45 results on '"Aleksei A. Zhdanov"'
Search Results
2. Enteral insufficiency in different phases of acute pancreatitis
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Evgenii A. Korymasov, Sergey A. Ivanov, Mariya V. Kenarskaya, Maksim Yu. Khoroshilov, Aleksei V. Zhdanov, Nikita I. Anorev, Roman R. Yakovlev, and Dmitrii V. Maksimov
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enteral insufficiency syndrome ,acute pancreatitis ,multiple organ failure ,Medicine - Abstract
Aim – to study the integral scale for assessing enteral insufficiency in patients with acute pancreatitis during the phases of enzyme toxemia and purulent-destructive complications; to develop a strategy for choosing a method for enteral insufficiency correction. Material and methods. We have analyzed the treatment outcomes in 232 patients with acute pancreatitis admitted to the surgical department of the Samara Regional Clinical Hospital n. a. V.D. Seredavin for the period from 2013 to 2019. Two study groups were formed: retrospective and prospective. The retrospective (control) group included 175 patients whose treatment outcomes were assessed retrospectively for the parameters of the enteral insufficiency syndrome and measures were suggested for its differentiated correction. The prospective (intervention) group included 57 patients who were treated using the developed principles of enteral insufficiency correction. Results. The occurrence of I and II degrees of enteral insufficiency differed significantly depending on the phase of acute pancreatitis. When using complex correction of enteral insufficiency according to the proposed scheme, in patients in the phase of enzyme toxemia the I degree enteral insufficiency was prevalent, the patients in the purulent-destructive phase were more likely to have II degree enteral insufficiency. Conclusion. The timely inclusion of enteral insufficiency correction into the complex of therapeutic measures for pancreatitis may improve the treatment outcome in patients with moderate and severe phases of acute pancreatitis.
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- 2023
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3. Synthetic Electroretinogram Signal Generation Using Conditional Generative Adversarial Network for Enhancing Classification of Autism Spectrum Disorder.
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Mikhail Kulyabin, Paul A. Constable, Aleksei E. Zhdanov, Irene O. Lee, David H. Skuse, Dorothy A. Thompson, and Andreas Maier 0001
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- 2024
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4. OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods.
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Mikhail Kulyabin, Aleksei E. Zhdanov, Anastasia Nikiforova, Andrey Stepichev, Anna Kuznetsova, Mikhail Ronkin, Vasilii I. Borisov, Alexander Bogachev, Sergey Korotkich, Paul A. Constable, and Andreas K. Maier
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- 2023
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- View/download PDF
5. Blood Mixers for Transfusion Therapy: Blood Flow Estimation Based on PPG Technique.
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Lucian Evdochim, Aleksei E. Zhdanov, Vasilii I. Borisov, Dragos Dobrescu, and Leonid G. Dorosinsky
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- 2020
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6. Reflection Coefficient in Pressure Pulse of Human Blood Flow.
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Lucian Evdochim, Aleksei E. Zhdanov, Vasilii I. Borisov, and Dragos Dobrescu
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- 2020
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7. Low Temperature Plasma Vacuum Sterilization of Medical Devices by using SterAcidAgent®: Description and Distinctive Characteristics.
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Aleksei E. Zhdanov, Ilya M. Pahomov, Alexey I. Ulybin, and Vasilii I. Borisov
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- 2020
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8. Blood Mixers for Transfusion Therapy: Photoplethysmogram application for blood velocity determination.
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Lucian Evdochim, Aleksei E. Zhdanov, Vasilii I. Borisov, Dragos Dobrescu, and Leonid G. Dorosinsky
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- 2020
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9. Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals.
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Mikhail Kulyabin, Aleksei E. Zhdanov, Anton Yu. Dolganov, and Andreas Maier 0001
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- 2023
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10. Enhancing Electroretinogram Classification with Multi-Wavelet Analysis and Visual Transformer.
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Mikhail Kulyabin, Aleksei E. Zhdanov, Anton Yu. Dolganov, Mikhail Ronkin, Vasilii I. Borisov, and Andreas K. Maier
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- 2023
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11. Blood Pressure and Photoplethysmography Waveform Classification by Signal’s Morphology
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Lucian Evdochim, Aleksei E. Zhdanov, Lidia Dobrescu, Dragos Dobrescu, and Anton Yu. Dolganov
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- 2022
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12. Methods of Signal Analysis for Automatic Diagnosis of Shockable Cardiac Arrhythmias: A Review
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Daria A. Lipchak, Alexey A. Chupov, Aleksei E. Zhdanov, and Vasilii I. Borisov
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- 2022
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13. Photoplethysmography Signal Behavior in Relation with External Stimuli: Temperature and Compresion Force
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Lucian Evdochim, Aleksei E. Zhdanov, Lidia Dobrescu, Dragos Dobrescu, and Anton Yu. Dolganov
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- 2022
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14. Blood Pressure and Photoplethysmography Signal Pairs Characterization by Dicrotic Notch
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Lucian Evdochim, Aleksei E. Zhdanov, Lidia Dobrescu, Dragos Dobrescu, and Anton Yu. Dolganov
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- 2022
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15. Data Analytics of BP-PPG Dataset: Noninvasive Blood Pressure Assessment by Using Photoplethysmography Fiducial Points
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Lucian Evdochim, Aleksei E. Zhdanov, Lidia Dobrescu, and Dragos Dobrescu
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- 2022
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16. OculusGraphy: Description of Electroretinograms Database
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Vasilii I. Borisov, Xinqi Bao, Vyacheslav O. Ponomarev, Victor N. Kazaijkin, Anton Yu. Dolganov, Alexander V. Lizunov, Evdochim Lucian, and Aleksei E. Zhdanov
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genetic structures ,Database ,medicine.diagnostic_test ,business.industry ,Glaucoma ,Macular degeneration ,computer.software_genre ,medicine.disease ,eye diseases ,Choroideremia ,Cone dystrophy ,Retinitis pigmentosa ,medicine ,sense organs ,business ,computer ,Erg ,Electroretinography ,Retinopathy - Abstract
Electroretinography (ERG) has great potential in visual health detection in early diagnosis and intervention. To date, optical coherence tomography and other diagnostic tests are mainly used. Clinically used ERG is an important diagnostic assessment for various retinal diseases, such as hereditary diseases (retinitis pigmentosa, choroideremia, cone dystrophy, etc.), diabetic retinopathies, glaucoma, macular degeneration, toxic retinopathies etc. A database of five types of adult and pediatric biomedical electroretinography signals is presented in this study. In this study, the database is focused on the Maximum 2.0 ERG Response (80 pediatric signals, 42 adult signals) protocol. The tests were performed at the IRTC Eye Microsurgery Ekaterinburg Center. In this study, the EP-1000 Multifocal computerized electrophysiology workstation manufactured by Tomey GmbH was used. The aim of this study is to describe the existing database including the classification of signals and to determine the pediatric norms of the binocular program.
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- 2021
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17. OculusGraphy: Filtering of Pediatric Electroretinogram
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Anton Yu. Dolganov, Vasilii I. Borisov, Xinqi Bao, Victor N. Kazaijkin, Aleksei E. Zhdanov, Vyacheslav O. Ponomarev, Evdochim Lucian, and Alexander V. Lizunov
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Signal processing ,genetic structures ,Computer science ,business.industry ,Flashlight ,Field of view ,Signal ,Flash (photography) ,Waveform ,A priori and a posteriori ,Computer vision ,sense organs ,Artificial intelligence ,business ,Erg - Abstract
ERG is a biopotential response of various retinal cells formed by visual stimulation with a bright flashlight. The retina produces an appropriate response which is depending on the visual stimulation conditions. To ensure uniform flash intensity throughout the patient's field of view, the patient's chin is placed on a special ganzfeld platform. This installation realizes the uniformity of light stimulation distribution. During the examination, the patient looks at one point indicated in the ganzfeld. Flash intensity replacements are routinely regulated by the ISCEV standard, however, this study used standard EP-1000 (Tomey GmbH) protocols. Filtering is a key part of signal analysis. In accordance with the requirements of the standard, the filtration of (ERG) signals should be implemented using a posteriori methods. The source of this recommendation is the complex waveform and the presence of frequency components of different private ranges. Thus, this study described the selection of the optimal filtering method for the Maximum 2.0 ERG Response signal based on the posteriori method. The study used the original biomedical signals of adult patients previously published on the IEEE DataPort.
- Published
- 2021
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18. Prognostic significance of a set risk factors for acute pancreatitis after transpapillary interventions
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Evgenii Anatolevich Korimasov and Aleksei Viktorovich Zhdanov
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medicine.medical_specialty ,business.industry ,Psychological intervention ,Octreotide ,medicine.disease ,Young age ,Risk groups ,Internal medicine ,medicine ,Pancreatitis ,Acute pancreatitis ,Risk factor ,Complication ,business ,medicine.drug - Abstract
The urgency of the problem: Pancreatitis is one of the most severe complications of transpapillary interventions. It is not always possible to predict the occurrence of pancreatitis. Mortality from this complication reaches 3%. Research objective: To substantiate the prognostic significance of risk factors for the development of acute pancreatitis in patients undergoing transpapillary interventions. To establish the probability of complication development depending on a different combination of PEP risk factors. Materials and methods: 418 transpapillary interventions was performed on the base of NGHCI Railway Clinical Hospital on Samara station OAO RGHD for 2 years. Acute pancreatitis was observed in 41 (9%) cases. Patients treated during the listed period were stratified into two groups: active treatment group (retrospective) and control group (prospective). Based on the analysis of the first patients group the following PEP were identified: female sex, young age, cholelithiasis, uneven cannulation of MPD, atypical PST. It was found that patients didnt have one isolated risk factor. A combination of various risk factors was observed in all cases. Prediction of acute pancreatitis by applying the selection of patients with a high risk of complications is used in practice at the control group. The sensitivity of the PEP predictive method on the basis of identifying a risk group, on the basis of a factors combination which affect on the complication development was 96.6%. The specificity of this method is 97.1%. Results: The frequency of pancreatitis in the active treatment group and control group was 9% and 14% after ERCP performing. At the same time, the method of the determining the high risk of PEP, which was identified retrospectively, allowed predicting the complication development in most cases. Acute pancreatitis developed in 22 patients out of 27 who had a risk of developing this complication. Complex medicamentally prevention was performed for all patients with high risk of PEP. The group of patients most susceptible to the pancreatitis development which has the following combination of risk factors was selected: female sex, age from 20 to 40 years old, litoextraction with choledocholithiasis , atypical PST, cannulation of MPD. The risk of complications in a patient who has these risk factors is 88.8% according to our data. Conclusion: The identification of risk factors for the development of acute pancreatitis among patients undergoing transpapillary interventions allows to identify the group of patients most susceptible to complication. It allows starting a complex prevention of the complications development. Conservative prevention with Octreotides solution, infusion and antibacterial therapy is low-efficiency and does not reduce the risk of developing PEP. The introduction of other types of acute pancreatitis prevention, which have a more favorable effect and can prevent the pancreatitis development into clinical practice, is necessary.
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- 2019
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19. OculusGraphy: Norms for Electroretinogram Signals
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Vasilii I. Borisov, Xinqi Bao, Victor N. Kazaijkin, Evdochim Lucian, Aleksei E. Zhdanov, and Anton Yu. Dolganov
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medicine.medical_specialty ,Retina ,genetic structures ,medicine.diagnostic_test ,business.industry ,Glaucoma ,Retinal ,Macular degeneration ,medicine.disease ,Signal ,eye diseases ,chemistry.chemical_compound ,medicine.anatomical_structure ,chemistry ,Ophthalmology ,medicine ,sense organs ,business ,Erg ,Retinopathy ,Electroretinography - Abstract
Electroretinogram (ERG) is the non-invasive ocular test to assess the retinal function by measuring the photic irrational induced electrical responses of the cells in the retina, including the photoreceptors in the outer retina, inner retinal layers, and the final output neurons. Clinically used ERG is an important diagnostic assessment for various retinal diseases, such as hereditary diseases, diabetic retinopathies, glaucoma, macular degeneration, toxic retinopathies, etc. The presented ERG examination includes a series of electrophysiological tests of various types of electroretinography. The tests were performed at the IRTC Eye Microsurgery Ekaterinburg Center. In this study, the EP-1000 Multifocal computerized electrophysiology workstation manufactured by Tomey GmbH was used. This station is located in a separate isolated room and complies with ISCEV standards. Manual analysis of medical ophthalmic signals is a time-consuming process that involves operator training and skill. Analysis of ophthalmic signal data could advance much faster and be more cost-effective while reducing time and material costs through automation and optimization using signal processing and analysis methods available in the modern mathematical theory of signal processing. This paper described a Maximum 2.0 ERG Response time-frequency analysis.
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- 2021
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20. OculusGraphy: Filtering of Electroretinography Response in Adults
- Author
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Evdochim Lucian, Aleksei E. Zhdanov, Victor N. Kazaijkin, Anton Yu. Dolganov, Vasilii I. Borisov, and Xinqi Bao
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Signal processing ,genetic structures ,medicine.diagnostic_test ,Computer science ,business.industry ,Flashlight ,Field of view ,Signal ,Flash (photography) ,medicine ,Waveform ,Computer vision ,sense organs ,Artificial intelligence ,business ,Erg ,Electroretinography - Abstract
ERG is a biopotential response of various retinal cells formed by visual stimulation with a bright flashlight. The retina produces an appropriate response which is depending on the visual stimulation conditions. To ensure uniform flash intensity throughout the patient's field of view, the patient's chin is placed on a special ganzfeld platform. This installation realizes the uniformity of light stimulation distribution. During the examination, the patient looks at one point indicated in the ganzfeld. Flash intensity replacements are routinely regulated by the ISCEV standard, however, this study used standard EP-1000 (Tomey GmbH) protocols. Filtering is a key part of signal analysis. In accordance with the requirements of the standard, the filtration of (ERG) signals should be implemented using posteriori methods. The source of this recommendation is the complex waveform and the presence of frequency components of different private ranges. Thus, this study described the selection of the optimal filtering method for the Maximum 2.0 ERG Response signal based on the posteriori method. The study used the original biomedical signals of adult patients previously published on the IEEE DataPort.
- Published
- 2021
- Full Text
- View/download PDF
21. Electric Drive Control System Based on a Reversible Motor Driver
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Lucian Evdochim, Vasilii I. Borisov, Leonid G. Dorosinskiy, and Aleksei E. Zhdanov
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Motor controller ,Blood transfusion ,medicine.medical_treatment ,Control system ,medicine ,Production (economics) ,Blood supply ,Operations management ,Transfusion therapy ,Business ,Electric drive ,Whole blood - Abstract
One of the most critical elements in the international health system is blood donation. Unfortunately, several countries, mostly low-income, and middle-income countries have limited blood transfusion capacity. Less than 25% of the national blood supply is obtained from voluntary unpaid blood donors in 40 countries, and for that reason, the goal of the WHO for all countries is to obtain all blood supplies from voluntary unpaid blood donors. Since WHO needs to permanently increase and improve national blood services, it is necessary to implement the policies for more widely available blood for the patient. To minimize hemolysis and averaging the temperature field indicators over the entire volume of the blood bag, the above-described devices must implement mixing of whole blood smoothly and without jerks. Stirring in blood service apparatus is developed by using electric drives controlled by an electromechanical system, designed to convert electrical energy into mechanical energy. This article contains information about an electric drive control system based on a reversible motor driver. The results will be utilized for further modernization and development of new transfusion therapy devices using current LLC Leadcore production.
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- 2021
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22. Development of a Weight Sensor Based on Strain Gauge Transducer
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Leonid G. Dorosinskiy, Aleksei E. Zhdanov, and Lucian Evdochim
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Signal processing ,Microcontroller ,Transducer ,Automatic control ,Computer science ,Electronic engineering ,Schematic ,STM32 ,Oscilloscope ,Signal - Abstract
Blood mixers are primarily used to provide automatic uniform mixing of blood and preservative. It also provides automatic control over the speed and volume of blood supply. The essential technical parameter of donation units for transfusion therapy is the accuracy of mass registration. This article presents a developed weight sensor for estimating the mass of a blood mixer. The authors of the article described the selected schematic design. Modeled oscillograms were developed in the Micro-Cap environment. The showed approach of design a scheme based on generating strain gauge transducer signals and posterior signal processing by the STM32 microcontroller. To form rectangular pulses, comparators have used. The comparator’s input voltage level was set by the supply voltage. An obtained signal of the desired shape and permissible frequency has formed at the output of the circuit. The developed circuitry solution is implemented on the board and introduced into the work of the B.Mix blood mixer. Validation of the characteristics of the weight sensor board is performed using an industrial oscilloscope. The results obtained to comply with the requirements described in the technical documentation. This article is part of the work devoted to the modernization and development of new equipment for transfusion therapy based on LLC Leadcore production.
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- 2021
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23. Storage and Thawing Requirements for Blood Products in Russian Federation and CIS Countries
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Leonid G. Dorosinskiy, Aleksei E. Zhdanov, and Konstantin E. Negodyaev
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Technical support ,Procurement ,Risk analysis (engineering) ,Process (engineering) ,Russian federation ,Business - Abstract
Notwithstanding the development of technologies all over the world, there is still a problem of poor-quality procurement and storage of donor blood. Non-compliance with blood manipulation is often caused by poor-quality procurement of blood and its components. In order to enhance the efficiency and safety of transfusion care, the transportation of blood components may only be implemented by medical personnel. The storage and thawing of blood and its components is a complex technological process. The conditions for storage and thawing of blood components are established based on the requirements for maximum safety, viability, and functional usefulness during the entire using period. Storage and thawing conditions should be monitored continuously. In different countries, the requirements for storing and defrosting blood products differ due to different levels of technical support and legal framework. This article presents the requirements for the storage and thawing of blood components in accordance with the legitimate legislative framework in Russia and the CIS countries. This article incorporates a summary table of blood components, storage and thawing requirements, and links to relevant regulatory documents.
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- 2021
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24. Correlation Between Blood Pressure and Body Mass Index for Transfusion Therapy Setup
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Vasilii I. Borisov, Lucian Evdochim, Konstantin E. Negodyaev, Aleksei E. Zhdanov, and Leonid G. Dorosinskiy
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medicine.medical_specialty ,business.industry ,Medical equipment ,Blood flow ,medicine.disease ,Blood pressure ,Research participant ,Donation ,Diabetes mellitus ,medicine ,Transfusion therapy ,Intensive care medicine ,business ,Body mass index - Abstract
The physiologic parameters of the patients from a medical database can be useful to search models in health conditions. The current study used an open medical database where especially the blood pressure and diabetes are the parameters of interest. Based on this limited group of study participant it was modeled a so-called health state diagram which was tracked incidence number of an individual case. The study has searched for clearance between hypertension and diabetes and found a specific blood pressure where the two affections come together. To validate some aspects with respect to the health condition it needs some studies that required longtime monitoring of participant, therefore, the current paper leaves an open continuity. For patients with hypertension, the donation may be used as therapy. As part of the project for the modernization of medical equipment for transfusion therapy, it is necessary to develop a new series of blood mixers. In the case of donation of patients with hypertension (or diabetes), nonlinear fluctuation in blood flow velocity is possible. This leads to an incorrect collection of a bag of blood, which means spoilage of blood and its components. The results of this study will be taken into account when developing the hardware part and the software of the new series of blood mixers.
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- 2021
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25. Overview and Comparative Analysis of Plasma Thawing System
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Vasilii I. Borisov, Konstantin E. Negodyaev, Aleksei E. Zhdanov, and Leonid G. Dorosinskiy
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Materials science ,Medical treatment ,business.industry ,Blood product ,Test equipment ,Degree Celsius ,Defrosting ,Heat carrier ,Process engineering ,business ,Heating time - Abstract
Defrosting apparatus for cryopreserved blood products must perform defrosting to a target temperature of +37 degrees Celsius under conditions of an optimally selected and fixed heating time, ensure and maintain the biological value of the substance used for transfusion. When the target temperature of the substance to be thawed is reached, the temperature deviation from +37 degrees Celsius should not exceed ± 0.5 degrees Celsius. However, the currently existing technical means have an accuracy of maintaining the temperature during the thermostating process of ± 1 degree Celsius. During developing technical means for rapid high-precision defrosting of cryopreserved blood products, it is necessary to determine the parameters of the system, such as type of blood product, heat carrier, heating technology, overall dimensions of the defrosting chamber, volumes of bags with blood products to be opened, and so on. The combinatorial approach allows one to determine the optimal parameters of the system, however, to date, there are no studies of modeling the thawing of cryopreserved blood products for transfusion-infusion therapy, taking into account the multivariance of the thawing system. Thus, in the development of technical means for rapid high-precision defrosting of cryopreserved blood products for transfusion-infusion therapy, the fundamental task is to develop a software solution for simulating defrosting systems. This article shows the review and comparative analysis of electronic test equipment for defrosting and heating plasma, blood and infusion solutions.
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- 2021
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26. INFLUENCE OF THE TEMPERATURE FIELD ON THE DEFROSTATION TIME OF PLASMA BAG
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Aleksei E. Zhdanov and Leonid G. Dorosinskiy
- Abstract
The reported study was funded by RFBR, project number 20-37-90037.
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- 2021
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27. OculusGraphy: Ocular Examination for Toxicity Evaluation Based on Biomedical Signals
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Vasilii I. Borisov, Leonid G. Dorosinskiy, Anton Yu. Dolganov, Xinqi Bao, Lucian Evdochim, Aleksei E. Zhdanov, Vyacheslav O. Ponomarev, Victor N. Kazajkin, and Alexander V. Lizunov
- Subjects
Spectrum analyzer ,Retina ,genetic structures ,medicine.diagnostic_test ,business.industry ,Visual evoked potentials ,Electrooculography ,eye diseases ,Electrophysiology ,medicine.anatomical_structure ,Optical coherence tomography ,medicine ,Multifocal electroretinography ,business ,Neuroscience ,Electroretinography - Abstract
The electrophysiological examination in ophthalmology is a non-invasive procedure based on the recording of electrical activity outside and inside the visual analyzer. Electrophysiological (EP) examination in ophthalmology is an indispensable method for an objective assessment of the functional state of the components of the visual analyzer based on biomedical signals analysis. There are methods such as optical coherence tomography that may objectively evaluate the structural and anatomical integrity of the retina. However, this method indirectly shows the functional activity of the eye. The undoubted advantage of EP is the ability to perform a functional topographic assessment of malfunctions of all visual analyzer systems. EP examination of the vision organ is represented by a variety of methods for recording the electrobiological activity of the cells of the visual analyzer, namely electroretinography, electrooculography, visual evoked potentials, and multifocal electroretinography. It should be noted that each test is aimed at a separate part of the eye functions, therefore, several methods may be used in research works on animal models. The limitation of EP is the complexity and many confounding factors that can affect the final result, ranging from stimulation parameters to the state of the patient himself. The main field of prospective use of EP is the differential diagnosis, preclinical toxicology, and scientific and experimental models in the meantime.
- Published
- 2020
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28. OculusGraphy: Literature Review on Electrophysiological Research Methods in Ophthalmology and Electroretinograms Processing Using Wavelet Transform
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Vasilii I. Borisov, Xinqi Bao, Alexander V. Lizunov, Evdochim Lucian, Anton Yu. Dolganov, Victor N. Kazajkin, Vyacheslav O. Ponomarev, Aleksei E. Zhdanov, and Leonid G. Dorosinskiy
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medicine.medical_specialty ,Electrophysiology ,Spectrum analyzer ,genetic structures ,Oscillatory potentials ,Computer science ,Ophthalmology ,Ocular Pathology ,medicine ,Wavelet transform ,Signal ,Objective assessment ,Visualization - Abstract
To date, electrophysiological research (EPR) remains an important source of objective assessment of the visual analyzer functional state. The ability to exclude the EPR subject subjectivity is no doubt an attractive advantage of EPR. In particular, an essential advantage is the functional topographic assessment of the malfunction of the visual analyzer systems. Localized electrophysiology of the vision organ is submitted by a variety of methods for recording the biomedical signals. High complexity and many confounder factors during signal receiving may be complicated by the final result analyzing given by ranging from stimulation parameters to the state of the patient himself. Differential diagnosis, preclinical toxicology, and scientific and experimental models are the main emphasis of EPR. Potential prospects of EPR provide new opportunities for effective implementation of multifocal electroretinography. Classical EPR does not provide detailed and quantitative information about the state of the visual analyzer. This implies the need to optimize and algorithmize assessment data of ophthalmic pathology, even more than before, environmental concerns differentiated criteria inherent into a particular ocular pathology. This article presents literature review of electrophysiological methods in ophthalmology and the processing of electroretinograms using wavelet transform. To efficient processing of electroretinograms, it is necessary to separate the high-frequency and low-frequency components from the experimental signal. The low-frequency component is an oscillatory response or oscillatory potentials generated by the cells of the inner layers of the retina. This article notes the need to vary the basis functions of the wavelet transform and the methods of time-frequency analysis based on the results of electroretinograms processing.
- Published
- 2020
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29. СИСТЕМА МОНИТОРИНГА СОСТОЯНИЯ ДОРОЖНОГО ПОЛОТНА С ПОМОЩЬЮ АВТОМАТИЧЕСКОГО РАДИОКОМПЛЕКСА
- Author
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Aleksei E. Zhdanov, Viktor A. Chechetkin, and Denis A. Letavin
- Abstract
Система мониторинга состояния дорожного полотна с использованием автоматического радиокомплекса. Суть проекта: разработка и установка автономных радиокомплексов вдоль дорожного полотна для сбора данных о состоянии его поверхности. Возможный профит проекта: Сокращение количества ДТП, своевременное обнаруживание дефектов дорожного полотна, экономия на ремонте ходовой части ТС, модернизация ИТИС-KAMAZ.
- Published
- 2020
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30. Blood Mixers for Transfusion Therapy:Photoplethysmogram application for blood velocity determination
- Author
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Leonid G. Dorosinsky, Vasilii I. Borisov, Aleksei E. Zhdanov, Dragos Dobrescu, and Lucian Evdochim
- Subjects
Blood velocity ,Computer science ,Photoplethysmogram ,Real-time computing ,Blood volume ,Transfusion therapy ,Blood flow - Abstract
Photoplethysmogram is an image of blood flow changes in the human body. It isn’t a simple shape signal rather it has at least six principle parameters form who derivate another useful. In the last decade, the PPG was exploited in order to extract more useful information about physiologic parameters. The current paper will focus on the blood flow velocity where this feature has a major implication in the blood mixer device. It needs to constantly monitor the transfused blood volume with the most accurate level. In transfusiological practice, special attention is paid to the accuracy of donation. The accuracy of donation means the correlation of a given volume and the resulting volume of the blood bag. Therefore, implementing the PPG principle to this device it can offer a good advantage at measuring the blood flow. This article is part of the work devoted to the modernization and development of new equipment for transfusion therapy based on LLC Lidkor production.
- Published
- 2020
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31. Blood Mixers for Transfusion Therapy: Method of Blood Flow Velocity Determination Based on Photoplethysmogram
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Vasilii I. Borisov, Aleksei E. Zhdanov, Leonid G. Dorosinsky, and Lucian Evdochim
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Blood donor ,Flow velocity ,Control theory ,Computer science ,Photoplethysmogram ,Work (physics) ,Process (computing) ,Transfusion therapy ,Blood flow ,Signal - Abstract
In existing systems for blood donation, flow rate estimation is implemented using various force sensors. However, in the event of the inoperability of the force sensor, the mass of the blood packet may be greater or less than a predetermined volume. This fact leads to the improper storage of blood and its components, which means that blood products can be spoiled. Thus, it is necessary to develop duplicate systems to control blood flow velocity. This article presents a PPG-based blood flow rate estimation method. Photoplethymogram, known as abbreviated PPG, is an image of blood flow changes in the human body. It isn’t a simple shape signal rather it has at least six principle parameters form who derivate another useful. In the last decade, the PPG was exploited in order to extract more useful information about physiologic parameters. The article discusses possible options for the passage of blood flow through the tube, as well as modeling the real process of donation. This article is part of the work devoted to the modernization and development of new equipment for transfusion therapy based on LLC Lidkor production.
- Published
- 2020
- Full Text
- View/download PDF
32. Overview of Blood Mixers for Transfusion Therapy: Characteristics, Features, and Development Potential
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Konstantin E. Negodyaev, Vasilii I. Borisov, Aleksei E. Zhdanov, and Leonid G. Dorosinsky
- Subjects
medicine.medical_specialty ,Blood transfusion ,business.industry ,medicine.medical_treatment ,Transfusion medicine ,equipment and supplies ,Blood center ,Blood donor ,Donation ,Volume measurement ,medicine ,Transfusion therapy ,Medical physics ,business - Abstract
This article presents a comparative analysis of 5 blood mixers based on the corporation of characteristics, features of the most popular technical solutions. The described petal diagram indicates the five presented blood mixers according to the following indicators. Volume measurement accuracy during the donation of 450 grams, volume measurement accuracy during the donation of 50 grams, and agitation velocity of a blood bag. The article provides summary statistics on blood transfusions in Russia. In addition, the article formulated the development prospects of hardware solutions for blood donation taking into account the latest trends of the Russian Association of Transfusiologists, the American Association of Blood Banks (AABB) and the International Society of Blood Transfusion (ISBT). The conclusions are that for the blood mixers using in transfusion therapy for action related to donation and weighting, the key factor is the accuracy of weighing. In particular, French mixer MACOMIX DCN 7 is preferable to use in transfusion practice in comparison with the other blood mixers.
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- 2020
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33. Low Temperature Plasma Vacuum Sterilization of Medical Devices by using SterAcidAgent®: Description and Distinctive Characteristics
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Vasilii I. Borisov, Alexey I. Ulybin, Ilya M. Pahomov, and Aleksei E. Zhdanov
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chemistry.chemical_compound ,Materials science ,Chemical engineering ,chemistry ,Low temperature plasma ,Sterilization (microbiology) ,Rf discharge ,Peroxide - Published
- 2020
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34. Low-Temperature Plasma Sterilization: Bactericidal Evaluation of Sterilization Using a SterAcidAgent®
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Alexey I. Ulybin, Ilya M. Pahomov, and Aleksei E. Zhdanov
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chemistry.chemical_classification ,Chemistry ,Low temperature plasma ,010501 environmental sciences ,Sterilization (microbiology) ,01 natural sciences ,Peroxide ,010305 fluids & plasmas ,chemistry.chemical_compound ,0103 physical sciences ,Hydrogen peroxide ,0105 earth and related environmental sciences ,Nuclear chemistry ,Organic acid - Abstract
This article presents a bactericidal evaluation of sterilization using a mixture of peroxide and organic acid as the sterilized agent (SterAcidAgent®). Such a composition of a sterilizing agent reduces the concentration of hydrogen peroxide and increases the bactericidal property of the mixture. We conducted studies of the sterilizing activity of 5-carboxylic low molecular weight acids, investigated the effect of basicity and hydroxyl group in the alpha position on sterilizing activity, and proposed a potential composition for a new line of sterilizing agents.
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- 2019
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35. Modeling, Analysis and Performance Evaluations of Phantom Positioning by Using kV X-ray Imaging, CBCT, and IR Camera
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Vasiliy I. Borisov, Aleksei E. Zhdanov, and Leonid G. Dorosinsky
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Ir camera ,business.industry ,Computer science ,X-ray ,equipment and supplies ,Linear particle accelerator ,Imaging phantom ,body regions ,mental disorders ,Computer vision ,Artificial intelligence ,business ,Quality assurance ,psychological phenomena and processes - Abstract
In this article, we performed the positioning modeling of several phantoms on the VERO radiation device. We used different positioning methods to position several phantoms and checking functionality. As reference phantom, we used pelvic phantom to check the accuracy of the registration algorithm in terms of using bony anatomy information or artificial markers positions. All data and images which were used in this article were taken by the linear accelerator (Linac) of the University Clinic of Erlangen.
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- 2019
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36. IMRT Verification, Analysis and Performance Evaluations: Modeling of Dose Delivery by Shifting MLC Angel and Phantom Position
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Vasiliy I. Borisov, Aleksei E. Zhdanov, and Leonid G. Dorosinsky
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Multileaf collimator ,Workflow ,business.industry ,Position (vector) ,Computer science ,Process (computing) ,Image processing ,business ,Radiation treatment planning ,Quality assurance ,Simulation ,Imaging phantom - Abstract
In modern radiology treatment workflow, verification is a critical process for determining the validity of specific treatment planning. In this article, we verified a treatment plan by modeling of dose delivery by shifting MLC angel and phantom position. The study result shows that any error during the verification process such as an error in the MLC angle or the phantom positioning may lead to different passing rate and refuse a plan, which it is correct originally.
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- 2019
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37. Quality Assurance Algorithms for the Isocenter, FOV, MLC Leakage, Dynamic MLC Banks Position and Leaf Position Measurements
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Aleksei E. Zhdanov, Vasiliy I. Borisov, and Leonid G. Dorosinsky
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Multileaf collimator ,business.industry ,Computer science ,Absorbed dose ,Isocenter ,Image processing ,Dose distribution ,business ,Quality assurance ,Linear particle accelerator ,Simulation ,Leakage (electronics) - Abstract
This article proposes a methodology for determining the dose distribution quality assurance resulting from deviations of the mechanical parameters of medical linear electron accelerators and identified during periodic quality control. The features of determining a representative patient and creating phantoms needed to analyze the detected deviations in the absorbed dose taking into account the parameters of tumors and risk organs are discussed. It is shown that the use of the technique allows us to express the results of periodic quality control of the mechanical characteristics of a linear accelerator in units of absorbed dose. Thus, most accurately assess the possibility of the clinical use of this apparatus for patient irradiation, as well as reduce the dose distribution errors.
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- 2019
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38. A Novel Bicyclophosphite Ligand Directly Yields Rhodium Hydride Complexes
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Andrei B. Koudriavtsev, Wolfgang Linert, Aleksei A. Zhdanov, A. T. Teleshev, and E. E. Nifant'ev
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Crystallography ,Ligand ,Hydride ,Stereochemistry ,Chemistry ,Molecule ,chemistry.chemical_element ,Aromaticity ,General Chemistry ,Nuclear magnetic resonance spectroscopy ,HOMO/LUMO ,Hydroformylation ,Rhodium - Abstract
Complexation of Rh(I) with o, o′-dimethylene-(tris-p-cresyl)-bicyclophosphite (BCP, 1) has been investigated in solution by NMR, semi-empirical quantum mechanical, and molecular mechanics calculations. 1H and 31P NMR spectroscopic data show that when the BCP/Rh ratio exceeds 2, Rh hydride complexes of the composition RhH(BCP)3 and RhH(BCP)4 are formed. The source of the hydride ion is the ligand itself; most probably, H− originates from the bridging CH2 groups of BCP. The chemical shifts of these protons are sensitive to complexation due to the considerable electron density of HOMO and LUMO at one of the bridging CH2 moieties. Molecular mechanics simulations of the molecular structure of these complexes show that two cavities are formed in [Rh(BCP)3]+ by the aromatic rings of the ligands. These cavities may alternatively open and close, thus providing for a flexibly shielded catalytic site which explains the unusual catalytic behaviour of Rh complexes with BCP in hydrogenation and hydroformylation reactions.
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- 2001
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39. Segment Anything in Optical Coherence Tomography: SAM 2 for Volumetric Segmentation of Retinal Biomarkers.
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Kulyabin M, Zhdanov A, Pershin A, Sokolov G, Nikiforova A, Ronkin M, Borisov V, and Maier A
- Abstract
Optical coherence tomography (OCT) is a non-invasive imaging technique widely used in ophthalmology for visualizing retinal layers, aiding in the early detection and monitoring of retinal diseases. OCT is useful for detecting diseases such as age-related macular degeneration (AMD) and diabetic macular edema (DME), which affect millions of people globally. Over the past decade, the area of application of artificial intelligence (AI), particularly deep learning (DL), has significantly increased. The number of medical applications is also rising, with solutions from other domains being increasingly applied to OCT. The segmentation of biomarkers is an essential problem that can enhance the quality of retinal disease diagnostics. For 3D OCT scans, AI is beneficial since manual segmentation is very labor-intensive. In this paper, we employ the new SAM 2 and MedSAM 2 for the segmentation of OCT volumes for two open-source datasets, comparing their performance with the traditional U-Net. The model achieved an overall Dice score of 0.913 and 0.902 for macular holes (MH) and intraretinal cysts (IRC) on OIMHS and 0.888 and 0.909 for intraretinal fluid (IRF) and pigment epithelial detachment (PED) on the AROI dataset, respectively.
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- 2024
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40. Electroretinogram Analysis Using a Short-Time Fourier Transform and Machine Learning Techniques.
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Albasu F, Kulyabin M, Zhdanov A, Dolganov A, Ronkin M, Borisov V, Dorosinsky L, Constable PA, Al-Masni MA, and Maier A
- Abstract
Electroretinography (ERG) is a non-invasive method of assessing retinal function by recording the retina's response to a brief flash of light. This study focused on optimizing the ERG waveform signal classification by utilizing Short-Time Fourier Transform (STFT) spectrogram preprocessing with a machine learning (ML) decision system. Several window functions of different sizes and window overlaps were compared to enhance feature extraction concerning specific ML algorithms. The obtained spectrograms were employed to train deep learning models alongside manual feature extraction for more classical ML models. Our findings demonstrated the superiority of utilizing the Visual Transformer architecture with a Hamming window function, showcasing its advantage in ERG signal classification. Also, as a result, we recommend the RF algorithm for scenarios necessitating manual feature extraction, particularly with the Boxcar (rectangular) or Bartlett window functions. By elucidating the optimal methodologies for feature extraction and classification, this study contributes to advancing the diagnostic capabilities of ERG analysis in clinical settings.
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- 2024
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41. Generating Synthetic Light-Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under-Represented Populations.
- Author
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Kulyabin M, Zhdanov A, Maier A, Loh L, Estevez JJ, and Constable PA
- Abstract
Visual electrophysiology is often used clinically to determine the functional changes associated with retinal or neurological conditions. The full-field flash electroretinogram (ERG) assesses the global contribution of the outer and inner retinal layers initiated by the rods and cone pathways depending on the state of retinal adaptation. Within clinical centers, reference normative data are used to compare clinical cases that may be rare or underpowered within a specific demographic. To bolster either the reference dataset or the case dataset, the application of synthetic ERG waveforms may offer benefits to disease classification and case-control studies. In this study and as a proof of concept, artificial intelligence (AI) to generate synthetic signals using generative adversarial networks is deployed to upscale male participants within an ISCEV reference dataset containing 68 participants, with waveforms from the right and left eye. Random forest classifiers further improved classification for sex within the group from a balanced accuracy of 0.72-0.83 with the added synthetic male waveforms. This is the first study to demonstrate the generation of synthetic ERG waveforms to improve machine learning classification modelling with electroretinogram waveforms., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2024 Mikhail Kulyabin et al.)
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- 2024
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42. OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods.
- Author
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Kulyabin M, Zhdanov A, Nikiforova A, Stepichev A, Kuznetsova A, Ronkin M, Borisov V, Bogachev A, Korotkich S, Constable PA, and Maier A
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- Humans, Diabetic Retinopathy diagnostic imaging, Macular Edema diagnostic imaging, Deep Learning, Retina diagnostic imaging, Tomography, Optical Coherence, Retinal Diseases diagnostic imaging
- Abstract
Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. This work presents an open-access OCT dataset (OCTDL) comprising over 2000 OCT images labeled according to disease group and retinal pathology. The dataset consists of OCT records of patients with Age-related Macular Degeneration (AMD), Diabetic Macular Edema (DME), Epiretinal Membrane (ERM), Retinal Artery Occlusion (RAO), Retinal Vein Occlusion (RVO), and Vitreomacular Interface Disease (VID). The images were acquired with an Optovue Avanti RTVue XR using raster scanning protocols with dynamic scan length and image resolution. Each retinal b-scan was acquired by centering on the fovea and interpreted and cataloged by an experienced retinal specialist. In this work, we applied Deep Learning classification techniques to this new open-access dataset., (© 2024. The Author(s).)
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- 2024
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43. Enhancing Electroretinogram Classification with Multi-Wavelet Analysis and Visual Transformer.
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Kulyabin M, Zhdanov A, Dolganov A, Ronkin M, Borisov V, and Maier A
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- Adult, Humans, Child, Electroretinography methods, Retina physiology, Machine Learning, Wavelet Analysis, Color Vision
- Abstract
The electroretinogram (ERG) is a clinical test that records the retina's electrical response to light. Analysis of the ERG signal offers a promising way to study different retinal diseases and disorders. Machine learning-based methods are expected to play a pivotal role in achieving the goals of retinal diagnostics and treatment control. This study aims to improve the classification accuracy of the previous work using the combination of three optimal mother wavelet functions. We apply Continuous Wavelet Transform (CWT) on a dataset of mixed pediatric and adult ERG signals and show the possibility of simultaneous analysis of the signals. The modern Visual Transformer-based architectures are tested on a time-frequency representation of the signals. The method provides 88% classification accuracy for Maximum 2.0 ERG, 85% for Scotopic 2.0, and 91% for Photopic 2.0 protocols, which on average improves the result by 7.6% compared to previous work.
- Published
- 2023
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44. Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals.
- Author
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Kulyabin M, Zhdanov A, Dolganov A, and Maier A
- Subjects
- Humans, Child, Electroretinography, Artificial Intelligence, Wavelet Analysis
- Abstract
The continuous advancements in healthcare technology have empowered the discovery, diagnosis, and prediction of diseases, revolutionizing the field. Artificial intelligence (AI) is expected to play a pivotal role in achieving the goals of precision medicine, particularly in disease prevention, detection, and personalized treatment. This study aims to determine the optimal combination of the mother wavelet and AI model for the analysis of pediatric electroretinogram (ERG) signals. The dataset, consisting of signals and corresponding diagnoses, undergoes Continuous Wavelet Transform (CWT) using commonly used wavelets to obtain a time-frequency representation. Wavelet images were used for the training of five widely used deep learning models: VGG-11, ResNet-50, DensNet-121, ResNext-50, and Vision Transformer, to evaluate their accuracy in classifying healthy and unhealthy patients. The findings demonstrate that the combination of Ricker Wavelet and Vision Transformer consistently yields the highest median accuracy values for ERG analysis, as evidenced by the upper and lower quartile values. The median balanced accuracy of the obtained combination of the three considered types of ERG signals in the article are 0.83, 0.85, and 0.88. However, other wavelet types also achieved high accuracy levels, indicating the importance of carefully selecting the mother wavelet for accurate classification. The study provides valuable insights into the effectiveness of different combinations of wavelets and models in classifying ERG wavelet scalograms.
- Published
- 2023
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45. OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms.
- Author
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Zhdanov A, Constable P, Manjur SM, Dolganov A, Posada-Quintero HF, and Lizunov A
- Abstract
Background: The electroretinogram is a clinical test used to assess the function of the photoreceptors and retinal circuits of various cells in the eye, with the recorded waveform being the result of the summated response of neural generators across the retina., Methods: The present investigation involved an analysis of the electroretinogram waveform in both the time and time-frequency domains through the utilization of the discrete wavelet transform and continuous wavelet transform techniques. The primary aim of this study was to monitor and evaluate the effects of treatment in a New Zealand rabbit model of endophthalmitis via electroretinogram waveform analysis and to compare these with normal human electroretinograms., Results: The wavelet scalograms were analyzed using various mother wavelets, including the Daubechies, Ricker, Wavelet Biorthogonal 3.1 (bior3.1), Morlet, Haar, and Gaussian wavelets. Distinctive variances were identified in the wavelet scalograms between rabbit and human electroretinograms. The wavelet scalograms in the rabbit model of endophthalmitis showed recovery with treatment in parallel with the time-domain features., Conclusions: The study compared adult, child, and rabbit electroretinogram responses using DWT and CWT, finding that adult signals had higher power than child signals, and that rabbit signals showed differences in the a-wave and b-wave depending on the type of response tested, while the Haar wavelet was found to be superior in visualizing frequency components in electrophysiological signals for following the treatment of endophthalmitis and may give additional outcome measures for the management of retinal disease.
- Published
- 2023
- Full Text
- View/download PDF
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