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308 results on '"Myklebust, Helge"'

2. Object Detection During Newborn Resuscitation Activities

Author

Meinich-Bache, Øyvind, Engan, Kjersti, Austvoll, Ivar, Eftestøl, Trygve, Myklebust, Helge, Yarrot, Ladislaus Blacy, Kidanto, Hussein, and Ersdal, Hege

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Birth asphyxia is a major newborn mortality problem in low-resource countries. International guideline provides treatment recommendations; however, the importance and effect of the different treatments are not fully explored. The available data is collected in Tanzania, during newborn resuscitation, for analysis of the resuscitation activities and the response of the newborn. An important step in the analysis is to create activity timelines of the episodes, where activities include ventilation, suction, stimulation etc. Methods: The available recordings are noisy real-world videos with large variations. We propose a two-step process in order to detect activities possibly overlapping in time. The first step is to detect and track the relevant objects, like bag-mask resuscitator, heart rate sensors etc., and the second step is to use this information to recognize the resuscitation activities. The topic of this paper is the first step, and the object detection and tracking are based on convolutional neural networks followed by post processing. Results: The performance of the object detection during activities were 96.97 % (ventilations), 100 % (attaching/removing heart rate sensor) and 75 % (suction) on a test set of 20 videos. The system also estimate the number of health care providers present with a performance of 71.16 %. Conclusion: The proposed object detection and tracking system provides promising results in noisy newborn resuscitation videos. Significance: This is the first step in a thorough analysis of newborn resuscitation episodes, which could provide important insight about the importance and effect of different newborn resuscitation activities, Comment: 8 pages

Published
2023
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3. Activity Recognition From Newborn Resuscitation Videos

Author

Meinich-Bache, Øyvind, Austnes, Simon Lennart, Engan, Kjersti, Austvoll, Ivar, Eftestøl, Trygve, Myklebust, Helge, Kusulla, Simeon, Kidanto, Hussein, and Ersdal, Hege

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Objective: Birth asphyxia is one of the leading causes of neonatal deaths. A key for survival is performing immediate and continuous quality newborn resuscitation. A dataset of recorded signals during newborn resuscitation, including videos, has been collected in Haydom, Tanzania, and the aim is to analyze the treatment and its effect on the newborn outcome. An important step is to generate timelines of relevant resuscitation activities, including ventilation, stimulation, suction, etc., during the resuscitation episodes. Methods: We propose a two-step deep neural network system, ORAA-net, utilizing low-quality video recordings of resuscitation episodes to do activity recognition during newborn resuscitation. The first step is to detect and track relevant objects using Convolutional Neural Networks (CNN) and post-processing, and the second step is to analyze the proposed activity regions from step 1 to do activity recognition using 3D CNNs. Results: The system recognized the activities newborn uncovered, stimulation, ventilation and suction with a mean precision of 77.67 %, a mean recall of 77,64 %, and a mean accuracy of 92.40 %. Moreover, the accuracy of the estimated number of Health Care Providers (HCPs) present during the resuscitation episodes was 68.32 %. Conclusion: The results indicate that the proposed CNN-based two-step ORAAnet could be used for object detection and activity recognition in noisy low-quality newborn resuscitation videos. Significance: A thorough analysis of the effect the different resuscitation activities have on the newborn outcome could potentially allow us to optimize treatment guidelines, training, debriefing, and local quality improvement in newborn resuscitation., Comment: 10 pages

Published
2023
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8. Neonatal outcomes and resuscitation practices following the addition of heart rate-guidance to basic resuscitation.

Author

Patterson, Jackie K., Ishoso, Daniel, Lokangaka, Adrien, Iyer, Pooja, Lowman, Casey, Eilevstjønn, Joar, Haug, Ingunn, Kamath-Rayne, Beena D., Mafuta, Eric, Myklebust, Helge, Nolen, Tracy, Tshefu, Antoinette, Bose, Carl, and Berkelhamer, Sara

Subjects
CARDIAC resuscitation, ARTIFICIAL respiration, CONVENIENCE sampling (Statistics), RESOURCE-limited settings, PERINATAL death
Abstract

Aim: To evaluate the impact of heart rate-guided basic resuscitation compared to Helping Babies Breathe on neonatal outcomes and resuscitation practices in the Democratic Republic of the Congo. Methods: We conducted a pre-post clinical trial comparing heart rate-guided basic resuscitation to Helping Babies Breathe in three facilities, enrolling in-born neonates ≥28 weeks gestation. We collected observational data during a convenience sample of resuscitations and extracted clinical data from the medical record for all participants. We evaluated our primary outcome of effective breathing at three minutes after birth among newborns not breathing well at 30 seconds after birth employing generalized linear models using maximum likelihood estimation. Results: Among 1,284 newborns with observational data, there was no difference in the proportion effectively breathing at three minutes (adjusted relative risk 1.08 [95% CI 0.81, 1.45]). Among 145 receiving bag mask ventilation, time to bag mask ventilation decreased 64.3 seconds during heart rate-guided resuscitation (p<0.001). Among 10,906 enrolled in the trial, perinatal mortality was unchanged (adjusted relative risk 1.19 [95% CI 0.96, 1.48]) and death before discharge increased (adjusted relative risk 1.43 [95% CI 1.03, 1.99]). Expert review of stillborn cases demonstrated a stillbirth misclassification rate of 33.3% during Helping Babies Breathe versus 5.9% in heart rate-guided resuscitation. Conclusion: During heart rate-guided basic resuscitation, time to bag mask ventilation was reduced by greater than one minute. The increase in death before discharge and unchanged perinatal mortality may be due to resuscitation of newborns with a higher risk of mortality who were previously presumed stillborn. A cluster-randomized trial of heart rate-guided basic resuscitation is needed to evaluate its impact on neonatal mortality in low-resource settings. [ABSTRACT FROM AUTHOR]

Published
2025
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10. Mothers’ acceptability of using novel technology with video and audio recording during newborn resuscitation: A cross-sectional survey

Author

Kong, So Yeon Joyce, primary, Acharya, Ankit, additional, Basnet, Omkar, additional, Haaland, Solveig Haukås, additional, Gurung, Rejina, additional, Gomo, Øystein, additional, Ahlsson, Fredrik, additional, Meinich-Bache, Øyvind, additional, Axelin, Anna, additional, Basula, Yuba Nidhi, additional, Pokharel, Sunil Mani, additional, Subedi, Hira, additional, Myklebust, Helge, additional, and KC, Ashish, additional

Published
2024
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18. “Needed but lacked”: Exploring demand- and supply-side determinants of access to cardiopulmonary resuscitation training for the lay public in China

Author

Dong, Xuejie, primary, Kong, So Yeon Joyce, additional, Xu, Hanbing, additional, Ho, Andrew Fu Wah, additional, Blewer, Audrey L., additional, Birkenes, Tonje Soraas, additional, Myklebust, Helge, additional, Zheng, Xiaojian, additional, Li, Minghua, additional, Zheng, Zhi-Jie, additional, Zhang, Zhifeng, additional, and Zhang, Lin, additional

Published
2023
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19. Delayed and Interrupted Ventilation with Excess Suctioning after Helping Babies Breathe with Congolese Birth Attendants

Author

Patterson, Jackie K., primary, Ishoso, Daniel, additional, Eilevstjønn, Joar, additional, Bauserman, Melissa, additional, Haug, Ingunn, additional, Iyer, Pooja, additional, Kamath-Rayne, Beena D., additional, Lokangaka, Adrien, additional, Lowman, Casey, additional, Mafuta, Eric, additional, Myklebust, Helge, additional, Nolen, Tracy, additional, Patterson, Janna, additional, Tshefu, Antoinette, additional, Bose, Carl, additional, and Berkelhamer, Sara, additional

Published
2023
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20. HOW to train for telephone-CPR

Author

Birkenes, Tonje S., Myklebust, Helge, Hardeland, Camilla, Kramer-Johansen, Jo, Hock Ong, Marcus Eng, Shin, Sang Do, Panczyk, Micah, and Bobrow, Bentley J.

Published
2015
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23. Usability, acceptability and feasibility of a novel technology with visual guidance with video and audio recording during newborn resuscitation: a pilot study

Author

KC, Ashish, primary, Kong, So Yeon Joyce, additional, Basnet, Omkar, additional, Haaland, Solveig Haukås, additional, Bhattarai, Pratiksha, additional, Gomo, Øystein, additional, Gurung, Rejina, additional, Ahlsson, Fredrik, additional, Meinich-Bache, Øyvind, additional, Axelin, Anna, additional, Malla, Honey, additional, Basula, Yuba Nidhi, additional, Pathak, Om Krishna, additional, Pokharel, Sunil Mani, additional, Subedi, Hira, additional, and Myklebust, Helge, additional

Published
2022
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25. Perceptions and experiences of Congolese midwives implementing a low-cost battery-operated heart rate meter during newborn resuscitation

Author

Thornton, Madeline, primary, Ishoso, Daniel, additional, Lokangaka, Adrien, additional, Berkelhamer, Sara, additional, Bauserman, Melissa, additional, Eilevstjønn, Joar, additional, Iyer, Pooja, additional, Kamath-Rayne, Beena D., additional, Mafuta, Eric, additional, Myklebust, Helge, additional, Patterson, Janna, additional, Tshefu, Antoinette, additional, Bose, Carl, additional, and Patterson, Jackie K., additional

Published
2022
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29. Usability, acceptability and feasibility of a novel technology with visual guidance with video and audio recording during newborn resuscitation : a pilot study

Author

KC, Ashish, Kong, So Yeon Joyce, Basnet, Omkar, Haaland, Solveig Haukås, Bhattarai, Pratiksha, Gomo, Øystein, Gurung, Rejina, Ahlsson, Fredrik, Meinich-Bache, Øyvind, Axelin, Anna, Malla, Honey, Basula, Yuba Nidhi, Pathak, Om Krishna, Pokharel, Sunil Mani, Subedi, Hira, Myklebust, Helge, KC, Ashish, Kong, So Yeon Joyce, Basnet, Omkar, Haaland, Solveig Haukås, Bhattarai, Pratiksha, Gomo, Øystein, Gurung, Rejina, Ahlsson, Fredrik, Meinich-Bache, Øyvind, Axelin, Anna, Malla, Honey, Basula, Yuba Nidhi, Pathak, Om Krishna, Pokharel, Sunil Mani, Subedi, Hira, and Myklebust, Helge

Abstract

Objective: Inadequate adherence to resuscitation for non-crying infants will have poor outcome and thus rationalise a need for real-time guidance and quality improvement technology. This study assessed the usability, feasibility and acceptability of a novel technology of real-time visual guidance, with sound and video recording during resuscitation. Setting: A public hospital in Nepal. Design: A cross-sectional design. Intervention: The technology has an infant warmer with light, equipped with a tablet monitor, NeoBeat and upright bag and mask. The tablet records resuscitation activities, ventilation sound, heart rate and display time since birth. Healthcare providers (HCPs) were trained on the technology before piloting. Data collection and analysis: HCPs who had at least 8 weeks of experience using the technology completed a questionnaire on usability, feasibility and acceptability (ranged 1-5 scale). Overall usability score was calculated (ranged 1-100 scale). Results: Among the 30 HCPs, 25 consented to the study. The usability score was good with the mean score (SD) of 68.4% (10.4). In terms of feasibility, the participants perceived that they did not receive adequate support from the hospital administration for use of the technology, mean score (SD) of 2.44 (1.56). In terms of acceptability, the information provided in the monitor, that is, time elapsed from birth was easy to understand with mean score (SD) of 4.60 (0.76). Conclusion: The study demonstrates reasonable usability, feasibility and acceptability of a technological solution that records audio visual events during resuscitation and provides visual guidance to improve care.

Published
2022
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36. Quantitative analysis of CPR quality during in-hospital resuscitation of older children and adolescents

Author

Sutton, Robert M., Niles, Dana, Nysaether, Jon, Abella, Benjamin S., Arbogast, Kristy B., Nishisaki, Akira, Maltese, Matthew R., Donoghue, Aaron, Bishnoi, Ram, Helfaer, Mark A., Myklebust, Helge, and Nadkami, Vinay

Subjects
CPR (First aid) -- Quality management, CPR (First aid) -- Demographic aspects, CPR (First aid) -- Research, Pediatric emergencies -- Quality management, Pediatric emergencies -- Research
Published
2009

38. Assessment of breathing in cardiac arrest:a randomised controlled trial of three teaching methods among laypersons

Author

Breindahl, Niklas, Granholm, Anders, Jensen, Theo Walther, Ersbøll, Annette Kjær, Myklebust, Helge, Lippert, Freddy, Lippert, Anne, Breindahl, Niklas, Granholm, Anders, Jensen, Theo Walther, Ersbøll, Annette Kjær, Myklebust, Helge, Lippert, Freddy, and Lippert, Anne

Abstract

Background: The aim of this trial was to compare a video- and a simulation-based teaching method to the conventional lecture-based method, hypothesizing that the video- and simulation-based teaching methods would lead to improved recognition of breathing patterns during cardiac arrest. Methods: In this Danish, investigator-initiated, stratified, randomised controlled trial, adult laypersons (university students, military conscripts and elderly retirees) participating in European Resuscitation Council Basic Life Support courses were randomised to receive teaching on how to recognise breathing patterns using a lecture- (usual practice), a video-, or a simulation-based teaching method. The primary outcome was recognition of breathing patterns in nine videos of actors simulating normal breathing, no breathing, and agonal breathing (three of each). We analysed outcomes using logistic regression models and present results as odds ratios (ORs) with 95% confidence intervals (CIs) and P-values from likelihood ratio tests. Results: One hundred fifty-three participants were included in the analyses from February 2, 2018 through May 21, 2019 and recognition of breathing patterns was statistically significantly different between the teaching methods (P = 0.013). Compared to lecture-based teaching (83% correct answers), both video- (90% correct answers; OR 1.77, 95% CI: 1.19–2.64) and simulation-based teaching (88% correct answers; OR 1.48; 95% CI: 1.01–2.17) led to significantly more correct answers. Video-based teaching was not statistically significantly different compared to simulation-based teaching (OR 1.20; 95% CI: 0.78–1.83). Conclusion: Video- and simulation-based teaching methods led to improved recognition of breathing patterns among laypersons participating in adult Basic Life Support courses compared to the conventional lecture-based teaching method.

Published
2021

45. Quality of cardiopulmonary resuscitation during in-hospital cardiac arrest

Author

Abella, Benjamin S., Alvarado, Jason P., Myklebust, Helge, Edelson, Dana P., Barry, Anne, Becker, Lance B., Terry L. Vanden, and O'Hearn, Nicholas

Subjects
Cardiac arrest -- Risk factors, CPR (First aid) -- Causes of, CPR (First aid) -- Risk factors
Abstract

A study conducted to measure multiple parameters of in-hospital cardiopulmonary resuscitation (CPR) quality and to determine compliance with published American Heart Association and international guidelines is reported. The results revealed that the quality of multiple parameters of CPR was inconsistent and often did not meet published guideline recommendations, even when performed by well-trained hospital staff.

Published
2005

46. Quality of cardiopulmonary resuscitation during out-of-hospital cardiac arrest

Author

Wik, Lars, Kramer-Johansen, Jo, Sorebo, Hallstein, Svensson, Leif, Fellows, Bob, Myklebust, Helge, and Steen, Petter Andreas

Subjects
Medical personnel -- Research, CPR (First aid) -- Research
Abstract

The study conducted to measure the quality of out-of-hospital cardiopulmonary resuscitation (CPR) performed by ambulance personnel is reported. The results revealed that chest compressions were not delivered half of the time, and most compressions were too shallow.

Published
2005

49. Removal of cardiopulmonary resuscitation artifacts from human ECG using an efficient matching pursuit-like algorithm

Author

Husoy, John Hakon, Eilevstjonn, Joar, Eftestol, Trygve, Aase, Sven Ole, Myklebust, Helge, and Steen, Petter Andreas

Subjects
Emergency medicine -- Research, Electrocardiogram, Electrocardiography, Signal processing -- Methods, CPR (First aid) -- Methods, CPR (First aid) -- Care and treatment, Digital signal processor, Biological sciences, Business, Computers, Health care industry
Abstract

We present a computationally efficient and numerically robust solution to the problem of removing artifacts due to precordial compressions and ventilations from the human electrocardiogram (ECG) in an emergency medicine setting. Incorporated into automated external defibrillators, this would allow for simultaneous ECG signal analysis and administration of precordial compressions and ventilations, resulting in significant clinical improvement to the treatment of cardiac arrest patients. While we have previously demonstrated the feasibility of such artifact removal using a multichannel Wiener filter, we here focus on an efficient matching pursuit-like approach making practical real-time implementations of such a scheme feasible for a wide variety of sampling rates and filter lengths. Using more realistic data than what have been previously available, we present evidence showing the excellent performance of our approach and quantify its computational complexity. Index Terms--Adaptive filtering, artifact removal, ECG signal processing, matching pursuit, multichannel adaptive filtering.

Published
2002

50. Compression depth estimation for CPR quality assessment using DSP on accelerometer signals. (Communications)

Author

Aase, Sven O. and Myklebust, Helge

Subjects
CPR (First aid) -- Research, Signal processing -- Methods, Accelerometers -- Usage, Biological sciences, Business, Computers, Health care industry
Abstract

Chest compression is a vital part of cardiopulmonary resuscitation (CPR). This paper demonstrates how the compression depth can be estimated using the principles of inertia navigation. The proposed method uses accelerometer sensors, one placed on the patient's chest, the other heside the patient. The acceleration-to-position conversion is performed using discrete-time digital signal processing (DSP). Instability problems due to integration are combated using a set of boundary conditions. The proposed algorithm is tested on a mannequin in harsh environments, where the patient is exposed to external forces as in a boat or car, as well as improper sensor/patient alignment. The overall performance is an estimation depth error of 4.3 mm in these environments, which is reduced to 1.6 mm in a regular, fiat-floor controlled environment. Index Terms--Accelerometer, compression depth, resuscitation.

Published
2002

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