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2. Influence of Metallized Coils on Human Leg Blood Circulation

Author

Dekhtyar, Yuri, Jašina, Ksenija, Larins, Viesturs, Oks, Alexander, Pudovskis, Konstantins, Tolmača, Nelli, Vadhiraj, Vijay Vyas, Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Dekhtyar, Yuri, editor, and Saknite, Inga, editor

Published
2023
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3. Method to Detect Trigger Pulling Errors in Shooting Sports: Smart Textile Application

Author

Katashev, Alexei, Vevere, Adelina, Oks, Alexander, Terlecka, Galina, Saiva, Laima, Jansons, Mareks, Dyachenko, Natalya, Seglina, Patricija, Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Dekhtyar, Yuri, editor, and Saknite, Inga, editor

Published
2023
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5. Application of DAid Smart Shirt in Rehabilitation for Subacromial Pain Syndrome Patients Participating in High-Risk for Overuse Injury Sports

Author

Semjonova, Guna, Vetra, Janis, Oks, Alexander, Cauce, Vinita, Katashevs, Aleksejs, Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Dekhtyar, Yuri, editor, and Saknite, Inga, editor

Published
2023
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6. Smart Shirt for Uncontrolled Movement Retraining

Author

Eizentals, Peteris, Katashev, Alexei, Oks, Alexander, Semjonova, Guna, Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Henriques, Jorge, editor, Neves, Nuno, editor, and de Carvalho, Paulo, editor

Published
2020
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7. Development of a New Method to Monitor Shoulder Girdle Motion for Ballerina with Shoulder Impingement Syndrome Based on DAid Smart Shirt Application

Author

Semjonova, Guna, Vetra, Janis, Oks, Alexander, Katashev, Alexei, Magjarevic, Ratko, Editor-in-Chief, Ładyżyński, Piotr, Series Editor, Ibrahim, Fatimah, Series Editor, Lacković, Igor, Series Editor, Rock, Emilio Sacristan, Series Editor, Lhotska, Lenka, editor, Sukupova, Lucie, editor, and Ibbott, Geoffrey S., editor

Published
2019
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8. Application of Smart Sock System for Testing of Shoe Cushioning Properties

Author

Oks, Alexander, Katashev, Alexei, Eizentals, Peteris, Pavare, Zane, Balcuna, Darta, Magjarevic, Ratko, Editor-in-Chief, Ładyżyński, Piotr, Series Editor, Ibrahim, Fatimah, Series Editor, Lacković, Igor, Series Editor, Rock, Emilio Sacristan, Series Editor, Lhotska, Lenka, editor, Sukupova, Lucie, editor, and Ibbott, Geoffrey S., editor

Published
2019
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11. Development of Smart Sock System for Gate Analysis and Foot Pressure Control

Author

Oks, Alexander, Katashev, Alexei, Zadinans, M., Rancans, M., Litvak, J., Magjarevic, Ratko, Editor-in-chief, Ładyżyński, Piotr, Series editor, Ibrahim, Fatimah, Series editor, Lacković, Igor, Series editor, Rock, Emilio Sacristan, Series editor, Kyriacou, Efthyvoulos, editor, Christofides, Stelios, editor, and Pattichis, Constantinos S., editor

Published
2016
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13. Smart socks: new effective method of gait monitoring for systems with limited number of plantar sensors

Author

Oks, Alexander, Katashev, Alexei, Eizentals, Peteris, Rozenstoka, Sandra, and Suna, Dace

Abstract

Advanced version of DAid® Pressure Sock System (DPSS) for walking/running gait monitoring is proposed. The system enables to study in details time –related parameters of gait, such as foot strike time, stride/swing time, gradients of plantar loading/unloading, etc. both indoor and outdoor. A new method of data processing, analysis and representation is developed for such systems with limited quantity of sensors and implemented in DPSS software. The method considers the foot loading as a propagation of the plantar pressure wave, where separate sensors record amplitudes of pressure waves as reference points. Data processing includes scaling procedure that is based on application of sample entropy as the measure of sensors activity. Processed data are represented in the form of loading wave plots (WPs). WPs show load propagation across the sensors during the gait/stance. Developed system and method were tested for different types of walk/run and corresponding WPs were constructed and evaluated by sport medicine doctors. Good agreement between WPs – based analysis and diagnoses made by direct observation during walk/run tests confirms system efficacy and validity of results. Proposed method essentially simplifies gait studies and interpretation of the results.

Published
2024
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14. Smart shirt system for compensatory movement retraining assistance: feasibility study

Author

Eizentals, Peteris, Katashev, Alexei, Oks, Alexander, and Semjonova, Guna

Abstract

Movement retraining has proven to be a reliable way of treating compensatory movement faults, however, it is time-consuming and requires a lot of attention from a physiotherapist. Reliable movement retraining assistance system could enable patients to perform retraining exercises at home, thus increasing the possible exercise performance frequentness and consequently hasten the improvement. This paper describes a smart shirt system for movement retraining assistance. The smart shirt system is based on textile stretch sensors that are positioned over the typical movement fault sites for movement detection and monitoring. The information from the textile stretch sensors is used as visual feedback by the wearer for movement corrections. To verify the feasibility of the retraining assistance system, it was tested with a set of compensatory movement tests and retraining exercises. Each exercise was performed in a correct and incorrect manner, and the sensor measurement was analyzed to confirm the difference in measured signals between both cases. In total 11 exercises were performed to cover all of the typical compensatory movement sites, and for each retraining exercise, at least one sensor was identified, whose measurement could be used as feedback for the particular exercise.

Published
2024
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22. Smart textile device for shooter's fingers movement monitoring.

Author

Vevere, Adelina, Oks, Alexander, Katashev, Alexei, Terlecka, Galina, Saiva, Laima, Jansons, Mareks, Dyachenko, Natalya, and Seglina, Patricija

Subjects
*SMART devices, *FINGERS, *PRESSURE sensors, *PHALANGES, *MOTION capture (Human mechanics)
Abstract

Background: The manner in which shooters pull the trigger may significantly affect the shooter's results. Shooting coaches are often not able to detect incorrect pull because of gun movement during the shot and recoil.Objective: Development of the smart-textile based trigger pull monitoring system and demonstration of its ability to distinguish correct and wrong triggering techniques.Methods: Two separated knitted resistive pressure sensors were integrated over III and II phalanges in the index finger fingerstall; single sensor was integrated over both III and II phalanges of the middle finger fingerstall. Resistance of the sensors was measured in a course of shots, performed by expert shooter, which simulated typical novice's trigger pull errors.Results: Sensors' resistance recordings were made for following erroneous trigger pull motions: pulling of the trigger with index finger's II phalanx instead of III; fast and jerky trigger pull (trigger tear-off); too fast release of the trigger after shot; and excessive grip force, applied by middle finger. For each type of erroneous movement, recordings waveforms included distinguishable features that characterised a particular type of error.Conclusions: The developed trigger pull monitoring system provides signals that could be used for recognition of the incorrect trigger pull motions during gun shots. [ABSTRACT FROM AUTHOR]

Published
2022
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23. SMART GLOVE USAGE POSSIBILITY FOR BASKETBALL TRAINING: PROOF OF CONCEPT

Author

Oks J., Aleksander, Oks, Alexander, Katashev, Alexei, Eizentals, Peteris, Oks J., Aleksander, Oks, Alexander, Katashev, Alexei, and Eizentals, Peteris

Abstract

Nowadays, basketball is one of the most entertaining and popular sports. In the last years, the number of people that are dedicating themselves to basketball has grown rapidly. The increasing number of sportsmen defines the increasing demand to monitor and analyse their performance, hereby granting the possibility to review and evaluate mistakes made within different game phases, which, in turn, would be useful for future training. The present research is the first step to develop a wireless system (Smart Basketball Glove (SBG)) for basketball shot analysis and training. SBG system is based on knitted tension and pressure sensors that were already successfully used in Smart Socks and Smart Shirt applications. These sensors, while embedded into the proposed system’s textile part, showed high tactile sensitivity and speed of response and, therefore, demonstrates potential abilities to analyse the wrist and fingers movement and estimate the forces with which fingers interact with the ball during basketball shot. Necessary requirements for data acquisition and transition device of SBG are formulated for further system’s development as well.

Published
2019

29. THE GOOD, THE BAD AND THE UNRECOGNIZED: SMART TEXTILE SIGNAL CLUSTERING BY SELF-ORGANIZING MAP

Author

Shootov, Artyom, Chizhov, Yuriy, Oks, Alexander, Katashev, Alexei, Shootov, Artyom, Chizhov, Yuriy, Oks, Alexander, and Katashev, Alexei

Abstract

The present article is a series of publications dedicated to the research of smart fabric sensors integrated into socks and is also part of the project aimed at developing the measuring system based on smart fabric supplied with sensors and intellectual data processing. The aim of the article is to perform a practical study on the application of Self-Organizing Map to smart textile signal clustering. Within the framework of the research, different approaches to the organization of network training are explored. A method for encoding an input pattern is also proposed. It has been established that the network is able to recognize the signal as a good step, a bad step, and an unrecognized step. The primary classification allows further selecting specific algorithms for a detailed analysis of good steps and bad steps. The detailed analysis of bad steps is the key to solving the problem of revealing of an athlete’s special type of fatigue, leading to injuries.

Published
2017

33. Knitted Resistive Fabric: Properties and Applications.

Author

Oks, Alexander, Katashev, Alexei, and Litvak, Jurij

Subjects
*YARN, *ELECTROTEXTILES, *KNITTING, *STRAIN sensors, *DEFORMATIONS (Mechanics)
Abstract

The presented paper relates to the field of "smart textiles". A new type of knitted strain sensing elements (knitted resistive fabric (KRF)) which can be integrated in the smart garment was developed. KRF was produced from conductive resistive, nonconductive isolating and nonconductive elastomeric yarns. Elastomeric yarn was used as the base yarn and was knitted within the whole fabric, but isolating and resistive yarns (functional yarns) were used as face yarns and knitted in specific sequence. Electrical model of KRF is proposed to describe the behavior of sensing element. The developed KRF has high sensitivity to strain deformation and can be used as local strain sensor or distributed resistive sensing field to control deformation of human body parts, joint motion, respiration etc. [ABSTRACT FROM AUTHOR]

Published
2014
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