Warianty tytułu
Języki publikacji
Abstrakty
The article presents information about the measurement of a muscle activity with the usage of infrared sensor MAX30105. Data registered with this sensor are then compared with the electromyography data. The results of statistical analysis of measurement data were also presented.
Słowa kluczowe
Rocznik
Tom
Strony
95--98
Opis fizyczny
Bibliogr. 6 poz., rys.
Twórcy
autor
- Faculty of Electrical Engineering, Automatic Control and Informatics Institute of Electric Power Engineering and Renewable Energy
Bibliografia
- [1] SIKORA M., PASZKIEL S.: Identyfikacja ruchu palców na podstawie analizy elektromiogramu. Pomiary Automatyka Robotyka, No. 2, pp. 11–16, 2018
- [2] NISSLER, C., MOURIKI, N., CASTELLINI, C., BELAGIANNIS, V. AND NAVAB, N.: OMG: introducing optical myography as a new human machine interface for hand amputees. 2015 IEEE International Conference on Rehabilitation Robotics (ICORR), Singapore, pp. 937–942, 2015
- [3] FUJIWARA, E. AND SUZUKI, C.K.: Optical fiber force myography sensor for identification of hand postures. Journal of Sensors, Article ID 8940373, 2018
- [4] WU, H., WANG, D., HUANG, Q. AND GAO, L.: Real-time continuous recognition of knee motion using multi-channel mechanomyography signals detected on clothes. Journal of Electromyography and Kinesiology, Vol. 38, pp. 94–102
- [5] HERRMANN, S., ATTENBERGER, A. AND BUCHENRIEDER, K.: Prostheses control with combined near-infrared and myoelectric signals. Computer Aided Systems Theory - EUROCAST 2011, pp. 601–608, 2011
- [6] IZZETOGLU, M., IZZETOGLU, K., BUNCE, S., AYAZ, H., DEVARAJ, A., ONARAL, B. AND POURREZAEI, K.: Functional near-infrared neuroimaging. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 13, Issue 2, pp. 153–159
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-00c1dd42-f401-48e5-9b3a-082153d5c026