General concept of the EMG controlled bionic hand

Authors

DOI:

https://doi.org/10.5604/01.3001.0014.1901

Keywords:

EMG, neural-networks, machine-learning, Fourier Transform, Hilbert-Huang Transform, Hodgkin-Huxley model

Abstract

The article presents a general concept of a bionic hand control system using a multichannel EMG signal, being under development at present. The method of acquisition and processing of multi-channel EMG signal and feature extraction for machine learning were described. Moreover, the design of the control system implementation in the real-time embedded system was discussed.

Downloads

Download data is not yet available.

Błaszczyk JW. Biomechanika kliniczna. Warszawa: PZWL; 2014.   Google Scholar

Murray RK, Granner DK, Rodwell VW. Biochemia Harpera. Warszawa: PZWL; 2008.   Google Scholar

Chandra R. hhrun - Hodgkin Huxley model simulation for user defined input current. MATLAB Central File Exchange, [Online]. Available: https://www.mathworks.com/matlabcentral/fileexchange/46740-hhrun-hodgkin-huxley-model-simulation-for-user-defined-input-current. (accessed 10.12.2019).   Google Scholar

Wołczowski A, Błędowski M, Witkowski J. System do rejestracji sygnałów EMG i MMG dla sterowania bioprotezą dłoni. Prace Naukowe Politechniki Warszawskiej. Elektronika. 2016;195(1);167-178.   Google Scholar

DFRobot Bionic Robot Hand, DFRobot, [Online]. Available: https://www.dfrobot.com/product-1623.html. (accessed 2019.12.11).   Google Scholar

Saebo, [Online]. Available: https://www.saebo.com/shop/saeboglove/. (accessed 2019.12.11).   Google Scholar

Recommendations for sensor locations on individual muscles, SENIAM, [Online]. Available: www.seniam.org/sensor_location.htm. (accessed 07.06.2020).   Google Scholar

Yoo HJ., Park H, Lee B. Myoelectric Signal Classification of Targeted Muscles Using Dictionary Learning. Sensors. 2019;19(2370):1-19. doi: https://doi.org/10.3390/s19102370.   Google Scholar

NXP Semiconductors, [Online]. Available: https://www. nxp.com/design/microcontrollers-developer-resources/lpc-microcontroller-utilities/lpcxpresso-board-for-lpc1347:OM13045. (accessed 07.06.2020).   Google Scholar

QT Company. Qt Framework - One framework to rule all! [Online]. Available: https://www.qt.io/product/framework. (accessed 07.06.2020).   Google Scholar

eIQ™ for Arm® CMSIS-NN, [Online]. Available: https://www.nxp.com/design/software/development-software/eiq-ml-development-environment/eiq-for-arm-cmsis-nn:eIQArmCMSISNN. (accessed 07.06.2020).   Google Scholar

Geron A. Uczenie maszynowe z użyciem Scikit-Learn i Tensorflow. Gliwice: Helion; 2018.   Google Scholar

Zieliński TP. Cyfrowe przetwarzanie sygnałów. Warszawa: WKŁ; 2007.   Google Scholar

Gawędzki W, Socha M, Sławik P. Dekompozycja sygnałów EEG w dziedzinie czasu przy zastosowaniu transformacji Hilberta-Huanga HHT. Przegląd Elektrotechniczny. 2015;91(5):33-36.   Google Scholar

Huang NE, Shen Z, Long SR, Wu MJ, Shih HH, Zheng Q, Yen NC, Tung CC, Liu HH. The Empirical mode decomposition and the Hilbert Spectrum for nonlinear and non-stationary time series analysis. Royal Society of London Proceedings Series A. 1998; 454(1971):903-998. doi: https://doi.org/10.1098/rspa.1998.0193.   Google Scholar

Feldman M. Hilbert Transform Application in Mechanical Vibration. Wiley; 2011.   Google Scholar

Huang NE, Shen SSP. Hilbert-Huang Transform and Its Applications. Singgapore: World Scientific; 2005.   Google Scholar

Kukker A, Sharma R, Malik H. Forearm movements classification of EMG signals using Hilbert Huang transform and artificial neural networks. Materiały konferencyjne 2016 IEEE 7th Power India International Conference (PIICON); 2016 Nov 25-27; Bikaner, India: IEEE; 2016. doi: https://doi.org/10.1109/POWERI.2016.8077417.   Google Scholar

Ruiz-Olaya AF, López-Delis A. Surface EMG Signal Analysis Based on the Empirical Mode Decomposition for Human-Robot Interaction. Materiały konferencyjne Symposium of Signals, Images and Artificial Vision – 2013: STSIVA – 2013; 2013 Sep 11-13; Bogota, Colombia; 2013. doi: 10.1109/STSIVA.2013.6644943.   Google Scholar

Tan A. Hilbert-Huang Transform. MATLAB Central File Exchange, [Online]. Available: https://www.mathworks.com/matlabcentral/fileexchange/19681-hilbert-huang-transform. (accessed: 31.12.2019).   Google Scholar

Bionic hand

Downloads

Published

2020-06-09

How to Cite

Pieprzycki, A., & Król, D. (2020). General concept of the EMG controlled bionic hand. Science, Technology and Innovation, 8(1), 26–34. https://doi.org/10.5604/01.3001.0014.1901

Issue

Section

Original articles