Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hachemi Cherrih"'
Publikováno v:
2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH).
Recording and processing physiological signal that give intrinsic characteristics information is one of scientific community needs. Electromyography (EMG) and Electrical Impedance Myography (EIMG) are both non-invasive approaches to measure and evalu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::255afc90d7af8cc605d408b674323f91
https://doi.org/10.1109/ihsh51661.2021.9378716
https://doi.org/10.1109/ihsh51661.2021.9378716
Publikováno v:
2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH).
This paper presents the development of an intelligent system capable of managing the mobility of a myoelectric prosthesis for above elbow amputees. A choice of an acquisition protocol allowed us to produce two EMG signal databanks for two types of mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eef07b035550e7f5129efd6e35300bec
https://doi.org/10.1109/ihsh51661.2021.9378718
https://doi.org/10.1109/ihsh51661.2021.9378718
Publikováno v:
2020 Second International Conference on Embedded & Distributed Systems (EDiS).
The study aims to establish an FPGA design model for epileptic seizures with discrete wavelet decomposition (DWT) and principal component analysis (PCA) to determine the optimum parameters of support vector machine (SVMs) for the EEG classification d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9a4f892ec24da5ec5f5189fd50a9363
https://doi.org/10.1109/edis49545.2020.9296466
https://doi.org/10.1109/edis49545.2020.9296466
Autor:
Karim Meddah, Malika Kedir Talha, Mohammed A. Ait, Mohammed Nouah, Said Hadji, Hadjer Zairi, Besma Bessekri, Hachemi Cherrih
Publikováno v:
Biomedical Engineering: Applications, Basis and Communications. 32:2050005
Due to the rising number of cardiovascular diseases death, the monitoring of cardiac patients has become a primary objective in the world. In this context, a fully FPGA-based system, for ECG signal monitoring and cardiac arrhythmia detection, has bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd0d3602d31f0abca87c51f8ef4cec40
https://doi.org/10.4015/s1016237220500052
https://doi.org/10.4015/s1016237220500052