Surface EMG signal segmentation based on HMM modelling: Application on Parkinson’s disease

Autor: Abdenour Hacine Gharbi, Hichem Bengacemi, Philippe Ravier, Karim Abed-Meraim, Olivier Buttelli

Publikováno v: ENP Engineering Science Journal. 1:63-74

The study of burst electromyographic (EMG) activity periods during muscles contraction and relaxation is an important and challenging problem. It can find several applications like movement patterns analysis, human locomotion analysis and neuromuscul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::815770bc079f7611ad0b6e47106e9426
https://doi.org/10.53907/enpesj.v1i1.27

Surface EMG Signal Classification for Parkinson’s Disease using WCC Descriptor and ANN Classifier

Autor: Philippe Ravier, Abdenour Hacine-Gharbi, Hichem Bengacemi, Olivier Buttelli, Karim Abed-Meraim

Publikováno v: ICPRAM

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a6527665c9f7cfbffb94fdbb83d0125a
https://doi.org/10.5220/0010254402870294

Adaptive Linear Energy Detector based on onset and offset electromyography activity detection

Autor: Abdelaziz Ouldali, Karim Abed-Meraim, Hichem Bengacemi, Ammar Mesloub

Publikováno v: 2017 6th International Conference on Systems and Control (ICSC)
2017 6th International Conference on Systems and Control (ICSC), May 2017, Batna, Algeria. pp.409-413

This paper describes a new approach for detecting onset/offset electromyography activity. The proposed approach is based on energy analysis which has been widely used in Voice Activity Detection (VAD). A performance analysis has been carried out in o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ae05ecc8b78fef203ca3a69da7a324e
https://hal.inria.fr/hal-02144902