[HTML][HTML] Current state of digital signal processing in myoelectric interfaces and related applications

M Hakonen, H Piitulainen, A Visala - Biomedical Signal Processing and …, 2015 - Elsevier
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …

Recent trends and challenges of surface electromyography in prosthetic applications

D Yadav, K Veer - Biomedical Engineering Letters, 2023 - Springer
Surface electromyography (sEMG) meets extensive applications in the field of prosthesis in
the current period. The effectiveness of sEMG in prosthesis applications has been verified by …

Classification of EMG signals using artificial neural networks for virtual hand prosthesis control

FER Mattioli, EA Lamounier, A Cardoso… - … Conference of the …, 2011 - ieeexplore.ieee.org
Computer-based training systems have been widely studied in the field of human
rehabilitation. In health applications, Virtual Reality presents itself as an appropriate tool to …

Myoelectric control strategies for a human upper limb prosthesis

S Herle, S Man, G Lazea, P Raica - Journal of Control Engineering and …, 2012 - ceai.srait.ro
Myolectric control is nowadays the most used approach for electrically-powered upper limb
prostheses. The myoelectric controllers use electromyographic (EMG) signals as inputs …

[PDF][PDF] Classification of EMG Signals: Using DWT Features and ANN Classifier

KM Aljebory, MJ Yashar, TS Mohammed - IAENG International Journal of …, 2024 - iaeng.org
This study offers a concise overview of classifying hand movements based on their kinetic
and myoelectric characteristics. In this work, we propose utilizing Electromyography (EMG) …

Movement intention detection from SEMG signals using time-domain features and discriminant analysis classifiers

S Herle - 2018 IEEE International Conference on Automation …, 2018 - ieeexplore.ieee.org
Surface electromyographic (SEMG) signals are widely used as inputs for the controllers of
upper limb prostheses. The purpose of this paper is to assess several timedomain features …

Hierarchical myoelectric control of a human upper limb prosthesis

S Herle, S Man, G Lazea, C Marcu… - … on Robotics in Alpe …, 2010 - ieeexplore.ieee.org
Myolectric control is nowadays the most used approach for electrically-powered upper limb
prostheses. The myoelectric controllers use electromyographic (EMG) signals as inputs …

[PDF][PDF] Biosensors assisted automated rehabilitation systems: a systematic review

NU Ahamed, K Sundaraj, RB Ahmad… - … Journal of the …, 2012 - researchgate.net
This paper illustrated a systematic review of some newly developed automated rehabilitation
systems, several techniques and biosensors used for these mechanisms, and their function …

The system of sEMG recognition for prosthetic hand control

B You, H Wang, L Huang - International Forum on Strategic …, 2010 - ieeexplore.ieee.org
To the goal of multiple degree of freedom (M-DOF) prosthetic hand control by characterizing
events in surface electromyograms (sEMG), a system of sEMG acquisition, detection and …

[图书][B] Processing surface electromyographical signals for myoelectric control

S Herle, S Man - 2009 - core.ac.uk
Myoelectric control is the most widely used approach for the control of upper limb prostheses
(Ping et al., 2006);(Light et al., 2002);(Chan & Englehart, 2005). When used as control input …