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Chuang Lin, Xinyue Niu, Jun Zhang and Xianping Fu
Hand motion intentions can be detected by analyzing the surface electromyographic (sEMG) signals obtained from the remaining forearm muscles of trans-radial amputees. This technology sheds new light on myoelectric prosthesis control; however, fewer signa...
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Domenico Buongiorno, Giacomo Donato Cascarano, Cristian Camardella, Irio De Feudis, Antonio Frisoli and Vitoantonio Bevilacqua
The growing interest in wearable robots opens the challenge for developing intuitive and natural control strategies. Among several human?machine interaction approaches, myoelectric control consists of decoding the motor intention from muscular activity (...
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Ramón de la Rosa, Albano Carrera, Alonso Alonso, Benito Peñasco-Martín, Angel Gil-Agudo and Evaristo J. Abril
This paper analyses the role of myoelectric games in the rehabilitation of paraplegic patients. The University of Valladolid neuromuscular training system, UVa-NTS platform, which allows the myoelectric command of computer applications, has been introduc...
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Angkoon Phinyomark and Erik Scheme
The increasing amount of data in electromyographic (EMG) signal research has greatly increased the importance of developing advanced data analysis and machine learning techniques which are better able to handle “big data”. Consequently, more ...
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S. Cecilia Tapia-Siles,Oscar Urquidi-Gandarillas,Markus Pakleppa
Prosthetics is an important field in engineering due to the large number of amputees worldwide and the associated problems such as limited functionality of the state of the art. An important functionality of the human hand is its capability of adjusting ...
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