NDLI: Acquisition and processing real-time EMG signals for prosthesis active hand movements

Content Provider	IEEE Xplore Digital Library
Author	Raurale, S.A.
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. & Telecommun., Gov. Coll. of Eng., Amravati, India (Raurale, S.A.)
Abstract	In the field of Robotics, prosthesis hand amputees are highly benefited for various active hand movements based on wrist-hand mobility. The development of an advanced human-machine interface has been an interesting research topic in the field of rehabilitation, in which biomedical signals such as electromyography (EMG) signals, plays a significant role. Sensing of EMG signals concerns with the signal capturing, conditioning, feature extraction and classification of different active hand movements for controlled human-assisting robots or prosthetic applications. This paper concerns with the acquisition and analysis of EMG signals for multiple active hand movements based on wrist-hand mobility for control of prosthesis robotic hand. To recognize the effectiveness of hand prosthesis, Anterior and Posterior forearm muscles are being considered for better exploitation of EMG signals. The Feature is extracted using statistical analysis and pattern classification is done by linear discriminant analysis (LDA) with estimated classification rate of about (80-86)%.
Starting Page	1
Ending Page	6
File Size	1221479
Page Count	6
File Format	PDF
e-ISBN	9781479949823
DOI	10.1109/ICGCCEE.2014.6922225
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Wrist Prosthesis hand Linear discriminant analysis (LDA) Thumb Muscles Feature extraction Electromyography EMG signals Prosthetics Active hand movements
Content Type	Text
Resource Type	Article

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