Using the frequency signature to detect muscular activity in weak and noisy myoelectric signals-Reference-Cited by-同舟云学术

Using the frequency signature to detect muscular activity in weak and noisy myoelectric signals

Published:2019-07 Issue: Volume:52 Page:69-76
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

D’Anna Carmen^ORCID,Varrecchia Tiwana,Schmid Maurizio^ORCID,Conforto Silvia

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference28 articles.

1. Muscle activation intervals and EMG envelope in clinical gait analysis;Benedetti;IEEE Eng. Med. Biol. Mag.,2001

2. Motor unit and muscle activity in voluntary motor control;Freund;Physiol. Rev.,1983

3. Electromyography in Ergonomics;Kumar,2017

4. EMG activity as a function of the performer’s focus of attention;Vance;J. Mot. Behav.,2004

5. A comparison of computer-based methods for the determination of onset of muscle contraction using electromyography;Hodges;Electroencephalogr. Clin. Neurophysiol. Mot. Control,1996

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