Identification of a feature selection based pattern recognition scheme for finger movement recognition from multichannel EMG signals
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Title
Identification of a feature selection based pattern recognition scheme for finger movement recognition from multichannel EMG signals
Authors
Keywords
EMG, Multichannel, Particle swarm optimization, Ant colony optimization, Linear discriminant analysis, Support vector machine, Naïve Bayes
Journal
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE
Volume 41, Issue 2, Pages 549-559
Publisher
Springer Nature
Online
2018-05-09
DOI
10.1007/s13246-018-0646-7
References
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- (2016) Ganesh R. Naik et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
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- (2015) Federico Montagnani et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
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- (2014) Dario Farina et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
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- (2012) Xun Chen et al. Biomedical Signal Processing and Control
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- (2012) A. Phinyomark et al. Measurement Science Review
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- (2011) P. Geethanjali et al. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE
- Ant colony optimization-based feature selection method for surface electromyography signals classification
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- (2011) Bart Peerdeman et al. JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT
- Online Electromyographic Control of a Robotic Prosthesis
- (2008) P. Shenoy et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
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