Publication:
Independent component analysis: An application for muscular contraction classification

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0

Issued Date

2007

Resource Type

Conference Paper

File Type

application/pdf

DOI

10.1109/ICICS.2007.4449674

Other identifier(s)

2-s2.0-50449111058

Rights Holder(s)

Scopus

Bibliographic Citation

2007 6th International Conference on Information, Communications and Signal Processing, ICICS. (2007)

Suggested Citation

Daochai S., Sueaseenak D., Chanwimalueang T., Laoopugsin N., Pintavirooj C. Independent component analysis: An application for muscular contraction classification. 2007 6th International Conference on Information, Communications and Signal Processing, ICICS. (2007). doi:10.1109/ICICS.2007.4449674 Retrieved from: https://hdl.handle.net/20.500.14740/4263

Title

Independent component analysis: An application for muscular contraction classification

Author(s)

Daochai S.
 Sueaseenak D.
 Chanwimalueang T.
 Laoopugsin N.
 Pintavirooj C.

Abstract

We develop a multi-channel electromyogram acquisition system using PSOC microcontroller to aquire multichannel EMG signals. An array of 4 x 4 surface electrodes is used to record the EMG signal. B-spline interpolation technique has been utilized to map the EMG signal on the muscle surface. The topological mapping of the EMG is then analyzed to classify the pattern of muscle contraction. The proposed system was successfully demonstrated to record EMG data and its surface mapping. The muscular contraction classification of mapping using independent component analysis demonstrates promising results. ©2007 IEEE.

Subject(s)

Classification (of information)
 Computer networks
 Conformal mapping
 Muscle
 Shrinkage
 Signal processing
 Splines
 EMG
 EMG signals
 ICA
 PCA
 PSOC
 Independent component analysis

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URI

https://hdl.handle.net/20.500.14740/4263

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Scopus: Year 1983-2021

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