Classification of surface electromyographic signal using fuzzy logic for prosthesis control application

Siti A. Ahmad, Asnor J. Ishak, Sawal Hamid Md Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper describes the classification stage of an electromyographic (EMG) control system for prosthetic hand application. Moving ApEn was used as main method to extract features from the two channels of surface EMG signal at the forearm of the upper limb. A fuzzy logic system is used to classify the extracted information in discriminating the final grip posture. The results demonstrate the ability of the system to classify the information related to different grip postures.

Original languageEnglish
Title of host publicationProceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010
Pages471-474
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010 - Kuala Lumpur
Duration: 30 Nov 20102 Dec 2010

Other

Other2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010
CityKuala Lumpur
Period30/11/102/12/10

Fingerprint

Prosthetics
Fuzzy logic
Control systems
Prostheses and Implants

Keywords

  • fuzzy logic
  • moving ApEn
  • prosthesis control
  • surface EMG
  • upper limb

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Ahmad, S. A., Ishak, A. J., & Md Ali, S. H. (2010). Classification of surface electromyographic signal using fuzzy logic for prosthesis control application. In Proceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010 (pp. 471-474). [5742283] https://doi.org/10.1109/IECBES.2010.5742283

Classification of surface electromyographic signal using fuzzy logic for prosthesis control application. / Ahmad, Siti A.; Ishak, Asnor J.; Md Ali, Sawal Hamid.

Proceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010. 2010. p. 471-474 5742283.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ahmad, SA, Ishak, AJ & Md Ali, SH 2010, Classification of surface electromyographic signal using fuzzy logic for prosthesis control application. in Proceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010., 5742283, pp. 471-474, 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010, Kuala Lumpur, 30/11/10. https://doi.org/10.1109/IECBES.2010.5742283
Ahmad SA, Ishak AJ, Md Ali SH. Classification of surface electromyographic signal using fuzzy logic for prosthesis control application. In Proceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010. 2010. p. 471-474. 5742283 https://doi.org/10.1109/IECBES.2010.5742283
Ahmad, Siti A. ; Ishak, Asnor J. ; Md Ali, Sawal Hamid. / Classification of surface electromyographic signal using fuzzy logic for prosthesis control application. Proceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010. 2010. pp. 471-474
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