Muscle fatigue detection in EMG using time-frequency methods, ICA and neural networks...independent component analysis

Bibliographic Details
Published in:Journal of Medical Systems Vol. 34; no. 4; pp. 777 - 786
Main Authors: Subasi A, Kiymik MK
Format: equations & formulas research tables/charts Journal Article
Published: Springer Nature Aug2010
Online Access:View this record in EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Muscle fatigue detection in EMG using time-frequency methods, ICA and neural networks...independent component analysis
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          Subasi A
          Kiymik MK
        affil: Department of Electrical and Electronics Engineering, Kahramanmaras Sutcu Imam University, 46500 Kahramanmaras, Turkey; asubasi@ksu.edu.tr
      sug:
        subj:
          Diagnosis, Computer Assisted
          Electromyography
          Muscle Fatigue Evaluation
          Neural Networks (Computer)
          Adult
          Descriptive Statistics
          Funding Source
          Human
          Sensitivity and Specificity
          Time
          Time Factors
          Validity
          Adult: 19-44 years
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
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    language: English
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