• DocumentCode
    19358
  • Title

    Alterations in the Peak Amplitude Distribution of the Surface Electromyogram Poststroke

  • Author

    Xiaoyan Li ; Suresh, A. ; Ping Zhou ; Rymer, William Z.

  • Author_Institution
    Sensory Motor Performance Program, Rehabilitation Inst. of Chicago, Chicago, IL, USA
  • Volume
    60
  • Issue
    3
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    845
  • Lastpage
    852
  • Abstract
    We introduce a new method to examine the spinal motoneuron involvement after stroke using a surface electromyography (EMG) recording system. Fourteen chronic stroke survivors with mild to severe muscle weakness participated in the study. Surface EMG signals were collected from the first dorsal interosseous muscle while subjects performed isometric index finger abduction with paretic or contralateral hand at different matched force levels. Compared with the contralateral muscles, different patterns of peak amplitude distribution were observed at the paretic muscles, which could be induced by motor unit pathological alterations following a stroke. Compared with the conventional electrophysiological methods, the peak amplitude distribution analysis proposed in this study provides a convenient approach to help identify specific mechanisms of muscle weakness and other symptoms after stroke.
  • Keywords
    brain; electromyography; medical disorders; medical signal processing; neurophysiology; chronic stroke survivors; contralateral hand; conventional electrophysiological methods; dorsal interosseous muscle; isometric index finger abduction; matched force levels; mild muscle weakness; motor unit pathological alterations; paretic muscle weakness; peak amplitude distribution; peak amplitude distribution alterations; severe muscle weakness; spinal motoneuron involvement; stroke symptoms; surface EMG signal collection; surface electromyogram post-stroke; surface electromyography recording system; Electromyography; Fingers; Force; Gaussian distribution; Indexes; Muscles; Optical fiber sensors; Amplitude distribution; peak detection; stroke; surface electromyography (EMG); Adult; Aged; Analysis of Variance; Electrodes; Electromyography; Female; Fingers; Humans; Male; Middle Aged; Muscle, Skeletal; Signal Processing, Computer-Assisted; Stroke;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2012.2205249
  • Filename
    6220858