• DocumentCode
    758542
  • Title

    Partition Between Volitional and Induced Forces in Electrically Augmented Dynamic Isometric Muscle Contractions

  • Author

    Langzam, E. ; Nemirovsky, Y. ; Isakov, E. ; Mizrahi, J.

  • Author_Institution
    Dept. of Biomed. Eng., Technion-Israel Inst. of Technol., Haifa
  • Volume
    14
  • Issue
    3
  • fYear
    2006
  • Firstpage
    322
  • Lastpage
    335
  • Abstract
    Augmentation of force in partially deficient muscles can be achieved by combining electrical stimulation (ES) with their volitional activation (hybrid activation). However, while the overall torque results from the combination of the volitional and the electrically-induced torque components, the exact share between these components is not known. In a previous work, we described a method to resolve the share between the torque components under isometric static contractions. In this work, we extend our analysis to the case of isometric dynamic contractions. Five healthy subjects were instructed to contract their Tibialis Anterior (TA) muscles according to a typical gait-like dynamic torque pattern, that was visually displayed to them, while monitoring their actual ankle torque and TA electromyography (EMG). These experiments were done with and without augmented activation by means of ES. A computational algorithm was developed to dissociate the volitional from the overall torque, based on EMG signal processing and on precalibration of the dynamic system of the volitional torque versus EMG. The results indicated the quantitative relations between decrease in the volitional torque and the required increase in ES enhancement. The developed method also demonstrated what ES intensity profile is necessary to produce a desired overall torque output. This provides the means for designing an adaptive rehabilitation device for the hybrid activation of deficient muscles
  • Keywords
    biomedical equipment; calibration; electromyography; gait analysis; medical signal processing; neuromuscular stimulation; patient rehabilitation; torque; EMG signal processing; adaptive rehabilitation device; electrical stimulation; electrically augmented dynamic isometric muscle contractions; electromyography; gait-like dynamic torque pattern; hybrid activation; induced forces; partially deficient muscles; precalibration; tibialis anterior muscles; volitional forces; Biomedical signal processing; Contracts; Electrical stimulation; Electromyography; Humans; Monitoring; Muscles; Recruitment; Signal processing algorithms; Torque; Adaptive rehabilitation system; dynamic contractions; electrical stimulation; hybrid excitation; muscle force augmentation; tibialis anterior; Adult; Electric Stimulation; Female; Humans; Isometric Contraction; Male; Motor Skills; Muscle, Skeletal; Postural Balance; Torque; Volition;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2006.881591
  • Filename
    1703564