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
Link To Document :
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