DocumentCode
778313
Title
Estimation of M-wave scale factor during sustained contractions at high stimulation rate
Author
Mesin, Luca ; Farina, Dario
Author_Institution
Dip. di Elettronica, Politecnico di Torino, Italy
Volume
52
Issue
5
fYear
2005
fDate
5/1/2005 12:00:00 AM
Firstpage
869
Lastpage
877
Abstract
In this paper, we propose a time-domain index to assess M-wave widening during high-frequency stimulation, as an objective parameter for quantifying muscle fatigue. At high stimulation frequencies, signal truncation, due to the delivery of the electrical stimulus before the M-wave generated by the previous stimulus extinguishes, biases the spectral frequency variables usually computed to estimate M-wave widening. Thus, we propose an estimator of the scale factor between two truncated M-waves. The estimator is derived from the Scale Transforms of the two signals, with an efficient implementation that avoids limits of resolution. The method was tested on both simulated and experimental signals. The simulations showed that the proposed technique is significantly less affected by signal truncation than previous approaches. The experimental recordings were collected from 11 subjects at stimulation frequencies of 20, 40, and 60 Hz. The scale factor estimation assessed M-wave widening in the three conditions, differentiating between the different rates of change of signal widening. The method proved to be significantly superior to M-wave spectral analysis. The technique can be applied to investigate myoelectric manifestations of muscle fatigue at stimulation rates that could not be analyzed in the past and, thus, opens new perspectives in the evaluation of electrical stimulation for training and rehabilitation protocols.
Keywords
bioelectric phenomena; biomechanics; electromyography; fatigue; neuromuscular stimulation; patient rehabilitation; 20 Hz; 40 Hz; 60 Hz; M-wave scale factor; M-wave widening; electrical stimulus; high-frequency stimulation; muscle fatigue; myoelectricity; patient rehabilitation; patient training; scale transforms; signal truncation; sustained contractions; time-domain index; Computational modeling; Electrical stimulation; Fatigue; Frequency estimation; Muscles; Signal generators; Signal resolution; Spectral analysis; Testing; Time domain analysis; Electrically elicited contractions; electromyography; fatigue; scale factor; Adult; Algorithms; Diagnosis, Computer-Assisted; Electric Stimulation; Electromyography; Humans; Isometric Contraction; Muscle Fatigue; Muscle, Skeletal; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2005.845227
Filename
1420708
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