Open AccessStudy of the Vibromyographic Signal as a Means for Quantifying Muscular Effort
Author(s) -
Joseph J. Sarver,
R. Seliktar
Publication year - 2000
Publication title -
hong kong physiotherapy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.343
H-Index - 15
eISSN - 1876-441X
pISSN - 1013-7025
DOI - 10.1016/s1013-7025(09)70015-6
Subject(s) - isometric exercise , medicine , physical medicine and rehabilitation , accelerometer , electromyography , work (physics) , elbow , acceleration , signal (programming language) , physical therapy , computer science , anatomy , mechanical engineering , physics , classical mechanics , engineering , programming language , operating system
The present work describes an effort to quantify the level of muscular activation by monitoring and processing muscular vibrations under isometric conditions. The history and nature of vibromyography (VMG) are examined, and a brief review of current VMG literature is presented. In addition, preliminary results from an ongoing study are presented. Although several subjects were included in this feasibility study, the results from only one subject are presented here. The subject was asked to reach 25%, 50%, 75%, and 100% of his maximum isometric elbow extension. A uniaxial accelerometer was placed over his right triceps brachii and monitored the transverse component of the underlying muscle's acceleration. Electromyographic (EMG) data were also recorded from the long and lateral heads of the same muscle. Results were then processed using traditional algorithms and the ability of VMG and EMG to discriminate among the four different effort levels were compared. The data indicated that VMG was able to discriminate between the 75% and 100% effort levels better than EMG. Currently, this protocol is being applied to additional subjects using more advanced signal processing as well as discriminant analyses to improve effort level discrimination as well as fatigue detection