Title :
Influences of dynamic factors on myoelectric parameters
Author :
Maclsaac, D.T. ; Parker, P.A. ; Scott, R.N. ; Englehart, K.B. ; Duffley, C.
Author_Institution :
Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada
Abstract :
We present a compilation of results from previous studies and preliminary results from a new study all conducted by the authors describing the influences of joint angle and muscle force on two myoelectric parameters-conduction velocity and the mean frequency (MF) of the power spectrum. Also described is an estimation technique that significantly diminishes the effects on MF estimation during dynamic muscle contractions
Keywords :
biomechanics; electromyography; frequency estimation; medical signal processing; statistical analysis; active motor units; conduction velocity; dynamic factors influence; dynamic muscle contractions; firing statistics; innervation processes; joint angle; mean frequency; motor unit action potential; muscle fatigue assessment; muscle force; myoelectric parameters; parameter estimation; potential shape generating function; power spectrum; Biomedical engineering; Biomedical measurements; Fatigue; Frequency estimation; Life estimation; Muscles; Parameter estimation; Power measurement; Power system modeling; Statistics;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE