Title :
Optimal FES parameters based on mechanomyographic efficiency index
Author :
Krueger-Beck, Eddy ; Scheeren, Eduardo M. ; Nogueira-Neto, Guilherme N. ; Button, Vera Lúcia S N ; Nohama, Percy
Author_Institution :
Fed. Technol. Univ. of Parana, Curitiba, Brazil
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
Functional electrical stimulation (FES) can artificially elicit movements in spinal cord injured (SCI) subjects. FES control strategies involve monitoring muscle features and setting FES profiles so as to postpone the installation of muscle fatigue or nerve cell adaptation. Mechanomyography (MMG) sensors register the lateral oscillations of contracting muscles. This paper presents an MMG efficiency index (EI) that may indicate most efficient FES electrical parameters to control functional movements. Ten healthy and three SCI volunteers participated in the study. Four FES profiles with two FES sessions were applied with in-between 15min rest interval. MMG RMS and median frequency were inserted into the EI equation. EI increased along the test. FES profile set to 1kHz pulse frequency, 200μs active pulse duration and burst frequency of 50Hz was the most efficient.
Keywords :
bioelectric phenomena; biomechanics; neuromuscular stimulation; FES; functional electrical stimulation; mechanomyographic efficiency index; muscle fatigue; nerve cell adaptation; spinal cord injured; Electrical stimulation; Fatigue; Indexes; Knee; Muscles; Sensors; Torque; Adult; Electric Stimulation Therapy; Electromyography; Female; Humans; Knee Joint; Male; Movement; Muscle Contraction; Muscle, Skeletal; Spinal Cord Injuries; Therapy, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626735