DocumentCode :
2221246
Title :
Characterization of motor unit behavior in patients with amyotrophic lateral sclerosis
Author :
Kasi, Patrick K. ; Krivickas, Lisa S. ; Meister, Melvin ; Chew, Effie ; Bonato, Paolo ; Schmid, Maurizio ; Kamen, Gary ; Liu, Pu ; Clancy, Edward A.
Author_Institution :
Med. Sch., Dept. of PM&R, Harvard Univ., Boston, MA, USA
fYear :
2009
fDate :
April 29 2009-May 2 2009
Firstpage :
10
Lastpage :
13
Abstract :
In this study, we investigated the behavior of active motor units identified via analysis of electromyographic (EMG) signals recorded from the first dorsal interosseous (FDI) muscle using a quadrifilar needle electrode. Data was collected from control subjects and patients with both lower (LMN) and upper (UMN) motor neuron dominant forms of amyotrophic lateral sclerosis (ALS). EMG recordings were gathered during isometric contractions reaching 20 or 50 % of the force output produced during a maximum voluntary contraction (MVC). Recordings were analyzed using available EMG decomposition software (EMGLAB). Results showed differences in mean motor unit firing rates between patients with ALS and control subjects. Differences were also observed between patients with LMN- and UMN-dominant forms of ALS. Motor unit substitution was observed in patients despite the contractions lasting just a few seconds. Finally, we observed that motor unit action potential (MUAP) waveforms recorded from patients were more complex than those recorded from control subjects as often observed in motor neuron diseases.
Keywords :
biomechanics; biomedical electrodes; diseases; electromyography; neuromuscular stimulation; EMG decomposition software; amyotrophic lateral sclerosis patient; dorsal interosseous muscle; electromyographic signal recording; isometric muscle; maximum voluntary contraction force; motor unit action potential waveform; motor unit behavior characterization; motor unit firing rate; neuron motor disease; quadrifilar needle electrode; upper motor neuron; Character generation; Diseases; Electromyography; Muscles; Neural engineering; Neurons; Recruitment; Signal analysis; Testing; USA Councils; Amyotrophic lateral sclerosis; motor unit decomposition; motor unit firing rate; motor units;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
978-1-4244-2073-5
Type :
conf
DOI :
10.1109/NER.2009.5109222
Filename :
5109222
Link To Document :
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