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Examination of Hand Muscle Activation and Motor Unit Indices Derived from Surface EMG in Chronic Stroke
- Source :
- IEEE Transactions on Biomedical Engineering. 61:2891-2898
- Publication Year :
- 2014
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2014.
-
Abstract
- In this study, we used muscle and motor unit indices, derived from convenient surface electromyography (EMG) measurements, for examination of paretic muscle changes post stroke. For 12 stroke subjects, compound muscle action potential and voluntary surface EMG signals were recorded from paretic and contralateral first dorsal interosseous, abductor pollicis brevis, and abductor digiti minimi muscles. Muscle activation index (AI), motor unit number index (MUNIX), and motor unit size index (MUSIX) were then calculated for each muscle. There was a significant AI reduction for all the three muscles in paretic side compared with contralateral side, providing an evidence of muscle activation deficiency after stroke. The hand MUNIX (defined by summing the values from the three muscles) was significantly reduced in paretic side compared with contralateral side, whereas the hand MUSIX was not significantly different. Furthermore, diverse changes in MUNIX and MUSIX were observed from the three muscles. A major feature of the present examinations is the primary reliance on surface EMG, which offers practical benefits because it is noninvasive, induces minimal discomfort and can be performed quickly.
- Subjects :
- Male
medicine.medical_specialty
Neuromuscular Junction
Biomedical Engineering
Electromyography
Sensitivity and Specificity
Synaptic Transmission
Article
Neuromuscular junction
Physical medicine and rehabilitation
medicine
Humans
Muscle, Skeletal
Stroke
Chronic stroke
Motor Neurons
medicine.diagnostic_test
business.industry
Reproducibility of Results
Muscle activation
Middle Aged
Hand
medicine.disease
Compound muscle action potential
body regions
Motor unit
medicine.anatomical_structure
Chronic Disease
Female
medicine.symptom
business
Algorithms
Muscle Contraction
Muscle contraction
Subjects
Details
- ISSN :
- 15582531 and 00189294
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Biomedical Engineering
- Accession number :
- edsair.doi.dedup.....c5080b98e87142be37d9d6074999c5ed