Automatic decomposition of pediatric high density surface EMG: A pilot study
This pilot study presents a novel application of high density surface electromyography (EMG) decomposition in pediatric patients, with a view toward promoting its potential clinical application for examination of pediatric neuromuscular diseases. Automatic progressive FastICA peel-off (APFP) framewo...
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Format: | Article |
Language: | English |
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Elsevier
2021-12-01
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Series: | Medicine in Novel Technology and Devices |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2590093521000382 |
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author | Maoqi Chen Ping Zhou |
author_facet | Maoqi Chen Ping Zhou |
author_sort | Maoqi Chen |
collection | DOAJ |
description | This pilot study presents a novel application of high density surface electromyography (EMG) decomposition in pediatric patients, with a view toward promoting its potential clinical application for examination of pediatric neuromuscular diseases. Automatic progressive FastICA peel-off (APFP) framework was used to decompose high density surface EMG signals recorded from the first dorsal interosseous and abductor pollicis brevis muscles of children with spinal muscular atrophy. The performance of the decomposition with reduced EMG recording channels was also investigated. In total 131 motor units were extracted from 15 trials of 64-channel (8 × 8) surface EMG. The decomposition yield reduced to 102 motor units when 36-channel (6 × 6) was used, among which 84 motor units were common ones with an average matching rate of (95.68 ± 5.26) %. The decomposition yield further reduced to 65 motor units when only 16-channel (4 × 4) was used, among which 57 were common ones with an average matching rate of (95.99 ± 4.56) %. These results indicate that using the APFP framework single motor unit activity can be reliably and automatically extracted from pediatric surface EMG signals recorded by an electrode array, which can facilitate potential clinical application of surface EMG as an alternative or supplement to invasive needle EMG for examination of neuromuscular diseases in children. |
first_indexed | 2024-12-20T16:12:26Z |
format | Article |
id | doaj.art-c2cffe74394447e38e3d02d725f66efb |
institution | Directory Open Access Journal |
issn | 2590-0935 |
language | English |
last_indexed | 2024-12-20T16:12:26Z |
publishDate | 2021-12-01 |
publisher | Elsevier |
record_format | Article |
series | Medicine in Novel Technology and Devices |
spelling | doaj.art-c2cffe74394447e38e3d02d725f66efb2022-12-21T19:33:55ZengElsevierMedicine in Novel Technology and Devices2590-09352021-12-0112100094Automatic decomposition of pediatric high density surface EMG: A pilot studyMaoqi Chen0Ping Zhou1University of Health and Rehabilitation Sciences, Qingdao, ChinaCorresponding author.; University of Health and Rehabilitation Sciences, Qingdao, ChinaThis pilot study presents a novel application of high density surface electromyography (EMG) decomposition in pediatric patients, with a view toward promoting its potential clinical application for examination of pediatric neuromuscular diseases. Automatic progressive FastICA peel-off (APFP) framework was used to decompose high density surface EMG signals recorded from the first dorsal interosseous and abductor pollicis brevis muscles of children with spinal muscular atrophy. The performance of the decomposition with reduced EMG recording channels was also investigated. In total 131 motor units were extracted from 15 trials of 64-channel (8 × 8) surface EMG. The decomposition yield reduced to 102 motor units when 36-channel (6 × 6) was used, among which 84 motor units were common ones with an average matching rate of (95.68 ± 5.26) %. The decomposition yield further reduced to 65 motor units when only 16-channel (4 × 4) was used, among which 57 were common ones with an average matching rate of (95.99 ± 4.56) %. These results indicate that using the APFP framework single motor unit activity can be reliably and automatically extracted from pediatric surface EMG signals recorded by an electrode array, which can facilitate potential clinical application of surface EMG as an alternative or supplement to invasive needle EMG for examination of neuromuscular diseases in children.http://www.sciencedirect.com/science/article/pii/S2590093521000382Electromyography (EMG)Pediatric EMGSurface EMG decompositionSpinal muscular atrophyElectrode arrayAutomatic progressive FastICA peel-off |
spellingShingle | Maoqi Chen Ping Zhou Automatic decomposition of pediatric high density surface EMG: A pilot study Medicine in Novel Technology and Devices Electromyography (EMG) Pediatric EMG Surface EMG decomposition Spinal muscular atrophy Electrode array Automatic progressive FastICA peel-off |
title | Automatic decomposition of pediatric high density surface EMG: A pilot study |
title_full | Automatic decomposition of pediatric high density surface EMG: A pilot study |
title_fullStr | Automatic decomposition of pediatric high density surface EMG: A pilot study |
title_full_unstemmed | Automatic decomposition of pediatric high density surface EMG: A pilot study |
title_short | Automatic decomposition of pediatric high density surface EMG: A pilot study |
title_sort | automatic decomposition of pediatric high density surface emg a pilot study |
topic | Electromyography (EMG) Pediatric EMG Surface EMG decomposition Spinal muscular atrophy Electrode array Automatic progressive FastICA peel-off |
url | http://www.sciencedirect.com/science/article/pii/S2590093521000382 |
work_keys_str_mv | AT maoqichen automaticdecompositionofpediatrichighdensitysurfaceemgapilotstudy AT pingzhou automaticdecompositionofpediatrichighdensitysurfaceemgapilotstudy |