A diagnostic model of nerve root compression localization in lower lumbar disc herniation based on random forest algorithm and surface electromyography

This study aimed to investigate the muscle activation of patients with lumbar disc herniation (LDH) during walking by surface electromyography (SEMG) and establish a diagnostic model based on SEMG parameters using random forest (RF) algorithm for localization diagnosis of compressed nerve root in LD...

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Veröffentlicht in:	Frontiers in human neuroscience Jg. 17; S. 1176001
Hauptverfasser:	Wang, Hujun, Wang, Yingpeng, Li, Yingqi, Wang, Congxiao, Qie, Shuyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Research Foundation 04.07.2023 Frontiers Media S.A
Schlagworte:	Algorithms Cerebral palsy Compression Contraindications Data processing Diagnosis diagnosis model Disease Electromyography Gait Intervertebral discs Localization lumbar disc herniation Machine learning Magnetic resonance imaging Muscle contraction nerve root compression Neuroscience Patients random forest Rehabilitation Software surface electromyography Surgery Beijing China United States > US China random forest diagnosis model surface electromyography nerve root compression lumbar disc herniation
ISSN:	1662-5161, 1662-5161
Online-Zugang:	Volltext
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