Upper Limb Movement Classification Via Electromyographic Signals and an Enhanced Probabilistic Network.

Burns, Alexis; Adeli, Hojjat; Buford, John A

Burns, Alexis; Adeli, Hojjat; Buford, John A.

Affiliation

Burns A; Department of Biomedical Engineering, The Ohio State University, Columbus, OH, 43210, USA.
Adeli H; Departments of Biomedical Engineering, Biomedical Informatics, Neurology, and Neuroscience, The Ohio State University, Columbus, OH, 43210, USA. adeli.1@osu.edu.
Buford JA; Physical Therapy Division, School of Health and Rehabilitation Sciences, The Ohio State University, 453 W 10th Ave, Rm. 516E, Columbus, OH, 43210, USA.

J Med Syst ; 44(10): 176, 2020 Aug 23.

Article in En | MEDLINE | ID: mdl-32829419

Subject(s)

Movement; Signal Processing, Computer-Assisted; Algorithms; Electromyography; Humans; Upper Extremity; Wavelet Analysis

Key words

EMG; Electromyographic Signals; Enhanced Probablistic Neural Network; Machine learning; Motor rehabilitation; Semg; Surface EMG; Upper Limb Movement Classification; Wavelet transform

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Signal Processing, Computer-Assisted / Movement Limits: Humans Language: En Journal: J Med Syst Year: 2020 Document type: Article Affiliation country: United States Country of publication: United States

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