Surface electromyography and electroencephalography processing in dysarthric patients for verbal commands or speaking intention characterization

• Published in: Measurement : journal of the International Measurement Confederation Vol. 175; p. 109147
• Main Authors: Galego, Juliet Sánchez, Casas, Omar Valle, Rossato, Daniele, Simões, Alexandre, Balbinot, Alexandre
• Format: Journal Article
• Language: English
• Published: London Elsevier Ltd 01.04.2021; Elsevier Science Ltd
• Subjects: Accidents; Assistive Technologies; Audio data; Bayesian Networks; Cerebrovascular disease; Cognitive tasks; Discriminant analysis; Dysarthria; Electroencephalography; Electromyography; Feature extraction; Kurtosis; Muscles; Physical therapy; Skewness; Sound filters; Standard deviation; Stroke; Support Vector Machine; Support vector machines; Time synchronization; Bayesian Networks; Electromyography; Electroencephalography; Support Vector Machine; Assistive Technologies

•Studied and evaluated signals from dysarthric and non-dysarthric subjects.•SVM method for sEMG and NB method for EEG classification were synchronized in time.•Mental tasks identification in healthy and dysarthric subjects was achieved.•Factorial experiment with healthy and dysarthric subjects was c...