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[null,null,"Titolo",null,"Electromyography signal acquisition and processing for movement analysis / / edited by Francesco Di Nardo, Valentina Agostini, Silvia Conforto"]
[null,null,"Pubbl/distr/stampa",null,"Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023"]
[null,null,"ISBN",null,"3-0365-7205-8"]
[null,null,"Descrizione fisica",null,"1 online resource (202 pages)"]
[null,null,"Disciplina",null,"616.7407547"]
[null,null,"Soggetti",null,"Electromyography"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","This reprint focuses on recent advances in the processing of surface electromyography (EMG) signals acquired during human movement, as well as on innovative approaches to sense muscle activity. A wide range of methods is examined, including machine learning techniques to detect the onset/offset timing of muscle activity and approaches to evaluate muscle fatigue and analyze muscle synergies and co-contractions. Applications of these techniques are explored in different medical scenarios, e.g., for the benefit of patients suffering from low back pain, stroke survivors, and patients requiring polysomnography."]