Electromyography signal acquisition and processing for movement analysis / / edited by Francesco Di Nardo, Valentina Agostini, Silvia Conforto

• Pubblicazione: Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023
• Descrizione fisica: 1 online resource (202 pages)
• Disciplina: 616.7407547
• Soggetto topico: Electromyography
• Persona (resp. second.): Di NardoFrancesco; AgostiniValentina; ConfortoSilvia
• 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.
• Titolo autorizzato: Electromyography Signal Acquisition and Processing for Movement Analysis
• ISBN: 3-0365-7205-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910719772603321
• Lo trovi qui: Univ. Federico II