Simulation of surface electromyogram (EMG) has provided support for the development and testing of algorithms (e.g., for the extraction of amplitude or spectral properties of the EMG or for the estimation of the muscle fiber conduction velocity) and for the interpretation of experimental results. This is the second part of a pair of papers: the first explains the methods for the development of structure based models of surface EMG; this one provides a summary of interesting applications for the interpretation of signals and testing of algorithms. Simulations from some models already introduced in the literature are compared. Moreover, estimation of indexes from an innovative layered volume conductor including a subcutaneous tissue with variable thickness in space is studied.

Volume conductor models in surface electromyography: Applications to signal interpretation and algorithm test / Mesin, Luca. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - STAMPA. - 43:7(2013), pp. 953-961. [10.1016/j.compbiomed.2013.03.007]

Volume conductor models in surface electromyography: Applications to signal interpretation and algorithm test

MESIN, LUCA
2013

Abstract

Simulation of surface electromyogram (EMG) has provided support for the development and testing of algorithms (e.g., for the extraction of amplitude or spectral properties of the EMG or for the estimation of the muscle fiber conduction velocity) and for the interpretation of experimental results. This is the second part of a pair of papers: the first explains the methods for the development of structure based models of surface EMG; this one provides a summary of interesting applications for the interpretation of signals and testing of algorithms. Simulations from some models already introduced in the literature are compared. Moreover, estimation of indexes from an innovative layered volume conductor including a subcutaneous tissue with variable thickness in space is studied.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2507863
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