Mean Frequency and Noise from Patients with Pathologies in Lower Limbs

Luis I. Minchala, Esteban Mora-Tola, Sara Wong, Fabian Astudillo-Salinas, Andres Vazquez-Rodas, Veronica Cardenas, Maria Ayavaca

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1 Cita (Scopus)

Resumen

Raw electromyography (EMG) signals are useful for several purposes in the analysis of muscles in both clinical and engineering applications. For instance, muscles fatigue is, typically, assessed by the mean frequency (MNF) of the EMG signal. Previous research works have shown that there is a positive correlation between the signal to noise ratio (SNR) of the EMG signal and its MNF value. The aim of this work is to determine and compare MNF in subjects with impairments in the lower limbs. Measurements of the MNF and the SNR were performed in nine muscles of six pathologic subjects, which were compared with a similar database of subjects without apparent pathologies. The MNF value was estimated using the power spectral density. The SNR for pathologic patients database was higher (17.28±1.67 dB) with respect to the database of subjects without apparent pathologies (12.86±1.71 dB). Subjects with pathologies in the lower limbs presented a decrease in the average value of the MNF.

Idioma originalInglés
Título de la publicación alojada7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1123-1126
Número de páginas4
ISBN (versión digital)9781728159539
DOI
EstadoPublicada - 29 jun. 2020
Evento7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 - Prague, República Checa
Duración: 29 jun. 20202 jul. 2020

Serie de la publicación

Nombre7th International Conference on Control, Decision and Information Technologies, CoDIT 2020

Conferencia

Conferencia7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
País/TerritorioRepública Checa
CiudadPrague
Período29/06/202/07/20

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