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

doi:10.1109/CoDIT49905.2020.9263950

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

Universidad de Cuenca

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1123-1126
Number of pages	4
ISBN (Electronic)	9781728159539
DOIs	https://doi.org/10.1109/CoDIT49905.2020.9263950
State	Published - 29 Jun 2020
Event	7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 - Prague, Czech Republic Duration: 29 Jun 2020 → 2 Jul 2020

Publication series

Name	7th International Conference on Control, Decision and Information Technologies, CoDIT 2020

Conference

Conference	7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
Country/Territory	Czech Republic
City	Prague
Period	29/06/20 → 2/07/20

Access to Document

10.1109/CoDIT49905.2020.9263950

Cite this

Minchala, L. I., Mora-Tola, E., Wong, S., Astudillo-Salinas, F., Vazquez-Rodas, A., Cardenas, V., & Ayavaca, M. (2020). Mean Frequency and Noise from Patients with Pathologies in Lower Limbs. In 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 (pp. 1123-1126). Article 9263950 (7th International Conference on Control, Decision and Information Technologies, CoDIT 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoDIT49905.2020.9263950

Minchala, Luis I. ; Mora-Tola, Esteban ; Wong, Sara et al. / Mean Frequency and Noise from Patients with Pathologies in Lower Limbs. 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 1123-1126 (7th International Conference on Control, Decision and Information Technologies, CoDIT 2020).

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title = "Mean Frequency and Noise from Patients with Pathologies in Lower Limbs",

abstract = "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.",

author = "Minchala, \{Luis I.\} and Esteban Mora-Tola and Sara Wong and Fabian Astudillo-Salinas and Andres Vazquez-Rodas and Veronica Cardenas and Maria Ayavaca",

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Minchala, LI, Mora-Tola, E, Wong, S, Astudillo-Salinas, F , Vazquez-Rodas, A, Cardenas, V & Ayavaca, M 2020, Mean Frequency and Noise from Patients with Pathologies in Lower Limbs. in 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020., 9263950, 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020, Institute of Electrical and Electronics Engineers Inc., pp. 1123-1126, 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020, Prague, Czech Republic, 29/06/20. https://doi.org/10.1109/CoDIT49905.2020.9263950

Mean Frequency and Noise from Patients with Pathologies in Lower Limbs. / Minchala, Luis I.; Mora-Tola, Esteban; Wong, Sara et al.
7th International Conference on Control, Decision and Information Technologies, CoDIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1123-1126 9263950 (7th International Conference on Control, Decision and Information Technologies, CoDIT 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Mean Frequency and Noise from Patients with Pathologies in Lower Limbs

AU - Minchala, Luis I.

AU - Mora-Tola, Esteban

AU - Wong, Sara

AU - Astudillo-Salinas, Fabian

AU - Vazquez-Rodas, Andres

AU - Cardenas, Veronica

AU - Ayavaca, Maria

PY - 2020/6/29

Y1 - 2020/6/29

N2 - 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.

AB - 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.

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DO - 10.1109/CoDIT49905.2020.9263950

M3 - Contribución a la conferencia

AN - SCOPUS:85098290529

T3 - 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020

SP - 1123

EP - 1126

BT - 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020

Y2 - 29 June 2020 through 2 July 2020

ER -

Minchala LI, Mora-Tola E, Wong S, Astudillo-Salinas F , Vazquez-Rodas A, Cardenas V et al. Mean Frequency and Noise from Patients with Pathologies in Lower Limbs. In 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1123-1126. 9263950. (7th International Conference on Control, Decision and Information Technologies, CoDIT 2020). doi: 10.1109/CoDIT49905.2020.9263950

Mean Frequency and Noise from Patients with Pathologies in Lower Limbs

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Robotic exoskeleton for functional assistance in the march of patients with incomplete spinal injuries: design and initial application

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Mean Frequency and Noise from Patients with Pathologies in Lower Limbs

Abstract

Publication series

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Robotic exoskeleton for functional assistance in the march of patients with incomplete spinal injuries: design and initial application

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