Validation of the Filling Factor Index to Study the Filling Process of the sEMG Signal in the Quadriceps

Date
2023-08-15
Authors
Rodriguez-Falces, J
Malanda, A
Mariscal, C
Niazi, IK
Navallas, J
Supervisor
Item type
Journal Article
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier BV
Abstract

Introduction: The EMG filling factor is an index to quantify the degree to which an EMG signal has been filled. Here, we tested the validity of such index to analyse the EMG filling process as contraction force was slowly increased.

Methods: Surface EMG signals were recorded from the quadriceps muscles of healthy subjects as force was gradually increased from 0 to 40% MVC. The sEMG filling process was analyzed by measuring the EMG filling factor (calculated from the non-central moments of the rectified sEMG).

Results: (1) As force was gradually increased, one or two prominent abrupt jumps in sEMG amplitude appeared between 0 and 10% of MVC force in all the vastus lateralis and medialis. (2) The jumps in amplitude were originated when a few large-amplitude MUPs, clearly standing out from previous activity, appeared in the sEMG signal. (3) Every time an abrupt jump in sEMG amplitude occurred, a new stage of sEMG filling was initiated. (4) The sEMG was almost completely filled at 2–12% MVC. (5) The filling factor decreased significantly upon the occurrence of an sEMG amplitude jump, and increased as additional MUPs were added to the sEMG signal. (6) The filling factor curve was highly repeatable across repetitions.

Conclusions: It has been validated that the filling factor is a useful, reliable tool to analyse the sEMG filling process. As force was gradually increased in the vastus muscles, the sEMG filling process occurred in one or two stages due to the presence of abrupt jumps in sEMG amplitude.

Description
Keywords
EMG filling , Filling factor , Form factor , Interference pattern , Probability Density Function (PDF) , Surface EMG , 42 Health Sciences , 4207 Sports Science and Exercise , 1106 Human Movement and Sports Sciences , Sport Sciences , 3202 Clinical sciences , 4207 Sports science and exercise
Source
Journal of Electromyography and Kinesiology, ISSN: 1050-6411 (Print); 1873-5711 (Online), Elsevier BV, 72, 102811-. doi: 10.1016/j.jelekin.2023.102811
Rights statement
© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by nc-nd/4.0/).