RT Journal Article
T1 Fatigue detection during sit-to-stand test based on surface electromyography and acceleration: A case study
A1 Roldán-Jiménez, Cristina
A1 Bennett, Paul
A1 Ortiz-García, Andrés
A1 Cuesta-Vargas, Antonio
K1 Fatiga (Fisiología)-Medición-Aparatos e instrumentos
AB The latest studies of the 30-second sit-to-stand (30-STS) test aim to describe it by employing kinematic variables, muscular activity, or fatigue through electromyography (EMG) instead of a number of repetitions. The aim of the present study was to develop a detection system based on acceleration measured using a smartphone to analyze fatigue during the 30-STS test with surface electromyography as the criterion. This case study was carried out on one woman, who performed eight trials. EMG data from the lower limbs and trunk muscles, as well as trunk acceleration were recorded. Both signals from eight trials were preprocessed, being averaged and temporarily aligned. The EMG signal was processed, calculating the spectral centroid (SC) by Discrete Fourier Transform, while the acceleration signal was processed by Discrete Wavelet Transform to calculate its energy percentage. Regarding EMG, fatigue in the vastus medialis of the quadriceps appeared as a decrease in SC, with a descending slope of 12% at second 12, indicating fatigue. However, acceleration analysis showed an increase in the percentage of relative energy, acting like fatigue firing at second 19. This assessed fatigue according to two variables of a different nature. The results will help clinicians to obtain information about fatigue using an accessible and inexpensive device, i.e., as a smartphone.
PB MDPI
YR 2019
FD 2019-09-27
LK https://hdl.handle.net/10630/34543
UL https://hdl.handle.net/10630/34543
LA eng
NO Roldán Jiménez, C.; Bennett, P.; Ortiz García, A.; Cuesta Vargas, A.I. Fatigue Detection during Sit-To-Stand Test Based on Surface Electromyography and Acceleration: A Case Study. Sensors 2019, 19, 4202. https://doi.org/10.3390/s19194202
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026