2026-06-07T08:03:14Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/377202026-02-03T11:06:43Zcom_10630_2254col_10630_37953

Muscle activity and architecture as a predictor of hand-grip strength. Trinidad-Fernández, Manuel González-Molina, Francisco Moya-Esteban, Alejandro Roldán-Jiménez, Cristina González-Sánchez, Manuel Cuesta-Vargas, Antonio Electromiografía Manos - Músculos Electromyography Ultrasound Strength Assessment Hand-grip https://publishingsupport.iopscience.iop.org/questions/what-is-iop-publishings-green-open-access-policy/ Background: Grip strength is a powerful predictor of disability as well as a good indicator of physical activity. Objectives: This study aimed to relate ultrasound (US) and electromyography (EMG) simultaneously to maximum hand-grip strength during an isometric contraction. Approach: This is a cross-sectional study. Data acquisition was done with a dynamometer, US and EMG. Outcome variables included maximum strength during the hand-grip gesture, maximum muscle activity and change in muscle thickness. A non-linear regression analysis was performed to analyse the relationship between all outcome variables. Main results: A total of 38 subjects (18 men and 20 women) participated in the study. The mean results for hand-grip strength were 25.50 (SD 6.55) kg of maximum strength, a change in muscle thickness of 1.83 (SD 0.75) mm and an EMG activity of 499.29 (SD 224.20) µV. Hand-grip strength had a high correlation with muscle thickness (R 2 = 0.61) and EMG activity (R 2 = 0.95). The correlation between maximum muscle activity and change in muscle thickness was R 2 = 0.83. Significance: The results of the present study demonstrate that this new method based on electromyographic activity and muscule architecture could be important in the development of the hand-grip test. 2025-02-06T08:10:41Z 2025-02-06T08:10:41Z 2020-08-11 journal article AM Trinidad-Fernández M, González-Molina F, Moya-Esteban A, Roldán-Jiménez C, González-Sánchez M, Cuesta-Vargas AI. Muscle activity and architecture as a predictor of hand-grip strength. Physiol Meas. 2020 Aug 11;41(7):075008. doi: 10.1088/1361-6579/aba007. PMID: 32585652. https://hdl.handle.net/10630/37720 10.1088/1361-6579/aba007 eng open access application/pdf IOP