Function Electrical Stimulation Effect on Muscle Fatigue Based on Fatigue Characteristic Curves of Dumbbell Weightlifting Training

Author:

Sun Shihao1234,Xu Guizhi1234,Li Mengfan235,Zhang Mingyu235,Zhang Yuxin235,Liu Wentao1234,Wang Alan678

Affiliation:

1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Electrical Engineering, Hebei University of Technology, 300132 Tianjin, China.

2. Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, 300132 Tianjin, China.

3. Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, 300132 Tianjin, China.

4. School of Electrical Engineering, Hebei University of Technology, 300132 Tianjin, China.

5. School of Health Sciences and Biomedical Engineering, Hebei University of Technology, 300132 Tianjin, China.

6. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.

7. Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

8. Centre for Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Abstract

The parameter setting of functional electrical stimulation (FES) is important for active recovery training since it affects muscle health. Among the FES parameters, current amplitude is the most influential factor. To explore the FES effect on the maximum stimulation time, this study establishes a curve between FES current amplitude and the maximum stimulation time based on muscle fatigue. We collect 10 subjects’ surface electromyography under dumbbell weightlifting training and analyze the muscle fatigue state by calculating the root mean square (RMS) of power. By analyzing signal RMS, the fatigue characteristic curves under different fatigue levels are obtained. According to the muscle response under FES, the relationship curve between the current amplitude and the maximum stimulation time is established and FES parameters’ effect on the maximum stimulation time is obtained. The linear curve provides a reference for FES parameter setting, which can help to set stimulation time safely, thus preventing the muscles from entering an excessive fatigue state and becoming more active to muscle recovery training.

Funder

National Natural Fund Project

the Natural Science Foundation of Hebei Province

Interdisciplinary Postgraduate Training Program of Hebei University of Technology

the Technology Nova of Hebei University of Technology

the National Natural Science 12 Cognitive Neurodynamics Foundation of China

the Key Research and Development Foundation of Hebei

Publisher

American Association for the Advancement of Science (AAAS)

Reference33 articles.

1. Muscle fatigue classification and the effect of electrical stimulation on muscle fatigue recovery;Wang X;J Phys Conf Ser,2021

2. Heavier Load Alters Upper Limb Muscle Synergy with Correlated fNIRS Responses in BA4 and BA6

3. “All talk no torque”—A novel set of metrics to quantify muscle fatigue through isometric dynamometry in functional electrical stimulation (FES) muscle studies;Taylor M J;IOP Conf Ser Mater Sci Eng.,2017

4. Electrical stimulation to promote muscle and motor unit force and endurance after spinal cord injury;Gordon T;J Physiol,2023

5. Miller WM. Fatiguing effects of electrical stimulation superimposed onto voluntary contraction. Mississippi (USA): The University of Mississippi; 2022.

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