The use of EMG to assess the effectiveness and safety of an industrial exoskeleton in the workplace
Year: 2025
Type: article
Abstract: The purpose of research the work is to evaluate the effectiveness and safety of the use of an industrial exoskeleton using EMG in the conditions of modeling labor activity. Methods. Guided by GOST R 60.5.3.3-2023 and the national standard of the Russian Federation GOST R 60.5.2.1- 2023, a non-invasive technique for the general assessment of the human cardiorespiratory system, electromyography as a key way to assess the bioelectric activity of muscles, as well as conducting interviews with research participants were used. Results. The data obtained as a result of the study using the selected methods showed significant differences between the registered values of the indicators of volunteers who worked without PE and with its use. The following results were obtained: during load transfer, the activity of the elbow flexor of the wrist when using IE decreased by an average of 41%, biceps – by 21%; during load retention, the activity of the elbow flexor of the wrist when using IE decreased by an average of 42%, biceps – by 52%. Endurance experiments showed a 52-42% decrease in muscle activity when using IE, which positively affects the duration of comfortable work, which increased by an average of 2.5 times. Also, the general physiological condition of the volunteers (pulse, pressure, saturation) when using IE was closer to the standards than without According to the responses of the volunteers, everyone noticed a slight difference in favor of using IE. IE's help is especially noticeable after a number of completed approaches. Conclusion. A study conducted within the framework of the work to determine the effectiveness and safety of the use of PE in the course of work, including to offset the harm from stereotypical work movements, showed a decrease in the activity of the measured muscles when using PE, which also indicates a decrease in human fatigue, which increases the efficiency of his work.
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4407882804