NONLINEAR SYSTEMS IN ROBOTICS

Development of a System for Monitoring Medical Indicators Using Electromyography and Electrocardiography to Calculate Exoskeleton Efficiency

V. V. Koshman, V. A. Skvortsova, A. D. Kirilin

University Innopolis, ul. Universitetskaya 1, Innopolis, 420500 Russia

Abstract: The use of exoskeletons in manufacturing, construction, and healthcare shows potential for enhancing performance and reducing injury risk. This study evaluates exoskeleton efficacy during heavy lifting using an advanced system integrating electromyography (EMG) and electrocardiography (ECG). Real-time monitoring with baseline correction and filtering ensured precise data. EMG analyses using Root Mean Square (RMS) and Integral methods revealed reduced muscle activation and cumulative exertion during exoskeleton-assisted tasks. ECG data indicated lower cardiovascular strain. Testing with a hip exoskeleton confirmed its ability to decrease physical load, emphasizing the value of integrated physiological monitoring for comprehensive exoskeleton performance assessment and future research directions.

Keywords: electromyography, electrocardiography, signal preprocessing, exoskeletons

MSC: 92C55

Received: 29.10.2024
Accepted: 11.12.2024

Language: English

DOI: 10.20537/nd241214