Innovative approach in signal processing of electromyography signals Aleksandra Kawala-Janik, Michał Podpora, Mariusz Konieczny Journal of Combat Sports and Martial Arts 2014; 5(2):101-112 ICID: 1141984
Article type: Original article
IC™ Value: 3.00
Abstract provided by Publisher
Introduction. In this paper an innovative approach in analysis of Electromyography (EMG) signals was presented together with its potential implementation for the purpose of HMI systems, where embedded platforms are applied. The method does not involve any traditional, statistical signal processing methods. Materials and methods. The proposed method differs from the traditional signal processing methods due to the no need of using equipment with high-computing power, which results with its wide potential implementation. Signal processing of various bio-signals is currently a very dynamically developing scientific area. The innovation of the proposed solution relies on its simplicity, efficiency and waht’s more – it does not implement any statistical signal processing. Results. The proposed method has prospective implementation for the control purpose in order to improve quality of life for handicapped users. Conducted research was intended for potential application on an embedded system platform, which has caused some significant limits in choosing an appropriate signal processing method. Traditional, sophisticated, statistical signal processing methods were not used for the purpose of this work. Discussion. This paper is a pilot study for the prospective EMG-based control of an artificial hand. The conducted analysis was done in an off-line mode, however further plans on on-line signal processing plans were made. All calculations were done in MATLAB.
Conclusions. The paper presents an innovation as no other similar methods were found in literature. The paper also shows its efficiency.