Time-variant spectral analysis of surface EMG – Applications in sports practice
نویسندگان
چکیده
The aim of this paper is the presentation of time-variant spectrograms of surface EMG signals to estimate fatigue processes in muscle and to consider recruitments of motor units. For this we used techniques on the base of ARMA and AR models. We illustrate our applications by three examples: influence of training to maximal and explosive isometric contraction, fatigue processes in an all-out cycling exercise and intramuscular coordination during a fast movement.
منابع مشابه
Mobile EMG Analysis with Applications in Sport and Medicine
Surface Electromyography (EMG) is an important tool for medical diagnosis, rehabilitation and sports biomechanics. While it is usually used to perform recording of data under laboratory conditions, wearable sensors have enabled also mobile recording of dynamic movements. This has led to feedback applications which require real-time processing of the EMG data on mobile devices. This paper presen...
متن کاملEMG-based Fatigue Assessment During Endurance Testing With Different VT Protocols
BACKGROUND: Muscle fatigue can be defined as the failure of a muscle to maintain a reasonably expected force output. The multivariate approach to fatigue assessment is used because the multiple (EMG) feature provides more information than anyone. OBJECTIVE: This study presents a method of assessing muscle fatigue during endurance testing at 50% maximal voluntary contraction (MVC) using electro...
متن کاملEMG-based wrist gesture recognition using a convolutional neural network
Background: Deep learning has revolutionized artificial intelligence and has transformed many fields. It allows processing high-dimensional data (such as signals or images) without the need for feature engineering. The aim of this research is to develop a deep learning-based system to decode motor intent from electromyogram (EMG) signals. Methods: A myoelectric system based on convolutional ne...
متن کاملAn Android Application for Estimating Muscle Onset Latency using Surface EMG Signal
Background: Electromyography (EMG) signal processing and Muscle Onset Latency (MOL) are widely used in rehabilitation sciences and nerve conduction studies. The majority of existing software packages provided for estimating MOL via analyzing EMG signal are computerized, desktop based and not portable; therefore, experiments and signal analyzes using them should be completed locally. Moreover, a...
متن کاملRectification of EMG in low force contractions improves detection of motor unit coherence in the beta-frequency band.
Rectification of surface EMG before spectral analysis is a well-established preprocessing method used in the detection of motor unit firing patterns. A number of recent studies have called into question the need for rectification before spectral analysis, pointing out that there is no supporting experimental evidence to justify rectification. We present an analysis of 190 records from 13 subjec...
متن کامل