A5107969365- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Gaze Tracking and Assistive Technology
- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- Spectroscopy Techniques in Biomedical and Chemical Research
Malaviya National Institute of Technology Jaipur
2022-2024
AbstractThe last few decades have emerged as a remarkable era for exploring and employing electromyography (EMG) signals their attributes in various applications such clinical assessment rehabilitation engineering. An EMG signal-based system encapsulates different domains of signal acquisition processing, statistical analysis, control systems single framework. This survey attempts to highlight distinguish the time- frequency-based processing according signals. When are used assessment,...
Electromyography (EMG) signals and their characteristics have been extensively studied used in the last decade for rehabilitation engineering robotics applications. In these applications, an EMG signal-based control system performs different steps, from signal acquisition processing to classification real-time control. Among these, feature extraction is one of important steps. It calculated segments pre-processed signals. Hence, accuracy time are critical performance indicators classifiers....
Abstract Electromyography (EMG) signal-based Pattern Recognition (PR) system uses EMG signals and their attributes to control external devices. Due the complex nature of signals, A PR many computational steps before final output. This paper presents an alternative novel approach for signal treatment based on Motor Unit Action Potential (MUAP) identification feature extraction classification stage. Initially, a calculated noise margin segregates active removes overlapping low-amplitude muscle...