Current developments in surface electromyography.

Area of Science:

• Biomedical Engineering
• Neuroscience
• Rehabilitation Science

Background:

• Surface electromyography (surface EMG) is crucial for detecting muscle electrical activity.
• Despite advancements, clinical acceptance of surface EMG lags due to a gap in translational knowledge.
• Bridging this gap requires integrating updated surface EMG applications and technologies into clinical research.

Purpose of the Study:

• To provide a perspective on recent developments in surface EMG applications.
• To explore advancements in surface EMG signal processing methods.
• To address the translational gap between surface EMG research and clinical practice.

Main Methods:

• A scoping review was conducted using the Joanna Briggs Institute (JBI) methodology.
• Literature searches were performed on PubMed and Web of Science.
• 133 titles/abstracts were screened, and 91 full texts were assessed for inclusion.

Main Results:

• Surface EMG has demonstrated innovative technological progress and significant research potential.
• Applications span neurophysiology, sports, physical therapy, rehabilitation, and movement analysis.
• Novel signal processing methods include time, frequency, time-frequency, statistical, and nonlinear approaches.

Conclusions:

• Translating surface EMG innovations into clinical practice can enhance muscle activation measurement.
• Further development of educational and research interfaces is needed for contemporary techniques and devices.
• Surface EMG holds a growing and valuable role in clinical practices, requiring continued research and integration.