Jingpeng Wang

Papers

Total Citations

132

H-Index

About

Jingpeng Wang is a leading researcher in biomedical signal processing and human–machine interaction, with a core focus on electromyography (EMG)-based control systems. His seminal work, “Surface EMG Signal Amplification and Filtering” (2013), has garnered 126 citations and established foundational techniques for acquiring clean, reliable EMG signals used in rehabilitation and clinical diagnostics. Building on this, Wang pioneered pattern recognition approaches for real-time myoelectric control, most notably in “Pattern Recognition-Based Real Time Myoelectric System for Robotic Hand Control” (2019). This work integrates EMG data acquisition, muscle activity detection, and gesture discrimination to enable intuitive, responsive control of anthropomorphic robotic hands. His contributions bridge the gap between raw biosignal processing and practical prosthetic and assistive technologies, advancing the field of neural–machine interfaces. Wang’s research has direct implications for improving the quality of life for individuals with limb loss or motor impairments, and his citation record underscores the lasting impact of his methodological innovations. His work continues to inspire new generations of engineers and clinicians working at the intersection of signal processing, robotics, and rehabilitation.