We are developing an innovative wearable EMG patch system for real-time muscle injury monitoring and early risk warning. Unlike traditional EMG devices focused on fatigue or performance analysis, our product is designed to detect pathological muscle signals—enabling injury prevention, rehabilitation tracking, and occupational health protection. By combining high-precision surface EMG sensors with intelligent signal processing algorithms, we turn subtle electrophysiological changes into actionable health insights. Our mission is to make professional-grade muscle health monitoring accessible, affordable, and wearable for everyone.
【Team Introduction】
The team consists of 6 undergraduate students from the School of AI and Advanced Computing, XJTLU.
【Application Scenarios】
Current muscle health monitoring methods are either subjective (self-report, palpation) or inaccessible (diagnostic ultrasound, MRI). There is no affordable, continuous, and objective solution for early detection of muscle damage—especially in sports training, rehabilitation, and physically demanding occupations.
Our system fills this gap with a surface EMG-based wearable patch that:
Continuously monitors muscle electrical activity
Identifies abnormal signal patterns associated with strain, inflammation, or overuse
Provides real-time alerts and long-term trend analysis
Enables remote rehabilitation assessment and personalized training load management
By shifting muscle injury management from reactive treatment to proactive prevention, our technology reduces injury rates, shortens recovery time, and lowers healthcare costs.
【Future Development】
As our muscle health monitoring system continues to evolve, we envision a future where muscle injury is no longer a “silent” health risk. With advances in flexible electronics, edge computing, and AI-driven signal interpretation, our patch will become thinner, smarter, and more clinically integrated. We aim to expand from sports medicine into broader application scenarios: postoperative rehabilitation, geriatric care, workplace safety, and even military training. Ultimately, we strive to build a musculoskeletal health data platform that empowers individuals, coaches, clinicians, and employers with actionable insights—transforming how muscle health is understood and protected.
VIT SMART
【Team Slogan】
We are developing an innovative wearable EMG patch system for real-time muscle injury monitoring and early risk warning. Unlike traditional EMG devices focused on fatigue or performance analysis, our product is designed to detect pathological muscle signals—enabling injury prevention, rehabilitation tracking, and occupational health protection. By combining high-precision surface EMG sensors with intelligent signal processing algorithms, we turn subtle electrophysiological changes into actionable health insights. Our mission is to make professional-grade muscle health monitoring accessible, affordable, and wearable for everyone.
【Team Introduction】
The team consists of 6 undergraduate students from the School of AI and Advanced Computing, XJTLU.
【Application Scenarios】
Current muscle health monitoring methods are either subjective (self-report, palpation) or inaccessible (diagnostic ultrasound, MRI). There is no affordable, continuous, and objective solution for early detection of muscle damage—especially in sports training, rehabilitation, and physically demanding occupations.
Our system fills this gap with a surface EMG-based wearable patch that:
By shifting muscle injury management from reactive treatment to proactive prevention, our technology reduces injury rates, shortens recovery time, and lowers healthcare costs.
【Future Development】
As our muscle health monitoring system continues to evolve, we envision a future where muscle injury is no longer a “silent” health risk. With advances in flexible electronics, edge computing, and AI-driven signal interpretation, our patch will become thinner, smarter, and more clinically integrated. We aim to expand from sports medicine into broader application scenarios: postoperative rehabilitation, geriatric care, workplace safety, and even military training. Ultimately, we strive to build a musculoskeletal health data platform that empowers individuals, coaches, clinicians, and employers with actionable insights—transforming how muscle health is understood and protected.