Kaohsiung Medical University / Prof. Cheng-Yu Long

 Pain Points Solved 

• Conventional muscle mass detection techniques rely heavily on manual operation and image interpretation, resulting in low evaluation efficiency and outcomes that are susceptible to subjective bias.
• The system utilizes high-precision AI algorithms to automatically analyze muscle strength, elasticity, and power, significantly improving the accuracy and reliability of muscle mass assessment.
• Real-time analysis reports are generated immediately after detection, reducing clinical evaluation time and assisting physicians in making faster and more scientifically based decisions.
• By leveraging sound feature recognition and a trained prediction model, the system minimizes instrument errors and operational variations, ensuring consistent and objective evaluation results.

 Technology Introduction 

A muscle mass detection system is used to solve the problem of inefficiency and questionable accuracy of conventional muscle mass detection techniques. Using high-precision AI algorithms, the device can provide real-time analysis reports on muscle conditions, including muscle strength, elasticity, and power, assisting physicians in making more scientifically based clinical decisions. Training a prediction model with a large number of sound features, the prediction model after training evaluates a mass status of a muscle part based on the corresponding sound features of the muscle part. The device can be applied in the following areas:
1.    Medical institutions with geriatric medicine departments.
2.    Daycare centers and long-term care facilities.
3.    Local government health centers and community activity centers.

 Application Examples 

• Medical institutions: Applied in hospitals and clinics with geriatric medicine departments to support sarcopenia screening, muscle condition assessment, and rehabilitation outcome tracking.
  
• Daycare centers and long-term care facilities: Used for daily muscle health monitoring of older adults and for evaluating the effectiveness of exercise training and care interventions.
• Local government health centers and community activity centers: Provide the public with fast and convenient muscle condition screening services, promoting community health management and early preventive intervention.

 Related Links 

None

 Patent Name and Number 

TW I893711

 Industry-Academia / Tech Transfer Partner 

None

 Honors and Awards  

None

 Technical Contact  

Mr. Hung, Assistant Manager

Kaohsiung Medical University 
Tel: +886 7-3121101 ext. 2360
Email: R121084@kmu.edu.tw