การพัฒนาวิดีโอเกมไบโอฟีดแบคสำหรับผู้ป่วยโรคข้อเข่าเสื่อมด้วยวิธีการควบคุมแบบเป็นสัดส่วนกับการหดตัวของกล้ามเนื้อ

Abstract

Knee Osteoarthritis (KOA) is a joint disease caused by the deterioration of knee cartilage, often due to aging, overweight, and overuse injury, resulting in chronic pain. Muscle strengthening exercises are a common treatment for mild to moderate symptoms, but the repetitive nature can lead to boredom and decreased motivation. Biofeedback training with video games combines computer technology with physical and psychological training, allowing patients to monitor their progress through a character controlled by data from sensors attached to their bodies. This study developed a biofeedback training video game using a proportional myoelectric control method, enabling patients to control a character with muscle contractions. The intensity of these contractions is calculated from electromyography (EMG) signals collected from muscles associated with knee movement, with the character's movements proportional to the contraction level. The biofeedback system software includes four parts: commands to control and process signals, an MVIC window for measuring maximum muscle voltage, a GUI window for muscle control practice, and a game window. The system's accuracy was tested using the Correlation Coefficient (r), with an acceptable value of over 80%. Experimental results showed an average r-value of 0.845 across 20%, 40%, and 60% contraction levels, indicating the system's accuracy and effectiveness. This system can be used clinically with patients and adjusted as needed."