Cloud-Based Knee Rehab Platform with IoT-Enabled Wearable Accelerometers

Abstract

With the vigorous development of medical technology, the average human lifespan is increasing year by year. However, the probability of chronic diseases and physical degeneration is also growing proportionally. Among many chronic diseases, degenerative osteoarthritis is one of the common diseases among the elderly population. Depending on its severity, the worst cases require knee arthroplasty for treatment. After replacement surgery, patients need continuous rehabilitation exercises, follow-up, and observation. The rehabilitation process heavily relies on the guidance of professional physicians and the accuracy of the patient's rehabilitation movements. In order to improve the shortage of medical resources and the demand for continuous rehabilitation tracking, we propose a novel mobile technology-assisted remote rehabilitation detection and medical platform. It utilizes a three-axis accelerometer to measure the angle of knee joint rehabilitation. Through the rehabilitation guidance platform, patients are provided with prompts such as angles, frequencies, and movement content, effectively assisting patients in medical rehabilitation. Additionally, rehabilitation data collected through IoT devices during the patient's rehabilitation process are stored in a cloud-based medical platform. This platform allows physicians to analyze the activity data of patients' home rehabilitation behaviors and provide remote prescriptions, medical reminders, and patient Q&A to promote telemedicine. This facilitates real-time access to information for each patient, thereby improving the effectiveness of rehabilitation and realizing complementary added value.