Wearable Device for Residential Elbow Joint Rehabilitation with Voice Prompts and Tracking Feedback APP

Abstract

In this paper, we propose a wearable device for residential elbow joint rehabilitation with voice prompts and a tracking feedback app (WDRTFAPP). We have developed the app as well as the Arduino embedded system, which we have integrated together. In this research, the patients were simulated by our team not real patients. By using this wearable device, the elbow joint rehabilitation could be executed at home for the simulated patients with mild and moderately mild elbow joint symptoms. During the rehabilitation, data captured by the wearable device were sent to the tracking feedback APP, using automatic real time via Bluetooth transmission. After TFAPP received the rehabilitation data from the wearable device, the rehabilitation data was sent to the cloud database by Wi-Fi or 5G communication automatically in real time. When the performance of the elbow joint rehabilitation was incorrect the patients received a voice prompt by TFAPP. The simulated patients could query their rehabilitation data using different search strategies, namely by date or TFAPP, at any time or location. In the experimental results, it showed that the correct detecting rate of elbow joint rehabilitation could be up to 90% by WDRTFAPP. The medical staff also could track the rehabilitation status of each simulated patient by the tracking feedback APP (TFAPP) with remote accessing, such as the Internet. Moreover, the rehabilitation appointments could be set up by the clinical staff with TFAPP, using the Internet. Furthermore, the medical staff could track the rehabilitation status of each simulated patient and give feedback at any time and location. The costs of the rehabilitation could be reduced (in terms of time and money spent by the simulated patients) and the manpower required by the hospital.

Keywords

• APP
• Arduino embedded system
• cloud wearable device
• elbow joint rehabilitation
• voice prompts
• tracking feedback