Shoulder and Wrist Rehabilitation: A Biofeedback Simulation using IoT

Abstract

With developments in surgical approaches and greater knowledge of shoulder and wrist breakdown healing, it was necessary to establish reasonable progress after the operation. During recovery, there has to be an ongoing interaction with the medical staff. Pain and edema must be treated immediately, to ensure the complete recovery of patients' motion range. The therapeutic framework allows for innovative stress treatment by increasing motion range and progression between idle, dynamic assistance, and strong motions. Since time limitations truly aren't applied for growth, it is vital neither to exert enormous strain upon that shoulder and wrist for a period of twelve weeks to enable for optimal tendon-to-bone rehabilitation. When workouts progress, muscular stimulation was triggered, governed by adequate workouts which leads to rapid and consistent recovery. This system employs a micro controller as well as EMG and accelerometer sensors to detect muscle movement as well as hand position and angle while performing movements during the rehabilitation and recovery phase. This work is capable of providing muscle rehabilitation, particularly when the micro controller is used. As a result, the proposed system able to predict how quickly the patient will recover from the shoulder and wrist problems, and the current muscle activity details are presented using the Cayenne app powered by the IOT (ESP8266-12E) NODE MCU and Cayenne server.