IoT based Elbow Joint Rehabilitation Monitoring System

This research suggests a novel way to track the elbow joint's rate of recovery during therapy. Due to its intricacy, the elbow can sustain a wide range of injuries and illnesses, therefore careful monitoring is essential for a speedy recovery. This research creates a wearable device that tracks elbow joint movement using sensors. The collected information is then processed by Arduino Uno and sent over an ESP01 Wi-Fi module to a local LCD display and a Thingspeak channel. Physiotherapists can now monitor patients remotely, leading to improved rehabilitation results. The average accuracy obtained by using the proposed method is 91.3%. By means of comprehensive investigation, sensor selection, prototype creation, and data analysis, The objective of the research is to provide physicians and patients with an invaluable instrument for enhancing elbow joint recuperation.