Literature Survey on Physiotherapy Assessment Using ESP32 and Memes Technology Based IMU Sensor as a Wearable Sleeve

Abstract

Physiotherapy entails diagnosis, treatment and execution of exercises under the guidance of qualified professionals. It is a type of healthcare that helps people regain, maintain and improve their strength, function, mobility, and overall wellbeing. The uses of physiotherapy is not only limited to increasing flexibility and range of motion, alleviate pain, heal from a severe surgery but also extend to recovery from strokes, sports injuries and manage age-related issues. A ‘physiotherapist’ is the professional who manages the patient’s recovery. At present the ratio of availability of physiotherapists to patients is one in seven, showing the dire need for physiotherapists. Our proposed project helps patient gain home-based access to physiotherapy sessions which is a simple and cost-effective method of tracking their progress.  Range of motion (RoM) which is the movement in the three degrees of freedom given as yaw, pitch and roll is analyzed using the Inertial measurement Unit (IMU) sensor. The sensor consists of MEMS technology-based accelerometer, gyroscope and magnetometer integrated on a single chip to prove accurate motion detection. An ESP32  executes edge computing algorithms to perform sampling and computation giving comprehensive RoM results. Databases are used to store the healthy individual and patient data for performing comparative studies. The Kalmogorov-Smironov (K-S) test is used to graphically represent the progress of a patient.