Development of A Mobility Assistive Limb Integrated with Health Monitoring

Abstract

This paper proposes a mobility limb that is integrated with health status monitoring, which has been designed to assist people with mobility impairments or those undergoing rehabilitation, including post-surgical recovery, partial paralysis, and lower-limb loss. The Arduino Uno microcontroller is used to take real-time sensor data and process it. A gyroscope and a MEMS sensor are used to measure the joint angles of the healthy limb that are used to regulate the servo motors on the affected limb. Physiological data, including heart rate and body temperature, is shown on the LCD and transmits the data to a backend system upon request, which then uses a machine learning-based method to evaluate the patient condition with high accuracy. The model shows the potential of combining motion assistance and physiological monitoring in a cost-effective rehabilitation-oriented model.