Post stroke palm rehabilitation for health monitoring system VIA IoT

Singara Valen, Shalini (2022) Post stroke palm rehabilitation for health monitoring system VIA IoT. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Stroke is one of the five most common illnesses in Malaysia and causes a significant amount of sadness and death in Malaysia and around the world. Although major strokes can be fatal, stroke survivors show weakness, stiffness, and decreased proprioception, depending on which part of the brain is damaged by the stroke. The patient is demotivated to participate in occupational therapy rehabilitation because of the high expense of the sessions as well as the restriction in mobility. Thus, to provide for a more thorough diagnosis of impairment and individualization of rehabilitation therapy, wearable technology offers the ability to objectively assess and monitor patients both within and outside of clinical contexts. The development of an IoT-based post-stroke palm rehabilitation system enables stroke patients to get daily treatment without regular supervision by a physical therapist. The goal of monitoring is for them to enhance the rehabilitation process. This system was developed using flexion sensors to measure hand flexion or flexure and pressure sensors to detect the physical pressure of the patient. In addition, the most suitable microcontroller has been identified for this system, Arduino Mega, and the ESP8266 Wi-Fi Module for Wi-Fi compatibility, which will be helpful to transfer the data to the IoT cloud to view the progress made by each patient. Furthermore, the data from the IoT application can be exported to an excel file to send to the physiotherapist. The purpose of exporting the data to an excel file is because sometimes the physiotherapist will not be available while the patients are doing the exercises, and they will be missed to monitor their patient's progress. So, by sending the progress excel file to the physiotherapist, they can view and record the patient’s progress by looking at the excel data file. The implementation of this system in the real application will be useful for stroke patients by saving their money, time, and energy with this effective system.

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