Development of Ai based post stroke rehabilitation

Lokmanul Hakim, Amirul Aiman (2022) Development of Ai based post stroke rehabilitation. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) Development of Ai based post stroke rehabilitation.pdf - Submitted Version Download (578kB)
	Text (Full text) Development of Ai based post stroke rehabilitation.pdf - Submitted Version Restricted to Registered users only Download (1MB)

Abstract

Stroke is the most common cause of long-term impairment in developed countries. In addition, it becomes a major health issue with a high rate of death and morbidity. Rehabilition is crucial to regain premorbid fucntionality of the patient. Thus, this project entitled “Development of AI Based Post Stroke Rehabilitation” that aims to develop an AI program to detect a correct posture when doing a rehabilitation exercise. This project utilizes PyCharm, MediaPipe pipeline and OpenCV that essential which can create an Artificial Intelligence and machine learning. The MediaPipe library and OpenCV is imported PyCharm software to calculate the keypoint of human joint to detect the correct posture by using an image as reference. After the posture from image is detected, the angle of the posture will be use for detecting the patient posture from computer camera. As the result, this project has been convert into a file program that can be run from a compter. When the program is run, it will turn on the camera and detect the human body keypoint through the camera and identify the correct posture of user in rehabilitation exercise. If the posture of patient is detected, it will show the percentage of correct posture from 0 to 100 percent. When the value is 100, the posture is in a correct angle of starting posture. The value will change according to the angle of the posture. When the value is 0 percent, that mean the angle has met the correct final angle posture. After the final value that is 0 percent is met, a counter value will start to count up and a timer will started. The timer has been set for 1 minutes. After the timer had finished, it will screenshot the screen and saved in a file. In a nut shell, the development of this project could help the patient to do a rehabilitation correctly at home.

Actions (login required)

View Item