Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1524
Title: Hand Rehabilitation Using Robot-Assisted Physiotherapy
Authors: Madhushan, I.H.D.
Charnara, E.B.K.
De Zoysa, A.T.J.
Upeka, G.S.
Abhayasinghe, N.
Abeygunawardhana, P.
Keywords: Physiotherapy
Robotic Technology
Prediction
Rehabilitation
Issue Date: 10-Dec-2020
Publisher: 2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT
Series/Report no.: Vol.1;
Abstract: Robotics technology in the modern world is currently being implemented in medical fields to improve the quality of care and patient outcomes. In the proposed system, the robotics technology is used for physiotherapy. In the existing physiotherapy robot devices, there is no feature that provides exercise for every joint of the fingers and the wrist. Therefore, in this system, we used forward kinematics technologies to address each joint of the fingers and wrist thatcan access by the physiotherapist. We have designed the robot hand using the solid work and implemented 3D model then assembled system was tested again using different scenarios. Most existing robotic systems provide finger and wrist exercises separately, but our system can provide all exercises simultaneously. In here, we can predict the next exercises that are given for the patient and the progress of the rehabilitation of the patient. For the prediction, we developed the models using the FB prophet algorithm. When using this device, the patient's hand exercises are monitored in real-time and the physiotherapist can see the angles of the hand movement while controlling the robot device. To control this robot device, we used a mobile application.
URI: http://rda.sliit.lk/handle/123456789/1524
ISBN: 978-1-7281-8412-8
Appears in Collections:2nd International Conference on Advancements in Computing (ICAC) | 2020
Research Papers - Department of Electrical and Electronic Engineering

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