A Prototype of the Humanoid Model for Rehabilitation of Patients with Severe Motor Disorders
Vanitha A
Vanitha A, Department of Biomedical Engineering, St.Peter’s Institute of Higher Education and Research, Chennai, India.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10502-10504 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4294118419/2019©BEIESP | DOI: 10.35940/ijrte.D4294.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The purpose of this project is to develop a prototype device for the Rehabilitation of Patients with Severe Motor Disorder (paralytic patients). There has been a constant need for the development of non-invasive electrical stimulation of the spinal cord using brain impulse. As of now, physiotherapy is the only method of treatment where the patients can regain their movement to some extent along with some intake of medicines or drugs to strengthen their nerves. In some cases brain implants and surgery are also used. Physiotherapy requires a lot of effort from the patients and it is very painful. In this project, I have developed a non-invasive electrical stimulator prototype that could make the limbs to move by collecting the impulses from the brain. This could be done in two ways. One is by Human Thinking and the other is with the help of Bluetooth. In the first method, EEG sensor has been used to detect the impulse of brain. This sensor collects the impulse from the brain and converts into electrical stimulation making the corresponding limb motor move as per the instruction given by the brain. In the second method, a third person can also operate this device using Bluetooth of his/her mobile to make the limb motor move. Thereby, limb movements of the humanoid model can be activated.
Keywords: Rehabilitation, Motor Disorder, Non-Invasive, EEG Sensors.
Scope of the Article: Network Performance; Protocols; Sensors.