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metadata.conference.dc.title: Development of Smart Glove Rehabilitation Device (Sgrd) for Parkinson's Disease
metadata.conference.dc.contributor.*: Mohd Aliff
Mohamed Alif Dinie
Ismail Yusof
Nor Samsiah
metadata.conference.dc.subject: Rehabilitation hand device
Parkinson’s Disease
Soft Actuator
Arduino Microcontroller
Accelerometer sensor 23-Jan-2020
metadata.conference.dc.description.abstract: Over the past decade, significant papers have shown that rehabilitation exercise is efficient in enhancing Parkinson's disease efficiency. However, the previous devices in Parkinson Disease Rehabilitation are not very efficient as they are far too complicated, heavy in size, and difficult to conduct. This paper will focus on developing a smart rehabilitation hand device prototype using an Arduino microcontroller, to control the soft actuator by using pneumatic system and IOT system for the individual with Parkinson's disease. The actuators are designed mechanically to match and support the human finger range as it features a lightweight structure, simplistic design, cost-effective and safer to use compared to other conventional actuators. A soft actuator, accelerometer sensor, pneumatic air valve and Arduino Mega were designed as a control hardware system to operate the smart rehabilitation glove. Therefore, this study will focus on obtaining data results based on the length of the single actuator, the bending angle of the actuator based on the applied pressure, the hand position of the accelerometer sensor based on the x, y, z-axis and the suitable pressure for the SGRD rehabilitation system for future research purposes. This prototype will assist the subject's hand movement by improving the subject quality in helping the patient with Parkinson's disorder recover. .
metadata.conference.dc.identifier.uri: International Journal of Innovative Technology and Exploring Engineering (IJITEE)
metadata.conference.dc.conference.year: 2019
Appears in Collections:Conference Papers

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