Early Detection of Parkinson’s Disease – Simulation and Assessment

Authors

  • Mousa Murayshid AL-Mutari Department of Electrical and Computer Engineering (ECE), King Abdulaziz University, Jeddah, Saudi Arabia
  • K. Prahlad Rao Department of Electrical and Computer Engineering (ECE), King Abdulaziz University, Jeddah, Saudi Arabia
  • Ibrahim M. Mehedi Department of Electrical and Computer Engineering (ECE), Center of Excellence in Intelligent Engineering Systems (CEIES), King Abdulaziz University, Jeddah, Saudi Arabia

Keywords:

Parkinson’s disease; Alzheimer’s disease; tremors; muscular rigidity; complications

Abstract

It is important to note that all tremors are not considered as symptoms of Parkinson’s disease, nor is a tremor proof Parkinsonism. Recent developments in the diagnosis of PD, necessitate a thorough investigation of the disease etiology and pathophysiology. Moreover, the clinicians are aware that the present diagnostic tools and guidance need to be updated considering the latest knowledge of PD to optimize its early detection. Tremors are visible indicators of the disease prognosis. A systematic study by monitoring tremor could reveal the early symptoms of PD. Therefore, the primary objective of this paper is to research for a simple and quick review of the procedure to detect the disease in its early stages. Further, a tremor simulator for assessment of hand tremors is designed and developed in this investigation.

Cite as:

Mousa Murayshid AL-Mutari, K. Prahlad Rao, Ibrahim M Mehedi (2020). Early Detection of Parkinson's Disease – Simulation and Assessment. Journal of Technological Science & Engineering (JTSE), 01(01), 1-6. http://doi.org/10.5281/zenodo.3926771 

Published

2020-06-26 — Updated on 2020-06-26

How to Cite

AL-Mutari, M. M., Rao, K. P., & Mehedi, I. M. (2020). Early Detection of Parkinson’s Disease – Simulation and Assessment. Journal of Technological Science & Engineering (JTSE), 1(1), 1-6. Retrieved from https://rsepress.org/index.php/jtse/article/view/2

Issue

Vol. 1 No. 1 (2020): July 2020

Section

Articles

Copyright (c) 2020 Journal of Technological Science and Engineering (JTSE)

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