A Nature Inspired Algorithm for Parkinson’s disease Prediction through Speech Signal

Authors

  • Lalin L Laudis Department of Electronics and Communication Engineering Mar Ephraem College of Engineering and Technology, TN, India Author
  • Leo Bright Singh R Department of Mechanical Engineering Mar Ephraem College of Engineering and Technology, TN, India Author
  • Anish John Paul M Department of Electrical and Electronics Engineering, Mar Ephraem College of Engineering and Technology, TN, India Author

DOI:

https://doi.org/10.48047/d1m5dr78

Keywords:

Nature Inspired Computing, Predictive Science, Parkinson’s Disease Prediction

Abstract

Neuro Degenerative Diseases (NDD) are rapidly evolving, and the victims gets increasing. It is estimated that the NDD victims have doubles during the past decade. NDDs can be prioritized and in which Parkinson’s Disease, Alzheimer’s Disease and Dementia are the more prominent ones. Notably, the victims of PD are not aware of it until the symptoms gets severe. This is because there 
is no specific test for PD hitherto.

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References

Singh, G., Sharma, M., Kumar, G. A., Rao, N. G., Prasad, K., Mathur, P. & Dandona, L. (2021). The burden of neurological disorders across the states of India: the Global Burden of Disease Study 1990–2019. The Lancet Global Health, 9(8), e1129-e1144.

Rajan, R., Divya, K. P., Kandadai, R. M., Yadav, R., Satagopam, V. P., Madhusoodanan, U. K., ... & Lux-GIANT Consortium. (2020). Genetic architecture of Parkinson's disease in the Indian population: harnessing genetic diversity to address critical gaps in Parkinson's disease research. Frontiers in neurology, 11, 531997.

https://www.mayoclinic.org/diseases-conditions/parkinsons-disease/diagnosis-treatment/drc20376062

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Published

2025-02-20

Issue

Vol. 54 No. 4 (2025): Year 2025, Volume 54, Issue 4

Section

Articles

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How to Cite

A Nature Inspired Algorithm for Parkinson’s disease Prediction through Speech Signal (L. . L Laudis, L. B. . Singh R, & A. . John Paul M , Trans.). (2025). Cuestiones De Fisioterapia, 54(4), 7589-7603. https://doi.org/10.48047/d1m5dr78