An FPGA Prototype for Parkinson’s Disease Detection Using Machine Learning on Voice Signal

An FPGA Prototype for Parkinson’s Disease Detection Using Machine Learning on Voice Signal

Parkinson’s disease (PD) is a chronic neurological disorder caused by a reduction in dopamine levels in the brain. Early diagnosis is crucial for effective treatment. This paper proposes an efficient machine learning model for PD detection using voice-based features, which offer a non-inv...

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Bibliographic Details
Main Authors: Mujeev Khan, Abdul Moiz, Gani Nawaz Khan, Mohd Wajid, Mohammed Usman, Jabir Ali
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
ANOVA
chi-squared
efficient architecture
feature selection
FPGA
hardware design
Online Access:https://ieeexplore.ieee.org/document/11008599/
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https://ieeexplore.ieee.org/document/11008599/

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