Parkinson's Disease Detection System

The Parkinson's disease Detection System is a powerful detection method that can identify whether or not a person has Parkinson's disease. This paper's main objective is to develop a trustworthy system for diagnosing Parkinson's disease that can recognize the condition in a range of patients and enable them to get the help they require quickly. It is thought that if Parkinson's disease symptoms are identified early, a person can receive the necessary medication to keep the condition's negative effects under control. Tremor, sluggish movement, tight muscles, poor posture and balance, loss of instinctive motions, changes in speech or writing, etc. are just a few of the indications and symptoms of Parkinson's disease. Consequently, numerous techniques have been created to test the same for people. As a result, we are developing a detection system that uses several speech metrics to identify Parkinson's disease in a patient.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-22
DOI
https://doi.org/10.5281/zenodo.14908858
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parkinson's Disease Detection System

Zenodo (CERN European Organization for Nuclear Research)
Machine Fault Diagnosis Techniques
article

Parkinson's Disease Detection System

article en

Abstract

The Parkinson's disease Detection System is a powerful detection method that can identify whether or not a person has Parkinson's disease. This paper's main objective is to develop a trustworthy system for diagnosing Parkinson's disease that can recognize the condition in a range of patients and enable them to get the help they require quickly. It is thought that if Parkinson's disease symptoms are identified early, a person can receive the necessary medication to keep the condition's negative effects under control. Tremor, sluggish movement, tight muscles, poor posture and balance, loss of instinctive motions, changes in speech or writing, etc. are just a few of the indications and symptoms of Parkinson's disease. Consequently, numerous techniques have been created to test the same for people. As a result, we are developing a detection system that uses several speech metrics to identify Parkinson's disease in a patient.

Zenodo (CERN European Organization for Nuclear Research)
No poverty
Openalex Percentile: Top 48%
Machine Fault Diagnosis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.