A mobile game for Parkinson's disease symptom detection

Parkinson’s Disease (PD) is a chronic disease where symptoms worsen over time. Early detection of the disease allows effective treatments and help to improve the patients’ daily lives. With a digital PD screening tool, it is useful for people to assess their condition easily at their convenience....

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Bibliographic Details
Main Author: Chan, Yong Lin
Other Authors: Yu Han
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/171985
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author Chan, Yong Lin
author2 Yu Han
author_facet Yu Han
Chan, Yong Lin
author_sort Chan, Yong Lin
collection NTU
description Parkinson’s Disease (PD) is a chronic disease where symptoms worsen over time. Early detection of the disease allows effective treatments and help to improve the patients’ daily lives. With a digital PD screening tool, it is useful for people to assess their condition easily at their convenience. This paper introduces a prototype which aims to detect signs of PD from several segments on a mobile application. The segments include audio recording, spiral drawing, trail making tests, and picture recognition. The prototype collects audio features and spiral drawings, and models were built to assess users’ PD risk. The audio model achieved a 92.3% accuracy, and the spiral image model attained an 83% accuracy. In the future, collaborating with medical centres for data collection can improve the models’ accuracy.
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spelling ntu-10356/1719852023-11-24T15:37:28Z A mobile game for Parkinson's disease symptom detection Chan, Yong Lin Yu Han School of Computer Science and Engineering han.yu@ntu.edu.sg Engineering::Computer science and engineering Parkinson’s Disease (PD) is a chronic disease where symptoms worsen over time. Early detection of the disease allows effective treatments and help to improve the patients’ daily lives. With a digital PD screening tool, it is useful for people to assess their condition easily at their convenience. This paper introduces a prototype which aims to detect signs of PD from several segments on a mobile application. The segments include audio recording, spiral drawing, trail making tests, and picture recognition. The prototype collects audio features and spiral drawings, and models were built to assess users’ PD risk. The audio model achieved a 92.3% accuracy, and the spiral image model attained an 83% accuracy. In the future, collaborating with medical centres for data collection can improve the models’ accuracy. Bachelor of Engineering (Computer Science) 2023-11-20T03:40:00Z 2023-11-20T03:40:00Z 2023 Final Year Project (FYP) Chan, Y. L. (2023). A mobile game for Parkinson's disease symptom detection. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/171985 https://hdl.handle.net/10356/171985 en SCSE22-0844 application/pdf Nanyang Technological University
spellingShingle Engineering::Computer science and engineering
Chan, Yong Lin
A mobile game for Parkinson's disease symptom detection
title A mobile game for Parkinson's disease symptom detection
title_full A mobile game for Parkinson's disease symptom detection
title_fullStr A mobile game for Parkinson's disease symptom detection
title_full_unstemmed A mobile game for Parkinson's disease symptom detection
title_short A mobile game for Parkinson's disease symptom detection
title_sort mobile game for parkinson s disease symptom detection
topic Engineering::Computer science and engineering
url https://hdl.handle.net/10356/171985
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