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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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2023
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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. |
first_indexed | 2024-10-01T05:48:43Z |
format | Final Year Project (FYP) |
id | ntu-10356/171985 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:48:43Z |
publishDate | 2023 |
publisher | Nanyang Technological University |
record_format | dspace |
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 |
work_keys_str_mv | AT chanyonglin amobilegameforparkinsonsdiseasesymptomdetection AT chanyonglin mobilegameforparkinsonsdiseasesymptomdetection |