A Parkinson's disease risk analytics system based on handwritten Chinese characters
Parkinson's disease (PD) is a debilitating neurodegenerative disorder. Early detection of the disease is important for effective treatment and can improve patients' quality of life. In order to achieve early detection, a population level screening tool is required. This paper introduces a...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/137963 |
| _version_ | 1811686627420930048 |
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| author | Chen, Jing |
| author2 | Yu Han |
| author_facet | Yu Han Chen, Jing |
| author_sort | Chen, Jing |
| collection | NTU |
| description | Parkinson's disease (PD) is a debilitating neurodegenerative disorder. Early detection of the disease is important for effective treatment and can improve patients' quality of life. In order to achieve early detection, a population level screening tool is required. This paper introduces a prototype which aims to capture early signs of PD symptoms from users' Chinese handwriting on mobile screens. It can be seamlessly infused into everyday use.
The prototype collects rich features of handwriting in the forms of images and time series data to support pattern analytics research that can assess users' PD risk. A preliminary model based on Convolutional Neural Network and Long Short-Term Memory is built to differentiate between the handwriting of elderly above 60 years old and adults below 30 years old as a proof of concept. 10 subjects were involved in the application testing of writing 50 Chinese characters, with 5 elderly and 5 young adults. An accuracy of $70.8\%$ is achieved from the best model, with a precision of $66.7\%$ at identifying handwriting by elderly. The result could be improved by collecting more samples to reduce overfitting.
In the future, collaborations with healthcare institution for actual data collection with Parkinson's patients can allow more accurate depiction of their medical condition. |
| first_indexed | 2024-10-01T05:03:25Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/137963 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:03:25Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1379632020-04-20T09:47:06Z A Parkinson's disease risk analytics system based on handwritten Chinese characters Chen, Jing Yu Han School of Computer Science and Engineering han.yu@ntu.edu.sg Engineering::Computer science and engineering Parkinson's disease (PD) is a debilitating neurodegenerative disorder. Early detection of the disease is important for effective treatment and can improve patients' quality of life. In order to achieve early detection, a population level screening tool is required. This paper introduces a prototype which aims to capture early signs of PD symptoms from users' Chinese handwriting on mobile screens. It can be seamlessly infused into everyday use. The prototype collects rich features of handwriting in the forms of images and time series data to support pattern analytics research that can assess users' PD risk. A preliminary model based on Convolutional Neural Network and Long Short-Term Memory is built to differentiate between the handwriting of elderly above 60 years old and adults below 30 years old as a proof of concept. 10 subjects were involved in the application testing of writing 50 Chinese characters, with 5 elderly and 5 young adults. An accuracy of $70.8\%$ is achieved from the best model, with a precision of $66.7\%$ at identifying handwriting by elderly. The result could be improved by collecting more samples to reduce overfitting. In the future, collaborations with healthcare institution for actual data collection with Parkinson's patients can allow more accurate depiction of their medical condition. Bachelor of Engineering (Computer Science) 2020-04-20T09:47:06Z 2020-04-20T09:47:06Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/137963 en SCSE19-0347 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Chen, Jing A Parkinson's disease risk analytics system based on handwritten Chinese characters |
| title | A Parkinson's disease risk analytics system based on handwritten Chinese characters |
| title_full | A Parkinson's disease risk analytics system based on handwritten Chinese characters |
| title_fullStr | A Parkinson's disease risk analytics system based on handwritten Chinese characters |
| title_full_unstemmed | A Parkinson's disease risk analytics system based on handwritten Chinese characters |
| title_short | A Parkinson's disease risk analytics system based on handwritten Chinese characters |
| title_sort | parkinson s disease risk analytics system based on handwritten chinese characters |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/137963 |
| work_keys_str_mv | AT chenjing aparkinsonsdiseaseriskanalyticssystembasedonhandwrittenchinesecharacters AT chenjing parkinsonsdiseaseriskanalyticssystembasedonhandwrittenchinesecharacters |