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Early Detection of Parkinson's Disease Through Spiral and Wave Images Helps Early Identification of Parkinson's Symptoms
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Classification
Parkinson's Spiral & Wave Handwriting Classification Guide
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Parkinson's disease (PD) is a neurodegenerative disease that affects body movement.
Symptoms include tremors, muscle stiffness and difficulty moving. The Parkinson's early detection website app helps users conduct
an initial screening through the spiral and wave patterns of their handwriting. By uploading an image of the handwriting pattern,
users can see the results of tremor or non-tremor classification. The website also provides information and advice on a good
lifestyle for people with Parkinson's.
The data used is secondary data obtained on the Kaggle.com
site from the account name K Scott Mader. The dataset used shows journals that can be used as references to prove
that the data was indeed obtained from Parkinson's patients and has been validated by the RMIT University Human Research
Ethics Committee and in accordance with the Declaration of Helsinki.
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In spiral images, tremors tend to have irregular lines, vibrations, or “tremors”, which are clearly visible in the spiral pattern.
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In non tremor spiral images, the spiral circles tend to be neat and have no significant tremors.
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Tremor wave images tend to have irregular lines, vibrations, or “tremors” evident in the wave pattern.
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In non tremor wave images, the wave lines tend to be neat and have no significant vibrations.
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Mahasiswa D4 TI
Politeknik Negeri Jember
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Dosen D4 Teknik Informatika
Politeknik Negeri Jember
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Dosen D4 Teknologi Rekayasa Elektronika
Universitas Negeri Jember
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Dokter Spesialis Neurologi
RSUD Johar Baru, Jakarta
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