Using Polar Expression Features and Nonlinear Machine Learning Classifier for Automated Parkinson’s Disease Screening

IEEE Sensors Journal, pp. 501-514, 2020.

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Abstract:

Analyzing digitalized hand-drawn patterns, such as Archimedes’ spirals, words, and sentences, is one strategy for evaluating functional tremors and upper-limb movement disorders for neurodegenerative diseases. A pattern, such as a spiral or a line, in polar coordinates is a straight line or a curve that can be easily compared to a hand-dr...More

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