Pattern analysis of computer keystroke time series in healthy control and early-stage Parkinson's disease subjects using fuzzy recurrence and scalable recurrence network features

• Published in: Journal of neuroscience methods Vol. 307; pp. 194 - 202
• Main Author: Pham, Tuan D.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.09.2018
• Subjects: Early Parkinson's disease; Fuzzy recurrence plots; Keystroke time series; Noncommutative catenoid; Noncommutative curvature; Noncommutative minimal surface; Noncommutative Riemannian geometry; Pattern classification; Scalable recurrence networks; Texture analysis; Keystroke time series; Texture analysis; Early Parkinson's disease; Fuzzy recurrence plots; Pattern classification; Scalable recurrence networks

•The proposed methods provide the best classification results.•For the first time, 2D analysis of computer keystroke time series is carried out.•For the first time, scalable recurrence networks are applied to studying real-life time series. Identifying patients with early stages of Parkinson's...