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Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease.

, , , , , , , and . AIME, volume 11526 of Lecture Notes in Computer Science, page 420-424. Springer, (2019)

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Verification of a Method for Measuring Parkinson's Disease Related Temporal Irregularity in Spiral Drawings., , , , and . Sensors, 17 (10): 2341 (2017)A multiple motion sensors index for motor state quantification in Parkinson's disease., , , , , , , , , and 4 other author(s). Comput. Methods Programs Biomed., (2020)Motion Sensor-Based Assessment of Parkinson's Disease Motor Symptoms During Leg Agility Tests: Results From Levodopa Challenge., , , , and . IEEE J. Biomed. Health Informatics, 24 (1): 111-119 (2020)A Review of Parkinson's Disease Cardinal and Dyskinetic Motor Symptoms Assessment Methods Using Sensor Systems., and . HealthyIoT, volume 187 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 52-57. (2016)Feasibility of Using Dynamic Time Warping to Measure Motor States in Parkinson's Disease., , and . J. Sensors, (2020)A method for measuring Parkinson's disease related temporal irregularity in spiral drawings., , and . BHI, page 410-413. IEEE, (2016)Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease., , , , , , , and . AIME, volume 11526 of Lecture Notes in Computer Science, page 420-424. Springer, (2019)A Partial Least-Squares Regression Model to Measure Parkinson's Disease Motor States Using Smartphone Data., and . HICSS, page 1-7. ScholarSpace, (2020)