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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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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)Using measurements from wearable sensors for automatic scoring of Parkinson's disease motor states: Results from 7 patients., , , , , and . EMBC, page 131-134. IEEE, (2017)A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States., , , , , , and . IEEE J. Biomed. Health Informatics, 22 (5): 1341-1349 (2018)Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson's Disease., , , , , , , , and . Sensors, 15 (9): 23727-23744 (2015)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)