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Scoring the Sit-to-Stand Performance of Parkinson's Patients with a Single Wearable Sensor.

, , , , , and . Sensors, 22 (21): 8340 (2022)

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Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device., , , , , , , and . Sensors, 20 (15): 4098 (2020)Scoring the Sit-to-Stand Performance of Parkinson's Patients with a Single Wearable Sensor., , , , , and . Sensors, 22 (21): 8340 (2022)Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs., , , , , , , , , and 8 other author(s). Genom. Proteom. Bioinform., 17 (4): 430-440 (2019)Using multi-dimensional dynamic time warping for TUG test instrumentation with inertial sensors., , , , , , , and . MFI, page 212-218. IEEE, (2012)Fatigue and cognitive impairment after COVID-19: A prospective multicentre study, , , , , , , , , and 16 other author(s). eClinicalMedicine, (2022)Step-Counting Accuracy of a Commercial Smartwatch in Mild-to-Moderate PD Patients and Effect of Spatiotemporal Gait Parameters, Laterality of Symptoms, Pharmacological State, and Clinical Variables., , , , , , , and . Sensors, 23 (1): 214 (2023)Step Length Is a Promising Progression Marker in Parkinson's Disease., , , , , , , , and . Sensors, 21 (7): 2292 (2021)Active Magnetoelectric Motion Sensing: Examining Performance Metrics with an Experimental Setup., , , , , and . Sensors, 21 (23): 8000 (2021)Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders., , , , , , , , , and . Sensors, 20 (23): 6992 (2020)Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study., , , , , , , and . EMBC, page 1133-1136. IEEE, (2022)