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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)

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Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use., , and . IEEE J. Biomed. Health Informatics, 20 (3): 838-847 (2016)An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment., , , , and . Sensors, 20 (22): 6509 (2020)Deep Learning Techniques for Improving Digital Gait Segmentation., , , , , and . EMBC, page 1834-1837. IEEE, (2019)A Novel Parameterisation of Phase Plots for Monitoring of Parkinson's Disease., , , , and . EMBC, page 5890-5893. IEEE, (2019)Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability., , , , , , , , , and 13 other author(s). EMBC, page 1-4. IEEE, (2023)Pose-based Tremor Type and Level Analysis for Parkinson's Disease from Video., , , , and . CoRR, (2023)Estimating fugl-meyer clinical scores in stroke survivors using wearable sensors., , , and . EMBC, page 5839-5842. IEEE, (2011)Addition of a non-immersive virtual reality component to treadmill training to reduce fall risk in older adults (V-TIME): a randomised controlled trial, , , , , , , , , and 1 other author(s). The Lancet, 388 (10050): 1170--1182 (2016)Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies., , , , , , , , and . IEEE J. Biomed. Health Informatics, 24 (7): 1869-1878 (2020)Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults., , , , , , and . Sensors, 23 (10): 4605 (2023)