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A Mobile Solution for Rhythmic Auditory Stimulation Gait Training., , , , , , , , , and . EMBC, page 309-312. IEEE, (2019)Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease., , , , , and . BHI, page 1-4. IEEE, (2019)Pull test estimation in Parkinson's disease patients using wearable sensor technology., , , , and . EMBC, page 3109-3112. IEEE, (2015)Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease., , , , , , and . Sensors, 18 (1): 145 (2018)Mobile Gait Analysis using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients., , , , , and . EMBC, page 5430-5433. IEEE, (2018)Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters., , , , , and . Sensors, 17 (7): 1522 (2017)Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson's Disease., , , , , , and . Sensors, 19 (14): 3103 (2019)Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data., , , , , , , , , and 1 other author(s). Sensors, 15 (3): 6419-6440 (2015)Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson's Disease., , , , , , , and . Sensors, 21 (22): 7680 (2021)An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things., , , , and . IEEE J. Biomedical and Health Informatics, 19 (6): 1873-1881 (2015)