Long-term unsupervised mobility assessment in movement disorders E Warmerdam, JM Hausdorff, A Atrsaei, Y Zhou, A Mirelman, K Aminian, ... The Lancet Neurology 19 (5), 462-470, 2020 | 230 | 2020 |
The detection of age groups by dynamic gait outcomes using machine learning approaches Y Zhou, R Romijnders, C Hansen, J Campen, W Maetzler, T Hortobágyi, ... Scientific reports 10 (1), 4426, 2020 | 56 | 2020 |
Gait analysis with wearables can accurately classify fallers from non-fallers: A step toward better management of neurological disorders RZU Rehman, Y Zhou, S Del Din, L Alcock, C Hansen, Y Guan, ... Sensors 20 (23), 6992, 2020 | 34 | 2020 |
Classification of neurological patients to identify fallers based on spatial-temporal gait characteristics measured by a wearable device Y Zhou, R Zia Ur Rehman, C Hansen, W Maetzler, S Del Din, L Rochester, ... Sensors 20 (15), 4098, 2020 | 27 | 2020 |
Probing long COVID through a proteomic lens: a comprehensive two-year longitudinal cohort study of hospitalised survivors X Gu, S Wang, W Zhang, C Li, L Guo, Z Wang, H Li, H Zhang, Y Zhou, ... EBioMedicine 98, 2023 | 14 | 2023 |
Artificial neural network to classify cognitive impairment using gait and clinical variables Y Zhou, J van Campen, T Hortobágyi, CJC Lamoth Intelligence-Based Medicine 6, 100076, 2022 | 3 | 2022 |
Machine learning for identifying patterns in human gait: Classification of age and clinical groups Y Zhou | 2 | 2021 |
Artificial neural network accurately classified cognitively impaired and intact geriatric patients using a combination of gait and clinical characteristics Y Zhou, J van Campen, T Hortobágyi, CJC Lamoth Machine learning for identifying patterns in human gait, 45, 2021 | | 2021 |
The use of machine learning to identify gait patterns for aging Y Zhou, T Hortobagyi, C Lamoth International Society of Posture and Gait Research: Conference, 2019 | | 2019 |
The margins of stability during motor learning. Part of the mini-symposium “Gait analysis and adaptations; using new ideas to tackle old problems in gait classification and … H van Keeken, TJW Buurke, R den Otter, Y Zhou, C Lamoth, C Greve, ... Dutch Congress of Rehabilitation Medicine, Location: Groningen, NL, 45-45, 2018 | | 2018 |
Automatic recognition of gait patterns with machine learning Y Zhou, C Lamoth, T Hortobagyi Dutch Congress of Rehabilitation Medicine (DCRM 2018), 2018 | | 2018 |
Gait analysis and adaptations: using new ideas to tackle old problems in gait classification and training H van Keeken, TJW Buurke, R den Otter, Y Zhou, C Lamoth, C Greve, ... Dutch Congress of Rehabilitation Medicine, 2018 | | 2018 |
Automatic recognition of age-related gait patterns with machine learning Y Zhou, T Hortobagyi, C Lamoth 6Th State-of-the-art Congress ‘Rehabilitation: mobility, exercise & sports …, 2018 | | 2018 |