A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington’s Disease Patients
Publication Year: 2015 / Journal: Sensors
Neuroscience
Combining motion capture and accelerometers for the assessment of rotation and acting forces in bilateral vestibulopathy patients during walking tasks
Publication Year: 2016 / Journal: Clinical Neurophysiology
Influence of Multiple Sclerosis on Spatiotemporal Gait Parameters: A Systematic Review and Meta-Regression
Publication Year: 2021 / Journal: Archives of Physical Medicine and Rehabilitation
Effect of Levodopa and Environmental Setting on Gait and Turning Digital Markers Related to Falls in People with Parkinson’s Disease
Publication Year: 2022 / Journal: Movement Disorders
Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study
Publication Year: 2023 / Journal: npj Parkinson’s Disease
Arm swing deviations in patients with Parkinson’s disease at different gait velocities
Publication Year: 2023 / Journal: Journal of Neural Transmission
A highly challenging balance training intervention for people with multiple sclerosis: a feasibility trial
Publication Year: 2023 / Journal: Pilot and Feasibility Studies
Validating stroke-induced bilateral ankle coordination defcits using bilateral ankle measure relationship with motor functions in lower limbs
Publication Year: 2023 / Journal: Journal of NeuroEngineering and Rehabilitation
Gait and turning characteristics from daily life increase ability to predict future falls in people with Parkinson’s disease
Publication Year: 2023 / Journal: Frontiers in Neurology
Instrumented Timed Up and Go Test (iTUG)-More Than Assessing Time to Predict Falls: A Systematic Review
Publication Year: 2023 / Journal: Sensors