Prediction of individual progression rate in Parkinson’s disease using clinical measures and biomechanical measures of gait and postural stability
Publication Year: 2019 / Journal: Electrical Engineering and Systems Science
Machine Learning
Use of Wearable Sensors and Machine Learning Methods in Promoting Total Joint Replacement Treatment Outcomes: A Survey
Publication Year: 2021 / Journal: Sage Journals
Decomposition of Complex Movements into Primitives for Parkinson’s Disease Assessment
Publication Year: 2018 / Journal: IBM Journal of Research and Development
iGait: Vision-based Low-Cost, Reliable Machine Learning Framework for Gait Abnormality Detection
Publication Year: 2017 / Journal: Dissertation
Comparison of Machine Learning approaches for Classifying Upper Extremity Tasks in Individuals Post-Stroke
Publication Year: 2020 / Journal: IEEE
Decomposition of Reaching Movements Enables Detection and Measurement of Ataxia
Publication Year: 2021 / Journal: The Cerebellum
Objective Diagnosis of ADHD Using IMUs
Publication Year: 2014 / Journal: Medical Engineering & Physics
Transparent Quality Optimization for Machine Learning-Based Regression in Neurology
Publication Year: 2022 / Journal: MDPI Journal of Personalized Medicine
Longitudinal Monitoring of Progressive Supranuclear Palsy using Body-Worn Movement Sensors
Publication Year: 2022 / Journal: Movement Disorders
Detection of Fall Risk in Multiple Sclerosis by Gait Analysis-An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms
Publication Year: 2022 / Journal: brain sciences