Papers Video-based activity recognition for automated motor assessment of Parkinson's disease An Evaluation of Kelvin, an Artificial Intelligence Platform, as an Objective Assessment of the MDS UPDRS Part III Published on 15 Sep 2022 in the Parkinson's Disease Journal Abbreviated MDS-UPDRS for Remote Monitoring in PD Identified Using Exhaustive Computational Search Published on 07 Jun 2022 in the Parkinson's Disease Journal A Clinically Interpretable Computer-Vision Based Method for Quantifying Gait in Parkinson’s Disease Published on 12 Aug 2021 in Sensors Computer-vision based method for quantifying rising from chair in Parkinson's disease patients Published on 20 Dec 2021 in Intelligence-Based Medicine Posters A Clinically Interpretable Severity Estimation of Facial Expression Impairment in Parkinson's Disease Presented at the MDS Congress 2022 Maximising UPDRS information while minimising assessment time Presented at the MDS Congress 2021 A Computer-Vision Based Method for Quantifying Parkinsonian Gait Presented at the MDS Congress 2021 Evidence of possible bias in pre-surgical assessment of Parkinson’s disease using levodopa challenges Presented at the ESSFN Congress 2021 Bayesian Estimation of Gait Cadence from Monocular Video Presented at the MDS Congress 2020 Real Time Quality Control for Subjective Endpoints in Clinical Trials Presented at the MDS Congress 2020 Assessment of Parkinson’s Disease Severity using Machine Learning Presented at the CNS Summit 2019 Master Theses *Awarded Distinction A Machine Learning Approach to Human Activity Recognition in Parkinson's Disease Assessments* Published: 1 Sep 2021 Efficient remote assessment in Parkinson's Disease: maximizing information from simplified assessment procedures* Published: 1 Sep 2020 Extracting neuromotor biomarkers of Parkinson’s Disease from video data* Published: 22 Aug 2018 Mr Joshua Ong Shun You University College London Mr Jingxuan Tang The University of Warwick Ms Tanmaiyii Rao Queen Mary, University of London
