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Automated Motor Tic Detection: A Machine Learning Approach.

Nele Sophie BrüggeGesine Marie SallandtRonja SchappertFrédéric LiAlina SiekmannMarcin GrzegorzekTobias BäumerChristian FringsChristian BesteRoland StengerVeit RoessnerSebastian FudickarHeinz HandelsAlexander Münchau
Published in: Movement disorders : official journal of the Movement Disorder Society (2023)
ML algorithms for automatic tic detection based on video recordings are feasible and reliable and could thus become a valuable assessment tool, for example, for objective tic measurements in clinical trials. ML algorithms might also be useful for the differential diagnosis of tics. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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