Replication Data for: Automated classification of dystonia and choreoathetosis in dyskinetic cerebral palsy during a lower extremity task: a pilot study on a retrospective video dataset KU Leuven
This RDR repository contains the data and code used in the study ‘Automated classification of dystonia in dyskinetic cerebral palsy within a lower extremity task using markerless motion tracking and time series classification: a pilot study on retrospective videos.’ The study had three main steps:
1. Kinematic Extraction with DeepLabCut 2.3 from videos [1, 2]
2. Post-processing of extracted X,Y coordinates
3. Time-Series Classification with HIVE-COTE 2.0 [3]. Users can begin with our preprocessing script or proceed directly to time series ...