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

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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:
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1. Kinematic Extraction with DeepLabCut 2.3 from videos [<a href="https://www.nature.com/articles/s41593-018-0209-y/">1</a>, <a href="https://github.com/DeepLabCut/DeepLabCut">2</a>]
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2. Post-processing of extracted X,Y coordinates
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3. Time-Series Classification with HIVE-COTE 2.0 <a href="https://link.springer.com/article/10.1007/s10994-021-06057-9">[3]</a>. Users can begin with our preprocessing script or proceed directly to time series classification with the data provided.
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Our raw data consisted of 66 videos from 33 participants (29 with dyskinetic cerebral palsy / four typically developing, age 7-23, 13 females / 20 males). The participants performed an item from the Dyskinesia Impairment Scale (DIS) - the heel-toe tapping task with the right lower leg (task 11) and the left lower leg (task 12) <a href="https://onlinelibrary.wiley.com/doi/10.1111/j.1469-8749.2011.04209.x">[4]</a>.
The original videos are NOT included in the RDR repro due to privacy reasons.
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References:
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1. Mathis, A., et al., DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat Neurosci, 2018. 21(9): p. 1281-1289.
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2. github.com/DeepLabCut/DeepLabCut
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3. Middlehurst M, Large J, Flynn M, Lines J, Bostrom A, Bagnall A. HIVE-COTE 2.0: a new meta ensemble for time series classification. Mach Learn . 2021 Dec 1; 110(11–12):3211–43
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4. Monbaliu E, Ortibus E, de Cat J, Dan B, Heyrman L, Prinzie P, et al. The dyskinesia Impairment Scale: a new instrument to measure dystonia and choreoathetosis in dyskinetic cerebral palsy. Dev Med Child Neurol. 2012;54:278–83.