mlsanityData to 7 Oct 2026

CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy

arXiv 2209.02824 ↗First posted 6 Sep 2022cs.CV cs.LG eess.IVcited by 3

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Abstract (arXiv)

Early prediction is clinically considered one of the essential parts of cerebral palsy (CP) treatment. We propose to implement a low-cost and interpretable classification system for supporting CP prediction based on General Movement Assessment (GMA). We design a Pytorch-based attention-informed graph convolutional network to early identify infants at risk of CP from skeletal data extracted from RGB videos. We also design a frequency-binning module for learning the CP movements in the frequency domain while filtering noise. Our system only requires consumer-grade RGB videos for training to support interactive-time CP prediction by providing an interpretable CP classification result.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 11 of its 28 references that are in the map. First posted on arXiv 6 Sep 2022.

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11 of 28 references.

References · 11

  1. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  2. 2018Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognitioncited by 1,199
  3. 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
  4. 2016RMPE: Regional Multi-person Pose Estimationcited by 340
  5. 2021A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videoscited by 12
  6. 2019A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrayscited by 9
  7. 2021Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attentioncited by 8
  8. 2021Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Frameworkcited by 7
  9. 2022Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networkscited by 6
  10. 2017Openmv: A Python powered, extensible machine vision cameracited by 2
  11. 2022Pose-based Tremor Classification for Parkinson's Disease Diagnosis from Videocited by 2

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Citing papers per year: 2023: 1; 2024: 1; 2025: 1.

3 papers.

  1. 2023PD-ADSV: An Automated Diagnosing System Using Voice Signals and Hard Voting Ensemble Method for Parkinson's Diseasecited by 1
  2. 2024Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsycited by 1
  3. 2025Towards Biomarker Discovery for Early Cerebral Palsy Detection: Evaluating Explanations Through Kinematic Perturbationscited by 1