An Optical Flow-Based Method to Predict Infantile Cerebral Palsy

@article{Stahl2012AnOF,
  title={An Optical Flow-Based Method to Predict Infantile Cerebral Palsy},
  author={Amy Nicole Stahl and Christian Schellewald and Oyvind Stavdahl and Ole Morten Aamo and Lars Adde and Harald Kirker{\o}d},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2012},
  volume={20},
  pages={605-614}
}
Cerebral palsy (CP) is a perinatally acquired nonprogressive brain damage resulting in motor impairment affecting mobility and posture. Early identification of infants with CP is desired to target early interventions and follow-up. During early infancy, distinct motion patterns occur which are highly predictive for later disability. These motor patterns can be observed and recorded. In this paper, a method to predict later CP based on early video recordings of the infants' spontaneous movements… Expand
Detection of Atypical and Typical Infant Movements using Computer-based Video Analysis
  • S. Orlandi, K. Raghuram, +5 authors T. Chau
  • Computer Science, Medicine
  • 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  • 2018
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