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What is Automated Detection of Infantile Spasms about?
This paper presents a novel approach for detecting infantile spasms using markerless computer vision techniques and a pre-trained 3D neural network on video data. The system extracts spatio-temporal features from seizure videos and employs multiple classifiers for binary classification, achieving an average ROC curve area of 0.813±0.058. This automated detection method aims to improve diagnostic accuracy and accessibility for pediatric epilepsy, addressing the challenges of current diagnostic practices.
- Author
- Sudiptha Mudiraj
- Language
- EN