Personalizing Heart Rate-Based Seizure Detection Using Supervised SVM Transfer Learning

Conclusion: The proposed method allows an easy implementable solution to personalize heart rate-based seizure detection, which can improve the quality of life of refractory epilepsy patients when used as part of a multimodal seizure detection system.
Source: Frontiers in Neurology - Category: Neurology Source Type: research