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
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