![]() ![]() Moreover, the firing location detector is triggered only once the seizure is detected to save the system's power. In our method, the EEG channels are mapped into two surrogate channels to reduce the computational complexity. BHI allows us to study the nonlinear coupling and variation of phase-synchronization between brain regions and heart activity, which are effective for distinguishing seizures. Therefore, we propose a new method based on the brain-heart interaction (BHI) for detecting the seizure onset and its firing location in the brain with lower complexity and better performance. Moreover, the detection of epilepsy firing location, which is an important issue for diagnosing epilepsy, is not considered before. Also, all EEG channels were considered in a complex manner. ![]() However, the existing methods depended on fusing either the extracted features or the classification results of EEG-only and ECG-only with ignoring the interaction between them, so the detection rate did not improve much. ![]() Introducing ECG can help with EEG for detecting seizures. Automatic detection of epileptic seizures is still a challenging problem due to the intolerance of EEG. ![]()
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