Preictal Time Assessment using Heart Rate Variability Features in Drug-resistant Epilepsy Patients

Authors

Keywords

brain;diseases;drugs;electrocardiography;electroencephalography;medical disorders;medical signal detection;medical signal processing;neurophysiology;transition period;seizure onset;nearest preictal 50 min;preictal time assessment;heart rate variability features;epileptic seizures;brain activity seconds;autonomic nervous system;electrocardiogram trace;interictal periods;interval preceding seizures;preictal period;preictal state;epileptic brain states;preictal location;preictal interval;frequency domain features;ECG data;drug-resistant epilepsy patients;time 50.0 min;Feature extraction;Heart rate variability;Electrocardiography;Microsoft Windows;Electroencephalography;Epilepsy;Databases

Conference

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019

DOI