Computation Complexity Reduction Technique for Accurate Seizure Detection Implants

An automatic seizure detection method from high-resolution intracranial-EEG (iEEG) signals is presented to minimize the computational complexity and realize real-time accurate seizure detection for biomedical implants. Complex signal processing on a large amount of iEEG signals captured via several...

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Veröffentlicht in:	2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS) S. 1 - 4
Hauptverfasser:	Razi, Keyvan Farhang, Schmid, Alexandre
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 24.10.2022
Schlagworte:	Biomedical digital signal processing Channel selection Detectors Electrodes Feature extraction Implants Seizure detector implants Sensitivity Signal processing Signal processing algorithms
Online-Zugang:	Volltext
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