EEG Seizure Detection under a Latency Budget: A Comparison of Constrained Feature-Selection Methods
Wearable electroencephalography (EEG) seizure detectors must balance detection performance against the cost of extracting and processing large feature sets. This study formulates feature-subset selection as a binary constrained-optimization problem with an explicit latency budget. An imbalance-aware Extreme Gradient Bo...