In a recent study published on Nature, researchers led by N. Priyadharshini Jayadurga combined wavelet analysis and autoencoders with a Crow-Search optimized k-NN classifier to improve eye blink detection in EEG signals. This new method refines feature extraction and tuning, offering enhanced biomedical signal monitoring and applications in neurology.