id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3101	Amit Kumar	Rhythmic Recognition: Harnessing Deep Learning for Cutting-Edge ECG Biometric Authentication	2024	11	.pdf	application/pdf	4992	319	41	To extract high-dimensional features from ECG signals, we stored the convolutional layers associated with ECG data in the database and subsequently modified the pretrained CNN architecture by removing the fully connected layers. Cardiovascular diseases require the classification and identification of ECG signals.	cache/cana-3101.pdf	txt/cana-3101.txt