Assessment of Compressed and Decompressed ECG Databases for Telecardiology Applying a Convolution Neural Network

• Published in: Electronics (Basel) Vol. 11; no. 17; p. 2708
• Main Authors: Soni, Ekta, Nagpal, Arpita, Garg, Puneet, Pinheiro, Plácido Rogerio
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2022
• Subjects: Algorithms; Arrhythmia; Artificial neural networks; Big Data; Cardiac arrhythmia; Classification; Compression ratio; Computing time; Coronaviruses; COVID-19; Deep learning; Discrete cosine transform; Disease transmission; Electrocardiogram; Electrocardiography; Fourier transforms; Heart; Machine learning; Methods; Neural networks; Patients; Remote monitoring; Signal classification; Signal processing; Telemedicine; Time signals; Wavelet transforms; India

Incalculable numbers of patients in hospitals as a result of COVID-19 made the screening of heart patients arduous. Patients who need regular heart monitoring were affected the most. Telecardiology is used for regular remote heart monitoring of such patients. However, the resultant huge electrocardi...