Automated health detection of congestive heart failure subject using rank multiresolution wavelet packet attributes and 1-norm linear programming ELM

• Published in: Multimedia tools and applications Vol. 81; no. 14; pp. 19587 - 19608
• Main Authors: Gelmecha, Demissie J., Singh, Ram S., Sinha, Devendra K., Tekilu, Dereje
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2022; Springer Nature B.V
• Subjects: 1205: Emerging Technologies for Information Hiding and Forensics in Multimedia Systems; Age; Artificial neural networks; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Decomposition; Heart failure; Heart rate; Linear programming; Machine learning; Multimedia Information Systems; Neural networks; Ranking; Special Purpose and Application-Based Systems; Support vector machines; Multiresolution Wavelet Packet (MRWP) decomposition; Bhatacharya ranking method; Regularization parameters; Quadrature mirror filter

As far as the mortality of the global population is concerned, it is cardiovascular diseases which cause the highest death rate worldwide, mostly due to the Congestive Heart Failure (CHF). Therefore, an initial detection and diagnosis of CHF becomes essential. This manuscript presents a novel approa...