Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Pr…

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing\n\nCovers advanced applications of machine learning coupled with signal processing techniques for the analysis and classification of various cardiovascular signals\n\nRajesh Kumar Tripathy (Edited by), Ram Bilas Pachori (Edited by)\n\n9780443141416, Elsevier Science\n\nPaperback / softback, published 18 June 2024\n\n184 pages\n22.9 x 15.2 x 1.3 cm, 0.3 kg\n\nSignal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular data analysis. Topics in this book include machine learning methods such as supervised learning, unsupervised learning, semi-supervised learning, and meta-learning combined with different signal processing techniques such as multivariate data analysis, time-frequency analysis, multiscale analysis, and feature extraction techniques for the detecti]