Robin Reichmann, Matthias B Schulze, Tobias Pischon, Cornelia Weikert, Krasimira Aleksandrova
Biomarker signatures associated with ageing free of major chronic diseases: results from a population-based sample of the EPIC-Potsdam cohort
Age and ageing
paper reviews research work analysis classification pathological infant cries last 50 years literature review mainly covers need role early clinical diagnosis pathologies detected cry samples challenges pathological cry signal data acquisition signal processing techniques signal classifiers signal processing techniques include preprocessing feature extraction domains time spectral timefrequency prosodic wavelet etc feature selection selecting dominant features literature covers traditional machine learning classifiers bayesian networks decision trees knearest neighbor support vector machine gaussian mixture model etc recently added neural network models convolutional neural networks regression neural networks probabilistic neural networks graph neural networks etc significant experimental results pathological cry identification classification listed comparison finally suggests future research direction database preparation feature analysis extraction neural network classifiers provide noninvasive robust automatic infant cry analysis model