Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach

Asphyxia, a critical respiratory condition, poses significant risks to newborns and can lead to catastrophic outcomes. Early detection of asphyxia is crucial for reducing infant mortality rates. Traditional medical diagnosis methods can be time-consuming, whereas early detection through artificial i...

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Bibliographic Details
Main Authors:	Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Arpita Howlader, Md. Mahbubur Rahman, Hafiz Md. Hasan Babu, Nitish Biswas, Umme Raihan Siddiqi, Badhan Mazumder
Format:	Article
Language:	English
Published:	Elsevier 2025-06-01
Series:	Neuroscience Informatics
Subjects:	Asphyxia detection Mel frequency cepstral coefficient Random oversampling Hyperparameter ANN CNN
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772528625000081
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Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach

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