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2018 | OriginalPaper | Chapter

Early Detection of Heart Symptoms with Convolutional Neural Network and Scattering Wavelet Transformation

Author : Mariusz Kleć

Published in: Foundations of Intelligent Systems

Publisher: Springer International Publishing

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Abstract

The paper utilizes Convolutional Neural Network (CNN) for preliminary screening of cardiac pathologies by classifying the signal of heartbeat, recorded by digital stethoscope and mobile devices. The Scattering Wavelet Transformation (SWT) was used for the heartbeat representation. The experiments revealed the optimum concatenation size of SWT windows to obtain the state-of-the-art in the majority of metrics, coming from the PASCAL Classifying Heart Sounds Challenge.

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Footnotes
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Metadata
Title
Early Detection of Heart Symptoms with Convolutional Neural Network and Scattering Wavelet Transformation
Author
Mariusz Kleć
Copyright Year
2018
Book
Foundations of Intelligent Systems

Print ISBN: 978-3-030-01850-4

Electronic ISBN: 978-3-030-01851-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-01851-1_3

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