Detail publikace

Cardi-Net: A Deep Neural Network for classification of Cardiac disease using Phonocardiogram Signal

KHAN, J. KAUSHIK, M. CHAURASIA, A. DUTTA, M. BURGET, R.

Originální název

Cardi-Net: A Deep Neural Network for classification of Cardiac disease using Phonocardiogram Signal

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Background and objectives The lack of medical facilities in isolated areas makes many patients remain aloof from quick and timely diagnosis of cardiovascular diseases, leading to high mortality rates. A deep learning based method for automatic diagnosis of multiple cardiac diseases from Phonocardiogram (PCG) signals is proposed in this paper. Methods The proposed system is a combination of deep learning based convolutional neural network (CNN) and power spectrogram Cardi-Net, which can extract deep discriminating features of PCG signals from the power spectrogram to identify the diseases. The choice of Power Spectral Density (PSD) makes the model extract highly discriminatory features significant for the multi-classification of four common cardiac disorders. Results Data augmentation techniques are applied to make the model robust, and the model undergoes 10-fold cross-validation to yield an overall accuracy of 98.879% on the test dataset to diagnose multi heart diseases from PCG signals. Conclusion The proposed model is completely automatic, where signal pre-processing and feature engineering are not required. The conversion time of power spectrogram from PCG signals is very low range from 0.10 sec to 0.11 sec. This reduces the complexity of the model, making it highly reliable and robust for real-time applications. The proposed architecture can be deployed on cloud and a low cost processor, desktop, android app leading to proper access to the dispensaries in remote areas.

Klíčová slova

Phonocardiogram; Data augmentation; Power spectrogram; Deep learning; Cardiac disorders

Autoři

KHAN, J.; KAUSHIK, M.; CHAURASIA, A.; DUTTA, M.; BURGET, R.

Vydáno

1. 12. 2020

Nakladatel

Elsevier Ireland Ltd

ISSN

0169-2607

Periodikum

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Ročník

219

Číslo

1

Stát

Nizozemsko

Strany od

1

Strany do

11

Strany počet

11

URL

https://www.sciencedirect.com/science/article/abs/pii/S0169260720315832

BibTex

@article{BUT177050,
  author="Juwairiya Siraj {Khan} and Manoj {Kaushik} and Anushka {Chaurasia} and Malay Kishore {Dutta} and Radim {Burget}",
  title="Cardi-Net: A Deep Neural Network for classification of Cardiac disease using Phonocardiogram Signal",
  journal="COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE",
  year="2020",
  volume="219",
  number="1",
  pages="1--11",
  doi="10.1016/j.cmpb.2022.106727",
  issn="0169-2607",
  url="https://www.sciencedirect.com/science/article/abs/pii/S0169260720315832"
}