Noise detection in smartphone phonocardiogram

Deepan Das; Rohan Banerjee; Anirban Dutta Choudhury; Parijat Deshpande; Nital Shah; Vijay Date; Arpan Pal; Kayapanda M. Mandana

ICASSP 2017accepted0 citations

Noise detection in smartphone phonocardiogram

Deepan Das, Rohan Banerjee, Anirban Dutta Choudhury, Parijat Deshpande, Nital Shah, Vijay Date, Arpan Pal, Kayapanda M. Mandana

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Abstract

This paper presents a demo proposal of a standalone smartphone application that can automatically analyse the signal quality of PCG, as it is recorded on a low-cost smartphone-based digital stethoscope. Features, related to the inherent pattern of the autocorrelated signal envelope, have been used for classifying and discarding the noisy portions from a continuous PCG. Our application has been successfully deployed on Nexus 5 and tested on several clean and noisy PCG signals with sensitivity 78.91% and specificity 70.83%.

BibTeX

@inproceedings{icassp2017_noisedetectionin,
  title = {Noise detection in smartphone phonocardiogram},
  author = {Deepan Das and Rohan Banerjee and Anirban Dutta Choudhury and Parijat Deshpande and Nital Shah and Vijay Date and Arpan Pal and Kayapanda M. Mandana},
  booktitle = {ICASSP 2017},
  year = {2017}
}