Noise detection in smartphone phonocardiogram

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 f...

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Bibliographic Details
Published in2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 6584 - 6585
Main Authors Das, Deepan, Banerjee, Rohan, Choudhury, Anirban Dutta, Deshpande, Parijat, Shah, Nital, Date, Vijay, Pal, Arpan, Mandana, Kayapanda M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2017
Subjects
Classification
Correlation
Diagnosable quality
Feature Selection
Heart
Noise
Noise measurement
Phonocardiogram
Phonocardiography
Sensitivity
Stethoscope
Training
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Summary: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%.
ISSN:2379-190X
DOI:10.1109/ICASSP.2017.8005305