Noise detection in smartphone phonocardiogram

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 in:2017 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
Language:English
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