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 smart...Show MoreNotes: This article was mistakenly omitted from the original submission to IEEE Xplore. It is now included as part of the conference record.
Metadata
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%.
Notes: This article was mistakenly omitted from the original submission to IEEE Xplore. It is now included as part of the conference record.
Published in: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date of Conference: 05-09 March 2017
Date Added to IEEE Xplore: 10 August 2017
ISBN Information:
Electronic ISSN: 2379-190X
Contents 