Heart Murmurs Extraction Using the Complete Ensemble Empirical Mode Decomposition and the Pearson Distance Metric

Jusak, Jusak ORCID: https://orcid.org/0000-0001-5646-4865, Puspasari, Ira and Susanto, Pauladie (2016) Heart Murmurs Extraction Using the Complete Ensemble Empirical Mode Decomposition and the Pearson Distance Metric. In: ICTS, 12 Oktober 2016, Surabaya.

[img]
Preview
Text
1. Dokumen ICTS2016.pdf - Accepted Version

Download--- (3MB) | Preview
[img]
Preview
Text
2. PeerReview ICTS2016.pdf - Accepted Version

Download--- (553kB) | Preview
[img]
Preview
Text
3. Turnitin ICTS2016.pdf - Accepted Version

Download--- (2MB) | Preview

Search this title on : |

Abstract

Signal processing for pathological heart sound signals can be considered as a fundamental part of the whole process in tele-auscultation systems. In this paper, we employ the CEEMD and the EEMD algorithm to decompose various pathological heart sound signals in the form of phonocardiograph (PCG) signals. Following the decomposition process, we subsequently extract murmurs from the targeted heart sound signals using our proposed technique that based on the Pearson distance metric. Performance analysis of the decomposition algorithms as well as the extraction method is evaluated in terms of delta SNR that signifies variance comparison of targeted signal before and after murmurs extraction. It can be concluded that in general pathological heart sound signals that have been decomposed by the CEEMD algorithm followed by the Pearson distance metric for murmurs extraction, provide the finest murmurs extraction than the EEMD. Additionally, the EEMD algorithm involves smaller number of modes to form the extracted murmurs signal as compared to the CEEMD algorithm. However, employing the CEEMD algorithm produces higher number of shifting procedures causing higher computational complexity than the EEMD algorithm.


Export Record


Item Type: Conference or Workshop Item (Paper)
Additional Information: Jusak, Ira Puspasari, Pauladie Susanto
Uncontrolled Keywords: phonocardiograph, heart sound, heart murmurs, empirical mode decomposition.
Dewey Decimal Classification: 600 – Technology > 620 Engineering & Applied operations > 621 Applied physics
Divisions: Perpustakaan > Prosiding/Call for Papers
Depositing User: Annuh Liwan Nahar
Date Deposited: 10 May 2021 10:44
Last Modified: 10 May 2021 10:44
URI: http://repository.dinamika.ac.id/id/eprint/5605

Download Statistics

Downloads over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Actions (login required)

View Item   View Item