A Novel Approach for Heart Murmurs Detection and Classification

Ahfir, Maamar; Kale, I.

doi:10.1007/978-1-4614-2317-1_12

Cited by 1 publication

(2 citation statements)

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“…Results for the entire Data base sounds are summarized in Table 5, where it can be seen in this table that the synchronisation pre-processing of the heart cycles significantly increase the number of the correlated periods in the PCGs (1,4,7,9,10,14,15,16,19 and 21) as compared to the results obtained without synchronisation. For the PCGs (3, 5, 11 and 12) where these heart sounds include gallops, either S3 or S4, their non-synchronized cycles due to the S3 or S4 parts were apparent even after the cross-correlation synchronisation process, as seen in Figure 13, which decreases the correlation coefficients values and then reduces the number of correlated heart cycles.…”

Section: Resultsmentioning

confidence: 99%

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Automatic heart sounds segmentation based on the correlation coefficients matrix for similar cardiac cycles identification

Belmecheri

Ahfir

Kale

2018

Biomedical Signal Processing and Control

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This paper proposes a novel automatic heart sounds segmentation method for deployment in heart valve defect diagnosis. The method is based on the correlation coefficients matrix, calculated between all the heart cycles for similarity identification. Firstly, fundamental heart sounds (S1 and S2) in the presence of extra gallop sounds such as S3 and/or S4 and murmurs are localized with more accuracy. Secondly, two similarity-based filtering approaches (using time and time-frequency domains, respectively) for correlated heart cycles identification are proposed and evaluated in the context of professional clinical auscultated heart sounds of adult patients. Results show the superiority of the novel time-frequency method proposed here particularly in the presence of extra gallop sounds.

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Section: Resultsmentioning

confidence: 99%

“…For these heart sounds, the alternative time-frequency method improves significantly the number of the correlated cycles. Table 5 also includes the Early Time Decay, T20, as an indicator of pathology [15,16]. T20 represents the time for which the sound energy decreases to 20 dB from the total energy.…”

Section: Resultsmentioning

confidence: 99%