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Wavelet-based fundamental heart sound recognition method using morphological and interval features
- Source :
- Healthcare Technology Letters (2018)
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- Accurate and reliable recognition of fundamental heart sounds (FHSs) plays a significant role in automated analysis of heart sound (HS) patterns. This Letter presents an automated wavelet-based FHS recognition (WFHSR) method using morphological and interval features. The proposed method first performs the decomposition of phonocardiogram (PCG) signal using a synchrosqueezing wavelet transform to extract the HSs and suppresses the murmurs, low-frequency and high-frequency noises. The HS delineation (HSD) is presented using Shannnon energy envelope and amplitude-dependent thresholding rule. The FHS recognition (FHSR) is presented using interval, HS duration and envelope area features with a decision-rule algorithm. The performance of the method is evaluated on PASCAL HSs Challenge, PhysioNet/CinC HS Challenge, eGeneralMedical databases and real-time recorded PCG signals. Results show that the HSD approach achieves an average sensitivity (Se) of 98.87%, positive predictivity (Pp) of 97.50% with detection error rate of 3.67% for PCG signals with signal-to-noise ratio of 10 dB, and outperforms the existing HSD methods. The proposed FHSR method achieves a Se of 99.00%, Sp of 99.08% and overall accuracy of 99.04% on both normal and abnormal PCG signals. Evaluation results show that the proposed WFHSR method is able to accurately recognise the S1/S2 HSs in noisy real-world PCG recordings with murmurs and other abnormal sounds.
- Subjects :
- medical signal processing
phonocardiography
wavelet transforms
feature extraction
eGeneralMedical databases
PhysioNet/CinC HS Challenge
PASCAL HSs Challenge
decision-rule algorithm
amplitude-dependent thresholding rule
Shannnon energy envelope
HS delineation
high-frequency noises
low-frequency noises
murmurs
synchrosqueezing wavelet transform
PCG signal
phonocardiogram
WFHSR method
HS patterns
interval features
morphological features
wavelet-based fundamental heart sound recognition method
Medical technology
R855-855.5
Subjects
Details
- Language :
- English
- ISSN :
- 20533713
- Database :
- Directory of Open Access Journals
- Journal :
- Healthcare Technology Letters
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.5327e12e3945ae80bab4b6a7a936ec
- Document Type :
- article
- Full Text :
- https://doi.org/10.1049/htl.2016.0109