Wavelet-based fundamental heart sound recognition method using morphological and interval features
[摘要] 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.
[发布日期] [发布机构]
[效力级别] [学科分类] 肠胃与肝脏病学
[关键词] 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 [时效性]
