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PCG Classification Using Multidomain Features and SVM Classifier.
Tang H, Dai Z, Jiang Y, Li T, Liu C. Tang H, et al. Biomed Res Int. 2018 Jul 9;2018:4205027. doi: 10.1155/2018/4205027. eCollection 2018. Biomed Res Int. 2018. PMID: 30112388 Free PMC article.
This paper proposes a method using multidomain features and support vector machine (SVM) for classifying normal and abnormal heart sound recordings. The database was provided by the PhysioNet/CinC Challenge 2016. ...This score is competitive to the bes …
This paper proposes a method using multidomain features and support vector machine (SVM) for classifying normal and abnormal heart …
Time-frequency analysis of foetal heart sound signal for the prediction of prenatal anomalies.
Mittra AK, Choudhari NK. Mittra AK, et al. J Med Eng Technol. 2009;33(4):296-302. doi: 10.1080/03091900802454384. J Med Eng Technol. 2009. PMID: 19384705
The outcome of the work is a numerous spectral display produced by the system for varied real and simulated foetal heart sound signals. A comparative study of normal and abnormal heart sound is presented. The spectrograms exhibit noticeable morphological diff …
The outcome of the work is a numerous spectral display produced by the system for varied real and simulated foetal heart sound signals. A co …