Analysis of PCG signals using quality assessment and homomorphic filters for localization and classification of heart sounds

•Quality of the signal has been assessed in time-frequency domain on the basis of three criteria based upon statistical features of PCG signals prior to any processing in order to remove noisy and corrupted signals.•Accurate localization of S1 and S2 has been done on the basis of homomorphic filteri...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2018-10, Vol.164, p.143-157
Hauptverfasser:	Mubarak, Qurat-ul-Ain, Akram, Muhammad Usman, Shaukat, Arslan, Hussain, Farhan, Khawaja, Sajid Gul, Butt, Wasi Haider
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cardiovascular diseases Cardiovascular Diseases - diagnosis Cardiovascular Diseases - physiopathology Classification Databases, Factual - statistics & numerical data Diagnosis, Computer-Assisted - statistics & numerical data Feature extraction Heart Rate Heart Sounds Humans Localization Pascal classifying heart sound challenge PCG Phonocardiography - standards Phonocardiography - statistics & numerical data Quality assessment Quality Control Segmentation Signal Processing, Computer-Assisted Signal-To-Noise Ratio SVM
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