Exploring the Stationary Wavelet Transform Detail Coefficients for Detection and Identification of the S1 and S2 Heart Sounds

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Marques, N (Author) Other; Rute Almeida (Author) FCUP; Ana Paula Rocha (Author) FCUP; Coimbra, M (Author) FCUP

Conference proceedings International

Title: 2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)

Pages: 891-894

40th Annual Meeting on Computing in Cardiology (CinC)

Zaragoza, SPAIN, SEP 22-25, 2013

Indexing

ISI Web of Knowledge - 10 Citations

Scopus - 12 Citations

Scientific classification

FOS: Engineering and technology > Environmental biotechnology

Other information

Authenticus ID: P-009-5YF

Abstract (EN): Most work done in Heart Sound Segmentation approaches use a threshold-based approach to correctly identify S1 and S2 segments in a given signal. We propose a new method that uses the Stationary Wavelet Transform to segment the signal and hierarchical clustering to distinguish the S1 and S2 heart sound from noise. This approach was tested in the Classifying Heart Sounds PASCAL Challenge datasets and achieved better results than the winning approach of this contest, with a total error redcution of 21% and 43% for Digiscope and iStethoscope in test sets, respectively.

Language: English

Type (Professor's evaluation): Scientific