Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals. Issue 7 (1st May 2015)

• Record Type: Journal Article
• Authors: Patidar, Shivnarayan; Pachori, Ram Bilas; Garg, Niranjan
• Is Part Of: Expert systems with applications. Volume 42:Issue 7(2015)
• Page Start: 3315
• Page End: 3326
• Publication Date: 2015-05-01
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2014.11.046
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st055">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0225">We propose a new method for diagnosis of septal defects using TQWT.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0230">New feature set based on SAMDF derived from TQWT has been proposed.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0235">The effects of <italic>Q</italic> and decomposition levels on classification performance have been evaluated.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0240">Results have been evaluated with classification performance evaluation parameters and ROC graphs.</p> </list-item> <list-item id="u0025"> <label></label> <p id="p0245">Performance has been compared with existing TQWT based method with same datasets.</p> </list-item> </list> </p> </sec> </abstract>