Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals. Issue 9 (1st June 2015)

• Record Type: Journal Article
• Authors: Pachori, Ram Bilas; Avinash, Pakala; Shashank, Kora; Sharma, Rajeev; Acharya, U. Rajendra
• Is Part Of: Expert systems with applications. Volume 42:Issue 9(2015)
• Page Start: 4567
• Page End: 4581
• Publication Date: 2015-06-01
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2015.01.051
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st060">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0230">We propose new features for analysis of normal and diabetic RR-interval signals.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0235">Features are extracted from intrinsic mode functions of RR-interval signals.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0240">Two unique visual plots are proposed for diagnosis of diabetes.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0245">Proposed features are suitable for discrimination of normal and diabetic classes.</p> </list-item> </list> </p> </sec> </abstract>