Entropy Measures of Irregularity and Complexity for Surface Electrocardiogram Time Series in Patientswith Congestive Heart Failure
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 332
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شناسه ملی سند علمی:
JR_JACR-6-4_001
تاریخ نمایه سازی: 16 شهریور 1395
چکیده مقاله:
Congestive heart failure (CHF) remains to be one of the major cardiovasculardisorders in the world. Due to the prevalence of CHF related issues, it is prudent toseek out new prognostic predictors that would facilitate the prevention, monitoring,and treatment of the disease on a daily basis. A detection approach using entropymeasures extracted from surface electrocardiograms (ECGs) and classification forcongestive heart failure (CHF) is presented in this paper. Four different entropiesare used: approximate entropy (ApEn), sample entropy (SampEn), permutationentropy (PE), and energy entropy (EE). These entropies are employed to evaluatethe irregularity and complexity of ECG time series and discuss the viability ofrecognizing CHF patients from normal subjects. Student's t-tests and receiveroperating characteristic (ROC) plots show that among the four entropies, EEoutperforms other three entropies. These tests also indicate the feasibility of usingsurface ECGs to effectively discriminate CHF patients from normal subjects.
کلیدواژه ها:
Complexity ، Congestive heart failure ، Energy Entropy ، Irregularity ، Surface Electrocardiogramongestive occurs when heart cannot effectively supply blood forturn decreases the cardiac mechanical functionalityDespite numerous recentCHF has been difficult to manage with in clinicalhigh [1]. Due to the prevalence of CHF relatedThe majority of the studiesmeasures for the detection and prognosis of the diseasesurface ECG characteristic and/or morphology forsymbolic dynamics01 ، Accepted: 2014/12/07ofreceiverentropies ، EEof usingElectrocardiogram
نویسندگان
Chandrakar Kamath
Shantha Nilaya, ۱۰۷, Ananthnagar, Manipal, India