Heart rate variability analysis using approximate entropy and detrended fluctuation for monitoring heart condition

Abstract

Variation in time between two successive heart beats occurring due to internal and external stimulation causes Heart Rate Variability (HRV). HRV is a tool for indirect investigation of both cardiac and autonomic system function in both healthy and diseased condition. It has been speculated that HRV analysis by nonlinear method might bring potentially useful prognosis information into light which will be helpful for assessment of cardiac condition. In this study, HRV from two types of data sets (normal sinus rhythm and sinus arrhythmia) are analyzed which are stored in MIT-BIH (Massachusetts Institute of Technology -Beth Israel hospital) database, an extended collection of recorded physiological signals. Then two nonlinear methods, approximate entropy (ApEn) and detrended fluctuation analysis (DFA), have been applied to analyze HRV of both Arrhythmia patients and people having normal sinus rhythm. It has been clearly shown that nonlinear parameters obtained from these two methods reflect the opposite heart condition of the two types of subjects under study, healthy and diseased, by HRV measures. Thus, value of the nonlinear parameters found in this work can be used as standard when treating suspected patients for diagnosis of Arrhythmia. Also, by measuring these nonlinear parameter values, heart condition can be understood.978-1-4799-0400-6/13/$31.00 ©2013 IEEE

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“… 25 A lower ApEn has been reported to be associated with postoperative ventricular dysfunction 25 and poor outcome in arrhythmia patients. 16 We suggest that decreased ApEn, especially during REM sleep, is a useful marker for predicting WMC in OSA patients.…”

“… 33 Several studies have shown that nonlinear indices are more effective than conventional indices for predicting the condition of the heart and the prognosis in cardiac patients. 15 16 25 34 Moreover, nonlinear indices are known to be less affected by artifacts, 23 which makes them more appropriate for use in OSA patients who intrinsically display many artifacts on the ECG due to recurrent arousals.…”

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