Why the study?
Does non-linear heart rate variability analysis of short RR interval series reveal abnormalities in autonomic function in patients with heart disease compared to healthy subjects?
Does non-linear heart rate variability analysis of short RR interval series reveal abnormalities in autonomic function in patients with heart disease compared to healthy subjects?
Non-linear HRV analysis of short RR interval series during postural changes can effectively detect altered autonomic control and reduced complexity in patients with heart failure and coronary artery disease.
Non-linear HRV during standing may identify autonomic dysregulation in cardiac disease; leaves open prognostic value and clinical utility pending prospective validation.
New analytic methods based on nonlinear system theory have been developed to characterize the nonlinear features in HR dynamics. It is known from long time series (24h ECG recordings) that patients with chronic heart failure or stable coronary heart disease have altered fractal organization in heartbeat dynamics.
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Laurent Mourot (2014) studied this question.
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