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Heart rate variability (HRV) and heart rate turbulence (HRT) have been studied extensively in systolic heart failure (HF).
Abnormal heart rate turbulence occurs when the heart can't compensate in this way.
Abnormal heart rate turbulence is associated with an increased risk of heart disease death in otherwise low-risk older individuals, according to a study funded by the National Heart, Lung, and Blood Institute (NHLBI), part of the National Institutes of Health.
Georg Schmidt, Munich University of Technology, Germany, concluded Heart Rate Turbulence (HRT) to be a good predictor of death among heart attack survivors, especially when combined with Schmidt's patented Deceleration Capacity (DC) value.
Some heart rate parameters such as heart rate turbulence and HRV are more useful in stratifying cardiovascular risk than in evaluating a given patient's clinical status (13, 14).
GE's two new breakthrough algorithms - the Marquette(R) T-Wave Alternans algorithm and the Marquette(R) Heart Rate Turbulence algorithm - when inputted with ambulatory electrocardiography (ECG) data have been shown to help predict if a person is at risk for SCD.
Heart rate turbulence (HRT), which reflects the response of heart rate to a premature ventricular beat (PVB), has been introduced as a new noninvasive tool for cardiac risk stratification.
heart rate variability, QT/RR slope and heart rate turbulence, have been used for a long time (3).