Notice of RetractionAnalysis of complexity measures of the heart rate variability signals collected from cardiovascular patients

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The aim is to characterize the effects of cardiovascular on heart rate variability(HRV) by the nonlinear dynamical parameter complexity measure of the HRV signal. The method is that the electro-cardiogram signals of 20 normal samples and 107 various patient samples are collected. Based on the preprocessing for the raw data, the HRV signals of all samples are extracted from electrocardiogram signals. The third-order complexity measure is determined as a parameter to describe the HRV signals. All complexity measures of samples are calculated. The result is when the confidence degree is 0.05, the confidence interval of the normal population mean of complexity measures for the normal group is (0.5224, 0.5934), and (0.4539, 0.4984) for hypertension patient group, (0.4423, 0.5092) for coronary patient group, (0.4229, 0.5336) for hypertension complicated with coronary patient group and (0.3933, 0.5372) for heart failure patient group. By the statistic results, the normal group and patient groups can be clearly distinguished by the values of complexity measure of HRV signals. In conclusion, the result can be used to be a reference to evaluate the function or state, and to diagnosis disease, and to monitor the rehabilitation progress of the cardiovascular systems in clinical medicine.