TY - JFULL AU - V. I. Thajudin Ahamed and P. Dhanasekaran and Paul Joseph K. PY - 2008/2/ TI - Differentiation of Heart Rate Time Series from Electroencephalogram and Noise T2 - International Journal of Electrical and Computer Engineering SP - 154 EP - 158 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/15294 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 13, 2008 N2 - Analysis of heart rate variability (HRV) has become a popular non-invasive tool for assessing the activities of autonomic nervous system. Most of the methods were hired from techniques used for time series analysis. Currently used methods are time domain, frequency domain, geometrical and fractal methods. A new technique, which searches for pattern repeatability in a time series, is proposed for quantifying heart rate (HR) time series. These set of indices, which are termed as pattern repeatability measure and pattern repeatability ratio are able to distinguish HR data clearly from noise and electroencephalogram (EEG). The results of analysis using these measures give an insight into the fundamental difference between the composition of HR time series with respect to EEG and noise. ER -