Algorithm for systolic peak detection of pulse wave

In this paper, a new method for systolic peak detection of pulse wave signals is presented. This method is based on the detection of each peak by the correlation with adaptive Gaussian function template (GFT). The point of maximum correlation is selected as a systolic peak. Its accuracy and noise robustness were evaluated over a set of annotated signals (arterial blood pressure) from CSL database. The GFT method showed an error respect to trained observers less than 5.5 ± 4.2 ms. Furthermore, this method has an error of 8.99 ± 25.09 ms for several noise realization at 9 dB of signal-noise ratio. The results suggest that this method could be used in the measurement of heart rate and pulse transit time, and in the study of autonomic function.