2018, Number 1
Algorithm for the detection of clinical points of interest of the arterial pulse wave
Carrazana-Escalona R, Ricardo-Ferro BT, Fernández-de la Vara PRR, Sánchez-Hechavarría ME
Language: Spanish
References: 0
Page: 40-48
PDF size: 265.32 Kb.
ABSTRACT
Introduction: The application of methods for the detection of clinical points of interest of the pulse wave allows obtaining parameters such as the index of vascular rigidity and reflection that facilitate the evaluation of the vascular effects of aging, hypertension and atherosclerosis. For this reason, the appropriate localization of the onset, systolic peak, dicrotic notchs and the diastolic peak of the arterial pulse wave is necessary. Objective: To develop an algorithm for the localization of the onset, systolicpeak, dicrotic notchs and the diastolic peak of the arterial pulse wave. Method: The presented algorithm uses the first derivative linked to mobile conditionals to eliminate unwanted points, as well as unreliable intervals. The algorithm was evaluated using the annotation of an expert, with 5 records of arterial pulse wave of 5 minutes (5236 annotations) and contaminated at different signal-to-noise ratios (15, 12 and 9 dB). Results: When compared with the annotations of an expert, the algorithm detected these fiducial points with an average sensitivity, positive predictivity and 100% accuracy and showed errors of less than 10ms. In arterial pulse wave signals contaminated with noise in both cases the relative error was less than 2% with respect to a sampling period of 800ms. Conclusions: the algorithm provides a simple but accurate detection of the clinicalpoints of interest of the arterial pulse wave, robust to noise and movement artifacts that could be used in the evaluation of the stiffness index and vascular reflection.