Positioning Algorithm for Arterial Blood Pressure Pneumatic Sensor

The paper is devoted to the algorithmic solution of quality control over the pneumatic blood pressure sensor positioning. Previously, this problem was solved by the operator based on his subjective assessment of the presence/absence of a pulse wave in the observed signal and its quality estimation. Recent studies have led us to a simple algorithm for automatically evaluating the accuracy of positioning. The algorithm is based on the value of the variability of the intervals of side peaks that the multiscale autocorrelation function can manifest as part of its structure. Since this value is closely related to such a characteristic of the signal as its quasi–periodicity, the algorithm essentially estimates the degree of periodicity of the signal, which is high in the presence of a pulse wave and small in its absence. In addition to the general principle of quasi–periodicity estimation much empirical information has been accumulated on the necessary preliminary normalization of the signal, the censorship of the side peaks to be considered, on the numerical values of the comparison thresholds, etc. The main ideas of the algorithm are illustrated by examples of processing real data obtained by positioning the developed pneumatic sensor.