Authors:
V. G. Almeida
1
;
P. Santos
1
;
E. Figueiras
1
;
E. Borges
1
;
T. Pereira
1
;
J. Cardoso
1
;
C. Correia
1
and
H. C. Pereira
2
Affiliations:
1
University of Coimbra, Portugal
;
2
University of Coimbra and ISA- Intelligent Sensing Anywhere, Portugal
Keyword(s):
Arterial pressure waveform, First derivative, Pulse contour analysis, Systolic peak, Dicrotic notch, Dicrotic peak and reflection point.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Cardiovascular Signals
Abstract:
In this work, we discuss an algorithm that reliable and accurately identifies the prominent points of the cardiac cycle: the systolic peak (SP), reflection point (RP), dicrotic notch, (DN) and dicrotic peak (DP). The prominent point’s identifier algorithm (PPIA) action is based on the analysis a number of features of the arterial pressure waveform and its first derivative, and is part of the fundamental software analysis pack for a new piezoelectric probe designed to reproduce the arterial pressure waveform from the pulsatile activity taken non-invasively at the vicinity of a superficial artery. The output PPIA is the coordinates (in time and amplitude) of the above referred points. To assess the accuracy of the algorithm, a reference database of 173 pulses from eight volunteers, was established and the values yielded by the PPIA were compared to annotations from a human expert engineer (HEE). The quality of the results is statistically quantified either in time as in amplitude. Aver
age values of 4.20% for error, 99.09% for sensitivity and 96.77% for positive predictive value were found to be associated to time information while amplitude yields averages of 2.68%, 99.08% and 98.22%, respectively, for the same parameters.
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