Paper Info
Title
Hemodynamic Features Extraction from a New Arterial Pressure Waveform Probe.
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. Average 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.
Year
Venue
Keywords
2011
BIOSIGNALS 2011
Arterial pressure waveform,First derivative,Pulse contour analysis,Systolic peak,Dicrotic notch,Dicrotic peak and reflection point
Field
DocType
Citations 
Hemodynamics,Computer vision,Computer science,Waveform,Blood pressure,Artificial intelligence
Conference
1
PageRank 
References 
Authors
0.48
0
8
Name
Order
Citations
PageRank
Vânia Almeida175.10
P. Santos210.48
Edite Figueiras394.79
Elisabeth Borges463.75
Tânia Pereira5248.61
João Cardoso6107.92
A. Correia7198.62
Helena Catarina Pereira896.17