A real-time algorithm for the quantification of blood pressure waveforms

A real-time algorithm for quantification of biological oscillatory signals, such as arterial blood pressure (BP) is proposed which does not require user intervention and works on waveforms complicated by rapid changes in the mean level, frequency, or by the presence of arrhythmia. The algorithm is b...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2002-07, Vol.49 (7), p.662-670
Main Authors: Navakatikyan, M.A., Barrett, C.J., Head, G.A., Ricketts, J.H., Malpas, S.C.
Format: Article
Language:English
Subjects:
Algorithms
Amplitude estimation
Animals
Arterial blood pressure
Autonomic Nervous System - physiology
Band pass filters
Baroreflex - physiology
Biological and medical sciences
Blood pressure
Blood Pressure Determination - methods
Blood Pressure Determination - statistics & numerical data
Filter bank
Frequency
Heart Rate - drug effects
Heart Rate - physiology
Medical sciences
Nasopharynx - physiology
Nitroprusside - pharmacology
Phenylephrine - pharmacology
Position measurement
Pulse measurements
Rabbits
Reflex - physiology
Signal analysis
Signal processing
Signal Processing, Computer-Assisted
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Summary:A real-time algorithm for quantification of biological oscillatory signals, such as arterial blood pressure (BP) is proposed which does not require user intervention and works on waveforms complicated by rapid changes in the mean level, frequency, or by the presence of arrhythmia. The algorithm is based on the continous independent assessment of the refractory period (RP). In the first stage, a sample of the signal is band-pass filtered. During the next stage: 1) the local maxima in the filtered signal are identified and their pulse amplitudes (PA) measured on the side opposite to the possible notch position and 2) those maxima whose PA exceeds some threshold are selected and an array of RP values is formed as a fraction of the moving estimate of the interval between successive selected peaks. Finally, the original signal is analyzed by means of two moving averages (MAs) with short and long averaging time intervals. The true peaks are determined as the maxima between intersections of MAs if the peak-to-peak or the intersection-to-intersection intervals since the previous peak and the previous intersection exceed the R.P. The algorithm proved to be superior against three commercially available heartbeat detectors yielding an error rate of 0.09%.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2002.1010849