Performance of a real-time dicrotic notch detection and prediction algorithm in arrhythmic human aortic pressure signals

Andrea Donelli, Jos R C Jansen, Bas Hoeksel, Paolo Pedeferri, Ramzi Hanania, Jan Bovelander, Francesco Maisano, Alessandro Castiglioni, Ottavio Alfieri, Jan J. Schreuder

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

A novel algorithm for real-time detection and prediction of the dicrotic notch from aortic pressure waves was evaluated in arrhythmic aortic pressure signals from heart failure patients. A simplified model of the arterial tree was used to calculate real-time aortic flow from aortic pressure. The dicrotic notch was detected at the first negative dip from the calculated flow, prediction of the notch was performed using a percentage of the decreasing flow. The performance of the real-time dicrotic notch detection algorithm (RTDND) was evaluated during severe arrhythmia from aortic pressure signals of 12 patients. The RTDND was able to detect the dicrotic notch in 98.1%. No false positive dicrotic notch identifications were observed. Prediction of the dicrotic notch was tested at 40%, 20%, and 0% of the decreasing calculated aortic flow. The mean time-delays to the notch were 68 ± 14 ms, 55 ± 12 ms, and 43 ± 8 ms, respectively. Given these small variability, intra-beat prediction of the dicrotic notch may be used for real-time intra-aortic balloon counterpulsation inflation timing.

Original languageEnglish
Pages (from-to)181-185
Number of pages5
JournalJournal of Clinical Monitoring and Computing
Volume17
Issue number3-4
DOIs
Publication statusPublished - 2002

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Arterial Pressure
Counterpulsation
Economic Inflation
Cardiac Arrhythmias
Heart Failure

Keywords

  • Dicrotic notch
  • IABP
  • Windkessel model

ASJC Scopus subject areas

  • Anesthesiology and Pain Medicine
  • Health Informatics
  • Health Information Management

Cite this

Donelli, A., Jansen, J. R. C., Hoeksel, B., Pedeferri, P., Hanania, R., Bovelander, J., ... Schreuder, J. J. (2002). Performance of a real-time dicrotic notch detection and prediction algorithm in arrhythmic human aortic pressure signals. Journal of Clinical Monitoring and Computing, 17(3-4), 181-185. https://doi.org/10.1023/A:1020737232676

Performance of a real-time dicrotic notch detection and prediction algorithm in arrhythmic human aortic pressure signals. / Donelli, Andrea; Jansen, Jos R C; Hoeksel, Bas; Pedeferri, Paolo; Hanania, Ramzi; Bovelander, Jan; Maisano, Francesco; Castiglioni, Alessandro; Alfieri, Ottavio; Schreuder, Jan J.

In: Journal of Clinical Monitoring and Computing, Vol. 17, No. 3-4, 2002, p. 181-185.

Research output: Contribution to journalArticle

Donelli, A, Jansen, JRC, Hoeksel, B, Pedeferri, P, Hanania, R, Bovelander, J, Maisano, F, Castiglioni, A, Alfieri, O & Schreuder, JJ 2002, 'Performance of a real-time dicrotic notch detection and prediction algorithm in arrhythmic human aortic pressure signals', Journal of Clinical Monitoring and Computing, vol. 17, no. 3-4, pp. 181-185. https://doi.org/10.1023/A:1020737232676
Donelli, Andrea ; Jansen, Jos R C ; Hoeksel, Bas ; Pedeferri, Paolo ; Hanania, Ramzi ; Bovelander, Jan ; Maisano, Francesco ; Castiglioni, Alessandro ; Alfieri, Ottavio ; Schreuder, Jan J. / Performance of a real-time dicrotic notch detection and prediction algorithm in arrhythmic human aortic pressure signals. In: Journal of Clinical Monitoring and Computing. 2002 ; Vol. 17, No. 3-4. pp. 181-185.
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