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Accurate dicrotic notch detection using adaptive shear transforms
Balmer, J.; Pretty, C.; Amies, A. et al.
2018In IFAC-PapersOnLine, 51 (27), p. 74-79
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Keywords :
Bio-signals analysis; Biomedical systems; Cardiovascular system; Dicrotic notch; End systole; Start diastole; Blood vessels; Mammals; Biosignals; Fiber optic sensors
Abstract :
[en] Dicrotic notch detection in aortic pressure waveforms enables a reference in time, marking the transition from systole to diastole. Identification of the notch is useful in applications studying events specific to systole or diastole, for example, models that estimate cardiac function, and systolic time intervals such as left ventricular ejection time. The purpose of this study was to test a new dicrotic notch detection algorithm, against an existing end systole estimation method. The new algorithm utilises a shear transform, which is adaptive based on the shape of the aortic pressure waveform. To assess the accuracy of the two algorithms, 80 beats aortic pressure waveforms were used from four porcine pigs. The pigs were subjected to hemodynamic modification in order to test the algorithms on different waveforms shapes. The dicrotic notches were first found by eye in the 80 beats waveforms, and systolic time, from the start of the beat to the dicrotic notch, was the metric used to compare the accuracy of dicrotic notch locations. The new algorithm identifies features of the dicrotic notch when it is present and estimates the location when it is less clear, better than the existing method of end systole estimation. This result was evident in the mean difference between measured and estimated systolic times of 0.5ms vs 11.6ms, for the new algorithm and existing respectively. The new method also showed significantly less variation in its estimate than the existing method, across all pigs’ hemodynamic states. © 2018
Disciplines :
Anesthesia & intensive care
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Balmer, J.;  Department of Mechanical Engineering, University of Canterbury, New Zealand
Pretty, C.;  Department of Mechanical Engineering, University of Canterbury, New Zealand
Amies, A.;  Department of Mechanical Engineering, University of Canterbury, New Zealand
Desaive, Thomas  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Chase, J. G.;  Department of Mechanical Engineering, University of Canterbury, New Zealand
Language :
English
Title :
Accurate dicrotic notch detection using adaptive shear transforms
Publication date :
2018
Event name :
BMS 2018
Event date :
3-5 septembre 2018
Audience :
International
Journal title :
IFAC-PapersOnLine
ISSN :
2405-8971
eISSN :
2405-8963
Publisher :
Elsevier B.V.
Volume :
51
Issue :
27
Pages :
74-79
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 08 June 2020

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