Accurate end systole detection in dicrotic notch-less arterial pressure waveforms.
Identification of end systole is often necessary when studying events specific to systole or diastole, for example, models that estimate cardiac function and systolic time intervals like left ventricular ejection duration. In proximal arterial pressure waveforms, such as from the aorta, the dicrotic...
| Published in: | Journal of Clinical Monitoring & Computing Vol. 35; no. 1; pp. 79 - 89 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Feb2021
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=148784519&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 148784519 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13871307 OHC jtl: Journal of Clinical Monitoring & Computing issn: 13871307 maglogo: N pubinfo: dt: Feb2021 vid: 35 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 148784519 143927217 148784519 NLM32048103 10.1007/s10877-020-00473-3 NLM32048103 148784519 ppf: 79 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Accurate end systole detection in dicrotic notch-less arterial pressure waveforms. aug: au: Balmer, Joel Smith, Rachel Pretty, Christopher G. Desaive, Thomas Shaw, Geoff M. Chase, J. Geoffrey affil: Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand sug: subj: Arteries Arterial Pressure Hemodynamics Diagnosis, Cardiovascular Blood Pressure Animals Systole Swine Funding Source Human ab: Identification of end systole is often necessary when studying events specific to systole or diastole, for example, models that estimate cardiac function and systolic time intervals like left ventricular ejection duration. In proximal arterial pressure waveforms, such as from the aorta, the dicrotic notch marks this transition from systole to diastole. However, distal arterial pressure measures are more common in a clinical setting, typically containing no dicrotic notch. This study defines a new end systole detection algorithm, for dicrotic notch-less arterial waveforms. The new algorithm utilises the beta distribution probability density function as a weighting function, which is adaptive based on previous heartbeats end systole locations. Its accuracy is compared with an existing end systole estimation method, on dicrotic notch-less distal pressure waveforms. Because there are no dicrotic notches defining end systole, validating which method performed better is more difficult. Thus, a validation method is developed using dicrotic notch locations from simultaneously measured aortic pressure, forward projected by pulse transit time (PTT) to the more distal pressure signal. Systolic durations, estimated by each of the end systole estimates, are then compared to the validation systolic duration provided by the PTT based end systole point. Data comes from ten pigs, across two protocols testing the algorithms under different hemodynamic states. The resulting mean difference ± limits of agreement between measured and estimated systolic duration, of [Formula: see text] versus [Formula: see text], for the new and existing algorithms respectively, indicate the new algorithms superiority. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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