文章基本信息

标题：A Novel Approach for Deriving a Patient Specific Beat-to-Beat Estimate of the Cardiac Driver Function
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作者：Shaun M. Davidson ; D. Oliver Kannangara ; Chris G. Pretty 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：20
页码：348-353
DOI：10.1016/j.ifacol.2015.10.164
语种：English
出版社：Elsevier
摘要：AbstractCardiac driver functions, used to model elastance changes that drive heart contraction, have significance both in the context of larger models and independently as a means of deriving important metrics such as the End Systolic Pressure Volume Relationship (ESPVR). This paper describes an approach for deriving the driver function on a beat-to-beat basis using a combination of strong correlations (R > 0.97) to readily measured aortic pressure waveform features and population constants assessed across a development cohort of 3 porcine specimens (62350 heartbeats). This approach was then validated over an independent test cohort of 4 porcine specimens (54410 heartbeats) and found to decrease the normalised area-under-the-curve error to a median of 18.0% compared to 41.0% when using only population constant values. This approach has the potential to provide further, real-time, patient specific information about the internal dynamics of the heart without requiring additional, invasive instrumentation of patients.
关键词：KeywordsBiological and medical system modellingCardiovascular systemDecision support systems