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Detection of vascular conditions using arterial pressure waveform data

A technology of waveform data and arterial pressure, applied in medical data mining, vascular assessment, patient-specific data, etc.

Active Publication Date: 2012-03-21
EDWARDS LIFESCIENCES CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Few hospitals therefore do not have some form of instrumentation for monitoring one or more cardiac parameters that is intended to provide warning that a subject is experiencing changes in one or more parameters

Method used

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  • Detection of vascular conditions using arterial pressure waveform data
  • Detection of vascular conditions using arterial pressure waveform data
  • Detection of vascular conditions using arterial pressure waveform data

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Embodiment Construction

[0017] A multivariate statistical model for detecting a vascular state, a method for creating such a multivariate statistical model, and a method for detecting a subject's vascular state using the multivariate statistical model are described. Vascular states may include different cardiovascular hemodynamic states and conditions such as, for example, vasodilation, vasoconstriction, states where peripheral pressure / flow is separated from central pressure / flow, peripheral arterial pressure versus central A state of disproportionate arterial pressure and a state in which peripheral arterial pressure is lower than central aortic pressure.

[0018] The model described here for detecting vessel status is a multivariate statistical model. This multivariate statistical model is based on arterial pressure waveform data from a first group of subjects experiencing a particular vascular state and arterial pressure waveform data from a second group of subjects not experiencing the same vasc...

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Abstract

Multivariate statistical models for the detection of vascular conditions, methods for creating such multivariate statistical models, and methods for the detection of vascular condition in a subject using the multivariate statistical models are described. The models are created based on arterial pressure waveform data from a first group of subjects that were experiencing a particular vascular condition and a second group of subjects that were not experiencing the same vascular condition. The multivariate statistical models are set up to provide different output values for each set of input data. Thus, when data from a subject under observation is input into the model, the relationship of the model output value to the established output values for the two groups upon which the model was established will indicate whether the subject is experiencing the vascular condition.

Description

Background technique [0001] Such as stroke volume (SV), cardiac output (CO), ventricular end-diastolic volume, ejection fraction, stroke volume variation (SVV), pulse pressure variation (PPV), and systolic pressure variation (SPV) Such indicators are important not only for the diagnosis of disease but also for "real-time", ie continuous monitoring of clinically important changes in subjects. For example, healthcare providers are interested in changes in preload-dependence, fluid responsiveness, and volume responsiveness in both human and animal subjects. Few hospitals therefore do not have some form of instrumentation for monitoring one or more cardiac parameters that is intended to provide warning that a subject is experiencing changes in one or more parameters. Many techniques including invasive techniques, non-invasive techniques and combinations thereof are in use and have even been proposed in the literature. Contents of the invention [0002] Multivariate statistical...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/02A61B5/022
CPCA61B5/02028A61B5/412A61B5/021A61B5/02108G16H50/50G16H50/70G16H10/60
Inventor F·哈迪布L·D·罗特里克
Owner EDWARDS LIFESCIENCES CORP
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