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Method and system for detecting artifacts in ICU patient records by data fusion and hypothesis testing

A technique for hypothesis testing and artifacts, applied in the field of expert systems

Inactive Publication Date: 2007-02-14
KONINKLIJKE PHILIPS ELECTRONICS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Accordingly, the present invention is directed to solving the problem of developing a method and apparatus for reducing the amount of information that must be manually processed in an intensive care setting or other healthcare setting

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  • Method and system for detecting artifacts in ICU patient records by data fusion and hypothesis testing
  • Method and system for detecting artifacts in ICU patient records by data fusion and hypothesis testing
  • Method and system for detecting artifacts in ICU patient records by data fusion and hypothesis testing

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Embodiment Construction

[0014] Any reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment.

[0015] The present invention specifically provides a method for utilizing a system composed of intelligent modules capable of assimilating multiple data streams originating from a wide array of sensors and systems and capable of distinguishing clinically significant changes in patient status from clinically insignificant means of changing or artifacting. The present invention includes a data flow fusion method which realizes multi-parameter monitoring capability.

[0016] According to one aspect of the invention, the invention also includes a method for detecting artifacts in a given monitored si...

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Abstract

A method for monitoring a patient employs hypothesis testing against each of several monitored signals to determine whether an artifact is present in the monitored signals. In the hypothesis testing, a null hypothesis includes an assumption that pairs of samples of highly correlated monitored signals of the several monitored signals have a predetermined distribution. The method determines that an artifact may exist in one of the monitored signals when the likelihood that the null hypothesis is true falls below a predetermined confidence value. This method can be embodied in an intelligent module for processing multiple data from one or more patients to filter out clinically significant changes in the patient from those changes caused by artifacts.

Description

technical field [0001] The present invention relates generally to expert systems, and more particularly to expert systems for use in evaluating data from patients. Background technique [0002] Healthcare technologies (e.g., biomedical sensors, monitoring systems, and medical devices) are rapidly advancing in performance and overall ubiquity (many devices) in the modern intensive care unit (ICU). The creation of additional data streams is imposing significant "information overload" challenges on healthcare workers, who are also faced with a critical shortage of intensive care staff to meet the needs of ICU patient populations. Contents of the invention [0003] The present invention therefore aims to solve the problem of developing a method and a device for reducing the amount of information that has to be manually processed in an intensive care setting or other healthcare setting. [0004] The present invention solves this and other problems by providing a method and app...

Claims

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Application Information

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IPC IPC(8): G06K9/00A61B5/02G06F19/00
CPCG06K9/00503G06F18/00G06F2218/02
Inventor W·阿利
Owner KONINKLIJKE PHILIPS ELECTRONICS NV
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