NDLI: Utilizing histogram to identify patients using pressors for acute hypotension

Content Provider	IEEE Xplore Digital Library
Author	Ho, T.C.T. Chen, X.
Copyright Year	2009
Description	Author affiliation: Institute for Infocomm Research, Singapore (Ho, T.C.T.; Chen, X.)
Abstract	In our approach, we propose to process the mean arterial pressure recordings like a signal but yet do analysis like an image in order to differentiate recordings from patients using pressors to treat their acute hypotension and from patients with no such conditions. Mean arterial pressure values recorded over time is numerical representations over time and hence signal processing techniques can be used to on such recordings for filtering purposes. Onset of hypotension in a prerecorded reading, characterized by exhibiting 90% low mean arterial pressures values anytime within a 30 minutes window, is similar to images exhibiting certain percentage of colours within its draw space. Hence, it can be pattern-matched similarly in image processing using histograms. By combining the 2 methods together, we are able to differentiate the 2 groups of patients for the first event of the Physionet/Computers in Cardiology Challenge 2009.
Starting Page	797
Ending Page	800
File Size	340123
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Histograms Blood pressure Signal processing Hypertension Image processing Cardiology Image analysis Signal analysis Medical treatment Filtering
Content Type	Text
Resource Type	Article

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