NDLI: Online ICP forecast for patients with traumatic brain injury

Content Provider	IEEE Xplore Digital Library
Author	Feng Zhang Mengling Feng Loy, L.Y. Zhuo Zhang Cuntai Guan
Copyright Year	2012
Description	Author affiliation: Institute for Infocomm Research, A∗STAR, Singapore (Feng Zhang; Mengling Feng; Loy, L.Y.; Zhuo Zhang; Cuntai Guan)
Abstract	Traumatic brain injury (TBI) endangers many patients and lays great burden on the neural intensive-care units in the whole world. To improve the outcome of TBI patients, it is desirable to forecast the intracranial Pressure (ICP) so to enable timely or early interventions to control the ICP level. Past research mainly focused on ICP pulse morphology analysis and ICP waveform forecast, but results were not satisfactory. In this paper, to forecast ICP continuous trends, we propose an autoregressive integrated moving average (ARIMA) ICP forecast online application with orders selection predicated on autocorrelation function (ACF) and partial autocorrelation function (PACF). Results show that the accuracy of ICP forecast improves significantly with our forecast model, compared with ARIMA based on Akaike information criterion (AIC) and artificial neural network approach. Besides, the forecast processing time of ARIMA model predicated on PACF and ACF is much shorter than ANN and ARIMA predicated on AIC.
Starting Page	37
Ending Page	40
File Size	230735
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Iterative closest point algorithm Predictive models Autoregressive processes Artificial neural networks Market research Correlation Accuracy
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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