Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

ICU Continuous Monitoring Data Analysis Based on Online Segmentation Algorithm

Authors
Yongfei Chen, Bugao Zhou
Corresponding Author
Yongfei Chen
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.140How to use a DOI?
Keywords
Segmentation algorithm; Intensive care; Continuous monitoring; Ant colony distribution; VB software; Cloud
Abstract
In order to improve the comfort of ill patients admitted during the ICU, reduce the pain caused by various operations, improve the efficiency of data monitoring in ICU and analyze the sample data, this paper puts forward a kind of continuous data analysis algorithm based on online segmentation. Through the statistics of 3000 patients pain data samples in ICU, this paper obtains the ant colony distribution of pain level data, and uses VB software to segment ant data with different coefficients, finally gets the pain level 3D cloud for different levels, which provides a theoretical basis for the study on electronic equipment used in ICU.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.140How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yongfei Chen
AU  - Bugao Zhou
PY  - 2015/04
DA  - 2015/04
TI  - ICU Continuous Monitoring Data Analysis Based on Online Segmentation Algorithm
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.140
DO  - https://doi.org/10.2991/amcce-15.2015.140
ID  - Chen2015/04
ER  -