ICU Continuous Monitoring Data Analysis Based on Online Segmentation Algorithm

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 1169
EP  - 1174
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.140
DO  - 10.2991/amcce-15.2015.140
ID  - Chen2015/04
ER  -