ICU Continuous Monitoring Data Analysis Based on Online Segmentation Algorithm
Yongfei Chen, Bugao Zhou
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.140How to use a DOI?
- Segmentation algorithm; Intensive care; Continuous monitoring; Ant colony distribution; VB software; Cloud
- 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.
- 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 -