文章基本信息

标题：Precise Enumeration of Circulating Tumor Cells Using Support Vector Machine Algorithm on a Microfluidic Sensor
作者：Jinhong Guo ; Zhi Chen ; Yong-Ling Ban 等
期刊名称：IEEE Transactions on Emerging Topics in Computing
印刷版ISSN：2168-6750
出版年度：2017
卷号：5
期号：4
页码：518-525
DOI：10.1109/TETC.2014.2335539
出版社：IEEE Publishing
摘要：Smart hospital is believed to be a promising technology and platform that could tremendously improve healthcare in the future. This technology is featured by a front sensor to collect the relevant biomedical data to help the doctor analyze the patient's condition and make diagnostic decisions. Precise analysis of these data is critical to improve the reliability of diagnostic methods. In this paper, we demonstrate a microfluidic impedance cytometer based on a solid-state micropore for the detection and enumeration of cancer cells from the red blood cells. The two important parameters of the signal pulses, including the peak amplitude and the pulse bandwidth, were analyzed by the support vector machine (SVM) algorithm to classify all the cell events into two different subpopulations accurately. The proposed microfluidic sensor combined with the SVM algorithm can provide a promising platform, which may be used for construction of sensor network in smart hospital.
关键词：Smart hospital;robust diagnosis;microfluidic;impedance;micropore;support vector machine