Precise Enumeration of Circulating Tumor Cells Using Support Vector Machine Algorithm on a Microfluidic Sensor
Smart Hospital is believed to be a promising technology and platform that could tremendously improve the 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 condition and make diagnostic decision. 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 sub-populations 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.
Yuejun Kang, "Precise Enumeration of Circulating Tumor Cells Using Support Vector Machine Algorithm on a Microfluidic Sensor", IEEE Transactions on Emerging Topics in Computing, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/TETC.2014.2335539