Vital sign normalisation for improving performance of multi‐parameter patient monitors. Issue 25 (1st December 2015)

• Record Type: Journal Article
• Authors: Kumar, C.S.; Ramachandran, K.I.; Kumar, A.A.
• Is Part Of: Electronics letters. Volume 51:Issue 25(2015)
• Page Start: 2089
• Page End: 2090
• Publication Date: 2015-12-01
• Subjects: patient monitoring -- biomedical electronics -- blood pressure measurement -- support vector machines -- signal classification -- radial basis function networks -- medical signal processing; vital sign normalisation -- multiparameter patient monitors -- covariance normalisation -- heart rate -- arterial blood pressure -- respiration rate -- oxygen saturation -- support vector machine classifier -- radial basis function kernel; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2015.2636
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Using covariance normalisation (CVN) of vital signs is explored to improve the performance of multi‐parameter patient monitors with heart rate, arterial blood pressure, respiration rate, and oxygen saturation (SpO2 ) as its input. The baseline system for the experiments is a support vector machine classifier with a radial basis function kernel. Although an improvement in the overall classification accuracy with the use of CVN is obtained, there was a deterioration in sensitivity. Furthermore, it is noted that the estimate of the covariance is often noisy, and therefore the covariance estimates is smoothed to obtain a performance improvement of 0.23% absolute for sensitivity, 1.34% absolute for specificity, and 1.08% absolute for the overall classification accuracy. Multi‐parameter intelligent monitoring in intensive care II database for all the experiments is used.