Towards enhancing the performance of multi-parameter patient monitors

Healthcare Technology Letters

article

V. Vaijeyanthi¹  K. Vishnuprasad¹  C. Santhosh Kumar¹  K.I. Ramachandran¹  R. Gopinath¹  A. Anand Kumar²  Praveen Kumar Yadav² 

[1] Department of Electronics and Communication Engineering, Machine Intelligence Research Laboratory;Department of Neurology, Amrita Institute of Medical Sciences

关键词: patient monitoring;    health care;    cardiology;    regression analysis;    decision trees;    alarm accuracy;    classification tree;    regression tree;    baseline system;    MPM systems;    oxygen saturation;    respiration rate;    blood pressure;    heart rate;    vital parameters;    medical community;    quality health care;    multiparameter patient monitoring performance;   

DOI  :  10.1049/htl.2013.0041

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

Multi-parameter patient monitors (MPMs) have become increasingly important in providing quality healthcare to patients. It is well known in the medical community that there exists an intrinsic relationship between different vital parameters in a healthy person, these include heart rate, blood pressure, respiration rate and oxygen saturation. For example, an increase in blood pressure would lead to a decrease in the heart rate, and vice versa. Although it is likely to improve the performance of MPM systems, this fact is not explored in engineering research. In this work, experiments show that deriving additional features to capture the intrinsic relationship between the vital parameters, the alarm accuracy (sensitivity), no-alarm accuracy (specificity) and the overall performance of MPMs can be improved. The geometric mean of the product of all the vital parameters taken in pairs of two was used to capture the intrinsic relationship between the different parameters. An improvement of 10.55% for sensitivity, 0.32% for specificity and an overall performance improvement of 1.03% was obtained, compared to the baseline system using classification and regression tree with the four vital parameters.

【 授权许可】

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