Application-Specific fine tuning of multi-Parameter patient monitors

2Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Multi-parameter patient monitors (MPMs) have become increasingly important in providing quality health care to patients. A high alarm accuracy (sensitivity) will need a lower threshold for alarm detection which will lead to lower no-alarm accuracy (specificity) and viceversa. MPMs when used in an intensive care unit (ICU) need to have high sensitivity. However they need to have high specificity when used in in-patient wards for regular health check-ups. Proposed is a novel algorithm to trade-off specificity for sensitivity and viceversa depending on the application. The proposed method is referred as detection error trade-off, trade-off specificity for better sensitivity and vice-versa. The algorithm will help to extend the application of MPMs from ICUs to in-patient wards and thus enhance the quality of health care. Experiments have been conducted with an MPM using the classification and regression tree algorithm. By using the proposed algorithm, an improvement of 10.18% in sensitivity was obtained by trading-off 0.40% in specificity. Furthermore, the overall performance of the refined system is 1.15% better than the baseline system. © The Institution of Engineering and Technology 2013.

References Powered by Scopus

Induction of Decision Trees

15215Citations
N/AReaders
Get full text

Open-access MIMIC-II database for intensive care research

121Citations
N/AReaders
Get full text

Application of CART algorithm in hepatitis disease diagnosis

49Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Fusion of Bottleneck Features Derived from CNNs to Enhance the Performance of Multi-Parameter Patient Monitors

6Citations
N/AReaders
Get full text

Towards enhancing the performance of multi-parameter patient monitors

5Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Vaijeyanthi, V., Kumar, C. S., Ramachandran, K. I., Joy, J. K., & Kumar, A. A. (2013). Application-Specific fine tuning of multi-Parameter patient monitors. Electronics Letters, 49(23), 1432–1433. https://doi.org/10.1049/el.2013.2273

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 1

100%

Readers' Discipline

Tooltip

Computer Science 2

50%

Veterinary Science and Veterinary Medic... 1

25%

Engineering 1

25%

Save time finding and organizing research with Mendeley

Sign up for free