Earticle

초록

영어

The monitors in the Intensive Care Unit generate alarms whenever a signal passes beyond a preset limit. Such an approach for alarming generates many false alarms because, in general, clinically insignificant events cause signals to go beyond these limits e.g taking a blood sample. Here the alarm has been caused by a clinically insignificant event, not a disturbance in the patient's physiology. If these limits are set to the maximum allowable physiological deviation from the normal or expected value, the monitor will alarm when the patient is already in a serious condition. Likewise, if the limits are adjusted to increase sensitivity, the monitor will be more prone to giving false alarms. There is, therefore, a strong need to reduce the number of false alarms. Our approach to reducing false alarms is to use filtering techniques which will not only remove clinically insignificant events but also allow medical staff to view noise free data to enhance clinical decision support. Using real monitor data, in this paper we review a number of filtering techniques and present our findings to determine which is most suitable for the Intensive Care Unit monitors.

목차

Abstract
 1. Introduction
 2. Filtering
 3. Results
 4. Conclusions
 References

키워드

저자

• Apkar Salatian [ School of Information Technology and Communications American University of Nigeria ]
• Lawrence Oborkhale [ School of Information Technology and Communications American University of Nigeria ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605