Health condition alarm system

Maiga Chang, Ebenezer Aggrey, Mehadi Sayed, Kinshuk

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

2 Citations (Scopus)


A Health Condition Alarm System has been developed to provide practitioners an update on their patients' conditions in real-time. This paper focuses on how researchers and doctors can use the system to create vital sign ranges and alarm levels as well as to see the alarm alerts. The system is web-based and open-access, and the research team would like to collaborate with practitioners, hospitals, laboratories, and medical professionals to expand the system's application domains. The research team has leveraged two quality control methods, X-Chart and Westgard Multi-Rule, to decide the alarm level of a patient's health condition and the alarm timing. Four alarm levels (i.e., normal, subnormal, cautious, and alert) can then be decided by the mean values and standard deviations of the patient examination data.

Original languageEnglish
Title of host publicationBrain and Health Informatics - International Conference, BHI 2013, Proceedings
Number of pages9
Publication statusPublished - 2013
EventInternational Conference on Brain and Health Informatics, BHI 2013 - Maebashi, Japan
Duration: 29 Oct. 201331 Oct. 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8211 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Brain and Health Informatics, BHI 2013


  • Data mining
  • Healthcare
  • Levey-Jennings control chart
  • Westgard multi-rule quality management
  • X-Chart


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