DOI QR코드

DOI QR Code

A Hypertension Management Healthcare System in Mobile Environment

모바일 환경에서의 고혈압관리 헬스케어 시스템

  • Received : 2009.09.21
  • Accepted : 2009.10.21
  • Published : 2010.03.31

Abstract

This is an example of ABSTRACT format. This study proposes a hypertension management system that implements a signal collision avoidance algorithm for RFID tags and enables accurate medical services for hypertension patients. The proposed system enables the mobile RFID reader to accurately recognize the RFID tag signals emitted from the patient by using OR logic. Moreover, the system adopts a multi-agent approach to provide and manage information on patient condition and automated medical service in a mobile environment.

본 논문에서는 RFID tag의 충돌문제를 해결하여 고혈압 환자에게 정확한 의료서비스를 제공할 수 있는 hypertension management system을 제안한다. 제안한 시스템은 OR 로직을 사용하여 환자 주변의 RFID tag를 모바일 RFID 리더가 정확하게 인식할 수 있도록 하였다. 또한 모바일 환경에서 환자의 상태 및 의료서비스를 자동으로 제공하고, 관리하기 위해 멀티에이전트를 적용하였다.

Keywords

References

  1. Bang M, Timpaka T., "Ubiquitous computing to support co-located clinical teams: Using the semiotics of physical objects in system design", International Journal of Medical Informatics, 2006.
  2. Hong SJ, Park CG, Park JS, et aI., " The relationship between serum adiponectin, essential hypertension, LV mass index, and LV diastolic function, Korean Circulation J, VoI.33, pp. 1126-1133,2003. https://doi.org/10.4070/kcj.2003.33.12.1126
  3. Ho SH, et al. "Development of decision support system for the management of hypertension using data mining technology", Proceedings of the conference the Korean Society of Intelligent information System, pp. 271-282, 2000.
  4. Chae YM, et aI, "Analysis of healthcare quality indicator using data mining and decision support system", International Journal of Expert System with applications, 2003.
  5. Yonsei University, "Development of Decision Support System Model for Hypertension Management Using Sequential Patterns", 2005.
  6. Brossette SE, Sprague AP, Hardin JM, Waites KB, Jones WT, Moser SA. "Association rules and data mining in hospital infection control and public health surveillance", JAMIA, Vol. 5, pp. 373-381, 1998.