J Korean Soc Med Inform.  2009 Mar;15(1):109-116.

Validation of the Algorithm for Bio-signal Data in Home-health Management Systems

Affiliations
  • 1Department of Nursing, Wonju College of Medicine, Yonsei University, Korea.
  • 2Department of Emergeny Medicine, Wonju College of Medicine, Yonsei University, Korea. shwang@yonsei.ac.kr
  • 3Department of Biomedical Engineering, College of Health Science, Yonsei University, Korea.

Abstract


OBJECTIVE
The purpose of this study was to verify the algorithm on bio-signals for a home-health management system.
METHODS
A methodological study was done to verify the blood pressure and blood sugar algorithm to deliver tailored patient information. The verifying process was as follows: Step 1; development of the algorithm through a literature review, Step 2; programming the algorithm using Microsoft SQL Server 2005 and Visual Studio 2005, Step 3; Reviewing of the algorithm by examining results from the home-health management system and experts' evaluation Step 4; evaluating the agreement of the algorithm by comparison between results from the home-health management system and intended results using bio-signal data set, and completion of the algorithm.
RESULTS
Discordance rate between results from the home-health management system and intended results for blood pressure and blood sugar were 5.72% and 2.04%, respectively. Also, discordance rate between results from the home-health management system and experts' evaluation of blood pressure and blood sugar were 30.38% and 20.41%, respectively. All discordance were revised until all the researchers reached agreement.
CONCLUSION
The home-health management system with an accurate algorithm on bio-signals can contribute to promote clients' health and reduce the cost of medical services.

Keyword

Bio-signal Data; Algorithm; Telehealth (Home-health Management System)

MeSH Terms

Blood Glucose
Blood Pressure
Dataset
Humans
Methods
Blood Glucose

Figure

  • Figure 1 The Stage of Study

  • Figure 2 An example of algorithm: blood pressure

  • Figure 3 An example of Fake Bio-signal Data: blood pressure


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