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

SoMi Park; MiJeong Park; Hyun Kim; OhHyun Kim; Young Ro Yoon; Sung Oh Hwang

doi:10.4258/jksmi.2009.15.1.109

Journal List > J Korean Soc Med Inform > v.15(1) > 1035513

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Park, Park, Kim, Kim, Yoon, and Hwang: Validation of the Algorithm for Bio-signal Data in Home-health Management Systems

Original Article

Journal of Korean Society of Medical Informatics

Journal of Korean Society of Medical Informatics 2009; 15(1): 109-116.

Published online: 31 March 2009

DOI: https://doi.org/10.4258/jksmi.2009.15.1.109

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

SoMi Park¹, MiJeong Park¹, Hyun Kim², OhHyun Kim², Young Ro Yoon³, Sung Oh Hwang²

¹Department of Nursing, Wonju College of Medicine, Yonsei University, Korea.

²Department of Emergeny Medicine, Wonju College of Medicine, Yonsei University, Korea.

³Department of Biomedical Engineering, College of Health Science, Yonsei University, Korea.

Corresponding author (shwang@yonsei.ac.kr)

Received 10 September 2008 Accepted 11 March 2009

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.

Keywords: Bio-signal Data, Algorithm, Telehealth (Home-health Management System)

Figures and Tables

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

Table 1

Verification of the algorithm using bio-signal data set

Table 2

Verification of the algorithm by experts

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