대량 공급형 재택건강관리 서비스 모델 개발을 위한 생체신호 알고리즘 검증- 혈압 · 혈당을 중심으로 -
Validation of the Algorithm for Bio-signal Data in Home-health Management Systems
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초록
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.
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.
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