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Validation of the Algorithm for Bio-signal Data in Home-health Management Systems / 대한의료정보학회지
Journal of Korean Society of Medical Informatics ; : 109-116, 2009.
Article in Korean | WPRIM | ID: wpr-83079
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.
Subject(s)

Full text: Available Index: WPRIM (Western Pacific) Main subject: Blood Glucose / Blood Pressure / Dataset / Methods Type of study: Prognostic study Limits: Humans Language: Korean Journal: Journal of Korean Society of Medical Informatics Year: 2009 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Blood Glucose / Blood Pressure / Dataset / Methods Type of study: Prognostic study Limits: Humans Language: Korean Journal: Journal of Korean Society of Medical Informatics Year: 2009 Type: Article