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Related Experiment Video

Updated: Jun 3, 2026

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Wireless LAN security management with location detection capability in hospitals.

K Tanaka¹, H Atarashi, I Yamaguchi

¹Department of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan. katsuya@hcc.h.u-tokyo.ac.jp

Methods of Information in Medicine

|March 25, 2011

Summary

This study developed a real-time monitoring method to detect unauthorized wireless devices in hospitals, improving wireless local area network (LAN) security management with high accuracy.

Related Experiment Videos

Last Updated: Jun 3, 2026

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Area of Science:

Medical Informatics
Network Security
Wireless Communication Systems

Background:

Unauthorized access points and terminals disrupt large-scale wireless local area network (LAN) operations in medical settings.
Effective security management is crucial for stable network functioning in healthcare environments.

Purpose of the Study:

To establish a real-time monitoring method for detecting unauthorized wireless devices.
To enhance the efficiency of security management for wireless LAN systems in medical institutions.

Main Methods:

Implemented a centralized wireless LAN and location detection system across 370 access points at the University of Tokyo Hospital.
Collected and stored radio signal strength and location data, evaluating risk levels based on detection history.
Assessed location detection performance using Wi-Fi tags in a hospital ward setting.

Main Results:

Confirmed extraneous radio waves and signals from wireless devices like portable game consoles.
Achieved high location detection accuracy with an approximate 4m error margin and a 5% false detection rate.
Demonstrated the effectiveness of radio signal strength as an indicator for detection likelihood and risk assessment.

Conclusions:

Accurate wireless device location determination was achieved by filtering detection results using signal strength and historical data.
A developed location database incorporating signal strength and detection history is effective for wireless LAN security and general location detection applications.