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Related Experiment Video

Updated: Jun 10, 2026

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

Applying wearable solutions in dependent environments.

Juan A Fraile¹, Javier Bajo, Juan M Corchado

¹University of Salamanca, 37008 Salamanca, Spain. jafraileni@upsa.es

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society

|July 30, 2010

Summary

This summary is machine-generated.

This study introduces a multiagent system (MAS) using smart wearables and wireless sensor networks (WSN) for enhanced geriatric home care. The system enables remote patient monitoring and efficient, secure management of care services.

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Last Updated: Jun 10, 2026

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

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Published on: February 3, 2023

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Published on: January 22, 2018

Area of Science:

Geriatric Care Technology
Ubiquitous Computing
Multiagent Systems

Background:

Elderly populations require continuous monitoring and specialized care, often in home settings.
Existing home care systems face challenges in real-time monitoring, patient identification, and efficient service management.
Integrating smart devices and wireless networks can address these limitations.

Purpose of the Study:

To propose and evaluate a multiagent system (MAS) for geriatric home care.
To leverage smart wearable devices, mobile technology, and wireless sensor networks (WSN) for remote patient monitoring.
To enhance the efficiency and security of care service infrastructure through intelligent data management.

Main Methods:

Development of a MAS integrating ZigBee WSN, location/identification microchips (RFID/NFC), and wearable devices.
Implementation of a reasoning agent for task-planning and data synchronization from sensors.
Deployment of a system prototype in a real geriatric home care environment.

Main Results:

The proposed MAS effectively manages the home care infrastructure, ensuring efficient and secure service delivery.
Remote monitoring of patients and adherence to preventive medical protocols were successfully demonstrated.
The system prototype validated the feasibility and performance of the integrated technologies.

Conclusions:

The developed MAS offers a robust solution for improving geriatric home care through advanced technology integration.
Smart wearables, WSN, and intelligent agents can significantly enhance patient safety, monitoring, and care service management.
This approach paves the way for more efficient and secure remote healthcare solutions.