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Related Experiment Video

Updated: Jun 26, 2026

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

U-healthcare System using Smart Headband.

Sang Hyun Kim¹, Dong Wan Ryoo, Changseok Bae

¹Department of Computer Software and Engineering, Korea university of Science and Technology, Korea.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 24, 2009

Summary

This summary is machine-generated.

This study introduces a wearable U-healthcare System with a Smart Headband and Health-state Monitor for accurate, convenient daily health tracking. It alerts caregivers to abnormal heart rates during walking or running.

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Area of Science:

Biomedical Engineering
Wearable Technology
Health Informatics

Background:

Wearable healthcare systems require small, user-friendly designs for accurate physiological signal measurement in daily life.
Existing systems often face challenges with accuracy and user convenience during physical activities.
The need for continuous, unobtrusive health monitoring is increasing in remote and daily-life settings.

Purpose of the Study:

To develop and evaluate a novel wearable U-healthcare System for monitoring physiological signals during daily activities.
To ensure accurate measurement of heart rate and activity levels through a convenient, non-invasive interface.
To provide timely alerts for abnormal health conditions to designated contacts.

Main Methods:

Development of a Smart Headband integrating photo-plethysmography (PPG) and accelerometer sensors.
Implementation of a Health-state Monitor program on an Ultra Mobile Personal Computer (UMPC) for data processing and display.
Utilizing Wireless Personal Area Network (WPAN) with Zigbee protocol for device communication.
Incorporation of Adaptive Noise Cancellation (ANC) to enhance signal accuracy.
Development of an alert system for sending SMS notifications upon detecting abnormal heart rate variations.

Main Results:

The Smart Headband accurately measures PPG and acceleration signals during walking and running.
The Health-state Monitor program effectively displays vital signs including PPG, heart rate, and step count.
Adaptive Noise Cancellation significantly improves the precision of physiological measurements.
The system successfully transmits alerts via SMS to designated contacts for emergency situations.

Conclusions:

The proposed U-healthcare System offers a practical and accurate solution for wearable health monitoring.
The system enhances user convenience and provides crucial real-time health insights.
The integrated alert mechanism improves patient safety by enabling prompt medical intervention.