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Published on: April 19, 2019
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Wireless Patient Monitoring System Based on Smart Wristbands and Central user Interface Software.
Mohammad Hossein Vafaie1, Ebrahim Ahmadi Beni1
1Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Journal of Medical Signals and Sensors
|March 21, 2024
Summary
This study introduces a smart patient monitoring system using wristbands to track heart rate and oxygen saturation (SpO2). It alerts nurses to emergencies, improving patient care and recovery.
Area of Science:
- Biomedical Engineering
- Health Informatics
- Wearable Technology
Background:
- Continuous patient monitoring is crucial for timely medical intervention.
- Existing systems may lack real-time, integrated emergency alerts.
- Wearable technology offers a promising avenue for remote patient monitoring.
Purpose of the Study:
- To develop and evaluate a smart patient monitoring system for real-time heart rate and SpO2 tracking.
- To implement an alert system for nurses upon detection of abnormal patient conditions.
- To enhance the speed and effectiveness of emergency healthcare delivery.
Main Methods:
- A system comprising smart patient wristbands with pulse oximeter sensors, smart nurse wristbands, and central UI software was designed.
- Advanced signal processing algorithms were employed for accurate heart rate and SpO2 calculation.
- A wireless network facilitated data transmission and real-time alerts to nurses' wristbands.
Main Results:
- The system successfully obtains heart rate and SpO2 levels from patients.
- Abnormal conditions are identified, triggering immediate emergency alerts to nurses.
- The system facilitates quicker response times for patient care.
Conclusions:
- The proposed smart monitoring system enhances patient safety through real-time data and rapid emergency notification.
- This technology has the potential to significantly improve patient outcomes and recovery rates.
- Integrated wearable systems offer a scalable solution for modern healthcare monitoring.

