Advancing Patient Care: A WBAN-Based Sustainable Health Monitoring System for Stress Assessment

Wireless body area networks (WBANs) have recently gained immense popularity for their potential in various growing healthcare applications. This study presents an advanced sustainable patient care system that continually tracks and monitors patient vital signs such as heart rate, body temperature, and muscle electrical activity using a WBAN system for stress level assessment. Three integrated wearable sensors (an NTC temperature sensor, a pulse oximeter, and an EMG sensor) are attached to a patient’s arm to furnish real-time health monitoring data. The wireless data acquisition is achieved by integrating the portable sensor network with an ESP32 module. A mobile application is developed to enhance data visualization and provide stress-level indications, thus enabling more informed healthcare decisions. The system’s efficiency is demonstrated with real-time testing of accurate stress-level predictions on various adult patients based on recorded, accurate vital signs.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/ficloud62933.2024.00042
Citations
1
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.18
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article

Advancing Patient Care: A WBAN-Based Sustainable Health Monitoring System for Stress Assessment

Taimur Hassan, Mohammed Ghazal, Jawad Yousaf, Maha Yaghi et al.
1 citations
Biomedical and Engineering Education
0.18
article

Advancing Patient Care: A WBAN-Based Sustainable Health Monitoring System for Stress Assessment

Taimur Hassan, Mohammed Ghazal, Jawad Yousaf, Maha Yaghi, Abdalla Gad, Sherif Saleh, Ghada Said Rezk, Maria Al Bacha, Deema Saber Al Madhoun
article en
1 citations

Abstract

Wireless body area networks (WBANs) have recently gained immense popularity for their potential in various growing healthcare applications. This study presents an advanced sustainable patient care system that continually tracks and monitors patient vital signs such as heart rate, body temperature, and muscle electrical activity using a WBAN system for stress level assessment. Three integrated wearable sensors (an NTC temperature sensor, a pulse oximeter, and an EMG sensor) are attached to a patient’s arm to furnish real-time health monitoring data. The wireless data acquisition is achieved by integrating the portable sensor network with an ESP32 module. A mobile application is developed to enhance data visualization and provide stress-level indications, thus enabling more informed healthcare decisions. The system’s efficiency is demonstrated with real-time testing of accurate stress-level predictions on various adult patients based on recorded, accurate vital signs.

Abu Dhabi University (AE)
Openalex Percentile: Top 51%
Biomedical and Engineering Education
0.18
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Advancing Patient Care: A WBAN-Based Sustainable Health Monitoring System for Stress Assessment — Taimur Hassan, Mohammed Ghazal, et al. · (2024) | TGRS Research Map | TGRS