Development of a Wearable Device Integrated with Internet of Things (IoT) Technology for Measuring Stress Levels.
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| Titel: | Development of a Wearable Device Integrated with Internet of Things (IoT) Technology for Measuring Stress Levels. |
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| Autoren: | Tyulepberdinova, Gulnur, Kunelbayev, Murat, Amirkhanova, Gulshat, Mansurova, Madina, Adilzhanova, Saltanat |
| Quelle: | Frontiers in Health Informatics; 2025, Vol. 14 Issue 2, p127-135, 9p |
| Schlagwörter: | GALVANIC skin response, HEART beat, WEB-based user interfaces, INTERNET of things, DIGITAL health, RESPIRATION |
| Abstract: | Introduction: The rapid advancement of wearable devices and Internet of Things (IoT) technology has revolutionized healthcare by enabling real-time monitoring and analysis. Stress, a significant factor impacting mental and physical health, demands innovative solutions for effective management. This study introduces a wearable device integrating IoT capabilities to measure stress levels using physiological parameters such as heart rate variability, skin conductance, and respiration rate. By providing seamless data transmission and personalized insights, this approach empowers users to manage stress effectively, promoting improved health outcomes and advancing digital healthcare technologies. Objectives: The study aims to develop an IoT-enabled wearable device for real-time stress monitoring, data analysis, and personalized stress management. Methods: The wearable device was developed using an FPGA microcontroller and nine sensors, including photo plethysmography (PPG) and galvanic skin response (GSR), to measure physiological stress indicators such as heart rate variability, skin conductance, and respiration rate. Data collected by the sensors was processed in real-time and transmitted via Wi-Fi to the Firebase platform for storage and visualization. A web application was created for user-friendly data access and analysis. Sensor calibration ensured accuracy and minimized noise, while integration with IoT technology enabled seamless connectivity and scalability. Experimental validation involved testing the device in controlled environments, confirming its ability to accurately measure and display stress-related physiological parameters, providing a reliable tool for personalized stress management. Results: The wearable device demonstrated successful integration of nine sensors, including PPG and GSR, achieving 85% accuracy in measuring physiological parameters like heart rate and respiration rate. Data was transmitted in real-time to the Firebase platform, enabling seamless storage and visualization through a web application. Experimental tests confirmed consistent monitoring of stress-related indicators, with stable and accurate data trends observed. The results validated the device's effectiveness in identifying stress levels, offering a robust and scalable solution for personalized stress management, advancing IoT applications in healthcare, and improving overall well-being. Conclusions: The developed IoT-enabled wearable device effectively measures stress-related physiological parameters in real-time, providing accurate data for personalized stress management. This innovation highlights the potential of IoT technology to transform healthcare monitoring and improve well-being. [ABSTRACT FROM AUTHOR] |
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| Datenbank: | Biomedical Index |
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