Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System

The Monit4Healthy system is an IoT-enabled health monitoring solution designed to address critical challenges in real-time biomedical signal processing, energy efficiency, and data transmission. The system’s modular design merges wireless communication components alongside a number of physiological...

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Main Authors: Marilena Ianculescu, Victor-Ștefan Constantin, Andreea-Maria Gușatu, Mihail-Cristian Petrache, Alina-Georgiana Mihăescu, Ovidiu Bica, Adriana Alexandru
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/7/2292
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author Marilena Ianculescu
Victor-Ștefan Constantin
Andreea-Maria Gușatu
Mihail-Cristian Petrache
Alina-Georgiana Mihăescu
Ovidiu Bica
Adriana Alexandru
author_facet Marilena Ianculescu
Victor-Ștefan Constantin
Andreea-Maria Gușatu
Mihail-Cristian Petrache
Alina-Georgiana Mihăescu
Ovidiu Bica
Adriana Alexandru
author_sort Marilena Ianculescu
collection DOAJ
description The Monit4Healthy system is an IoT-enabled health monitoring solution designed to address critical challenges in real-time biomedical signal processing, energy efficiency, and data transmission. The system’s modular design merges wireless communication components alongside a number of physiological sensors, including galvanic skin response, electromyography, photoplethysmography, and EKG, to allow for the remote gathering and evaluation of health information. In order to decrease network load and enable the quick identification of abnormalities, edge computing is used for real-time signal filtering and feature extraction. Flexible data transmission based on context and available bandwidth is provided through a hybrid communication approach that includes Bluetooth Low Energy and Wi-Fi. Under typical monitoring scenarios, laboratory testing shows reliable wireless connectivity and ongoing battery-powered operation. The Monit4Healthy system is appropriate for scalable deployment in connected health ecosystems and portable health monitoring due to its responsive power management approaches and structured data transmission, which improve the resiliency of the system. The system ensures the reliability of signals whilst lowering latency and data volume in comparison to conventional cloud-only systems. Limitations include the requirement for energy profiling, distinctive hardware miniaturizing, and sustained real-world validation. By integrating context-aware processing, flexible design, and effective communication, the Monit4Healthy system complements existing IoT health solutions and promotes better integration in clinical and smart city healthcare environments.
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spelling doaj-art-78eee40d826142d2b7717aa1e44222a22025-08-20T03:08:54ZengMDPI AGSensors1424-82202025-04-01257229210.3390/s25072292Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy SystemMarilena Ianculescu0Victor-Ștefan Constantin1Andreea-Maria Gușatu2Mihail-Cristian Petrache3Alina-Georgiana Mihăescu4Ovidiu Bica5Adriana Alexandru6National Institute for Research and Development in Informatics, 011455 Bucharest, RomaniaNational Institute for Research and Development in Informatics, 011455 Bucharest, RomaniaNational Institute for Research and Development in Informatics, 011455 Bucharest, RomaniaNational Institute for Research and Development in Informatics, 011455 Bucharest, RomaniaNational Institute for Research and Development in Informatics, 011455 Bucharest, RomaniaNational Institute for Research and Development in Informatics, 011455 Bucharest, RomaniaNational Institute for Research and Development in Informatics, 011455 Bucharest, RomaniaThe Monit4Healthy system is an IoT-enabled health monitoring solution designed to address critical challenges in real-time biomedical signal processing, energy efficiency, and data transmission. The system’s modular design merges wireless communication components alongside a number of physiological sensors, including galvanic skin response, electromyography, photoplethysmography, and EKG, to allow for the remote gathering and evaluation of health information. In order to decrease network load and enable the quick identification of abnormalities, edge computing is used for real-time signal filtering and feature extraction. Flexible data transmission based on context and available bandwidth is provided through a hybrid communication approach that includes Bluetooth Low Energy and Wi-Fi. Under typical monitoring scenarios, laboratory testing shows reliable wireless connectivity and ongoing battery-powered operation. The Monit4Healthy system is appropriate for scalable deployment in connected health ecosystems and portable health monitoring due to its responsive power management approaches and structured data transmission, which improve the resiliency of the system. The system ensures the reliability of signals whilst lowering latency and data volume in comparison to conventional cloud-only systems. Limitations include the requirement for energy profiling, distinctive hardware miniaturizing, and sustained real-world validation. By integrating context-aware processing, flexible design, and effective communication, the Monit4Healthy system complements existing IoT health solutions and promotes better integration in clinical and smart city healthcare environments.https://www.mdpi.com/1424-8220/25/7/2292IoTconnected health ecosystemshealth monitoringMonit4Healthy systemsensor fusionreal-time biomedical signal processing
spellingShingle Marilena Ianculescu
Victor-Ștefan Constantin
Andreea-Maria Gușatu
Mihail-Cristian Petrache
Alina-Georgiana Mihăescu
Ovidiu Bica
Adriana Alexandru
Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System
Sensors
IoT
connected health ecosystems
health monitoring
Monit4Healthy system
sensor fusion
real-time biomedical signal processing
title Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System
title_full Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System
title_fullStr Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System
title_full_unstemmed Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System
title_short Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System
title_sort enhancing connected health ecosystems through iot enabled monitoring technologies a case study of the monit4healthy system
topic IoT
connected health ecosystems
health monitoring
Monit4Healthy system
sensor fusion
real-time biomedical signal processing
url https://www.mdpi.com/1424-8220/25/7/2292
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