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Abstract

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.

Details

1009240
Title
Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System
Author
Ianculescu, Marilena 1   VIAFID ORCID Logo  ; Victor-Ștefan Constantin 1 ; Andreea-Maria Gușatu 1 ; Mihail-Cristian Petrache 1   VIAFID ORCID Logo  ; Alina-Georgiana Mihăescu 1 ; Bica, Ovidiu 1 ; Alexandru, Adriana 2   VIAFID ORCID Logo 

 National Institute for Research and Development in Informatics, 011455 Bucharest, Romania; [email protected] (M.I.); [email protected] (M.-C.P.); [email protected] (A.-G.M.); [email protected] (O.B.); [email protected] (A.A.) 
 National Institute for Research and Development in Informatics, 011455 Bucharest, Romania; [email protected] (M.I.); [email protected] (M.-C.P.); [email protected] (A.-G.M.); [email protected] (O.B.); [email protected] (A.A.); Faculty of Electrical Engineering, Electronics and Information Technology, Valahia University of Targoviste, 130004 Targoviste, Romania 
Publication title
Sensors; Basel
Volume
25
Issue
7
First page
2292
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-04-04
Milestone dates
2025-02-24 (Received); 2025-04-01 (Accepted)
Publication history
 
 
   First posting date
04 Apr 2025
ProQuest document ID
3188898610
Document URL
https://www.proquest.com/scholarly-journals/enhancing-connected-health-ecosystems-through-iot/docview/3188898610/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-04-12
Database
ProQuest One Academic