Published on: May 2026
NABH-COMPLIANT IOT-ENABLED SMART ICU SYSTEM FOR INTEGRATED MONITORING AND PREDICTIVE MAINTENANCE
R Mathan Raj A R Gokul S Avinesh
Article Status
Available Documents
Abstract
Keywords : Smart ICU, IoT-Based Healthcare, NABH Compliance,ESP32 Controller, Predictive Maintenance, Biomedical Sensors, Real-Time Monitoring.
How to Cite this Paper
Raj, R. M., Gokul, A. R. & Avinesh, S. (2026). NABH-Compliant IoT-Enabled Smart ICU System for Integrated Monitoring and Predictive Maintenance. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.100
Raj, R, et al.. "NABH-Compliant IoT-Enabled Smart ICU System for Integrated Monitoring and Predictive Maintenance." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.100.
Raj, R,A Gokul, and S Avinesh. "NABH-Compliant IoT-Enabled Smart ICU System for Integrated Monitoring and Predictive Maintenance." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.100.
Search & Index
References
- Lai et al., “A Ubiquitous Platform for Camera-Based Multi-Parameter Vital Signs Monitoring in Hospital ICUs: A Double-Center Clinical Study,” in IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 12, pp. 8671–8678, Dec. 2025, doi: 10.1109/JBHI.2025.3620569.
- Wu et al., “Design, Performance Evaluation, and Optimization for Intensive Care Networks Based on Non-Hierarchical Overflow Loss Systems,” in IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 7, pp. 5270–5283, July 2025, doi: 10.1109/JBHI.2025.3549142.
- Mendoza et al., “Clinical Features and Physiological Signals Fusion Network for Mechanical Circulatory Support Need Prediction in Pediatric Cardiac Intensive Care Unit,” in IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 2, pp. 783–791, Feb. 2025, doi: 10.1109/JBHI.2024.3510217.
- A. V. Escobar et al., “Correlation and Concordance of Noninvasive Hemoglobin with Invasive Hemoglobin Measurement Techniques in Critically Ill Patients,” in IEEE 4th Colombian BioCAS Workshop, Armenia Quindio, Colombia, 2025, pp. 1–6, doi: 10.1109/ColBioCAS66416.2025.11276150.
- Yang et al., “Privacy-Preserving Infant Sleep-Wake Detection in NICUs based on Federated Learning: A Multi-center Clinical Study,” in IEEE Engineering in Medicine and Biology Society Annual Conference, Copenhagen, Denmark, 2025, pp. 1–4, doi: 10.1109/EMBC58623.2025.11251758.
- Sindhu and K. L. Hemalatha, “Patient Aware Bidirectional-Gated Recurrent Unit Framework for Intensive Care Unit Mortality Prediction,” in International Conference on Mobile Networks and Wireless Communications, Tumkur, India, 2025, pp. 1–7, doi: 10.1109/ICMNWC66779.2025.11354416.
- Liao et al., “Non-contact Cardio-respiratory Monitoring of Preterm Infants in NICU: RGB Camera or mmWave FMCW radar?,” in IEEE Engineering in Medicine and Biology Society Annual Conference, Copenhagen, Denmark, 2025, pp. 1–5, doi: 10.1109/EMBC58623.2025.11254365.
- Seifizarei et al., “Continuous Radar-based Heart Rate Monitoring using Autocorrelation-based Algorithm in Intensive Care Unit,” in IEEE Journal of Biomedical and Health Informatics, 2025, doi: 10.1109/JBHI.2025.3527566.
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: May 05 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.