Smart ICU Revolutionizing Critical Care with Multi-modal Sensing and MIoT- Driven Solutions

The growing need to monitor patients in realtime within Intensive Care Units has paved the way for the implementation of Medical Internet of Things-based systems. The innovative multi-modal health monitoring system is specifically tailored to both home care environments and ICUs as well. The system is able to accommodate multiple sensors monitoring vital health parameters such as falls, ECG signals, temperature, blood glucose, and emotional stress from facial recognition. On detecting any anomalies, the system generates an audible alert to medical staff on the premises as well as to doctors and family members via WhatsApp. The system is of great help for patients confined to their beds, such as paralysis rehabilitation patients through physical therapy, by enabling remote patient monitoring and thus optimizing the usage of healthcare infrastructure in congested government hospitals.

Authors

Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1109/icbsii65145.2025.11013355
Citations
1
Primary Topic
Healthcare Technology and Patient Monitoring
Type
article
Field-Weighted Citation Impact
2.01
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article

Smart ICU Revolutionizing Critical Care with Multi-modal Sensing and MIoT- Driven Solutions

Sameena Banu, A Iyyanarappan, B Madhumitha
1 citations
Healthcare Technology and Patient Monitoring
2.01
article

Smart ICU Revolutionizing Critical Care with Multi-modal Sensing and MIoT- Driven Solutions

Sameena Banu, A Iyyanarappan, B Madhumitha
article en
1 citations

Abstract

The growing need to monitor patients in realtime within Intensive Care Units has paved the way for the implementation of Medical Internet of Things-based systems. The innovative multi-modal health monitoring system is specifically tailored to both home care environments and ICUs as well. The system is able to accommodate multiple sensors monitoring vital health parameters such as falls, ECG signals, temperature, blood glucose, and emotional stress from facial recognition. On detecting any anomalies, the system generates an audible alert to medical staff on the premises as well as to doctors and family members via WhatsApp. The system is of great help for patients confined to their beds, such as paralysis rehabilitation patients through physical therapy, by enabling remote patient monitoring and thus optimizing the usage of healthcare infrastructure in congested government hospitals.

Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Healthcare Technology and Patient Monitoring
2.01
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