Research on a multimodal perception-based intelligent medical management system for newborns

To address current challenges in neonatal care, including identity verification risks, environmental monitoring blind spots, and information traceability difficulties in medical institutions, this study developed an intelligent medical management system integrating multiple IoT technologies. The system combines radio frequency identification (RFID), low-power wireless sensor networks (Zigbee), Wi-Fi transmission, and other technological frameworks to establish a comprehensive management platform with three core functionalities: vital signs monitoring, intelligent environmental regulation, and full-cycle information management. Practical applications demonstrate that this system effectively reduces medical errors, enhances traceability of nursing operations, and provides critical technological support for the digital transformation of neonatal departments.

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Publication Details

Published
2025-08-18
DOI
https://doi.org/10.1117/12.3072960
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on a multimodal perception-based intelligent medical management system for newborns

Dong Wang, Wei He, S. Jia, Bin Chen et al.
Context-Aware Activity Recognition Systems
article

Research on a multimodal perception-based intelligent medical management system for newborns

Dong Wang, Wei He, S. Jia, Bin Chen, Yi Tan
article en

Abstract

To address current challenges in neonatal care, including identity verification risks, environmental monitoring blind spots, and information traceability difficulties in medical institutions, this study developed an intelligent medical management system integrating multiple IoT technologies. The system combines radio frequency identification (RFID), low-power wireless sensor networks (Zigbee), Wi-Fi transmission, and other technological frameworks to establish a comprehensive management platform with three core functionalities: vital signs monitoring, intelligent environmental regulation, and full-cycle information management. Practical applications demonstrate that this system effectively reduces medical errors, enhances traceability of nursing operations, and provides critical technological support for the digital transformation of neonatal departments.

ZTE (China) (CN), Hubei Urban Construction Vocational and Technological College (CN)
Openalex Percentile: Top 80%
Context-Aware Activity Recognition Systems
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