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.
Authors
- Dong Wang (ORCID: https://orcid.org/0000-0002-2210-640X)
- Wei He (ORCID: https://orcid.org/0000-0003-3410-0643)
- S. Jia (ORCID: https://orcid.org/0000-0001-8176-8545)
- Bin Chen (ORCID: https://orcid.org/0000-0001-8314-9991)
- Yi Tan
Institutions
- ZTE (China) (CN)
- Hubei Urban Construction Vocational and Technological College (CN)
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