UPDEMIN: an efficient protocol for predicting patient upcoming situation, decision and intervention in wireless body sensor network
Author:
Affiliation:
1. Institut de Recherche de l’École navale (IRENAV), Naval Academy, Lanvéoc-Poulmic, France
2. College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/23311916.2024.2374520
Reference62 articles.
1. Clustering and Classification based real time analysis of health monitoring and risk assessment in Wireless Body Sensor Networks
2. Respiration rate monitoring methods: A review
3. Blood Pressure Sensors: Materials, Fabrication Methods, Performance Evaluations and Future Perspectives
4. A comprehensive literature review on image captioning methods and metrics based on deep learning technique
5. Smart wearable body sensors for patient self-assessment and monitoring
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