Adaptable Action-Aware Vital Models for Personalized Intelligent Patient Monitoring
Author:
Affiliation:
1. German Heart Center Munich,München,Germany,80636
2. Munich Institute of Robotics and Machine Intelligence, Technical University of Munich,Machine Vision and Perception Group,Department of Informatics,Garching bei München,Germany,85748
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812176.pdf?arnumber=9812176
Reference21 articles.
1. Confidence-enhanced early warning score based on fuzzy logic;götzinger;Mobile Networks and Applications,2019
2. Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology
3. Patient-specific learning in real time for adaptive monitoring in critical care
4. Adaptive online monitoring for ICU patients by combining just-in-time learning and principal component analysis
5. Wireless monitoring and real-time adaptive predictive indicator of deterioration
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1. Human Activity Recognition in a Free-Living Environment Using an Ear-Worn Motion Sensor;Sensors;2024-04-23
2. Risk Estimation for ICU Patients with Personalized Anomaly-Encoded Bedside Patient Data;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24
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