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Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor

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Year: 2016
Type: conference-paper
Source: Lecture notes in computer science
Parent work: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I
DOI: 10.1007/978-3-319-46720-7_56
Authors: Austin Reiter, Andy Ma, Nishi Rawat, Christine Shrock, Suchi Saria
Institutions: Johns Hopkins University, Johns Hopkins Medicine
Language: English

Topic: Context-Aware Activity Recognition Systems
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: green

Funder: National Heart, Lung, and Blood Institute
Award: An evaluation of sensor technology to monitor and report compliance with an evidence-based intervention to prevent ventilator-associated pneumonia
OpenAlex ID: W2523930203
FWCI: 0.335
Cites: 30
Cited by: 11
Related to: 10
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