Estimation of Tidal Volume Using Load Cells on a Hospital Bed
Author:
Affiliation:
1. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
2. Hill-Rom Inc, Chicago, IL, USA
Funder
National Science Foundation Graduate Research Fellowship
Hill-Rom Services
Inan Research Laboratory at Georgia Tech
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
https://ieeexplore.ieee.org/ielam/6221020/9813470/9674804-aam.pdf
Reference52 articles.
1. Ballistocardiogram signal processing: a review
2. A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients
3. Contact-free unconstraint respiratory measurements with load cells under the bed in awake healthy volunteers: breath-by-breath comparison with pneumotachography
4. Improvement of Force-Sensor-Based Heart Rate Estimation Using Multichannel Data Fusion
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