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The Identification of Respiratory Phase Using Support Vector Machines and Extreme Gradient Boosting

Year: 2021

Type: conference-paper

Source: IEEE Signal Processing in Medicine and Biology Symposium

DOI: 10.1109/spmb52430.2021.9672292

Authors: B. Rahman, T. Hassan, M. Azad, R. H. Sandler, H. A. Mansy

Institutions: University of Central Florida, Biomedical Acoustics (United States)

Language: English

Topic: Non-Invasive Vital Sign Monitoring

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Science Foundation, National Heart and Lung Institute, National Institutes of Health, National Heart, Lung, and Blood Institute

Awards: A device for monitoring heart failure patients, FW-HTF-P: Future Telemedicine Technologies and Multidisciplinary Workforce Readiness

OpenAlex ID: W4210250185

FWCI:

Cites: 15

Cited by:

Related to: 10