Work

Detection of differences of cardiorespiratory metrics between non-invasive respiratory support modes using machine learning methods

Year: 2023

Type: article

Source: Biomedical Signal Processing and Control

DOI: 10.1016/j.bspc.2023.105028

Authors: Weiyi Yang, Wei Fan, Di Wang, Samantha Latremouille, Guilherme Mendes Sant'Anna, Wissam Shalish, Robert E. Kearney

Institutions: Nanjing University of Information Science and Technology, McGill University, Jilin University, Tiangong University, McGill University Health Centre

Language: English

Topic: Neonatal Respiratory Health Research

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: China Scholarship Council, Nanjing University of Information Science and Technology, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology

Awards: G2328659481, G2988771658

OpenAlex ID: W4377261856

FWCI:

Cites: 41

Cited by:

Related to: 10