ACTNet: Attention based CNN and Transformer network for respiratory rate estimation-Reference-Cited by-同舟云学术

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ACTNet: Attention based CNN and Transformer network for respiratory rate estimation

Published:2024-10 Issue: Volume:96 Page:106497
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Chen Huahua^ORCID,Zhang Xiang^ORCID,Guo Zongheng^ORCID,Ying Na,Yang Meng,Guo Chunsheng

Publisher

Elsevier BV

Reference51 articles.

1. Recent development of respiratory rate measurement technologies;Liu;Physiol. Measur.,2019

2. Contactless methods for measuring respiratory rate: A review;Massaroni;IEEE Sens. J.,2020

3. Non-contact vital-sign monitoring of patients undergoing haemodialysis treatment;Villarroel;Sci. Rep.,2020

4. Remote plethysmographic imaging using ambient light.;Verkruysse;Opt. Expr.,2008

5. Multiparameter respiratory rate estimation from the photoplethysmogram;Karlen;IEEE Trans. Biomed. Eng.,2013

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