A Novel ECG-Derived Respiration Method Combining Frequency-Domain Feature and Interacting Multiple Model Smoother-Reference-Cited by-同舟云学术

A Novel ECG-Derived Respiration Method Combining Frequency-Domain Feature and Interacting Multiple Model Smoother

Published:2023-03 Issue:3 Volume:70 Page:888-898
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Dong Kejun¹,Zhao Li²^ORCID,Zou Cairong³,Cai Zhipeng⁴^ORCID,Yan Chang⁴,Li Yang⁴,Li Jianqing⁴^ORCID,Liu Chengyu⁵^ORCID

Affiliation:

1. School of Information Science and Engineering, and the State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, China

2. School of Information Science and Engineering, Southeast University, Nanjing, China

3. School of Information Science and Engineering, Southeast University, China

4. State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, China

5. State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/10048704/09880529.pdf?arnumber=9880529

Reference41 articles.

1. Derivation of Respiratory Signals from Single-Lead ECG

2. Respiratory rate extraction from single-lead ECG using homomorphic filtering

3. Data fusion for estimating respiratory rate from a single-lead ECG

4. Variational Mode Extraction: A New Efficient Method to Derive Respiratory Signals from ECG

5. Respiratory Sinus Arrhythmia

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