Variational Autoencoders for Biomedical Signal Morphology Clustering and Noise Detection-Reference-Cited by-同舟云学术

Variational Autoencoders for Biomedical Signal Morphology Clustering and Noise Detection

Published:2024-01 Issue:1 Volume:28 Page:169-180
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Nowroozilarki Zhale¹^ORCID,Mortazavi Bobak J.¹^ORCID,Jafari Roozbeh²^ORCID

Affiliation:

1. Department of Computer Science Engineering, Texas A&M University, College Station, TX, USA

2. Department of Biomedical Engineering, Electrical and Computer Engineering, Computer Science and Engineering, Texas A&M University, College Station, TX, USA

Funder

National Institute of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10380963/10266674.pdf?arnumber=10266674

Reference52 articles.

1. Medical Internet of Things and Big Data in Healthcare

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3. Reliability analysis of an integrated device of ECG, PPG and pressure pulse wave for cardiovascular disease

4. Cuffless blood pressure monitoring from a wristband with calibration-free algorithms for sensing location based on bio-impedance sensor array and autoencoder

5. Effect of adaptive line enhancement filters on noise cancellation in ECG signals

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