Separation of normal and impaired dynamic cerebral autoregulation using deep embedded clustering: a proof-of-concept study-Reference-Cited by-同舟云学术

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Separation of normal and impaired dynamic cerebral autoregulation using deep embedded clustering: a proof-of-concept study

Published:2021-07-01 Issue:7 Volume:42 Page:074002
ISSN:0967-3334
Container-title:Physiological Measurement
language:
Short-container-title:Physiol. Meas.

Author:

Wu Menglu,Zhang Wei,Guo Zhenni,Song Jianing,Zeng Yuhong,Huang Yuyu,Yang Yi,Zhang Pandeng,Liu Jia

Funder

National Natural Science Foundation of China

Science, Technology and Innovation Commission of Shenzhen Municipality

Publisher

IOP Publishing

Subject

Physiology (medical),Biomedical Engineering,Physiology,Biophysics

Link

https://iopscience.iop.org/article/10.1088/1361-6579/ac0e81/pdf

Reference43 articles.

1. Cerebral autoregulation dynamics in humans;Aaslid;Stroke,1989

2. Adaptive control processes: a guided tour;Bellman,2015

3. Locally consistent concept factorization for document clustering;Cai;IEEE Trans. Knowl. Data Eng.,2011

4. Cerebral blood flow autoregulation in ischemic heart failure;Caldas;Am. J. Physiol.Regul. Integ. Compar. Physiol.,2017

5. Non-linear models for the detection of impaired cerebral blood flow autoregulation;Chacón;PLoS One,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review;Artificial Intelligence Review;2024-08-08

2. Editorial: Control of cerebral blood flow;Physiological Measurement;2022-05-25

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