Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and Deep Learning-Reference-Cited by-同舟云学术

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Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and Deep Learning

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Argha Ahmadreza,Celler Branko G.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8844528/8856280/08857464.pdf?arnumber=8857464

Cited by 10 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. B³X: a novel efficient algorithm for accurate automated auscultatory blood pressure estimation;Physiological Measurement;2023-09-01

2. Comparison of seven shallow and deep regressors in continuous blood pressure and heart rate estimation using single-channel photoplethysmograms under three evaluation cases;Biomedical Signal Processing and Control;2023-08

3. Survey and Evaluation of Hypertension Machine Learning Research;Journal of the American Heart Association;2023-05-02

4. Piezoelectric approaches for wearable continuous blood pressure monitoring: a review;Journal of Micromechanics and Microengineering;2022-08-19

5. Piezoelectric Dynamics of Arterial Pulse for Wearable Continuous Blood Pressure Monitoring;Advanced Materials;2022-03-14

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