A novel short-term blood pressure prediction model based on LSTM-Reference-Cited by-同舟云学术

A novel short-term blood pressure prediction model based on LSTM

Published:2019 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
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Author:

Zhao Qingxiang,Hu Xiaobing,Lin Jing,Deng Xi,Li Hang

Publisher

Author(s)

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5085516

Reference15 articles.

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2. Chinese Hypertension League, ET, al. Chinese experts’ agreements on the clinical application of dynamic blood pressure monitoring [J], Chin J Hypertens, 2015, 23(8):727–730.

3. Zhang Jinghui, Tang Hong, Research on prediction method of left ventricular blood pressure based on external heart sounds [J], Journal of Biomedical Engineering, 2017, 34(3): 335–341.

4. Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques

5. Qu Shihua, Wu Huawei, Qian Zhiyu, Li Weitao, ET al. The improved algorithm of noninvasive blood pressure measurement based on characteristic parameters of pulse wave[J], Journal of Biomedical Engineering Research, 2018, 37(1):36–41.

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