On the Dynamics of a Capacitive Microplate for Blood Pressure Sensing Based on Korotkoff Sounds
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Instrumentation
Link
https://link.springer.com/content/pdf/10.1007/s11220-022-00410-5.pdf
Reference29 articles.
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2. Senturk, U., Polat, K., & Yucedag, I. (2020). A non-invasive continuous cuffless blood pressure estimation using dynamic Recurrent Neural Networks. Applied Acoustics, 170, 107534. https://doi.org/10.1016/j.apacoust.2020.107534
3. Yeruva, S., Varalakshmi, MSh., Gowtham, B. P., Chandana, Y. H., & Krishna Prasad, P. (2021). Identification of Sickle cell anemia using deep neural networks. Emerging Science Journal, 5(2), 200–210.
4. Fazelabdolabadi, B., Montazeri, M., & Pourafshary, P. (2021). A data mining perspective on the confluent ions’ effect for target functionality. HighTech and Innovation Journal, 2(3), 202–215. https://doi.org/10.28991/HIJ-2021-02-03-05
5. Geddes, L. A. (1991). Handbook of blood pressure measurement (1st ed.). Springer.
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