Personalized Blood Pressure Control by Machine Learning for Remote Patient Monitoring-Reference-Cited by-同舟云学术

Personalized Blood Pressure Control by Machine Learning for Remote Patient Monitoring

Published:2024 Issue: Volume:12 Page:83994-84004
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mai V. T.¹^ORCID,Alattas Khalid A.²^ORCID,Bouteraa Yassine³^ORCID,Ghaderpour Ebrahim⁴^ORCID,Mohammadzadeh Ardashir⁵^ORCID

Affiliation:

1. Faculty of Engineering, Dong Nai Technology University, Bien Hoa City, Vietnam

2. Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

3. Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-kharj, Saudi Arabia

4. Department of Earth Sciences, Sapienza University of Rome, Rome, Italy

5. Multidisciplinary Center for Infrastructure Engineering, Shenyang University of Technology, Shenyang, China

Funder

Sapienza Università di Roma

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10555223.pdf?arnumber=10555223

Reference32 articles.

1. Optimal Interval Type-2 Fuzzy Logic Control Based Closed-Loop Regulation of Mean Arterial Blood Pressure Using the Controlled Drug Administration

2. Mean arterial pressure‐embedded model for real‐time simulation and controller validation

3. Design of a switched robust control scheme for drug delivery in blood pressure regulation

4. Improving regulation of mean arterial blood pressure during anesthesia through estimates of surgery effects

5. Design of a fractional order two layer fuzzy logic controller for drug delivery to regulate blood pressure