Enhancing Mental Health Care with the Kalman Filter: Predictions, Monitoring, and Personalization-Reference-Cited by-同舟云学术

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Enhancing Mental Health Care with the Kalman Filter: Predictions, Monitoring, and Personalization

Published:2024-07-02 Issue: Volume:9842 Page:1872-1876
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Rahman Syed Azizur¹,Obaideen Khaled²,AlShabi Mohammad³,Al-Yateem Nabeel⁴

Affiliation:

1. College of Health Sciences, University of Sharjah,Department of Health Care Management,Sharjah,UAE

2. Smart Automation and Communication Technologies RISE,Bio-Sensing and Bio-Sensors group,Sharjah,UAE

3. University of Sharjah,Department of Mechanical and Nuclear Engineering,Sharjah,UAE

4. College of Health Sciences University of Sharjah,Nursing department,Sharjah,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633400.pdf?arnumber=10633400

Reference36 articles.

1. An Adaptive Formulation of the Sliding Innovation Filter

2. Application of the sliding innovation filter to unmanned aerial systems

3. Combined Kalman and sliding innovation filtering: An adaptive estimation strategy

4. A comparison of nonlinear filtering methods for blackbody radiation applications in photonics

5. Comparison of nonlinear filtering techniques for photonic systems with blackbody radiation

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