Classifier for the functional state of the respiratory system via descriptors determined by using multimodal technology-Reference-Cited by-同舟云学术

Classifier for the functional state of the respiratory system via descriptors determined by using multimodal technology

Published:2022-10-28 Issue: Volume: Page:1-19
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Filist Sergey Alekseevich¹,Al-kasasbeh Riad Taha²,Shatalova Olga Vladimirovna¹,Aikeyeva Altyn Amanzholovna³,Al-Habahbeh Osama M.⁴,Alshamasin Mahdi Salman⁵,Alekseevich Korenevskiy Nikolay¹,Khrisat Mohammad²,Myasnyankin Maksim Borisovich²,Ilyash Maksim⁶

Affiliation:

1. Department of Biomedical Engineering, Faculty of Fundamental and Applied Informatics, Southwestern State University, Kursk, Russia

2. Department of Mechatronics Engineering, School of Engineering, University of Jordan, Amman, Jordan

3. Department of Radio Engineering, Electronics and Telecommunications, Faculty of Physics and Technology, L.N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan

4. Mechatronics Engineering Department, The University of Jordan, Amman, Jordan

5. Department of Mechatronics Engineering, Al-Balqa Applied University, Faculty of Engineering Faculty, Amman, Jordan

6. National Research University of Information Technologies, Mechanics and Optics (ITMO University), Saint-Petersburg, Russian Federation

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2022.2117551

Reference64 articles.

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2. Synthesis of Fuzzy Logic for Prediction and Medical Diagnostics by Energy Characteristics of Acupuncture Points

3. Prediction and prenosological diagnostics of heart diseases based on energy characteristics of acupuncture points and fuzzy logic

4. Application of fuzzy analysis with the energy condition of bioactive points to the prediction and diagnosis of gastrointestinal tract diseases

5. Biotechnical measurement and software system controlled features for determining the level of psycho-emotional tension on man–machine systems by fuzzy measures

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