Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing

ISBN-13: 9781032386942 / Twarda / 2024 / 520 str.

Opis

The book contains up-to-date noninvasive monitoring and diagnosing systems closely developed by a set of scientists, engineers, and physicians. The chapters are the results of different biomedical projects and theoretical studies that were coupled by simulations and real-world data.

Spis treści

1. Upper Limb Recovery Prediction Based on Multilevel Mixed Effect EMG Synergy and Biomarker Values.  2. EMG Feature Extraction Based on Cardinality with Deep Learning Concepts.  3. Surface Electromyography Sensors for Human Activity Recognition: Recent Advancements and Perspectives.  4. ECG signal monitoring and processing in the operating room.  5. Photoplethysmography and Inertial Sensors in Wearable Devices for Healthcare: Multimodal Signal Processing for Increasing Accuracy.  6. Non-invasive system for measuring parameters relevant to sleep quality and detecting sleep diseases: The data model.  7. PREDICTING INCIDENCE OF STROKE VIA SUPERVISED MACHINE LEARNING METHODS ON CLASS IMBALANCED DATA.  8. Ultrasound vector flow imaging, a promising technique towards a new carotid atheroma risk stratification.  9. A Pre-screening Technique for Coronary Artery Disease with Multi-channel Phonocardiography and Electrocardiography.  10. Exploring the feasibility of estimating the carotid-to-femoral pulse wave velocity using machine learning algorithms.  11. DVT Diagnosis based on HOS & Scattering Operators.  12. Non-invasive AI-assisted Techniques for 3D Printing of the Heart via Image Analysis: Current State, Challenges, and Future Directions.  13. COVID-19 and Pneumonia Detection System using Deep Learning with Chest X-ray Images.  14. Scattering Operators and high order statistics along with Elastography to Identify & Characterize Salivary Gland Abnormalities.  15. SA-SVM Classification-Based Smart Feature Selection Algorithm for Skin Cancer Detection.  16. A Review on Advanced CNN Architecture in Diagnosing Alzheimer’s Disease.  17. Combination of sensors-based monitoring system and internet of things (IoT): A survey and framework for remote and intensive care unit patients.  18. End-to end solutions for the Remote Monitoring of Post-operative Prehabilitation program: IoT solution challenges.  

O autorze

Prof. Adel Al-Jumaily is a researcher and academic leader with more than two decades of experience. He is a professor at the University of Technology Brunei and professor Research-Fellow at ENSTA-Bretagne. His research area is Computational Intelligence and Humanized Computational Intelligence. He has published more than 250 peer-reviewed papers. He has 13 patents that 12 of which are sponsored by industry. Adel has supervised more than 40 PhD and master’s students and received two supervision awards.

Prof. Ali Mansour held many positions: Postdoctoral at LTIRF-INPG (Grenoble-France), Researcher at BMC–RIKEN (Nagoya-Japan), Teacher-Researcher at ENSIETA (Brest-France), Senior-Lecturer at Curtin-University (Perth-Australia), Invited-Professor at ULCO (Calais-France), Professor at Tabuk University (KSA), and recently Professor at ENSTA-Bretagne (Brest-France). He published numerous refereed publications, several books and book chapters. He supervised many Post-Docs, PhD and MScs. He is interested in Statistics, signal processing, robotics, telecom, biomedical engineering, electronic warfare & cognitive radio.

Prof. Paolo Crippa is an Associate Professor of electronics at the Department of Information Engineering of the Università Politecnica delle Marche, Ancona, Italy. His research interests include micro and nanoelectronics, statistical device modeling, mixed-signal and RF integrated circuit design, biomedical circuits, systems and signal processing, neural networks, and non-linear system identification. He has published more than 120 papers in international journals, edited books, and conference proceedings. He is a member of the editorial boards and technical program committees of several international scientific journals and conferences. He is an IEEE Senior Member and member of the Italian AEIT.

Prof. Claudio Turchetti received the Laurea degree in electronics engineering from the University of Ancona, Italy, in 1979. He joined the Università Politecnica delle Marche, Ancona, in 1980, where is currently a Full Professor of Embedded Systems design. He has published more than 160 papers. The most relevant are on IEEE J. of Solid-State Circuits, IEEE Trans. on Electron Devices, IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Signal Processing, IEEE Trans. on Cybernetics, IEEE J. of Biomedical and Health Informatics, IEEE Trans. on Consumer Electronics, IEEE Journal on emerging and selected topics in Circuits and systems, IEEE Access, IEEE open journal on circuits and systems.