AI-Driven Human-Machine Interaction for Biomedical Engineering : Concepts, Applications, and Methodologies

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AI-Driven Human-Machine Interaction for Biomedical Engineering : Concepts, Applications, and Methodologies

Gupta, Kapil (EDT)/ Bajaj, Varun (EDT)/ Jain, Deepak Kumar (EDT)

ウェブストア価格 ¥39,536（本体¥35,942）
Academic Press Inc（2026/05発売）
外貨定価 US$ 180.00
クリスマスポイント2倍キャンペーン（～12/25）
ポイント 718pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 250 p.
言語 ENG
商品コード 9780443446382

Full Description

AI-Driven Human-Machine Interaction for Biomedical Engineering: Concepts, Applications, and Methodologies offers a comprehensive examination of the intricate relationship between humans and machines, particularly through the transformative lens of artificial intelligence (AI). As AI technologies rapidly evolve, understanding their implications for human-machine interaction (HMI) has become essential across various domains, especially healthcare. This book addresses the pressing need for insights into AI-driven methodologies, providing scholars, practitioners, and learners with foundational knowledge and practical applications that enhance collaboration between human cognition and machine capabilities. Structured into well-defined chapters, the book begins with an introduction to AI-driven HMI, laying the groundwork for understanding its significance in sustainable healthcare and beyond. Subsequent chapters explore critical topics such as machine learning principles, advanced biomedical data classification methods, and the role of AI in telemedicine. Readers will delve into cutting-edge techniques, from deep learning to non-invasive computer vision, and examine the implications of these technologies across industries. Each chapter equips readers with actionable insights and highlights emerging trends, ethical considerations, and the future of AI in HMI, ensuring a well-rounded perspective on this dynamic field. AI-Driven Human-Machine Interaction for Biomedical Engineering: Concepts, Applications, and Methodologies is an invaluable resource for researchers, academics, and students in the fields of Biomedical Engineering, Computer Science, Data Science, Artificial Intelligence, and Healthcare Technology. By bridging theoretical foundations with practical applications, this book empowers its readers to effectively harness AI technologies, driving innovation and improving outcomes in healthcare and various sectors.

1. Introduction to AI-driven Human-Machine Interaction
2. Basics, Constraints, and Future Potential of Machine Learning in HMI
3. Cutting-edge Methods for Biomedical Data Classification based on Machine Learning
4. AI in Telemedicine
5. Applications Across Industries
6. Two-stage Verifications for Multi-Instance Feature Selection: A Machine Learning-Based Approach
7. A practical EMG-based Intelligent human-computer interface
8. Computer Vision for Human-Computer Interaction Using Non-invasive Technology
9. Human-computer interaction principles for cardiac feedback
10. The Future of AI-Driven HMI
11. Biomechanics computation for medical image interpretation
12. Large-scale demographic imaging biomarkers based on machine learning
13. Support vector machine in the processing of medical images
14. Computer-aided interventional therapy
15. HMI in healthcare imaging and medical treatments