• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Nyheter
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Pocketböcker
  • Spel & pussel

10% rabatt på allt med kod NYSTART10 →

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Populära bokserier
    • Barnbokskaraktärer
    • Populära författare
    Logotyp för Bokus
    Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
    bokus @ CookiesAnpassa cookiesIntegritetspolicyKöpvillkor
    Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
    1. Medicin
    2. Omvårdnad och medicinska stödfunktioner
    3. Biomedicinsk teknik

    AI-Driven Human-Machine Interaction for Biomedical Engineering

    Concepts, Applications, and Methodologies

    AvKapil Gupta,Varun Bajaj

    Häftad, Engelska, 2026

    1 824 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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. 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, while also examining 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. This is an invaluable resource for researchers, academics, and students in the fields of Biomedical Engineering, Computer Science, Data Science, Artificial Intelligence, and Healthcare Technology.

    • Offers practical insights into AI-driven methodologies for enhanced human-machine collaboration in healthcare and beyond
    • Provides foundational knowledge of machine learning principles applicable across diverse industries
    • Equips readers with cutting-edge techniques for biomedical data classification and analysis
    • Addresses ethical considerations and emerging trends in AI applications for informed decision-making
    • Facilitates innovation by bridging theoretical concepts with real-world applications in human-machine interaction

    Produktinformation

    • Utgivningsdatum:2026-04-22
    • Mått:191 x 235 x 22 mm
    • Vikt:790 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:382
    • Förlag:Elsevier Science
    • ISBN:9780443446382

    Utforska kategorier

    • Biomedicinsk teknik inom Medicin
    • Biokemisk teknik inom Naturvetenskap och teknik
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    Dr. Kapil Gupta earned his Ph.D. from the Indian Institute of Information Technology, Design and Manufacturing (IIITDM), Jabalpur, India. He served as an Assistant Professor in Electronics and Communication Engineering at Oriental College of Technology, Bhopal, from 2013 to 2020. He holds a B.E. with Honors in Electronics and Communication Engineering and an M.Tech. in Nano Technology. His research interests encompass signal processing in biomedical applications, time-frequency analysis, artificial intelligence, and cardiovascular systems. Dr. Gupta has published extensively in reputed journals and serves as a reviewer for IEEE and Elsevier. He has organized numerous national and international conferences and has been involved in various technical committees. Dr. Varun Bajaj is an Associate Professor in Electronics and Communication Engineering at Maulana Azad National Institute of Technology Bhopal, India, starting January 2024. Previously, he served at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur from 2014 to 2024, initially as an Assistant Professor and later as an Associate Professor. He earned his Ph.D. in Electrical Engineering from IIT Indore in 2014, following an M.Tech. in Microelectronics and VLSI Design in 2009, and a B.E. in Electronics and Communication Engineering in 2006. Dr. Bajaj holds various editorial roles, including Associate Editor for the IEEE Sensor Journal and Subject Editor-in-Chief for IET Electronics Letters. A Senior Member of IEEE since 2020, he actively reviews for numerous journals and has delivered over 50 expert talks. He has received multiple awards for his research and has been recognized among the top 2% of researchers globally by Stanford University from 2020 to 2023. Dr. Deepak Kumar Jain is an Associate Professor at the School of Control Science and Engineering at Dalian University of Technology, China, since July 2023. Previously, he was an Assistant Professor at Chongqing University of Posts and Telecommunications. He earned his Bachelor of Engineering in 2010 and a Master of Technology in 2012 from Indian institutions, followed by a Ph.D. at the University of Chinese Academy of Sciences in 2018, supported by the CAS-TWAS Presidential Fellowship. Recognized as a "Foreign Expert" by the Shandong Taian Administration, Dr. Jain has also served as an Adjunct Professor at Symbiosis International University in India. He has approximately fifty publications with a citation count of 3000 and has contributed to numerous peer-reviewed journals. A senior member of IEEE, he is involved in several editorial roles and conferences, including delivering keynote talks internationally. His research focuses on deep learning, machine learning, pattern recognition, and computer vision. Dr. Raul Villamarin Rodriguez is Vice President of Woxsen University and holds professorships in cognitive psychology and integrative research. He also serves as an Adjunct Professor at Universidad del Externado in Colombia and sits on international advisory boards in Europe and Russia. He holds a PhD in artificial intelligence and robotic process automation in human resources and specialises in machine learning, deep learning, natural language processing, and emerging areas such as quantum AI. He contributes to global academic initiatives, including expert groups focused on responsible management education and pedagogy. Dr. Rodriguez is recognised as an expert by the European Commission and actively contributes to research, publishing, and academic service through authorship, editorial roles, and peer review for leading journals. His work focuses on advancing AI-driven innovation, analytics, and digital learning in higher education and applied research contexts.Dr. Hemachandran Kannan is a Professor in the Department of Artificial Intelligence & Business Analytics at Woxsen University, India, where he holds the Zita Zoltay Paprika Chair in Decision Sciences and Business Economics, as well as the Course5i Chair in Business Analytics and Machine Learning. With 15 years of teaching and 5 years of research experience, he is a dedicated educator skilled in AI and Business Analytics. After earning a Ph.D. in Embedded Systems, Dr. Kannan shifted his focus to interdisciplinary research. He has served as a resource person at numerous national and international conferences and has lectured on AI and Business Analytics topics. Recognized as Best Faculty at Woxsen University (2021-2022) and Ashoka Institute of Engineering & Technology (2019-2020), he has expertise in Natural Language Processing, Computer Vision, and autonomous systems.

    Innehållsförteckning

    • 1. Basics, Constraints, and Future Potential of Machine Learning in HMI2. Human-Computer Interaction for Cardiac Feedback: A Physics-Guided Deep Learning Approach3. Classification of Steady State Visual Evoked Potentials in Brain-Computer Interface systems using Python4. Contactless Vital Sign Monitoring Through Intelligent Human-Machine Interaction (HMI): A Systematic Review of Image- and Video-Based Techniques5. AI-driven Scalable Software Architecture for Enhancing Human-Machine Interaction in Biomedical Data Ecosystems6. AI-Driven Depression Detection Using EEG Signal Determinants and MTO7. EEG-Driven Machine Learning for Recognition of Emergency Numbers for Crisis Readiness: A Translational Study8. Suppression of Artifacts from EEG Signals using Quadratic Relative Error based LMS (QRE-LMS) Algorithm9. Two-Stage Verification for Multi-Instance Feature Selection in Dental Anomaly Detection: A CNN-GRU Approach with Explainable AI and Optimization Techniques10. Performance Evaluation of Vision Transformers for AI-driven Diagnosis of Bleeding Detection in Wireless Endoscopy Bleeding11. Human Machine Interface In Healthcare Imaging And Medical Treatments12. State-of-the-art methods for diagnosis of acute leukemia: A survey13. Optimized Feature Subsets for Characterizing Fetal QRS Complexes in Non-Invasive Abdominal ECG Recordings14. Multimodal AI in Human-Computer Interaction: Transforming Medical Feedback Delivery15. Computer Vision for AI-Driven Human-Machine Interaction and Enhanced Diagnosis16. Human-Machine Interaction in AI-Assisted Medical Diagnosis: Challenges and Future Directions