Lemana Spahić – författare

This textbook offers a structured and in-depth exploration of biomedical instrumentation, bridging theoretical principles with real-world applications. It provides an overview about the historical evolution of biomedical engineering, illustrating how the field has developed through scientific discovery, technological innovation, and translational applications in medicine. The book focuses on medical devices in healthcare institutions, exploring their components, technical characteristics, clinical applications, regulatory considerations, and emerging trends such as miniaturization, smart devices, and AI integration.Designed primarily for students and researchers, the book also serves as a valuable resource for professionals in biomedical engineering, clinical engineering, and healthcare technology management. A wealth of practical examples, case studies, and multiple choice questions make this book a valuable read for students and professionals working in this field.

This textbook offers a structured and in-depth exploration of biomedical instrumentation, bridging theoretical principles with real-world applications. It provides an overview about the historical evolution of biomedical engineering, illustrating how the field has developed through scientific discovery, technological innovation, and translational applications in medicine. The book focuses on medical devices in healthcare institutions, exploring their components, technical characteristics, clinical applications, regulatory considerations, and emerging trends such as miniaturization, smart devices, and AI integration.Designed primarily for students and researchers, the book also serves as a valuable resource for professionals in biomedical engineering, clinical engineering, and healthcare technology management. A wealth of practical examples, case studies, and multiple choice questions make this book a valuable read for students and professionals working in this field.

This textbook provides a structured introduction to biomedical signals and systems, with a focus on acquisition, processing, and clinical applications of physiological signals. It is designed for researchers and professionals in biomedical engineering, signal processing, and healthcare technology. The book is structured into eight chapters. The first chapter introduces the fundamental concepts of biomedical signals, their acquisition, processing, and the ethical-legal dimensions of their use. Then the focus lies on signal acquisition and processing techniques, while subsequent sections address cardiac, respiratory, and neurological signals, as well as ultrasound and blood pressure analysis. Each chapter balances theoretical foundations with practical examples and clinical applications, reflecting the inherently interdisciplinary nature of biomedical engineering. The book concludes with a review section that summarizes key concepts, provides multiple choice questions, and exercises.

This textbook provides a structured introduction to biomedical signals and systems, with a focus on acquisition, processing, and clinical applications of physiological signals. It is designed for researchers and professionals in biomedical engineering, signal processing, and healthcare technology. The book is structured into eight chapters. The first chapter introduces the fundamental concepts of biomedical signals, their acquisition, processing, and the ethical-legal dimensions of their use. Then the focus lies on signal acquisition and processing techniques, while subsequent sections address cardiac, respiratory, and neurological signals, as well as ultrasound and blood pressure analysis. Each chapter balances theoretical foundations with practical examples and clinical applications, reflecting the inherently interdisciplinary nature of biomedical engineering. The book concludes with a review section that summarizes key concepts, provides multiple choice questions, and exercises.

This textbook provides a comprehensive introduction to intelligent systems, integrating foundational theories, learning paradigms, and practical applications with a specific emphasis on biomedical and healthcare domains. The book combines theoretical foundations with real-world applications and serves as an essential resource for understanding intelligent systems and their transformative role in modern AI-driven biomedical innovations. Ethical and regulatory challenges specific to AI in biomedicine are also discussed. Practice problems and exercises complete this valuable resource for students, researchers, and professionals working in this field.

This textbook provides a comprehensive introduction to intelligent systems, integrating foundational theories, learning paradigms, and practical applications with a specific emphasis on biomedical and healthcare domains. The book combines theoretical foundations with real-world applications and serves as an essential resource for understanding intelligent systems and their transformative role in modern AI-driven biomedical innovations. Ethical and regulatory challenges specific to AI in biomedicine are also discussed. Practice problems and exercises complete this valuable resource for students, researchers, and professionals working in this field.

This textbook provides a comprehensive introduction to biosensors, covering their fundamental principles, diverse applications, and the latest advancements in biosensing technologies. It explores various biosensor types, such as electrochemical biosensors for glucose monitoring and drug analysis, optical biosensors using fluorescence and surface plasmon resonance (SPR) for medical diagnostics and food safety, and impedance biosensors for cellular analysis and cancer detection. Additional sections cover acoustic and piezoelectric biosensors, field-effect transistor (FET)-based biosensors, and cutting-edge nanotechnology-enhanced immunosensors. The book introduces measurement uncertainty in biosensors, addressing sources of variability, calibration methods, and statistical error analysis. The ISO Guide to the Expression of Uncertainty in Measurement (ISO GUM) is discussed, providing methodologies for uncertainty quantification and budgeting with practical case studies. A set of review and practice problems enables readers to test their knowledge. A useful companion for students, researchers, and professionals working in biomedical engineering, analytical chemistry, and sensor technology.