Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology

This book explores the intersection of signal processing, medicine, and biology, highlighting the role of signal processing in enabling new technologies based on big data. It covers topics such as medical image analysis, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation.

Format: Hardback
Length: 204 pages
Publication date: 20 July 2022
Publisher: Springer Nature Switzerland AG

This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), it examines the vital role signal processing plays in enabling a new generation of technology based on big data and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.

The book explores the role of signal processing in enabling a new generation of technology based on big data, with applications ranging from medical electronics to data mining of electronic medical records. It emphasizes the importance of interdisciplinary collaboration between healthcare practitioners and signal processing researchers.

The book provides tutorials and examples of successful applications in biomedical sensing and analysis, including medical image analysis, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. It will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.

The book is organized into five chapters, each covering a different aspect of signal processing and biomedicine. The first chapter provides an introduction to the field, while the remaining chapters focus on specific applications.

The first chapter introduces the concept of signal processing and its applications in biomedicine. It discusses the importance of signal processing in enabling the analysis of medical images, such as MRI and CT scans, and in developing new diagnostic tools and therapies. The chapter also highlights the role of signal processing in machine learning, which is used to analyze large datasets and identify patterns that can be used to predict disease outcomes and develop new treatments.

The second chapter focuses on biomedical nanosensors, which are small devices that can detect and measure biological signals. It discusses the development of new nanosensors for various applications, such as monitoring blood glucose levels, detecting cancer cells, and monitoring heart health. The chapter also explores the use of nanosensors in wireless technologies, such as Bluetooth and Wi-Fi, for remote monitoring and healthcare applications.

The third chapter explores the use of wireless technologies in healthcare, including telemedicine, wearable devices, and remote monitoring systems. It discusses the development of new wireless technologies for medical imaging, such as 3D ultrasound and MRI, and the use of wireless technologies for remote monitoring of patients with chronic diseases. The chapter also explores the use of wireless technologies in data mining of electronic medical records, which can be used to identify patterns and trends that can improve patient care and reduce healthcare costs.

The fourth chapter focuses on instrumentation and electrical stimulation in biomedicine. It discusses the development of new instrumentation for medical imaging, such as PET and MRI scanners, and the use of electrical stimulation for the treatment of neurological disorders, such as Parkinson's disease and spinal cord injuries. The chapter also explores the use of instrumentation and electrical stimulation in wireless technologies, such as Bluetooth and Wi-Fi, for remote monitoring and treatment of patients.

The fifth chapter discusses the future of signal processing and biomedicine. It discusses the challenges and opportunities that lie ahead, such as the development of new technologies for personalized medicine, the integration of artificial intelligence and machine learning into healthcare, and the development of new standards and regulations for the use of medical data. The chapter also highlights the importance of interdisciplinary collaboration and the need for continued research and development in the field.

In conclusion, Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology is a valuable resource for professionals, researchers, and students interested in applications of signal processing, medicine, and biology. It provides an interdisciplinary look at emerging trends in the field and promotes collaboration between healthcare practitioners and signal processing researchers. The book offers tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.

Weight: 489g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030993825
Edition number: 1st ed. 2022