Taylor & Francis e-Books

Department: Biomedical Engineering
SL NO Title Cover page SL NO Title Cover page
01

Bionanomaterials for Biosensors, Drug Delivery, and Medical Applications

First published:13 December 2023

Edited ByWon-Chun Oh, Suresh Sagadevan

About this book: This book covers advances in nanostructured materials across a variety of biomedical applications as the field evolves from development of prototype devices to real-world implementation. It provides an in-depth look at the current state of the art in oxide nanostructures, carbon nanostructures, and 2D material fabrication and highlights the most important biomedical applications and devices of nanomaterials, including drug delivery, medical imaging, gene therapy, biosensors, and diagnostics.

Barcode:E-179 02

Machine Learning and Deep Learning Techniques for Medical Image Recognition

Edited ByBen Othman Soufiene, Chinmay Chakraborty

About this book: Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples.

Barcode:E-180
03

Data Modelling and Analytics for the Internet of Medical Things

First published:22 December 2023

Edited ByRajiv Pandey, Pratibha Maurya, Raymond Chiong

About this book: The emergence of the Internet of Medical Things (IoMT) is transforming the management of diseases, improving diseases diagnosis and treatment methods, and reducing healthcare costs and errors. This book covers all the essential aspects of IoMT in one place, providing readers with a comprehensive grasp of IoMT and related technologies. Data Modelling and Analytics for the Internet of Medical Things integrates the architectural, conceptual, and technological aspects of IoMT, discussing in detail the IoMT, connected smart medical devices, and their applications to improve health outcomes. It explores various methodologies and solutions for medical data analytics in healthcare systems using machine learning and deep learning approaches, as well as exploring how technologies such as blockchain and cloud computing can further enhance data analytics in the e-health domain. Prevalent IoMT case studies and applications are also discussed. This book is suitable for scientists, design engineers, system integrators, and researchers in the field of IoMT. It will also be of interest to postgraduate students in computer science focusing on healthcare applications and a supplementary reading for IoMT courses.

Barcode:E-181 04

Advanced Photonics Methods for Biomedical Applications

Edited ByEdik Rafailov, Tatjana Gric

About this book: Advanced photonics methods for biomedical applications give researchers in universities and industries, and clinicians an overview of the novel tools for cancer diagnostics and treatment. This book provides researchers and professionals in the area of biomedical photonics with a toolbox of novel methodologies for biomedical applications, including health diagnostics, cancer detection, and treatment. It covers the theory, modeling, and design of each method, alongside their applications, fabrication, characterization, and measurements in clinical practice. A wide scope of concepts concerning innovative science and technologies of medicine will be covered, providing the readers with the latest research, developments, and technologies. It will also be a valuable resource for students and early-career researchers, alongside those involved in the design of the novel photonics-based techniques for health diagnostics and cancer detection and treatment.

Barcode:E-182
05

Brain Computer Interface : EEG Signal Processing

First published:29 July 2022

Authors:Narayan Panigrahi, Saraju P. Mohanty

About this book: TBrain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade, fix, and blink from EEG and EOG data..

Barcode:E-183 06

Bionanotechnology : Principles and Applications

Author: Anil Kumar Anal

About this book: This book deals with a subject of high interest and importance in all sectors, including biomedical, food, agriculture, energy, and environment. Biological systems are essential in nanotechnology, and many new applications are being developed by mimicking the natural systems. Approaching these topics from an engineering perspective, the book offers insight on the details of nanoscale fabrication processes as well as cell biology. The basics of biology and chemistry, with a focus on how to engineer the behavior of molecules at the nanoscale, are also explored and analyzed. The aim of the text is to provide the reader with broader knowledge of biological methods for signal transduction and molecular recognitions systems and how they can be replicated in bio-sensing applications. The reader will learn the basic structures and interactions of biomacromolecules for developing biocompatible and eco-friendly devices.

Barcode:E-184