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Bioelectrical Signal Processing in Cardiac and Neurological Applications

Description The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological… Continue reading Bioelectrical Signal Processing in Cardiac and Neurological Applications

Getting Started with EEG Neurofeedback (Second Edition)

The long-awaited update to Demos’s classic book for the practitioner looking to add neurofeedback. Neurofeedback training combines the principles of complementary medicine with the power of electronics. This book provides lucid explanations of the mechanisms underlying neurofeedback as well as the research history that led to its implementation. Essential for all clinicians in this field,… Continue reading Getting Started with EEG Neurofeedback (Second Edition)

Brain Computer Interface EEG Signal Processing

Brain 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… Continue reading Brain Computer Interface EEG Signal Processing

Beginner’s Guide to Reading Schematics

Written by an experienced engineer, this easy-to-follow TAB guide shows, step-by-step, how to navigate the roadmaps of electronic circuits and systems. Filled with new illustrations and DIY examples, the book clearly explains how to understand and create high-precision electronics diagrams. You will discover how to identify parts and connections, interpret element ratings, and apply diagram-based… Continue reading Beginner’s Guide to Reading Schematics

Common Models in Autonomous Vehicles, Unmanned Vehicles, and Drones

Common Neural Network Models in Autonomous Vehicles, Unmanned Vehicles, and Drones Below is a list of neural network architectures commonly applied in autonomous systems, along with their applications and relevant vehicle types: Convolutional Neural Networks (CNNs):Used extensively for image and video analysis, CNNs are fundamental for visual perception tasks in autonomous vehicles and drones. Recurrent… Continue reading Common Models in Autonomous Vehicles, Unmanned Vehicles, and Drones