Signal processing strategies /

Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This help...

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Drugi avtorji: El-Baz, Ayman S. (Editor), Suri, Jasjit S. (Editor)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: London, United Kingdom : Academic Press, [2025].
Serija:Advances in Neural Engineering
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Online dostop:ScienceDirect
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520 |a Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human-machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions. To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics. Volume 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. 
588 0 |a Online resource; title from PDF title page (ScienceDirect, viewed November 12, 2024). 
505 8 |a Front Cover -- Signal Processing Strategies -- Signal Processing Strategies -- Copyright -- Contents -- Contributors -- 1 -- Framework for segmentation, optimization, and recognition of multivariate brain tumors -- 1. Introduction -- 2. Literature review -- 3. Background -- 3.1 Segmentation -- 3.2 Convolutional neural network -- 3.3 Parameters optimization -- 3.4 Transfer learning -- 3.5 Data augmentation -- 3.6 Metaheuristic optimization -- 3.6.1 Sparrow search algorithm -- 3.7 Performance metrics -- 4. Methodology -- 4.1 Dataset acquisition and preprocessing -- 4.1.1 Datasets acquisition -- 4.1.2 Datasets preprocessing -- 4.2 Segmentation phase -- 4.2.1 The U-Net model -- 4.2.2 The U-Net++ model -- 4.2.3 The attention U-Net model -- 4.2.4 The V-Net model -- 4.3 Learning and optimization -- 4.3.1 Initialization -- 4.3.2 Objective function calculation  |7 Generated by AI 
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650 0 |a Neural networks (Neurobiology) 
650 6 |a Traitement du signal  |x Techniques numériques.  |0 (CaQQLa)201-0087536 
650 6 |a Réseaux neuronaux (Neurobiologie)  |0 (CaQQLa)201-0244857 
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