Handbook of Neuroengineering / / edited by Nitish V. Thakor |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (3686 pages) |
Disciplina | 345.04 |
Soggetto topico |
Biomedical engineering
Neurosciences Control engineering Robotics Automation Biophysics Radiology Biomaterials Biomedical Engineering and Bioengineering Neuroscience Control, Robotics, Automation |
ISBN |
9789811655401
9789811655395 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Editorial / Excerps -- Subcellular Compartmentalization for Neurobiology: Focusing on the Axon -- Microfluidic Culture Platforms in Neuroscience Research -- Flexible and Soft Materials and Devices for Neural Interface -- Coatings for Microneural Implants: Biological and Mechanical Considerations -- Coatings for Microneural Implants: Electrical Considerations -- Quantitative Assessment of the Mechanical Properties of the Neural Interface -- Biomimetic Approaches Towards Device-Tissue Integration -- Implantable Device Fabrication and Packaging -- State-of-the-Art Technology on MEAs for Interfacing Live Neurons -- Distributed Neural Interfaces: Challenges and Trends in Scaling Implantable Technology -- Challenges for Large Scale Brain-Machine Interfaces -- Organic Bioelectronics -- High-Density Fiberless Optoelectrodes with Integrated Waveguides and μLEDs -- Nanostructured Platforms Interfacing with Nervous System -- Neuroflex: Intraneural and Extraneural Flexible Sensor Architectures for Neural Probing -- Regenerative Electrodes for Peripheral Nerve Interfacing -- Neurochemical Sensing -- Ultrasonic Wireless Neural Recording and Stimulation Interfaces -- Neural Drug Delivery -- Design Considerations for Implantable Neural Circuits and Systems -- Neuroprosthesis and Functional Electrical Stimulation (Peripheral) -- Analogue Front-End Design for Neural Recording -- Implantable Direct Current Neural Modulation -- Energy-Efficient Electrical Stimulation Systems -- Wireless Bioelectronic Interfaces Electromagnetic Performance and Safety -- State-of-the-art technology on Highly Miniaturized Free-Floating Neural Implants -- Peripheral Neural Interfaces (PNIs) for Decoding Motor Intentions and Encoding Somatosensations in Upper-Limb Amputees -- Modeling Peripheral Nerve Stimulation -- Spinal Interfacing via Muscle Recordings for Neuroprosthesis Control -- Towards a wireless implantable brain-machine interface for locomotion control -- Visual Prostheses: Neuroengineering Handbook -- Vision: Optogenetics Addressing AMD Diseases -- Brain-Machine Interfaces for Upper and Lower Limb Prostheses -- Developing a Neuroprosthesis for Memory: The Past, Present, and Future -- Noninvasive and Invasive BCIs and Hardware and Software Components for BCIs -- Brain Co-processors: Using AI to Restore and Augment Brain Function -- Artificial Sensory Feedback to the Brain: Somatosensory Feedback for Neural Devices and BCI -- Brain-Computer Interface for Stroke Rehabilitation -- Brain-Machine Interfaces for Closed-Loop Electrical Brain Stimulation in Neuropsychiatric Disorders -- Brain-machine interfaces: from restoring sensorimotor control to augmenting cognition -- Motor BMIs Have Entered the Clinical Realm -- Neuromorphic Neural Interfaces -- Neuromorphic Circuits and Systems: From Neuron Models to Integrate-and-Fire Arrays -- Neuromorphic spiking neural network algorithms -- Programming Neuromorphics Using the Neural Engineering Framework -- Sensing-to-Learn and Learning-to-Sense: Principles for Designing Neuromorphic Sensors -- Neuromorphic Tactile Sensing and Encoding -- Neuromorphic Sensing, Perception and Control for Robotics -- Emerging Technologies in Neuroengineering to Advance Rehabilitation, Improve Quality of Care Delivery, and Encourage Independent Living -- Neural Interfaces involving the CNS and PNS combined with upper limb actuators for motor rehabilitation after stroke: technical and clinical considerations -- Hybrid robotics and neuroprosthetics for associative neurorehabilitation -- Neuroprosthesis and Functional Electrical Stimulation (Peripheral) -- Brain-Machine Interfaces for Neurorobotics -- Neurorehabilitation with Virtual and Augmented Reality Tools -- Content Augmentation in Virtual Reality with Cognitive-Conflict-Based Brain-Computer Interface -- Neuroengineering of the Upper Limb: Manipulation of the Peripheral and Central Nervous System to Improve Function -- Optimal and Adaptive Stimulation Design -- Mechanisms and Targeting of Deep-Brain Stimulation Therapies -- Noninvasive Electrical Brain Stimulation of the Central Nervous System -- Transcranial Ultrasound Stimulation -- Biophysics and Mechanisms of Spinal Cord Stimulation for Chronic Pain -- Modeling of the Peripheral Nerve to Investigate Advanced Neural Stimulation (Sensory Neural Prosthesis) -- Closed-Loop Visceral Bioelectronics Therapies -- Models for Closed-Loop Cardiac Control Using Vagal Nerve Stimulation -- Sacral Nerve Stimulation for Gastrointestinal Disorders -- Sudden Deaths: A Failure of Feedback Control -- Electrical Block of Peripheral Nerves -- EEG Models and Analysis -- EEG-Based Machine Learning: Theory and Applications -- Neural Encoding and Decoding -- State Space Models for Spike Data -- Quantitative Modeling on Nonstationary Neural Spikes: From Reinforcement Learning to Point Process -- Real-Time Detection of Acute Pain Signals Based on Spikes/LFP -- Graph Theory for Brain Signal Processing -- Neuroscience of Cognitive Functions: From Theory to Applications -- Brain’s Networks and Their Functional Significance in Cognition -- Cognitive State Analysis, Understanding, and Decoding from the Perspective of Brain Connectivity -- Vigilance Assessment and Enhancement -- Cognitive State Assessment and Monitoring: A Brain Connectivity Perspective -- Deep Learning Methods for EEG Neural Classification -- Consumer Neuroscience: A Neural Engineering Approach -- Multimodal Neuroimaging with Simultaneous fMRI and EEG -- Structural Neuroimaging: From Macroscopic to Microscopic Scales -- Shape Diffeomorphometry of Brain Structures in Neurodegeneration and Neurodevelopment -- Mapping Brain Networks Using Multimodal Data -- Multimodal and Multiparametric Neuroimaging of Gliomas -- Functional Monitoring and Imaging in Deep Brain Structures -- Optical Imaging of Epileptic Seizures -- Photoacoustic Imaging Tools for Neurological Applications -- Quantitative EEG Analysis in Intensive Care Patients -- Using Connectivity to Explain Neuropsychiatric Conditions: The Example of Autism -- Determining the Role of Synchrony Dynamics in Epileptic Brain Networks -- Computational Approaches for Diagnosis and Monitoring of Epilepsy from Scalp EEG -- Somatosensory neuromodulation with a focus towards clinical systems -- A Neuroprosthetic for Individuals with Tetraplegia: The path from a clinical research tool to a home-use assistive device -- Towards Real-World Neuromonitoring and Applications in Cognitive Engineering -- The 2020 Roadmap for Bioelectronic Medicine -- Neurotechnology: Patenting Roadmap -- Quality Management Systems for Neural Engineering: Principles and Practices -- Invasive Neural Integration and Clinical Translation -- Neurosurgical Considerations for the Brain Computer Interface -- Developing ethical guidelines for implantable neurotechnology: The importance of incorporating stakeholder input. |
Record Nr. | UNINA-9910647786703321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Quantitative EEG analysis methods and clinical applications / / Shanbao Tong, Nitish V. Thakor, editors |
Pubbl/distr/stampa | Boston : , : Artech House, , ©2009 |
Descrizione fisica | 1 online resource (439 p.) |
Disciplina | 616.8/047547 |
Altri autori (Persone) |
TongShanbao
ThakorNitish Vyomesh |
Collana | Artech House series engineering in medicine & biology |
Soggetto topico | Electroencephalography |
Soggetto genere / forma | Electronic books. |
ISBN | 1-59693-205-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Quantitative EEG Analysis Methods and Clinical Applications; Contents; Foreword; Preface; Chapter 1: Physiological Foundations of Quantitative EEG Analysis; Chapter 2: Techniques of EEG Recording and Preprocessing; Chapter 3: Single-Channel EEG Analysis; Chapter 4: Bivariable Analysis of EEG Signals; Chapter 5: Theory of the EEG Inverse Problem; Chapter 6: Epilepsy Detection and Monitoring; Chapter 7: Monitoring Neurological Injury by qEEG; Chapter 8: Quantitative EEG-Based Brain-Computer Interface; Chapter 9: EEG Signal Analysis in Anesthesia; Chapter 10: Quantitative Sleep Monitoring
Chapter 11: EEG Signals in Psychiatry: Biomarkers for Depression ManagementChapter 12: Combining EEG and MRI Techniques; Chapter 13: Cortical Functional Mapping by High-Resolution EEG; Chapter 14: Cortical Function Mapping with Intracranial EEG; About the Editors; List of Contributors; Index |
Record Nr. | UNINA-9910455427503321 |
Boston : , : Artech House, , ©2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Quantitative EEG analysis methods and clinical applications / / Shanbao Tong, Nitish V. Thakor, editors |
Pubbl/distr/stampa | Boston : , : Artech House, , ©2009 |
Descrizione fisica | 1 online resource (439 p.) |
Disciplina | 616.8/047547 |
Altri autori (Persone) |
TongShanbao
ThakorNitish Vyomesh |
Collana | Artech House series engineering in medicine & biology |
Soggetto topico | Electroencephalography |
ISBN | 1-59693-205-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Quantitative EEG Analysis Methods and Clinical Applications; Contents; Foreword; Preface; Chapter 1: Physiological Foundations of Quantitative EEG Analysis; Chapter 2: Techniques of EEG Recording and Preprocessing; Chapter 3: Single-Channel EEG Analysis; Chapter 4: Bivariable Analysis of EEG Signals; Chapter 5: Theory of the EEG Inverse Problem; Chapter 6: Epilepsy Detection and Monitoring; Chapter 7: Monitoring Neurological Injury by qEEG; Chapter 8: Quantitative EEG-Based Brain-Computer Interface; Chapter 9: EEG Signal Analysis in Anesthesia; Chapter 10: Quantitative Sleep Monitoring
Chapter 11: EEG Signals in Psychiatry: Biomarkers for Depression ManagementChapter 12: Combining EEG and MRI Techniques; Chapter 13: Cortical Functional Mapping by High-Resolution EEG; Chapter 14: Cortical Function Mapping with Intracranial EEG; About the Editors; List of Contributors; Index |
Record Nr. | UNINA-9910778300303321 |
Boston : , : Artech House, , ©2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|