Smart wheelchairs and brain-computer interfaces : mobile assistive technologies /

Smart Wheelchairs and Brain-Computer Interfaces: Mobile Assistive Technologies combines the fields of neuroscience, rehabilitation and robotics via contributions from experts in their field to help readers develop new mobile assistive technologies. It provides information on robotics, control algori...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Diez, Pablo (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, 2018.
Temas:
Brain-computer interfaces.
Self-help devices for people with disabilities.
Wheelchairs.
Brain-Computer Interfaces
Self-Help Devices
User-Computer Interface
Wheelchairs
Interfaces cerveau-ordinateur.
Aides fonctionnelles (M�edecine physique)
Fauteuils roulants.
wheelchairs.
COMPUTER SCIENCE > General.
Brain-computer interfaces
Self-help devices for people with disabilities
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title Page; Copyright Page; Contents; Contributors; Authors' biographies; Chapter 1
  • Introduction; 1.1
  • Brain-Computer Interfaces; 1.1.1
  • The Brain; 1.1.2
  • Measuring Brain Activity; 1.1.3
  • Components of a BCI; 1.2
  • Pathologies; 1.2.1
  • Amyotrophic Lateral Sclerosis; 1.2.2
  • Stroke; 1.2.3
  • Locked-in Syndrome; 1.3
  • Types of BCI; 1.3.1
  • Self-Regulated Potentials; 1.3.1.1
  • Slow-cortical potentials; 1.3.1.2
  • Sensorimotor rhythms; 1.3.1.3
  • Mental tasks; 1.3.2
  • Event-Related Potentials; 1.3.2.1
  • P300; 1.3.2.2
  • Steady-state visual evoked potentials.
  • 1.3.3
  • Invasive Approach: ECoG-Based BCI1.4
  • Measuring BCI Performance; 1.4.1
  • Confusion Matrix; 1.4.2
  • Accuracy and Error Rate; 1.4.3
  • Cohen's Kappa Coefficient; 1.4.4
  • Information Transfer Rate; 1.5
  • Other Aspects on BCI; 1.5.1
  • Synchronous or Asynchronous Approach; 1.5.2
  • BCI Adaptation or User Adaptation; 1.5.3
  • From Lab to the User's Home; 1.6
  • Outline of the Book; References; Chapter 2
  • The motor system; 2.1
  • An Introduction to the Motor System; 2.2
  • Disabilities; 2.2.1
  • Central Disabilities; 2.2.1.1
  • Dysfunction of the pyramidal system spasticity.
  • 2.2.1.2
  • Dysfunction of the extrapyramidal system2.2.1.3
  • Ataxia; 2.2.1.4
  • Weakness; 2.2.2
  • Peripheral Disabilities; 2.2.2.1
  • Weakness of peripheral origin; 2.2.2.2
  • Proprioceptive ataxia; 2.2.3
  • Rheumatological Disabilities; 2.3
  • Diseases; 2.3.1
  • Amyotrophic Lateral Sclerosis; 2.3.2
  • Spinal Muscular Atrophy; 2.3.3
  • Myopathies; 2.3.4
  • Multiple Sclerosis; 2.3.5
  • Spinal Cord Injuries; 2.3.6
  • Brainstem Injuries; 2.3.7
  • Stroke; 2.4
  • Further Remarks; References.
  • Chapter 3
  • Using noninvasive methods to drive brain-computer interface (BCI): the role of electroencephalography and functiona ... 3.1
  • Introduction; 3.2
  • Functional Neuroanatomy: The Cerebral Cortex; 3.2.1
  • Introduction; 3.2.2
  • Anatomy of the Cerebral Cortex; 3.2.3
  • Brodmann Areas; 3.2.4
  • Motor and Sensory Areas; 3.2.5
  • Association Areas; 3.2.6
  • Integration Centers; 3.2.7
  • Functions of the PFC; 3.2.8
  • Cerebral Lateralization; 3.3
  • Noninvasive Neuroimaging Techniques; 3.3.1
  • Electroencephalography; 3.3.1.1
  • Introduction to EEG; 3.3.1.2
  • Development of EEG.
  • 3.3.1.3
  • Hans Berger and human EEG3.3.1.4
  • Traditional frequency bands; 3.3.1.5
  • Standardized electrode placement; 3.3.1.6
  • Origins of EEG; 3.3.1.7
  • Extracranial EEG records brain activity at a macroscopic scale; 3.3.1.8
  • Cellular origins of oscillatory EEG; 3.3.1.9
  • Introduction to the SSVEP; 3.3.1.10
  • Spatial resolution of EEG; 3.3.2
  • Functional Near-Infrared Spectroscopy; 3.3.2.1
  • Introduction to fNIRS; 3.3.2.2
  • Technological considerations of fNIRS; 3.3.2.3
  • Classification of signal components; 3.4
  • Application of EEG and fNIRS in BCI Research.
  • 3.4.1
  • Healthy and Clinical Populations.

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