Brain-computer interface (BCI)

BCI
Neuro Physiology
Anatomy and Physiology of Nervous System
Neural Mechanisms
Sensory functions
Motor functions
Higher Functions
Anatomy of Brain "CNS-The telencephalon, The diencephalon- brain stem-cerebellum spinal cord and its roots ."
PNS-Nerves
General organization of the PNS
The autonomic nervous system
The study of the brain-Function of each lobes
Communication within neurons
Communication between neurons
Skin sense
Proprioception
Hearing
Vision
Smell
Taste
Motor systems
Local motor control
The control of posture
Higher motor control
Associational cortex and memory
Motivation and the control of behaviour
Introduction to BCI and signal acquisition methods
Introduction to BCI
Invasive method of Brain signal acquistion
Non-Invasive method of Brain signal acquistion Type-I
Non-Invasive method of Brain signal acquisition Type-II
Applications of Hybrid models for Brain signal acquisition
What is BCI
How do BCI works
Importance of BCI in Medical and Non-Medical Applications
BCI Types
Invasive
ECoG Partially invasive
Non-invasive
EEG
MEG
fMRI
fNIRS
ECoG-signal representation
Electrodes used and placement
working principle
Recording setup
EEG-EEG signal
EEG electrodes-10-20 system
EEG acquisition-Hardware
EEG rhythms & artifacts
EEG Recording setup
MEG
Working principle
Recording setup
Functional MRI
Basic principles of MRI
Principles of fMRI Recording setup
Imaging technique-Advantages & Disadvantages
fNIRS
Principle of fNIRS
Electrode placement & Recording setup
Imaging technique- Advantages and Disadvantages
Simultaneous EEG
fMRI
Connections between EEG and fMRI
Basic Principles
Applications
Data Analysis
Sensory Restoration, Motor Restoration and Cognitive Restoration
Rehabilitation
Digital & Random Signal Processing
Signals and Systems
Fast Fourier Transform
Design of FIR Filters
Design of IIR Filters
Random process
Signals
Systems
Continuous Time Signals
Discrete Time Signals
Elementary Signal
Basic Properties
Classification
Elementary Signals
Basic Properties
Classification
Classification
Basic Properties
LTI systems
Properties
Continuous Time Systems
Discrete Time Systems
Discrete Fourier Transform (DFT)
DFT for periodic sequence
Fast Fourier Transform
Convolution through FFT
FIR design
Windowing Techniques
Rectangular
Hamming
Hanning
Need and Choice of Windows
Linear phase characteristics
IIR design
Analog filter design
Butterworth filter design
Impulse invariant
Bilinear Transformation
Analog Frequency transformation
Mean and covariance functions
ergodicity
linear filtering of random processes
power spectral density
Examples of random processes
White noise
Advanced Signal Processing Techniques for BCI
Introduction to Linear Algebra and Probability
Temporal and spatial techniques
Frequency and time frequency techniques
Machine learning Techniques for BCI Applications
Advanced Classifiers
Linear Algebra
Probabilty theory
Introduction to optimization theory
Signal Amplitude
Autoregression parameters
hjorth parameters
Fractal dimension
Bayesian filtering
Bipolar, Laplacian, Common Average Referencing
Principal component analysis
Independent Component Analysis
common spatial filtering
FFT
Band power features
Power spectral density features
Cannonical Corellation analysis (CCA)
STFT
Wavelets
wavelet packet decomposition
Matched filtering
Introduction to Classification Techniques
Linear Discriminant Analysis (LDA)
Regularized Linear Discriminant Analysis (RDA)
Support vector machine (SVM)
Multi-Class Classification
Nearest Neighbor
k-Nearest Neighbors
Naive Bayes Classifier
Least Squares Algorithm
Adaptive LMS
Adaptive LDA
Adaptive SVM
Input signals and Stimulus design of BCI
BCI Using Evoked Potentials
sensorimotor rhythms and slow cortical potentials based BCI
Signals from and Within the Brain
BCI using Signals from brain metabolic activity
Stimulus Design
P-300: ODDBALL PARADIGM
P300 ORIGIN AND FUNCTION, AMPLITUDE AND STABILITY
P-300 BASED BCI
AUDITORY STIMULI
SSVEP
SSVEP AND RELATED PARADIGMS
SSVEP BASED BCI
IMPORTANT ISSUES IN SSVEP
AUDITORY EVOKED POTENTIALS
SMRS DURING SENSORIMOTOR BEHAVIORS
SMR'S DURING MOTOR IMAGERY
CURSOR MOVEMENT IN ONE OR MORE DIMENSIONS
COMMUNICATION APPLICATIONS
SLOW CORTICAL POTENTIALS
SCP BASED BCI
INTRODUCTION
FEATURES
ECOG - BASED BCI CONTROL
LIMITATIONS
COMPLEX CONTROL FROM SMALL POPULATIONS OF NEURONS
SIGNALS AVAILABLE TO iBCIs
LOCAL FIELD POTENTIALS
MULTIUNIT ACTIVITY
PRINCIPLES OF fNIRS
FNIRS based BCI- Methodology
MRI-BASED BCI - principles and practice
Signal Acquisition
BOLD Versus Direct Electromagnetic Detection FMRI
Design of RSVP
Checkerboard
MI movement
BCI-Types and Applications
STIMULATION
DESIGN PRINCIPLES
BCI USERS AND NEEDS
THERAPEUTIC APPLICATIONS
ETHICAL ISSUES IN BCI
INVASIVE
micro electrodes
Direct Cortical Electrical Stimulation
Optical Stimulation
NON-INVASIVE
Transcranial Magnetic Stimulation (TMS)
Transcranial Ultrasound
SIMULTANEOUS RECORDING AND STIMULATION
Multielectrode Arrays
Neurochip
Synchronous and Asynchronous
Invasive and non-invasive
exogenous and endogenous BCI
EEG Based BCI
Control Signals Used in BCI for Speech Communication
RESTORING FUNCTIONS LOST DUE TO INJURY OR DISEASE
Imparied communication
mobility, autonomic functions
BCIs FOR REHABILITATION OF STROKE PATIENTS
Epilepsy, Cognitive, Mood, or other disorders
BCI-BASED FEEDBACK AS A POSSIBLE THERAPEUTIC TOOL
IMPROVING RECOVERY OF MOTOR FUNCTION
BRAIN PLASTICITY AND STRATEGIES FOR USING BCIs
IN MOTOR REHABILITATION
IMPROVING EMOTION PROCESSING AND CONTROL
PAIN MANAGEMENT
BCI-BASED GAMES
THE NEED FOR MULTIDISCIPLINARY EXPERTISE AND COLLABORATION
ENSURING QUALITY OF CARE
ENSURING ACCESSIBILITY OF RESULTS
INVASIVE BCI RESEARCH
Moving form Animals to Humans
STUDYING BCI USE BY PEOPLE WITH DISABILITIES
PHYSICAL AND PSYCHOLOGICAL RISKS
The Risk of Inappropriate Outputs
Invasion of Privacy
Deleterious CNS Plasticity
Uncensored Actions
RESPECT FOR PERSONS
INFORMED CONSENT
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