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MindMap Gallery Brain-computer interface (BCI)
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Brain-computer interface (BCI)
This comprehensive mind map talks about Brain-Computer Interface (BCI). BME - Minor.
Edited at 2021-06-26 10:16:52
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- Outline
BCI
Neuro Physiology
Anatomy and Physiology of Nervous System
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
Neural Mechanisms
The study of the brain-Function of each lobes
Communication within neurons
Communication between neurons
Sensory functions
Skin sense
Proprioception
Hearing
Vision
Smell
Taste
Motor functions
Motor systems
Local motor control
The control of posture
Higher Functions
Higher motor control
Associational cortex and memory
Motivation and the control of behaviour
Introduction to BCI and signal acquisition methods
Introduction to BCI
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
Invasive method of Brain signal acquistion
ECoG-signal representation
Electrodes used and placement
working principle
Recording setup
Non-Invasive method of Brain signal acquistion Type-I
EEG-EEG signal
EEG electrodes-10-20 system
EEG acquisition-Hardware
EEG rhythms & artifacts
EEG Recording setup
MEG
Working principle
Recording setup
Non-Invasive method of Brain signal acquisition Type-II
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
Applications of Hybrid models for Brain signal acquisition
Simultaneous EEG
fMRI
Basic Principles
Applications
Data Analysis
Connections between EEG and fMRI
Sensory Restoration, Motor Restoration and Cognitive Restoration
Rehabilitation
Digital & Random Signal Processing
Signals and Systems
Signals
Continuous Time Signals
Elementary Signal
Basic Properties
Classification
Discrete Time Signals
Elementary Signals
Basic Properties
Classification
Systems
Classification
Continuous Time Systems
Discrete Time Systems
Basic Properties
LTI systems
Properties
Fast Fourier Transform
Discrete Fourier Transform (DFT)
DFT for periodic sequence
Fast Fourier Transform
Convolution through FFT
Design of FIR Filters
FIR design
Windowing Techniques
Rectangular
Hamming
Hanning
Need and Choice of Windows
Linear phase characteristics
Design of IIR Filters
IIR design
Analog filter design
Butterworth filter design
Impulse invariant
Bilinear Transformation
Analog Frequency transformation
Random process
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
Linear Algebra
Probabilty theory
Introduction to optimization theory
Temporal and spatial techniques
Signal Amplitude
Autoregression parameters
hjorth parameters
Fractal dimension
Bayesian filtering
Bipolar, Laplacian, Common Average Referencing
Principal component analysis
Independent Component Analysis
common spatial filtering
Frequency and time frequency techniques
FFT
Band power features
Power spectral density features
Cannonical Corellation analysis (CCA)
STFT
Wavelets
wavelet packet decomposition
Matched filtering
Machine learning Techniques for BCI Applications
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
Advanced Classifiers
Least Squares Algorithm
Adaptive LMS
Adaptive LDA
Adaptive SVM
Input signals and Stimulus design of BCI
BCI Using Evoked Potentials
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
sensorimotor rhythms and slow cortical potentials based BCI
SMRS DURING SENSORIMOTOR BEHAVIORS
SMR'S DURING MOTOR IMAGERY
CURSOR MOVEMENT IN ONE OR MORE DIMENSIONS
COMMUNICATION APPLICATIONS
SLOW CORTICAL POTENTIALS
SCP BASED BCI
Signals from and Within the Brain
INTRODUCTION
FEATURES
ECOG - BASED BCI CONTROL
LIMITATIONS
COMPLEX CONTROL FROM SMALL POPULATIONS OF NEURONS
SIGNALS AVAILABLE TO iBCIs
LOCAL FIELD POTENTIALS
MULTIUNIT ACTIVITY
BCI using Signals from brain metabolic activity
PRINCIPLES OF fNIRS
FNIRS based BCI- Methodology
MRI-BASED BCI - principles and practice
Signal Acquisition
BOLD Versus Direct Electromagnetic Detection FMRI
Stimulus Design
Design of RSVP
Checkerboard
MI movement
BCI-Types and Applications
STIMULATION
INVASIVE
micro electrodes
Direct Cortical Electrical Stimulation
Optical Stimulation
NON-INVASIVE
Transcranial Magnetic Stimulation (TMS)
Transcranial Ultrasound
SIMULTANEOUS RECORDING AND STIMULATION
Multielectrode Arrays
Neurochip
DESIGN PRINCIPLES
Synchronous and Asynchronous
Invasive and non-invasive
exogenous and endogenous BCI
EEG Based BCI
Control Signals Used in BCI for Speech Communication
BCI USERS AND NEEDS
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
THERAPEUTIC APPLICATIONS
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
ETHICAL ISSUES IN BCI
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