Brain-computer interface (BCI) | Mind Map

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