USE OF EEG SIGNAL FOR MENTAL ANALYSIS OF A PERSON

Darpan Pudasaini (011-425)Dipesh Pandey (011-431)Krishna Rijal (011-438)

Presented By:

The Problem

1 in 4 people is affected by mental

illness.

8.6 millions adults have suicidal

thoughts.

Suicide is the 3rd leading cause of

death.

1 in 30 people experience PTSD

(Posttraumatic Stress Disorder).

Children with anxiety disorders are

least likely to receive treatment.

What do all these facts point to?

Mental health is a serious problem

The solution

The solution

There should be a more effective method for the analysis of mental health

The solution

There should be a more effective method for the analysis of mental health

Electroencephalography

Electroencephalography

Electroencephalography (EEG) is the recording of electrical activity of the brain

Electroencephalography

Electroencephalography (EEG) is the recording of electrical activity of the brain

Band Frequency (Hz)

Represented status

Delta < 4 Slow-wave sleepTheta 4 – 7 Inhibition of excited responsesAlpha 8 – 15 Relaxed, Inhibition controlBeta 16-31 Anxious, active thinking, focus,

high alertGamma > 32 Cross-modal sensory perception

Electroencephalography

Applications, so far

Diagnose epilepsy and types of seizures

Check if a person is brain dead

Study sleep disorders

Monitor brain activity during surgery

Differentiate a physical problem with a mental health problem

Diagnose brain dysfunction

…..and many more

Objective of our project

To use EEG to analyze the mental state of a person

Objective of our project

To use EEG to analyze the mental state of a person

Use the features of EEG signals to help in psychological diagnosis of a person

Literature review Richard Caton: 1875 A.D

discovered electrical activities the brain of rabbits and monkeys .

Napolean Cybulski and Jelenska-Macieszyna : 1914 A.D.Photographed the first ever EEG Signal of experimentally

induced seizure. Hans Berger : 1924 A.D.

the first ever EEG machine, invented Electroencephalogram.

William Grey Walter : 1950 A.D.invented EEG topography, mapping of electrical activity of the brain

across the scalp. 2004

Open EEG released open source hardware and software for ball balancing game. 2014

OpenBCI released that has 8-16 channels and uses EKG and EMG alongside EEG

Methodology

Methodology

Methodology

Downloaded EEG Signal database :Online databaseFrom hospitals

Methodology

Amplification, filtering, etc(Using MATLAB)

Daubechies Wavelet Transform(db-4)

Methodology

Daubechies Wavelet Transform

Methodology

Both time and frequency domain

Daubechies Wavelet Transform

Why ?

Both time and frequency domain

Varying window size, broad at low frequencies and

narrow at high

Better suited for analysis of sudden and transient

signal changes

Better poised to analyze irregular data patterns,

that is, impulses existing at different time

instances

Near optimal time-frequency localization properties

Waveforms similar to the EEG waveforms

Artificial Intelligence

Fuzzy C-Means,Neural Networks, etc.

Methodology

Fuzzy C-Means

A tool for classifying sets of data in accordance to the attributes

Can be used to classify different emotions from the EEG

Artificial Intelligence

Fuzzy C-Means,Neural Networks, etc.

Methodology

Methodology

EEG data

Classification of

emotions

Gives the emotional response

True state of emotions

Analysis of various types of waves

Mental disturbance

sAbnormaliti

es

Feasibility

No reliance on hardware components

Minimal project costs

Feasibility

No reliance on hardware components

Minimal project costs

Feasible !!!

Limitations

Every person has different nature of EEG signal

EEG alone can’t produce good spatial resolution

Schedule Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

Week 7

Week 8

Week 9

Week 10

Week 11

 Project Research

                     

Calculations and preprocessing

                     

Wavelet analysis                      

 Classification

                     

 Testing

                     

 Documentation

                     

Proposed Schedule

Budget estimation

S.N. Items Quantity Price (Nrs)1. EEG recording

components1 set 8000

 2.

 Miscellaneous

 -

 2000

Conclusion