use of eeg signal for mental analysis of a person
TRANSCRIPT
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