this is the slides for final year project defance created in order to demonstrate the project

1. USE OF EEG SIGNAL FOR MENTAL
ANALYSIS OF A PERSON
Darpan Pudasaini (011-425)
Dipesh Pandey (011-431)
Krishna Rijal (011-438)
Presented By:

2. The Problem

3.  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.

4. What do all these facts point to?

5. Mental health is a serious problem

6. The solution

7. The solution
There should be a more effective method for the analysis of mental health

8. The solution
There should be a more effective method for the analysis of mental health
Electroencephalography

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

10. Electroencephalography
Electroencephalography (EEG) is the recording of electrical activity of the brain
Band Frequency
(Hz)
Represented status
Delta < 4 Slow-wave sleep
Theta 4 – 7 Inhibition of excited responses
Alpha 8 – 15 Relaxed, Inhibition control
Beta 16-31 Anxious, active thinking, focus, high
alert
Gamma > 32 Cross-modal sensory perception

11. 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

12. Objective of our project
To use EEG to analyze the mental state of a person

13. 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

15. 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

16. Methodology

17. Methodology

18. Methodology

19. Methodology

20. Methodology

21. Methodology
Both time and frequency domain

22. 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

23. Methodology

24. 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

25. Methodology

26. Methodology
EEG data
Classification
of emotions
Gives the
emotional
response
True state of
emotions
Analysis of
various types
of waves
Mental
disturbances
Abnormalities

27. Feasibility
No reliance on hardware components
Minimal project costs

28. Feasibility
No reliance on hardware components
Minimal project costs
Feasible !!!

29. Limitations
Every person has different nature of EEG signal
EEG alone can’t produce good spatial resolution

30. 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

31. Budget estimation
S.N. Items Quantity Price (Nrs)
1. EEG recording
components
1 set 8000
2. Miscellaneous - 2000

32. Conclusion