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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 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
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
Methodology
Methodology
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
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
Methodology
Methodology
EEG data
Classification
of emotions
Gives the
emotional
response
True state of
emotions
Analysis of
various types
of waves
Mental
disturbances
Abnormalities
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
components
1 set 8000
2. Miscellaneous - 2000
Conclusion

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Use of eeg signal for mental analysis of a Person

  • 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:
  • 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
  • 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
  • 14.
  • 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
  • 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
  • 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
  • 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