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USE OF EEG SIGNAL FOR MENTAL
ANALYSIS OF A PERSON
Darpan Pudasaini
Dipesh Pandey
Krishna Rijal
Presented By:
EEG:
Electroencephalography (EEG) is the recording of
electrical activity along the scalp.
The study of EEG signals helps us to diagnose
the psychological state of the brain and even
differentiate various emotions of a person.
The study of EEG signals helps us finding the
mental disorder.
The study of EEG signals also help in various
medical diagnosis like mental seizure and
epilepsy.
Classification of EEG Signals:
The brain signals are classified into five
different categories according to their frequencies:
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
Problem statement:
• Early diagnosis
• Proper treatment
Objective
• Use of EEG to diagnose the mental
state of a person.
Applications
• The application of this project is in
psychological diagnosis of a person in order to
determine any abnormalities in the brain
functions so that necessary steps can be taken
before any serious mental health issue arises.
Literature Review:
Richard Caton: 1875 A.D
discovered electrical activities the brain of rabbits and monkeys .
Napolean Cybulski and Jelenska-Macieszyna : 1914 A.D.
discovered electrical activities of the exposed cerebral
hemispheres of the brain of rabbits and monkeys.
Hans Berger : 1924 A.D.
the first ever EEG machine
accredited to have invented Electroencephalogram.
William Grey Walter : 1950 A.D.
invented EEG topography, that helped the mapping of electrical
activity of the brain across the scalp.
2004:
Open EEG released open source hardware and software for ball
balancing game.
In 2014, OpenBCI released an Open Source BCI under the name OpenBCI that
has 8-16 channels and uses EKG and EMG alongside EEG
Methodology:
Feasibility Analysis:
Project mostly is about processing and analyzing of EEG signals
The source of the signal could be either live test subjects or readily available
data
Limitations
EEG alone can’t produce good spatial resolution

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Metal State Analysis using DWT

  • 1. USE OF EEG SIGNAL FOR MENTAL ANALYSIS OF A PERSON Darpan Pudasaini Dipesh Pandey Krishna Rijal Presented By:
  • 2. EEG: Electroencephalography (EEG) is the recording of electrical activity along the scalp. The study of EEG signals helps us to diagnose the psychological state of the brain and even differentiate various emotions of a person. The study of EEG signals helps us finding the mental disorder. The study of EEG signals also help in various medical diagnosis like mental seizure and epilepsy.
  • 3. Classification of EEG Signals: The brain signals are classified into five different categories according to their frequencies: 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
  • 4. Problem statement: • Early diagnosis • Proper treatment
  • 5. Objective • Use of EEG to diagnose the mental state of a person.
  • 6. Applications • The application of this project is in psychological diagnosis of a person in order to determine any abnormalities in the brain functions so that necessary steps can be taken before any serious mental health issue arises.
  • 7.
  • 8. Literature Review: Richard Caton: 1875 A.D discovered electrical activities the brain of rabbits and monkeys . Napolean Cybulski and Jelenska-Macieszyna : 1914 A.D. discovered electrical activities of the exposed cerebral hemispheres of the brain of rabbits and monkeys. Hans Berger : 1924 A.D. the first ever EEG machine accredited to have invented Electroencephalogram. William Grey Walter : 1950 A.D. invented EEG topography, that helped the mapping of electrical activity of the brain across the scalp. 2004: Open EEG released open source hardware and software for ball balancing game. In 2014, OpenBCI released an Open Source BCI under the name OpenBCI that has 8-16 channels and uses EKG and EMG alongside EEG
  • 9.
  • 11. Feasibility Analysis: Project mostly is about processing and analyzing of EEG signals The source of the signal could be either live test subjects or readily available data
  • 12. Limitations EEG alone can’t produce good spatial resolution