SlideShare a Scribd company logo
1 of 24
BASICS OF EEG AND FUNDAMENTALS OF
IT’S MEASUREMENT
Timeline of EEG invention
1875
• Richard Caton - Presence of continuous and
spontaneous electrical activity from the brain surface
of rabbits and monkeys
1890
• Adolf Beck – Sensory stimulus can induce spontaneous
and rhythmic oscillation
1912
• Vladimir Pravdich Neminsky – Produced first animal
EEG and evoked potential of mammalian dog
1924
• Hans Berger - Recorded the first human EEG
Figure: Hans Berger and his invention
Cerebral generators of EEG potentials
Figure: Neuronal structure Figure: Neuron – Neuron connection
Electrical signal propagation
Figure: Signal transmission Figure: Signal transmission
Figure: Pyramidal cell’s alignment
Figure: Single pyramidal cell
EEG Recording
Figure: Schematic diagram of a modern EEG Machine from the
subject to the data retrieved
Figure: Illustration of EEG electrodes and signal
Figure: 10/20 System of EEG electrode placement
• Nasion
• Inion
• Left and right
auricular points
Figure: EEG Scalp electrodes
EEG Electrode Placement
Filters
Figure: Low frequency Filter Figure: Low frequency Filter characteristics
Figure: High Frequency Filter Figure: High Frequency Filter Characteristics
Figure : 60 Hz notch filter Figure : 60 Hz notch filter characteristics
Amplifier
• All EEG amplifiers are differential amplifiers.
• Differential amplifier takes two input
voltages and produces an output that is an
amplified version of the difference between
the two inputs
• Advantage – Cancels out the external noise
Rules of Polarity on EEG
 If input 1 is negative with respect to input 2, there is an
upward deflection
 If input 1 is positive with respect to input 2, there is a
downward deflection
 An upward deflection is surface negative, and a
downward deflection is surface positive
 When there is no deflection, the inputs are equipotential
and are either equally active or inactive
Equipotential
Polarity Convention - Example
Montage
Logical and orderly arrangement of channels/electrode pairs on the display
• Bipolar Montage
• Common electrode reference montage
• Average reference montage
• Laplacian montage
Figure : Commonly used bipolar longitudinal
pattern (Double Banana)
Figure : EEG of Bipolar montage
Figure: Referential montage Figure: Laplacian montage
Figure: Normal EEG in awake state
EEG Artifacts
• Artifacts are unwanted noise signals in an EEG record.
• Classification of artefacts is based on the source of generation:
Physiological artifacts and external artifacts.
• Physiologic artifacts:
• Any minor body movements
• EMG
• ECG
• Eye movements etc.
• Non Physiologic artifacts:
• Damage of electrodes
• Cable movements
• Broken wire contacts
• Impedance fluctuation
• 60/50 H artifact etc
Figure: EEG Artifacts
Advantages & Applications of EEG
• Excellent temporal resolution
• EEG can determine the relative strengths and positions of electrical activity in different brain regions.
• EEG does not involve exposure to high intensity magnetic field
• Relatively cheap and simple to operate
• Applications of the EEG in humans and animals involve:
 Research
 Clinics
 Clinical application- EEG is one of the main diagnostic tests for epilepsy
Normal EEG compared to EEG including a seizure: (A) Normal EEG of 15 seconds; (B) EEG
of the same patient having an epileptic seizure visible on electrodes P8 and T8.
Clinical applications
• Monitor alertness, coma and brain death
• Locate areas of damage following head injury, stroke, tumor.
• Monitor cognitive engagement (alpha rhythm)
• Control anesthesia depth
• Investigate epilepsy and locate seizure origin
• Investigate sleep disorder and physiology.
• Etc.
References
• Teplan, M. (2002). FUNDAMENTALS OF EEG MEASUREMENT.
• Britton JW, Frey LC, Hopp JLet al., authors; St. Louis EK, Frey LC, editors. Electroencephalography (EEG):
An Introductory Text and Atlas of Normal and Abnormal Findings in Adults, Children, and Infants [Internet].
Chicago: American Epilepsy Society; 2016. Available from:
https://www.ncbi.nlm.nih.gov/books/NBK390354/
• https://doi.org/10.1684/epd.2020.1217
• Light, G. A., Williams, L. E., Minow, F., Sprock, J., Rissling, A., Sharp, R., Swerdlow, N. R., & Braff, D. L.
(2010). Electroencephalography (EEG) and event-related potentials (ERPs) with human participants. Current
protocols in neuroscience, Chapter 6, Unit–6.25.24. https://doi.org/10.1002/0471142301.ns0625s52
Thankyou…

More Related Content

What's hot (20)

EEG artifacts
EEG artifactsEEG artifacts
EEG artifacts
 
Artifacts in eeg final
Artifacts in eeg finalArtifacts in eeg final
Artifacts in eeg final
 
Activation Proceedures in EEG.pptx
Activation Proceedures in EEG.pptxActivation Proceedures in EEG.pptx
Activation Proceedures in EEG.pptx
 
1 basics of eeg and fundamentals of its measurement
1 basics of eeg and fundamentals of its measurement1 basics of eeg and fundamentals of its measurement
1 basics of eeg and fundamentals of its measurement
 
Approaching the eeg
Approaching the eegApproaching the eeg
Approaching the eeg
 
EEG artifacts
EEG  artifactsEEG  artifacts
EEG artifacts
 
EEG Amplifiers
EEG AmplifiersEEG Amplifiers
EEG Amplifiers
 
EEG.pdf
EEG.pdfEEG.pdf
EEG.pdf
 
EEG: Basics
EEG: BasicsEEG: Basics
EEG: Basics
 
Mu rhythm
Mu rhythmMu rhythm
Mu rhythm
 
PLEDS
PLEDSPLEDS
PLEDS
 
EEG ppt
EEG pptEEG ppt
EEG ppt
 
EEG artefacts
EEG artefactsEEG artefacts
EEG artefacts
 
EEG Epilepsy
EEG EpilepsyEEG Epilepsy
EEG Epilepsy
 
Eeg artifacts
Eeg artifactsEeg artifacts
Eeg artifacts
 
Artifacts in EEG - Recognition and differentiation
Artifacts in EEG - Recognition and differentiationArtifacts in EEG - Recognition and differentiation
Artifacts in EEG - Recognition and differentiation
 
Abnormal eeg
Abnormal eegAbnormal eeg
Abnormal eeg
 
Abnormal EEG patterns
Abnormal EEG patternsAbnormal EEG patterns
Abnormal EEG patterns
 
Eeg machine calibration
Eeg machine calibrationEeg machine calibration
Eeg machine calibration
 
Artifacts in EEG.pptx
Artifacts in EEG.pptxArtifacts in EEG.pptx
Artifacts in EEG.pptx
 

Similar to Basics of EEG and its Measurement

Similar to Basics of EEG and its Measurement (20)

Electroencephalogram(EEG)
Electroencephalogram(EEG)Electroencephalogram(EEG)
Electroencephalogram(EEG)
 
Electroenchephalography
ElectroenchephalographyElectroenchephalography
Electroenchephalography
 
Eeg examples
Eeg examplesEeg examples
Eeg examples
 
SUMSEM-2021-22_ECE6007_ETH_VL2021220701295_Reference_Material_I_04-07-2022_EE...
SUMSEM-2021-22_ECE6007_ETH_VL2021220701295_Reference_Material_I_04-07-2022_EE...SUMSEM-2021-22_ECE6007_ETH_VL2021220701295_Reference_Material_I_04-07-2022_EE...
SUMSEM-2021-22_ECE6007_ETH_VL2021220701295_Reference_Material_I_04-07-2022_EE...
 
EEG
EEGEEG
EEG
 
Eeg
EegEeg
Eeg
 
Unit 3 biomedical
Unit 3 biomedicalUnit 3 biomedical
Unit 3 biomedical
 
EEG in neurology and psychiatry
EEG in neurology and psychiatryEEG in neurology and psychiatry
EEG in neurology and psychiatry
 
EEG.pptx
EEG.pptxEEG.pptx
EEG.pptx
 
EEG-132 Pract. (1).ppt
EEG-132 Pract. (1).pptEEG-132 Pract. (1).ppt
EEG-132 Pract. (1).ppt
 
Eeg Sleep Iom Ver
Eeg Sleep Iom VerEeg Sleep Iom Ver
Eeg Sleep Iom Ver
 
EEG guest lecture_iub_eee541
EEG guest lecture_iub_eee541EEG guest lecture_iub_eee541
EEG guest lecture_iub_eee541
 
EEG INTERPRETATION
EEG INTERPRETATIONEEG INTERPRETATION
EEG INTERPRETATION
 
Electrocardiogram pptx
Electrocardiogram pptxElectrocardiogram pptx
Electrocardiogram pptx
 
Basics of EEG
Basics of EEGBasics of EEG
Basics of EEG
 
Eeg by prc
Eeg by prcEeg by prc
Eeg by prc
 
Eeg by prc
Eeg by prcEeg by prc
Eeg by prc
 
Presentation EEG (1).pptx
Presentation EEG (1).pptxPresentation EEG (1).pptx
Presentation EEG (1).pptx
 
Sec 2 eeg
Sec 2 eegSec 2 eeg
Sec 2 eeg
 
EEG
EEGEEG
EEG
 

Recently uploaded

Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxEyham Joco
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementmkooblal
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaVirag Sontakke
 
CELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxCELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxJiesonDelaCerna
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitolTechU
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.arsicmarija21
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 

Recently uploaded (20)

OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptx
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of management
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of India
 
CELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxCELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptx
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptx
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 

Basics of EEG and its Measurement

  • 1. BASICS OF EEG AND FUNDAMENTALS OF IT’S MEASUREMENT
  • 2. Timeline of EEG invention 1875 • Richard Caton - Presence of continuous and spontaneous electrical activity from the brain surface of rabbits and monkeys 1890 • Adolf Beck – Sensory stimulus can induce spontaneous and rhythmic oscillation 1912 • Vladimir Pravdich Neminsky – Produced first animal EEG and evoked potential of mammalian dog 1924 • Hans Berger - Recorded the first human EEG Figure: Hans Berger and his invention
  • 3. Cerebral generators of EEG potentials Figure: Neuronal structure Figure: Neuron – Neuron connection
  • 4. Electrical signal propagation Figure: Signal transmission Figure: Signal transmission
  • 5. Figure: Pyramidal cell’s alignment Figure: Single pyramidal cell
  • 6. EEG Recording Figure: Schematic diagram of a modern EEG Machine from the subject to the data retrieved Figure: Illustration of EEG electrodes and signal
  • 7. Figure: 10/20 System of EEG electrode placement • Nasion • Inion • Left and right auricular points Figure: EEG Scalp electrodes EEG Electrode Placement
  • 8. Filters Figure: Low frequency Filter Figure: Low frequency Filter characteristics
  • 9. Figure: High Frequency Filter Figure: High Frequency Filter Characteristics
  • 10. Figure : 60 Hz notch filter Figure : 60 Hz notch filter characteristics
  • 11. Amplifier • All EEG amplifiers are differential amplifiers. • Differential amplifier takes two input voltages and produces an output that is an amplified version of the difference between the two inputs • Advantage – Cancels out the external noise
  • 12. Rules of Polarity on EEG  If input 1 is negative with respect to input 2, there is an upward deflection  If input 1 is positive with respect to input 2, there is a downward deflection  An upward deflection is surface negative, and a downward deflection is surface positive  When there is no deflection, the inputs are equipotential and are either equally active or inactive Equipotential
  • 14. Montage Logical and orderly arrangement of channels/electrode pairs on the display • Bipolar Montage • Common electrode reference montage • Average reference montage • Laplacian montage
  • 15. Figure : Commonly used bipolar longitudinal pattern (Double Banana) Figure : EEG of Bipolar montage
  • 16. Figure: Referential montage Figure: Laplacian montage
  • 17. Figure: Normal EEG in awake state
  • 18.
  • 19. EEG Artifacts • Artifacts are unwanted noise signals in an EEG record. • Classification of artefacts is based on the source of generation: Physiological artifacts and external artifacts. • Physiologic artifacts: • Any minor body movements • EMG • ECG • Eye movements etc. • Non Physiologic artifacts: • Damage of electrodes • Cable movements • Broken wire contacts • Impedance fluctuation • 60/50 H artifact etc Figure: EEG Artifacts
  • 20. Advantages & Applications of EEG • Excellent temporal resolution • EEG can determine the relative strengths and positions of electrical activity in different brain regions. • EEG does not involve exposure to high intensity magnetic field • Relatively cheap and simple to operate • Applications of the EEG in humans and animals involve:  Research  Clinics
  • 21.  Clinical application- EEG is one of the main diagnostic tests for epilepsy Normal EEG compared to EEG including a seizure: (A) Normal EEG of 15 seconds; (B) EEG of the same patient having an epileptic seizure visible on electrodes P8 and T8.
  • 22. Clinical applications • Monitor alertness, coma and brain death • Locate areas of damage following head injury, stroke, tumor. • Monitor cognitive engagement (alpha rhythm) • Control anesthesia depth • Investigate epilepsy and locate seizure origin • Investigate sleep disorder and physiology. • Etc.
  • 23. References • Teplan, M. (2002). FUNDAMENTALS OF EEG MEASUREMENT. • Britton JW, Frey LC, Hopp JLet al., authors; St. Louis EK, Frey LC, editors. Electroencephalography (EEG): An Introductory Text and Atlas of Normal and Abnormal Findings in Adults, Children, and Infants [Internet]. Chicago: American Epilepsy Society; 2016. Available from: https://www.ncbi.nlm.nih.gov/books/NBK390354/ • https://doi.org/10.1684/epd.2020.1217 • Light, G. A., Williams, L. E., Minow, F., Sprock, J., Rissling, A., Sharp, R., Swerdlow, N. R., & Braff, D. L. (2010). Electroencephalography (EEG) and event-related potentials (ERPs) with human participants. Current protocols in neuroscience, Chapter 6, Unit–6.25.24. https://doi.org/10.1002/0471142301.ns0625s52

Editor's Notes

  1. Summation of EPSP TRIGGERS AN ACTION POTENTIAL
  2. Volume Conduction: Bioelectric potentials’s flow from the source in the body to the recording electrodes.