Understanding
EEG: Parts and
Types
SUBMITTED BY- HANSIKA
ROLL NO. - 9
Introduction to EEG
► EEG stands for Electroencephalography.
► It records electrical activity of the brain.
► Measures brain waves using electrodes
placed on the scalp.
► Provides real-time monitoring of brain
activity, crucial in neuroscience research.
Neurons communicate with each other via electrical events
called 'action potentials' and chemical neurotransmitters.
Synaptic Transmission
Arrival at the axon terminal:
triggers the release of neurotransmitters stored in synaptic vesicles.
Neurotransmitter release:
Calcium ions enter the terminal, causing release of
neurotransmitters into the synaptic cleft.
Receptor binding:
The neurotransmitters diffuses across the synapse and bind to
specific receptors on the postsynaptic neuron, triggering a new
electrical signal in the receiving neuron.
Transmission of action
potential
An EEG device records electrical signals from the
brain, specifically postsynaptic potentials of neurons,
through electrodes
How EEG Works?
► Electrodes detect electrical signals from
neurons.
► Signals are amplified and recorded as
waveforms.
► EEG captures different brain wave
patterns: alpha, beta, theta, delta.
► Non-invasive and painless procedure.
► External interferences like muscle
movement or eye blinking are filtered out
for accuracy.
PARTS OF AN EEG MACHINE
Parts of an EEG System
1. Electrodes:
1.Sensors placed on the scalp
to detect electrical signals.
2.Types include disc, cup, and
needle electrodes.
3.Arranged according to
standardized placement
systems like the 10-20 system.
.
Electrode positions
Ground Electrode and
Refrence Electrode
► A "ground electrode" is used to eliminate
electrical noise by providing a common
reference point.
► A "reference electrode" is the specific point on
the scalp that is used to measure the voltage
difference against the active recording
electrode.
.
Ground electrode:
► Primarily used to reduce electrical interference from power
lines and other external sources.
► Often placed on a neutral area of the body like the forehead.
► Does not directly contribute to the recorded brain activity.
Reference electrode:
► Placed on a specific scalp location, typically near the
recording electrode.
► Used to calculate the voltage difference between the active
recording electrode and this reference point, providing the
actual EEG signal.
► The choice of reference electrode can affect the
interpretation of the EEG data.
Recording and analysis through
electrodes
Parts of an EEG System
2.Amplifier:
1. Boosts weak electrical signals from
the brain for clearer recording.
2. Modern amplifiers include built-in
filters to enhance clarity.
3.Filters:
1. Remove unwanted artifacts or noise.
2. Types: High-pass, low-pass, and
notch filters to manage specific
signal ranges.
Parts of an EEG System
4.Display/Recorder:
1. Converts amplified signals into
waveforms visible on digital monitors.
2. Displays distinct brain wave patterns in
real-time.
5.Electrode Cap:
1. Preconfigured caps with embedded
electrodes for faster and uniform
placement.
Parts of an EEG System
6.Ground and Reference Electrodes:
1. Ground electrode stabilizes the system
and reduces interference.
2. Reference electrode provides a
baseline for signal comparison.
7.EEG Gel or Paste:
1. Conductive medium applied to
improve signal transmission between
skin and electrodes.
Parts of an EEG System
8.Signal Processing Unit:
1. Converts raw electrical data into
readable formats for analysis.
Types of EEG
► Routine EEG: A basic test lasting 20–30 minutes.
► Ambulatory EEG: Portable device for long-term
monitoring.
► Video EEG: Combines EEG with video recording
for detailed observation.
► Sleep EEG: Conducted during sleep to study
disorders.
► Invasive EEG: Electrodes placed inside the skull.
► Quantitative EEG (qEEG): Analyzes brain wave
patterns digitally.
Brain Waves and Their
Significance
► Alpha Waves: Relaxed and calm state (8–13 Hz).
► Beta Waves: Active thinking, focus (13–30 Hz).
► Theta Waves: Light sleep, relaxation (4–8 Hz).
► Delta Waves: Deep sleep, restorative state (0.5–4
Hz).
► Gamma Waves: Cognitive function, memory (30+
Hz).
► Brain waves shift due to factors like stress,
medication, or neurological conditions.
EEG_Presentation[4}.pptx biotechnology all concepts and materials
Applications of EEG
► Medical Diagnosis: Epilepsy, brain tumors, stroke,
and sleep disorders.
► Research: Cognitive neuroscience and brain-
computer interfaces.
► Monitoring: During surgery or in the ICU for critical
care.
► Mental Health: Analysis of anxiety, depression,
ADHD, etc.
► -Detects brain death or coma states in critical
care settings.
Conclusion[EEG]
► EEG is vital for understanding brain
function and neurological disorders.
► It is a non-invasive and versatile
diagnostic tool.

More Related Content

PDF
Eeg presentation for studying and understanding
PPTX
lecture2 EEG EMG VCG PCG_1105315566.pptx
PPTX
Neuroinstrumentation in clinical neurology (EEG&NCS).pptx
PPTX
Neuroinstrumentation in clinical neurology 1 (EEG&NCS).pptx
PPTX
Presentation EEG (1).pptx
PPTX
Basics of EEG
PPT
SUMSEM-2021-22_ECE6007_ETH_VL2021220701295_Reference_Material_I_04-07-2022_EE...
PDF
Eeg presentation for studying and understanding
lecture2 EEG EMG VCG PCG_1105315566.pptx
Neuroinstrumentation in clinical neurology (EEG&NCS).pptx
Neuroinstrumentation in clinical neurology 1 (EEG&NCS).pptx
Presentation EEG (1).pptx
Basics of EEG
SUMSEM-2021-22_ECE6007_ETH_VL2021220701295_Reference_Material_I_04-07-2022_EE...

Similar to EEG_Presentation[4}.pptx biotechnology all concepts and materials (20)

PPT
EEG_circut.ppt
PPT
EEG_circuit.ppt
PDF
Clinical teaching on electroencephelography
PPTX
ELECTROENCEPHALOGRAPHY (EEG)
PPTX
Biomedical Instruments.pptx
PDF
A review of eeg recording techniques
PPT
Unit 3 biomedical
PPTX
Practical: EEG and EMG nerve conduction.
PPTX
ppt56sakantomy56738iu24-171124095819.pptx
PDF
Feature Extraction Techniques and Classification Algorithms for EEG Signals t...
PPTX
EEG & EMG new.pptx
PPTX
Electroencephalogram
PPTX
Brief introduction on Electro encephalography-SSM.pptx
PPTX
INTRODUCTION TO BIOMEDICAL SIGNALS in BSP
PPT
EEG-132 Pract. (1).ppt
PDF
International Journal of Computational Engineering Research(IJCER)
PPTX
PPTX
Basics of eeg signal
PPTX
Eeg & ecg
EEG_circut.ppt
EEG_circuit.ppt
Clinical teaching on electroencephelography
ELECTROENCEPHALOGRAPHY (EEG)
Biomedical Instruments.pptx
A review of eeg recording techniques
Unit 3 biomedical
Practical: EEG and EMG nerve conduction.
ppt56sakantomy56738iu24-171124095819.pptx
Feature Extraction Techniques and Classification Algorithms for EEG Signals t...
EEG & EMG new.pptx
Electroencephalogram
Brief introduction on Electro encephalography-SSM.pptx
INTRODUCTION TO BIOMEDICAL SIGNALS in BSP
EEG-132 Pract. (1).ppt
International Journal of Computational Engineering Research(IJCER)
Basics of eeg signal
Eeg & ecg
Ad

Recently uploaded (20)

PDF
Abstractive summarization using multilingual text-to-text transfer transforme...
PPTX
Final SEM Unit 1 for mit wpu at pune .pptx
PDF
Produktkatalog für HOBO Datenlogger, Wetterstationen, Sensoren, Software und ...
PDF
Taming the Chaos: How to Turn Unstructured Data into Decisions
PDF
CloudStack 4.21: First Look Webinar slides
PPTX
Chapter 5: Probability Theory and Statistics
PPTX
2018-HIPAA-Renewal-Training for executives
PPTX
Benefits of Physical activity for teenagers.pptx
PDF
The influence of sentiment analysis in enhancing early warning system model f...
PDF
Convolutional neural network based encoder-decoder for efficient real-time ob...
PDF
A Late Bloomer's Guide to GenAI: Ethics, Bias, and Effective Prompting - Boha...
PDF
Hindi spoken digit analysis for native and non-native speakers
DOCX
search engine optimization ppt fir known well about this
PDF
NewMind AI Weekly Chronicles – August ’25 Week III
PPTX
The various Industrial Revolutions .pptx
PDF
1 - Historical Antecedents, Social Consideration.pdf
PPTX
Modernising the Digital Integration Hub
PPT
Galois Field Theory of Risk: A Perspective, Protocol, and Mathematical Backgr...
PDF
sustainability-14-14877-v2.pddhzftheheeeee
PDF
A review of recent deep learning applications in wood surface defect identifi...
Abstractive summarization using multilingual text-to-text transfer transforme...
Final SEM Unit 1 for mit wpu at pune .pptx
Produktkatalog für HOBO Datenlogger, Wetterstationen, Sensoren, Software und ...
Taming the Chaos: How to Turn Unstructured Data into Decisions
CloudStack 4.21: First Look Webinar slides
Chapter 5: Probability Theory and Statistics
2018-HIPAA-Renewal-Training for executives
Benefits of Physical activity for teenagers.pptx
The influence of sentiment analysis in enhancing early warning system model f...
Convolutional neural network based encoder-decoder for efficient real-time ob...
A Late Bloomer's Guide to GenAI: Ethics, Bias, and Effective Prompting - Boha...
Hindi spoken digit analysis for native and non-native speakers
search engine optimization ppt fir known well about this
NewMind AI Weekly Chronicles – August ’25 Week III
The various Industrial Revolutions .pptx
1 - Historical Antecedents, Social Consideration.pdf
Modernising the Digital Integration Hub
Galois Field Theory of Risk: A Perspective, Protocol, and Mathematical Backgr...
sustainability-14-14877-v2.pddhzftheheeeee
A review of recent deep learning applications in wood surface defect identifi...
Ad

EEG_Presentation[4}.pptx biotechnology all concepts and materials

  • 2. Introduction to EEG ► EEG stands for Electroencephalography. ► It records electrical activity of the brain. ► Measures brain waves using electrodes placed on the scalp. ► Provides real-time monitoring of brain activity, crucial in neuroscience research.
  • 3. Neurons communicate with each other via electrical events called 'action potentials' and chemical neurotransmitters.
  • 4. Synaptic Transmission Arrival at the axon terminal: triggers the release of neurotransmitters stored in synaptic vesicles. Neurotransmitter release: Calcium ions enter the terminal, causing release of neurotransmitters into the synaptic cleft. Receptor binding: The neurotransmitters diffuses across the synapse and bind to specific receptors on the postsynaptic neuron, triggering a new electrical signal in the receiving neuron.
  • 6. An EEG device records electrical signals from the brain, specifically postsynaptic potentials of neurons, through electrodes
  • 7. How EEG Works? ► Electrodes detect electrical signals from neurons. ► Signals are amplified and recorded as waveforms. ► EEG captures different brain wave patterns: alpha, beta, theta, delta. ► Non-invasive and painless procedure. ► External interferences like muscle movement or eye blinking are filtered out for accuracy.
  • 8. PARTS OF AN EEG MACHINE
  • 9. Parts of an EEG System 1. Electrodes: 1.Sensors placed on the scalp to detect electrical signals. 2.Types include disc, cup, and needle electrodes. 3.Arranged according to standardized placement systems like the 10-20 system.
  • 10. .
  • 12. Ground Electrode and Refrence Electrode ► A "ground electrode" is used to eliminate electrical noise by providing a common reference point. ► A "reference electrode" is the specific point on the scalp that is used to measure the voltage difference against the active recording electrode.
  • 13. . Ground electrode: ► Primarily used to reduce electrical interference from power lines and other external sources. ► Often placed on a neutral area of the body like the forehead. ► Does not directly contribute to the recorded brain activity. Reference electrode: ► Placed on a specific scalp location, typically near the recording electrode. ► Used to calculate the voltage difference between the active recording electrode and this reference point, providing the actual EEG signal. ► The choice of reference electrode can affect the interpretation of the EEG data.
  • 14. Recording and analysis through electrodes
  • 15. Parts of an EEG System 2.Amplifier: 1. Boosts weak electrical signals from the brain for clearer recording. 2. Modern amplifiers include built-in filters to enhance clarity. 3.Filters: 1. Remove unwanted artifacts or noise. 2. Types: High-pass, low-pass, and notch filters to manage specific signal ranges.
  • 16. Parts of an EEG System 4.Display/Recorder: 1. Converts amplified signals into waveforms visible on digital monitors. 2. Displays distinct brain wave patterns in real-time. 5.Electrode Cap: 1. Preconfigured caps with embedded electrodes for faster and uniform placement.
  • 17. Parts of an EEG System 6.Ground and Reference Electrodes: 1. Ground electrode stabilizes the system and reduces interference. 2. Reference electrode provides a baseline for signal comparison. 7.EEG Gel or Paste: 1. Conductive medium applied to improve signal transmission between skin and electrodes.
  • 18. Parts of an EEG System 8.Signal Processing Unit: 1. Converts raw electrical data into readable formats for analysis.
  • 19. Types of EEG ► Routine EEG: A basic test lasting 20–30 minutes. ► Ambulatory EEG: Portable device for long-term monitoring. ► Video EEG: Combines EEG with video recording for detailed observation. ► Sleep EEG: Conducted during sleep to study disorders. ► Invasive EEG: Electrodes placed inside the skull. ► Quantitative EEG (qEEG): Analyzes brain wave patterns digitally.
  • 20. Brain Waves and Their Significance ► Alpha Waves: Relaxed and calm state (8–13 Hz). ► Beta Waves: Active thinking, focus (13–30 Hz). ► Theta Waves: Light sleep, relaxation (4–8 Hz). ► Delta Waves: Deep sleep, restorative state (0.5–4 Hz). ► Gamma Waves: Cognitive function, memory (30+ Hz). ► Brain waves shift due to factors like stress, medication, or neurological conditions.
  • 22. Applications of EEG ► Medical Diagnosis: Epilepsy, brain tumors, stroke, and sleep disorders. ► Research: Cognitive neuroscience and brain- computer interfaces. ► Monitoring: During surgery or in the ICU for critical care. ► Mental Health: Analysis of anxiety, depression, ADHD, etc. ► -Detects brain death or coma states in critical care settings.
  • 23. Conclusion[EEG] ► EEG is vital for understanding brain function and neurological disorders. ► It is a non-invasive and versatile diagnostic tool.