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Design biomedical instrumentation systems
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Module 6
Nervous System: EEG Signal Analysis
1
EEG Frequency Bands: A Spectral Analysis Approach
Apply spectral analysis (FFT) to identify EEG frequency bands (delta, theta, alpha, beta, gamma).
Apply spectral analysis (FFT) to identify EEG frequency bands (delta, theta, alpha, beta, gamma).
2
EEG Bands and Brain States
Correlate specific EEG frequency band activity with cognitive and emotional states (e.g., arousal, attention, relaxation).
Correlate specific EEG frequency band activity with cognitive and emotional states (e.g., arousal, attention, relaxation).
3
Quantitative EEG Brain Mapping
Perform quantitative EEG (qEEG) analysis to create topographical brain maps.
Perform quantitative EEG (qEEG) analysis to create topographical brain maps.
4
Extracting ERPs: The Averaging Process
Describe the process of averaging to extract event-related potentials (ERPs) from raw EEG data.
Describe the process of averaging to extract event-related potentials (ERPs) from raw EEG data.
5
ERP Components in Cognitive Tasks
Analyze ERP components (e.g., P300, N400) in the context of cognitive tasks.
Analyze ERP components (e.g., P300, N400) in the context of cognitive tasks.
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Nervous System: EEG Principles and Acquisition
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Autonomic and Somatic Nervous System Indicators