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Biotechnology and Biomedical Engineering
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Biosignal Processing and Analysis
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Temporal structure in EEG
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Temporal structure in EEG
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Theory
Procedure
Simulator
PreTest
PostTest
References
Feedback
1)
The methods used to extract features from EEG signals are:
Fast fourier transform (FFT)
Wavelet transform (WT)
Auto regressive method (ARM)
All the above
2)
A notable feature of EEG :
High spatial resolution
High temporal resolution
Low temporal resolution
None of the above
3)
The biological signals obtained from an electroencephalographic recording were characterized by:
Waveform shape
Temporal properties
Statistical structure
All the above
4)
Pre-processing of raw EEG data were done to
Improve the signal-to-noise ratio
Improve the classification Accuracy
Decrease the signal-to-noise ratio
Both a and b
5)
The electrodes placement on the scalp regions of brain for EEG recoding are in :
20-30 Placement system
10-20 Placement system
30-40 Placement system
5-10 placement system
Cite this Simulator:
vlab.amrita.edu,. (2021). Temporal structure in EEG. Retrieved 16 June 2024, from vlab.amrita.edu/index.php/userfiles/theme/amrita/css/main.css?brch=310&cnt=3813&sim=1851&sub=3
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