Resource Person:- Dr. Hemant Choubey
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Week |
Lecture No. |
Topic Name |
YouTube Video Link |
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1 |
1 |
Introduction of EEG and its types |
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2 |
Types of EEG |
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3 |
EEG datasets and History |
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4 |
EEG Generation |
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2 |
5 |
Characteristics and Nature of EEG Signals |
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6 |
Brain Rhythms |
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7 |
EEG Recording and Measurement |
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8 |
Abnormal EEG Patterns |
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|
3 |
9 |
Mental Disorder |
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10 |
Basic programming of EEG signal using Google Colab |
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11 |
EEG signal Modelling |
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12 |
Linear and Non Linear Modelling |
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|
4 |
13 |
Generating EEG signals Based on Modelling the Neuronal Activities |
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14 |
Non stationarity and Signal Segmentation |
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|
15 |
Time Frequency Analysis and Wavelet Transform |
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|
16 |
Ambiguity function:Wigner Ville Distribution,Chaos,Dynamic and PCA |
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|
5 |
17 |
Event Related Potential:Segmentation,Separation and Localization |
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18 |
Classification of EEG usingTime Frequency Analysis and Brain Assessment using ERP |
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|
19 |
Seizure Signal Analysis:Epilepsy |
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|
20 |
Seizure Detection |
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|
6 |
21 |
Seizure Detection |
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|
22 |
EEG Source Localization |
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|
23 |
EEG Source Localization:FOCUSS Algorithm |
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|
24 |
EEG Source Localization: Neuroimaging Techniques for Brain Analysis |
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|
7 |
25 |
EEG Source Localization: Maxwell Equation in EEG inverse problems |
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|
26 |
EEG Source Localization: Forward problem |
