BCI - Revision history

Wiki: /* Datasets */

2024-11-22T18:11:02Z

Datasets

Vs at 10:10, 15 February 2024

2024-02-15T10:10:57Z

Vs at 10:08, 15 February 2024

2024-02-15T10:08:50Z

Vs at 21:41, 12 February 2024

2024-02-12T21:41:50Z

Wiki at 10:28, 12 September 2023

2023-09-12T10:28:42Z

Wiki: /* Neiry-demons */

2023-06-23T19:47:32Z

Neiry-demons

Wiki: /* Matlab Toolboxes */

2023-05-05T01:39:02Z

Matlab Toolboxes

Wiki: /* Python EEG ERP toolboxes */

2023-05-05T01:38:08Z

Python EEG ERP toolboxes

Wiki: /* Tools */

2023-05-05T01:37:36Z

Tools

Wiki: /* = Neiry-demons */

2023-05-02T01:30:11Z

= Neiry-demons

@@ Line 6: / Line 6: @@
   }}
 == Datasets ==
 == ERP data ==
 Event-related potential, see [https://en.wikipedia.org/wiki/Event-related_potential ERP] and [https://en.wikipedia.org/wiki/P300_(neuroscience) P300] is triggered by a stimulus and registered over [https://en.wikipedia.org/wiki/Electroencephalography EEG] monitor electrodes after the stimulus onset and before it.

@@ Line 3: / Line 3: @@
   |titlemode=append
   |keywords=Brain Computer Interface
-  |description=The course "Brain-Computer Interfaces and Functional Data Analysis" enlightens fundamental mathematical concepts of brain signal analysis
+  |description=The course Brain-Computer Interfaces and Functional Data Analysis enlightens fundamental mathematical concepts of brain signal analysis
   }}
 == Datasets ==

@@ Line 3: / Line 3: @@
   |titlemode=append
   |keywords=Brain Computer Interface
-  |description=The course "Brain-Computer Interfaces and Functional Data Analysis" enlightens fundamental mathematical concepts of brain signal analysis.
+  |description=The course "Brain-Computer Interfaces and Functional Data Analysis" enlightens fundamental mathematical concepts of brain signal analysis
   }}
 == Datasets ==
@@ Line 29: / Line 29: @@
 === The Nencki-Symfonia EEG/ERP dataset ===
-First, data validation confirmed acceptable quality of the obtained EEG signals. Typical event-related potential (ERP) waveforms were obtained, as expected, for attention and cognitive control tasks (i.e., N200, P300, N450).
+First, data validation confirmed the acceptable quality of the obtained EEG signals. Typical event-related potential (ERP) waveforms were obtained, as expected, for attention and cognitive control tasks (i.e., N200, P300, N450).
 * [https://ftp.cngb.org/pub/gigadb/pub/10.5524/100001_101000/100990/ FTP]
 * [http://doi.org/10.5524/100990 Paper]
@@ Line 86: / Line 86: @@
 # Event Related Potentials, explains how to extract Event Related Potentials [http://learn.neurotechedu.com/erp/#:~:text=Feature%20extraction%20is%20the%20process,the%20accuracy%20of%20the%20BCI]
 # NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing Stress on ECG, slightly on EEG, not ERP, provides a comprehensive suite of processing routines for a variety of bodily signals (e.g., ECG, PPG, EDA, EMG, RSP) [https://doi.org/10.3758/s13428-020-01516-y]
-# PyEEG [https://code.google.com/archive/p/pyeeg], the Reference Guide shows poor list of functions
+# PyEEG [https://code.google.com/archive/p/pyeeg], the Reference Guide shows a poor list of functions
 # HTNet [https://github.com/BruntonUWBio/HTNet_generalized_decoding]
 # EEGNet [https://github.com/vlawhern/arl-eegmodels/tree/master/examples]
-# Gumpy does not downloads data automatically, no way
+# Gumpy does not download data automatically, no way
 ===GP and Space-State Models===
@@ Line 122: / Line 122: @@
 ===SSA, SVD, PCA===
 * non-parametric phase space Hankel matrix
-* convoluion ?
+* convoluion?
 * forecasting with SSA

← Older revision		Revision as of 21:41, 12 February 2024
Line 1:		Line 1:
		+	{{#seo:
		+	\|title=Brain Computer Interface
		+	\|titlemode=append
		+	\|keywords=Brain Computer Interface
		+	\|description=The course "Brain-Computer Interfaces and Functional Data Analysis" enlightens fundamental mathematical concepts of brain signal analysis.
		+	}}
	== Datasets ==		== Datasets ==
	== ERP data ==		== ERP data ==

← Older revision		Revision as of 10:28, 12 September 2023
Line 140:		Line 140:
	* Sampling principle		* Sampling principle
	* VAE as PPCA encoder-decoder		* VAE as PPCA encoder-decoder
−
−	~~==Introduction to BCI==~~
−
−	~~==Decoding problem==~~
−
−	~~==Models of BCI==~~
−
−	~~==References==~~

@@ Line 62: / Line 62: @@
 Detection of ERP presence after stumulus.
 * [https://gin.g-node.org/v-goncharenko/neiry-demons Gin]
 == Tools ==

@@ Line 85: / Line 85: @@
 # EEGLAB
 # FieldTrip [https://www.fieldtriptoolbox.org/]
-# The BBCI Toolbox is a Brain-Computer Interface (BCI) toolbox [https://github.com/bbci/bbci_public
+# The BBCI Toolbox is a Brain-Computer Interface (BCI) toolbox [https://github.com/bbci/bbci_public]
-ERP_Connectivity_EMG_Analysis]
+# ERP Connectivity EMG Analysis [https://github.com/EsiSeraj/ERP_Connectivity_EMG_Analysis]
 == Experiments ==

@@ Line 67: / Line 67: @@
 https://paperswithcode.com/search?q_meta=&q_type=&q=EEG
 ===Python EEG ERP toolboxes===
-# PyRiemann, the main toolbox in this project [https://github.com/pyRiemann/pyRiemann], [
+# PyRiemann, the main toolbox in this project [https://github.com/pyRiemann/pyRiemann], [https://pyriemann.readthedocs.io/en/latest/auto_examples/index.html#classification-of-erp]
 # Event Related Potentials, explains how to extract Event Related Potentials [http://learn.neurotechedu.com/erp/#:~:text=Feature%20extraction%20is%20the%20process,the%20accuracy%20of%20the%20BCI]
 # NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing Stress on ECG, slightly on EEG, not ERP, provides a comprehensive suite of processing routines for a variety of bodily signals (e.g., ECG, PPG, EDA, EMG, RSP) [https://doi.org/10.3758/s13428-020-01516-y]

← Older revision		Revision as of 01:37, 5 May 2023
Line 64:		Line 64:

	== Tools ==		== Tools ==
		+	Search through the list of papers with code
		+	https://paperswithcode.com/search?q_meta=&q_type=&q=EEG
		+	===Python EEG ERP toolboxes===
		+	# PyRiemann, the main toolbox in this project [https://github.com/pyRiemann/pyRiemann], [
		+	https://pyriemann.readthedocs.io/en/latest/auto_examples/index.html#classification-of-erp]
		+	# Event Related Potentials, explains how to extract Event Related Potentials [http://learn.neurotechedu.com/erp/#:~:text=Feature%20extraction%20is%20the%20process,the%20accuracy%20of%20the%20BCI]
		+	# NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing Stress on ECG, slightly on EEG, not ERP, provides a comprehensive suite of processing routines for a variety of bodily signals (e.g., ECG, PPG, EDA, EMG, RSP) [https://doi.org/10.3758/s13428-020-01516-y]
		+	# PyEEG [https://code.google.com/archive/p/pyeeg], the Reference Guide shows poor list of functions
		+	# HTNet [https://github.com/BruntonUWBio/HTNet_generalized_decoding]
		+	# EEGNet [https://github.com/vlawhern/arl-eegmodels/tree/master/examples]
		+	# Gumpy does not downloads data automatically, no way

		+	===GP and Space-State Models===
		+	# State Space Models, the latest one S4 [https://github.com/srush/annotated-s4/]
		+	# GPPython, for Gaussian process modeling (now the sklearn models are used)
		+	# GPy, Gaussian Process framework in Python [https://gpy.readthedocs.io/en/deploy/]
		+
		+	===Matlab Toolboxes===
		+	# Signal processing, etc. goes with Matlab [https://www.mathworks.com/discovery/feature-extraction.html]
		+	# EDF file analyzer [https://www.mathworks.com/help/signal/ref/edffileanalyzer-app.html]
		+	# EEGLAB
		+	# FieldTrip [https://www.fieldtriptoolbox.org/]
		+	# The BBCI Toolbox is a Brain-Computer Interface (BCI) toolbox [https://github.com/bbci/bbci_public
		+	ERP_Connectivity_EMG_Analysis]

	== Experiments ==		== Experiments ==

@@ Line 59: / Line 59: @@
 * [https://openneuro.org/search/modality/eeg?query=%7B%22modality_selected%22%3A%22EEG%22%7D Search]
-==== Neiry-demons===
+=== Neiry-demons===
 Detection of ERP presence after stumulus.
 * [https://gin.g-node.org/v-goncharenko/neiry-demons Gin]