eeg sensor Search Results


eeg sensor  (PLUX Biosignals SA)
92
PLUX Biosignals SA eeg sensor
Eeg Sensor, supplied by PLUX Biosignals SA, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/eeg sensor/product/PLUX Biosignals SA
Average 92 stars, based on 1 article reviews
eeg sensor - by Bioz Stars, 2026-03
92/100 stars
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eeg sensors  (Medelec Ltd)
90
Medelec Ltd eeg sensors
Eeg Sensors, supplied by Medelec Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/eeg sensors/product/Medelec Ltd
Average 90 stars, based on 1 article reviews
eeg sensors - by Bioz Stars, 2026-03
90/100 stars
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256-channel eeg sensor configuration  (electrical geodesics)
90
electrical geodesics 256-channel eeg sensor configuration
256 Channel Eeg Sensor Configuration, supplied by electrical geodesics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/256-channel eeg sensor configuration/product/electrical geodesics
Average 90 stars, based on 1 article reviews
256-channel eeg sensor configuration - by Bioz Stars, 2026-03
90/100 stars
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openvibe eeg sensor channel  (MongoDB Inc)
90
MongoDB Inc openvibe eeg sensor channel
( a ) NAZZY IronMan with Frozen Videogame & iOS Warfighter Mobile Game for Brain Computer Interface Project with <t>Emotiv/OpenVibe</t> Wireless electroencephalography <t>(EEG)</t> brain signal(s) data while using machine learning algorithms to classify brain signals in iOS videogame applications utilizing EEG brain signal data storage in NoSQL database MongoDB. ( b ) NAZZY IronMan with Frozen Project with Emotiv Wireless EEG brain signal(s) data using machine learning algorithms to classify brain signals in iOS Frozen videogame utilizing EEG brain signal data storage in NoSQL database MongoDB.
Openvibe Eeg Sensor Channel, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/openvibe eeg sensor channel/product/MongoDB Inc
Average 90 stars, based on 1 article reviews
openvibe eeg sensor channel - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
64 eeg sensor net  (Compumedics Neuroscan)
90
Compumedics Neuroscan 64 eeg sensor net
( a ) NAZZY IronMan with Frozen Videogame & iOS Warfighter Mobile Game for Brain Computer Interface Project with <t>Emotiv/OpenVibe</t> Wireless electroencephalography <t>(EEG)</t> brain signal(s) data while using machine learning algorithms to classify brain signals in iOS videogame applications utilizing EEG brain signal data storage in NoSQL database MongoDB. ( b ) NAZZY IronMan with Frozen Project with Emotiv Wireless EEG brain signal(s) data using machine learning algorithms to classify brain signals in iOS Frozen videogame utilizing EEG brain signal data storage in NoSQL database MongoDB.
64 Eeg Sensor Net, supplied by Compumedics Neuroscan, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/64 eeg sensor net/product/Compumedics Neuroscan
Average 90 stars, based on 1 article reviews
64 eeg sensor net - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
high-density sleep eeg electrical geodesics sensor net for long-term monitoring  (electrical geodesics)
90
electrical geodesics high-density sleep eeg electrical geodesics sensor net for long-term monitoring
( a ) NAZZY IronMan with Frozen Videogame & iOS Warfighter Mobile Game for Brain Computer Interface Project with <t>Emotiv/OpenVibe</t> Wireless electroencephalography <t>(EEG)</t> brain signal(s) data while using machine learning algorithms to classify brain signals in iOS videogame applications utilizing EEG brain signal data storage in NoSQL database MongoDB. ( b ) NAZZY IronMan with Frozen Project with Emotiv Wireless EEG brain signal(s) data using machine learning algorithms to classify brain signals in iOS Frozen videogame utilizing EEG brain signal data storage in NoSQL database MongoDB.
High Density Sleep Eeg Electrical Geodesics Sensor Net For Long Term Monitoring, supplied by electrical geodesics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/high-density sleep eeg electrical geodesics sensor net for long-term monitoring/product/electrical geodesics
Average 90 stars, based on 1 article reviews
high-density sleep eeg electrical geodesics sensor net for long-term monitoring - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
sedline sensor  (Sedline Inc)
90
Sedline Inc sedline sensor
( a ) NAZZY IronMan with Frozen Videogame & iOS Warfighter Mobile Game for Brain Computer Interface Project with <t>Emotiv/OpenVibe</t> Wireless electroencephalography <t>(EEG)</t> brain signal(s) data while using machine learning algorithms to classify brain signals in iOS videogame applications utilizing EEG brain signal data storage in NoSQL database MongoDB. ( b ) NAZZY IronMan with Frozen Project with Emotiv Wireless EEG brain signal(s) data using machine learning algorithms to classify brain signals in iOS Frozen videogame utilizing EEG brain signal data storage in NoSQL database MongoDB.
Sedline Sensor, supplied by Sedline Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sedline sensor/product/Sedline Inc
Average 90 stars, based on 1 article reviews
sedline sensor - by Bioz Stars, 2026-03
90/100 stars
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electroencephalography (eeg) sensors  (Bio-Impedance Technology Inc)
90
Bio-Impedance Technology Inc electroencephalography (eeg) sensors
( a ) NAZZY IronMan with Frozen Videogame & iOS Warfighter Mobile Game for Brain Computer Interface Project with <t>Emotiv/OpenVibe</t> Wireless electroencephalography <t>(EEG)</t> brain signal(s) data while using machine learning algorithms to classify brain signals in iOS videogame applications utilizing EEG brain signal data storage in NoSQL database MongoDB. ( b ) NAZZY IronMan with Frozen Project with Emotiv Wireless EEG brain signal(s) data using machine learning algorithms to classify brain signals in iOS Frozen videogame utilizing EEG brain signal data storage in NoSQL database MongoDB.
Electroencephalography (Eeg) Sensors, supplied by Bio-Impedance Technology Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/electroencephalography (eeg) sensors/product/Bio-Impedance Technology Inc
Average 90 stars, based on 1 article reviews
electroencephalography (eeg) sensors - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
eeg sensors  (Elekta)
90
Elekta eeg sensors
( a ) NAZZY IronMan with Frozen Videogame & iOS Warfighter Mobile Game for Brain Computer Interface Project with <t>Emotiv/OpenVibe</t> Wireless electroencephalography <t>(EEG)</t> brain signal(s) data while using machine learning algorithms to classify brain signals in iOS videogame applications utilizing EEG brain signal data storage in NoSQL database MongoDB. ( b ) NAZZY IronMan with Frozen Project with Emotiv Wireless EEG brain signal(s) data using machine learning algorithms to classify brain signals in iOS Frozen videogame utilizing EEG brain signal data storage in NoSQL database MongoDB.
Eeg Sensors, supplied by Elekta, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/eeg sensors/product/Elekta
Average 90 stars, based on 1 article reviews
eeg sensors - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
ground sensor diopsys ® eeg electrode  (Diopsys Inc)
90
Diopsys Inc ground sensor diopsys ® eeg electrode
( a ) NAZZY IronMan with Frozen Videogame & iOS Warfighter Mobile Game for Brain Computer Interface Project with <t>Emotiv/OpenVibe</t> Wireless electroencephalography <t>(EEG)</t> brain signal(s) data while using machine learning algorithms to classify brain signals in iOS videogame applications utilizing EEG brain signal data storage in NoSQL database MongoDB. ( b ) NAZZY IronMan with Frozen Project with Emotiv Wireless EEG brain signal(s) data using machine learning algorithms to classify brain signals in iOS Frozen videogame utilizing EEG brain signal data storage in NoSQL database MongoDB.
Ground Sensor Diopsys ® Eeg Electrode, supplied by Diopsys Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/ground sensor diopsys ® eeg electrode/product/Diopsys Inc
Average 90 stars, based on 1 article reviews
ground sensor diopsys ® eeg electrode - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
eeg caps of 64 biosemi® electrodes  (BioSemi)
90
BioSemi eeg caps of 64 biosemi® electrodes
PCMCI was calculated both within persons and between pairs of leader-follower. The result is shown here as nodes and connections, with stronger colors for stronger correlations. Each person’s brain is represented by a triad of <t>EEG-electrodes:</t> F4, Fz and F3. Here is an example of two persons, P1 and P2, forming a pair. In panel A P1 is the leader and P2 is the follower, and in panel B P2 is the leader and P1 is the follower. The triad of the leader has the letter L in front of the EEG-electrode names and the triad of the follower has the letter F in the same place. The connections within a triad of EEG-electrodes reflect the PCMCI correlations within a brain. The connections between triads represent PCMCI correlations between the pair. The numbers indicate the time steps of the existing correlations, starting with the one that had the strongest correlation. For example, “4,5,1,2,3” when P2 was leader there were 5 correlations from L Fz to L F3 within the brain. The strongest correlation was from 4 time steps before the time point of interest, this is here shown as a blue arrow from L Fz to L F3. Other correlations existed, with lower and falling values at 5, 1, 2 and 3 time steps leading up to the time point of interest.
Eeg Caps Of 64 Biosemi® Electrodes, supplied by BioSemi, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/eeg caps of 64 biosemi® electrodes/product/BioSemi
Average 90 stars, based on 1 article reviews
eeg caps of 64 biosemi® electrodes - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
sensor net layout (2.1 version) for 128-channel eeg sites with channel numeration  (electrical geodesics)
90
electrical geodesics sensor net layout (2.1 version) for 128-channel eeg sites with channel numeration
PCMCI was calculated both within persons and between pairs of leader-follower. The result is shown here as nodes and connections, with stronger colors for stronger correlations. Each person’s brain is represented by a triad of <t>EEG-electrodes:</t> F4, Fz and F3. Here is an example of two persons, P1 and P2, forming a pair. In panel A P1 is the leader and P2 is the follower, and in panel B P2 is the leader and P1 is the follower. The triad of the leader has the letter L in front of the EEG-electrode names and the triad of the follower has the letter F in the same place. The connections within a triad of EEG-electrodes reflect the PCMCI correlations within a brain. The connections between triads represent PCMCI correlations between the pair. The numbers indicate the time steps of the existing correlations, starting with the one that had the strongest correlation. For example, “4,5,1,2,3” when P2 was leader there were 5 correlations from L Fz to L F3 within the brain. The strongest correlation was from 4 time steps before the time point of interest, this is here shown as a blue arrow from L Fz to L F3. Other correlations existed, with lower and falling values at 5, 1, 2 and 3 time steps leading up to the time point of interest.
Sensor Net Layout (2.1 Version) For 128 Channel Eeg Sites With Channel Numeration, supplied by electrical geodesics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sensor net layout (2.1 version) for 128-channel eeg sites with channel numeration/product/electrical geodesics
Average 90 stars, based on 1 article reviews
sensor net layout (2.1 version) for 128-channel eeg sites with channel numeration - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


( a ) NAZZY IronMan with Frozen Videogame & iOS Warfighter Mobile Game for Brain Computer Interface Project with Emotiv/OpenVibe Wireless electroencephalography (EEG) brain signal(s) data while using machine learning algorithms to classify brain signals in iOS videogame applications utilizing EEG brain signal data storage in NoSQL database MongoDB. ( b ) NAZZY IronMan with Frozen Project with Emotiv Wireless EEG brain signal(s) data using machine learning algorithms to classify brain signals in iOS Frozen videogame utilizing EEG brain signal data storage in NoSQL database MongoDB.

Journal: Diseases

Article Title: A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

doi: 10.3390/diseases6040089

Figure Lengend Snippet: ( a ) NAZZY IronMan with Frozen Videogame & iOS Warfighter Mobile Game for Brain Computer Interface Project with Emotiv/OpenVibe Wireless electroencephalography (EEG) brain signal(s) data while using machine learning algorithms to classify brain signals in iOS videogame applications utilizing EEG brain signal data storage in NoSQL database MongoDB. ( b ) NAZZY IronMan with Frozen Project with Emotiv Wireless EEG brain signal(s) data using machine learning algorithms to classify brain signals in iOS Frozen videogame utilizing EEG brain signal data storage in NoSQL database MongoDB.

Article Snippet: In addition in , once the OpenVibe EEG sensor channel is Tokenized and ingested in MongoDB, the usage of signal processing techniques on EEG channels can be implemented in MongoDB also utilizing the MapReduce computational paradigm algorithm for key-value pair analysis with signal processing techniques illustrated in , below.

Techniques:

Emotiv and OpenVibe EEG Sensor Array stored in Cassandra NoSQL database.

Journal: Diseases

Article Title: A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

doi: 10.3390/diseases6040089

Figure Lengend Snippet: Emotiv and OpenVibe EEG Sensor Array stored in Cassandra NoSQL database.

Article Snippet: In addition in , once the OpenVibe EEG sensor channel is Tokenized and ingested in MongoDB, the usage of signal processing techniques on EEG channels can be implemented in MongoDB also utilizing the MapReduce computational paradigm algorithm for key-value pair analysis with signal processing techniques illustrated in , below.

Techniques:

OpenVibe EEG Sensor Array stored in Cassandra NoSQL KEYSPACE (database) with Simple_Strategy and Replication Factor = 1.

Journal: Diseases

Article Title: A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

doi: 10.3390/diseases6040089

Figure Lengend Snippet: OpenVibe EEG Sensor Array stored in Cassandra NoSQL KEYSPACE (database) with Simple_Strategy and Replication Factor = 1.

Article Snippet: In addition in , once the OpenVibe EEG sensor channel is Tokenized and ingested in MongoDB, the usage of signal processing techniques on EEG channels can be implemented in MongoDB also utilizing the MapReduce computational paradigm algorithm for key-value pair analysis with signal processing techniques illustrated in , below.

Techniques:

OpenVibe EEG Sensor Array stored in Cassandra NoSQL KEYSPACE (database) with Simple_Strategy and Replication Factor = 1 displaying primary key and all attributes for keyspace, eeg_motor_imagery_openvibe and table, eeg_1_signal Cassandra statistics.

Journal: Diseases

Article Title: A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

doi: 10.3390/diseases6040089

Figure Lengend Snippet: OpenVibe EEG Sensor Array stored in Cassandra NoSQL KEYSPACE (database) with Simple_Strategy and Replication Factor = 1 displaying primary key and all attributes for keyspace, eeg_motor_imagery_openvibe and table, eeg_1_signal Cassandra statistics.

Article Snippet: In addition in , once the OpenVibe EEG sensor channel is Tokenized and ingested in MongoDB, the usage of signal processing techniques on EEG channels can be implemented in MongoDB also utilizing the MapReduce computational paradigm algorithm for key-value pair analysis with signal processing techniques illustrated in , below.

Techniques:

OpenVibe EEG Sensor Array stored in Cassandra NoSQL KEYSPACE (database) with Simple_Strategy, table, eeg_1_signal importing 317,825 rows of EEG brain signal data.

Journal: Diseases

Article Title: A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

doi: 10.3390/diseases6040089

Figure Lengend Snippet: OpenVibe EEG Sensor Array stored in Cassandra NoSQL KEYSPACE (database) with Simple_Strategy, table, eeg_1_signal importing 317,825 rows of EEG brain signal data.

Article Snippet: In addition in , once the OpenVibe EEG sensor channel is Tokenized and ingested in MongoDB, the usage of signal processing techniques on EEG channels can be implemented in MongoDB also utilizing the MapReduce computational paradigm algorithm for key-value pair analysis with signal processing techniques illustrated in , below.

Techniques:

OpenVibe EEG Sensor Array stored in Cassandra NoSQL KEYSPACE (database) with Simple_Strategy, Stimulation table, eeg_signal_1_stimulation_table importing eeg brain signal data ( e.g., time, identifier, duration ).

Journal: Diseases

Article Title: A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

doi: 10.3390/diseases6040089

Figure Lengend Snippet: OpenVibe EEG Sensor Array stored in Cassandra NoSQL KEYSPACE (database) with Simple_Strategy, Stimulation table, eeg_signal_1_stimulation_table importing eeg brain signal data ( e.g., time, identifier, duration ).

Article Snippet: In addition in , once the OpenVibe EEG sensor channel is Tokenized and ingested in MongoDB, the usage of signal processing techniques on EEG channels can be implemented in MongoDB also utilizing the MapReduce computational paradigm algorithm for key-value pair analysis with signal processing techniques illustrated in , below.

Techniques:

Java Tokenization of OpenVibe EEG Sensor Array inputted into MongoDB Collection utilizing db.openVibeSignal.find() queries.

Journal: Diseases

Article Title: A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

doi: 10.3390/diseases6040089

Figure Lengend Snippet: Java Tokenization of OpenVibe EEG Sensor Array inputted into MongoDB Collection utilizing db.openVibeSignal.find() queries.

Article Snippet: In addition in , once the OpenVibe EEG sensor channel is Tokenized and ingested in MongoDB, the usage of signal processing techniques on EEG channels can be implemented in MongoDB also utilizing the MapReduce computational paradigm algorithm for key-value pair analysis with signal processing techniques illustrated in , below.

Techniques:

Java Program for Emotiv and OpenVibe EEG Sensor Array Channel inserting a document into MongoDB Collection using Java class BasicDBObject .

Journal: Diseases

Article Title: A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

doi: 10.3390/diseases6040089

Figure Lengend Snippet: Java Program for Emotiv and OpenVibe EEG Sensor Array Channel inserting a document into MongoDB Collection using Java class BasicDBObject .

Article Snippet: In addition in , once the OpenVibe EEG sensor channel is Tokenized and ingested in MongoDB, the usage of signal processing techniques on EEG channels can be implemented in MongoDB also utilizing the MapReduce computational paradigm algorithm for key-value pair analysis with signal processing techniques illustrated in , below.

Techniques:

OpenVibe EEG Sensor Array Java Program for Brainwave Signal Stimulation Codes for time, stimulation code, and duration.

Journal: Diseases

Article Title: A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

doi: 10.3390/diseases6040089

Figure Lengend Snippet: OpenVibe EEG Sensor Array Java Program for Brainwave Signal Stimulation Codes for time, stimulation code, and duration.

Article Snippet: In addition in , once the OpenVibe EEG sensor channel is Tokenized and ingested in MongoDB, the usage of signal processing techniques on EEG channels can be implemented in MongoDB also utilizing the MapReduce computational paradigm algorithm for key-value pair analysis with signal processing techniques illustrated in , below.

Techniques:

PCMCI was calculated both within persons and between pairs of leader-follower. The result is shown here as nodes and connections, with stronger colors for stronger correlations. Each person’s brain is represented by a triad of EEG-electrodes: F4, Fz and F3. Here is an example of two persons, P1 and P2, forming a pair. In panel A P1 is the leader and P2 is the follower, and in panel B P2 is the leader and P1 is the follower. The triad of the leader has the letter L in front of the EEG-electrode names and the triad of the follower has the letter F in the same place. The connections within a triad of EEG-electrodes reflect the PCMCI correlations within a brain. The connections between triads represent PCMCI correlations between the pair. The numbers indicate the time steps of the existing correlations, starting with the one that had the strongest correlation. For example, “4,5,1,2,3” when P2 was leader there were 5 correlations from L Fz to L F3 within the brain. The strongest correlation was from 4 time steps before the time point of interest, this is here shown as a blue arrow from L Fz to L F3. Other correlations existed, with lower and falling values at 5, 1, 2 and 3 time steps leading up to the time point of interest.

Journal: Frontiers in Neuroscience

Article Title: Directed causal effect with PCMCI in hyperscanning EEG time series

doi: 10.3389/fnins.2024.1305918

Figure Lengend Snippet: PCMCI was calculated both within persons and between pairs of leader-follower. The result is shown here as nodes and connections, with stronger colors for stronger correlations. Each person’s brain is represented by a triad of EEG-electrodes: F4, Fz and F3. Here is an example of two persons, P1 and P2, forming a pair. In panel A P1 is the leader and P2 is the follower, and in panel B P2 is the leader and P1 is the follower. The triad of the leader has the letter L in front of the EEG-electrode names and the triad of the follower has the letter F in the same place. The connections within a triad of EEG-electrodes reflect the PCMCI correlations within a brain. The connections between triads represent PCMCI correlations between the pair. The numbers indicate the time steps of the existing correlations, starting with the one that had the strongest correlation. For example, “4,5,1,2,3” when P2 was leader there were 5 correlations from L Fz to L F3 within the brain. The strongest correlation was from 4 time steps before the time point of interest, this is here shown as a blue arrow from L Fz to L F3. Other correlations existed, with lower and falling values at 5, 1, 2 and 3 time steps leading up to the time point of interest.

Article Snippet: They were equipped with EEG caps of 64 BioSemi® electrodes (BioSemi instrumentation).

Techniques: