Journal: Frontiers in Neuroergonomics

Article Title: Assessment of mental workload across cognitive tasks using a passive brain-computer interface based on mean negative theta-band amplitudes

doi: 10.3389/fnrgo.2023.1233722

Figure Lengend Snippet: The most active EEG channels with data in the theta frequency band are in the pre-frontal and frontal region, related to mental workload. The most active EEG channels during task execution, after an average analysis per task, considering the data of all subjects in the theta frequency band are channels 1, 2, 33, 36, 34, and 3, located on FP1, FP2, AF7, AF8, AF3, and F7, respectively (actiCAP 64Ch layout). After an independent average over each task these are the most active channels in all tasks. We use the information in these six channels in the second step of our feature extraction method. Note that there are some channels out of the relevant topographic region (among the least common, except for ch35), but these are not active beyond one single task. Between channels ch3 and ch28, we have selected ch3 because it is nearest to those in the most active (or populated) region.

Article Snippet: EEG data were acquired from 15 subjects using a 64 active electrode EEG system (BrainAmp DC, Brain Products GmbH, Gilching, Germany, using actiCAP electrode caps) organized according to the extended 10- 20 system.

Techniques: Extraction

Journal: Frontiers in Neuroergonomics

Article Title: Assessment of mental workload across cognitive tasks using a passive brain-computer interface based on mean negative theta-band amplitudes

doi: 10.3389/fnrgo.2023.1233722

Figure Lengend Snippet: The most active EEG channels with data in the upper alpha frequency band during task execution are in the parietal, and parietal-occipital region, related to mental workload. After filtering the same data through the upper alpha band (10–13Hz) and following an analogous procedure of preprocessing and feature extraction (Sections 2.2. and 2.3), considering the data of all tasks and subjects, the most active channels are 60, 61, 64, 29, 62, and 63, located on PO7, PO3, PO8, O1, POz, and PO4, respectively (actiCAP 64Ch layout). All channels are in the neighborhood of the most active region.

Article Snippet: EEG data were acquired from 15 subjects using a 64 active electrode EEG system (BrainAmp DC, Brain Products GmbH, Gilching, Germany, using actiCAP electrode caps) organized according to the extended 10- 20 system.

Techniques: Extraction

Journal: Frontiers in Neuroergonomics

Article Title: Assessment of mental workload across cognitive tasks using a passive brain-computer interface based on mean negative theta-band amplitudes

doi: 10.3389/fnrgo.2023.1233722

Figure Lengend Snippet: Theta Negative topographic colored maps over the 64-channel actiCAP layout of the means of vectors (1 × 64) of trials performed by all the 12 subjects, for each of the two workload conditions, for task T0. For each trial (preprocessed with theta band filtering, trimming and scaling with Equations 1–8) we found an average per EEG channel of all the sample components of the trial that have a negative amplitude in that channel. Afterwards, for each task, we computed an average of these mean values [vector representations (1 × 64) of trials] across all the subjects in the dataset.

Article Snippet: EEG data were acquired from 15 subjects using a 64 active electrode EEG system (BrainAmp DC, Brain Products GmbH, Gilching, Germany, using actiCAP electrode caps) organized according to the extended 10- 20 system.

Techniques: Plasmid Preparation

Journal: Frontiers in Neuroergonomics

Article Title: Assessment of mental workload across cognitive tasks using a passive brain-computer interface based on mean negative theta-band amplitudes

doi: 10.3389/fnrgo.2023.1233722

Figure Lengend Snippet: Upper Alpha Negative topographic colored maps over the 64-channel actiCAP layout of the means of vectors (1 × 64) of trials performed by all the 12 subjects, for each of the two workload conditions, for tasks T0 (A) and T1 (B) . For each trial (preprocessed with upper alpha band filtering, trimming and scaling with Equations 1–8) we found an average per EEG channel of all the sample components of the trial that have a negative amplitude in that channel. Afterwards, for each task, we computed an average of these mean values [vector representations (1 × 64) of trials] across all the subjects in the dataset.

Article Snippet: EEG data were acquired from 15 subjects using a 64 active electrode EEG system (BrainAmp DC, Brain Products GmbH, Gilching, Germany, using actiCAP electrode caps) organized according to the extended 10- 20 system.

Techniques: Plasmid Preparation