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( A – C ) N2 (250-350 ms), recorded at a selection of average frontal <t>electrodes,</t> relative to the two stimulation conditions (painful vs non-painful) for attractive faces ( A ) and unattractive faces ( B ). ( C ) Topographic maps of the N2 ERP component.
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( A – C ) N2 (250-350 ms), recorded at a selection of average frontal <t>electrodes,</t> relative to the two stimulation conditions (painful vs non-painful) for attractive faces ( A ) and unattractive faces ( B ). ( C ) Topographic maps of the N2 ERP component.
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( A – C ) N2 (250-350 ms), recorded at a selection of average frontal <t>electrodes,</t> relative to the two stimulation conditions (painful vs non-painful) for attractive faces ( A ) and unattractive faces ( B ). ( C ) Topographic maps of the N2 ERP component.
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( A – C ) N2 (250-350 ms), recorded at a selection of average frontal <t>electrodes,</t> relative to the two stimulation conditions (painful vs non-painful) for attractive faces ( A ) and unattractive faces ( B ). ( C ) Topographic maps of the N2 ERP component.
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Illustration of the online evaluation/offline cross validation scheme (see also ). In the preliminary offline study, three runs of data were recorded in total. The runs of the data were used as splits for the cross validation as follows. All combinations of runs in a session were used, resulting in three different training/evaluation combinations. Two recorded runs were used for training of the data dependent methods and the remaining run was used for the offline evaluation. In each run the data was recorded using the Magma-Box-Setup, i.e., it consisted of 4 × 32 = <t>128</t> channels <t>of</t> <t>EEG</t> data and 8 channels of EMG data. Due to the restrictions of the recording hardware discussed in the text, a modified recording scheme was used for the offline evaluation. Online evaluation: In this case, the two initial training sets were recorded using the Magma-Box-Setup. In the test/evaluation phase, a single run was recorded using the USB-Box-Setup. The physiological data was processed in real-time and the results recorded for subsequent analysis.
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Illustration of the online evaluation/offline cross validation scheme (see also ). In the preliminary offline study, three runs of data were recorded in total. The runs of the data were used as splits for the cross validation as follows. All combinations of runs in a session were used, resulting in three different training/evaluation combinations. Two recorded runs were used for training of the data dependent methods and the remaining run was used for the offline evaluation. In each run the data was recorded using the Magma-Box-Setup, i.e., it consisted of 4 × 32 = <t>128</t> channels <t>of</t> <t>EEG</t> data and 8 channels of EMG data. Due to the restrictions of the recording hardware discussed in the text, a modified recording scheme was used for the offline evaluation. Online evaluation: In this case, the two initial training sets were recorded using the Magma-Box-Setup. In the test/evaluation phase, a single run was recorded using the USB-Box-Setup. The physiological data was processed in real-time and the results recorded for subsequent analysis.
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Illustration of the online evaluation/offline cross validation scheme (see also ). In the preliminary offline study, three runs of data were recorded in total. The runs of the data were used as splits for the cross validation as follows. All combinations of runs in a session were used, resulting in three different training/evaluation combinations. Two recorded runs were used for training of the data dependent methods and the remaining run was used for the offline evaluation. In each run the data was recorded using the Magma-Box-Setup, i.e., it consisted of 4 × 32 = <t>128</t> channels <t>of</t> <t>EEG</t> data and 8 channels of EMG data. Due to the restrictions of the recording hardware discussed in the text, a modified recording scheme was used for the offline evaluation. Online evaluation: In this case, the two initial training sets were recorded using the Magma-Box-Setup. In the test/evaluation phase, a single run was recorded using the USB-Box-Setup. The physiological data was processed in real-time and the results recorded for subsequent analysis.
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Illustration of the online evaluation/offline cross validation scheme (see also ). In the preliminary offline study, three runs of data were recorded in total. The runs of the data were used as splits for the cross validation as follows. All combinations of runs in a session were used, resulting in three different training/evaluation combinations. Two recorded runs were used for training of the data dependent methods and the remaining run was used for the offline evaluation. In each run the data was recorded using the Magma-Box-Setup, i.e., it consisted of 4 × 32 = <t>128</t> channels <t>of</t> <t>EEG</t> data and 8 channels of EMG data. Due to the restrictions of the recording hardware discussed in the text, a modified recording scheme was used for the offline evaluation. Online evaluation: In this case, the two initial training sets were recorded using the Magma-Box-Setup. In the test/evaluation phase, a single run was recorded using the USB-Box-Setup. The physiological data was processed in real-time and the results recorded for subsequent analysis.
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Illustration of the online evaluation/offline cross validation scheme (see also ). In the preliminary offline study, three runs of data were recorded in total. The runs of the data were used as splits for the cross validation as follows. All combinations of runs in a session were used, resulting in three different training/evaluation combinations. Two recorded runs were used for training of the data dependent methods and the remaining run was used for the offline evaluation. In each run the data was recorded using the Magma-Box-Setup, i.e., it consisted of 4 × 32 = <t>128</t> channels <t>of</t> <t>EEG</t> data and 8 channels of EMG data. Due to the restrictions of the recording hardware discussed in the text, a modified recording scheme was used for the offline evaluation. Online evaluation: In this case, the two initial training sets were recorded using the Magma-Box-Setup. In the test/evaluation phase, a single run was recorded using the USB-Box-Setup. The physiological data was processed in real-time and the results recorded for subsequent analysis.
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Illustration of the online evaluation/offline cross validation scheme (see also ). In the preliminary offline study, three runs of data were recorded in total. The runs of the data were used as splits for the cross validation as follows. All combinations of runs in a session were used, resulting in three different training/evaluation combinations. Two recorded runs were used for training of the data dependent methods and the remaining run was used for the offline evaluation. In each run the data was recorded using the Magma-Box-Setup, i.e., it consisted of 4 × 32 = <t>128</t> channels <t>of</t> <t>EEG</t> data and 8 channels of EMG data. Due to the restrictions of the recording hardware discussed in the text, a modified recording scheme was used for the offline evaluation. Online evaluation: In this case, the two initial training sets were recorded using the Magma-Box-Setup. In the test/evaluation phase, a single run was recorded using the USB-Box-Setup. The physiological data was processed in real-time and the results recorded for subsequent analysis.
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Image Search Results


( A – C ) N2 (250-350 ms), recorded at a selection of average frontal electrodes, relative to the two stimulation conditions (painful vs non-painful) for attractive faces ( A ) and unattractive faces ( B ). ( C ) Topographic maps of the N2 ERP component.

Journal: International Journal of Environmental Research and Public Health

Article Title: The Effect of Cognitive Strategies and Facial Attractiveness on Empathic Neural Responses

doi: 10.3390/ijerph192114617

Figure Lengend Snippet: ( A – C ) N2 (250-350 ms), recorded at a selection of average frontal electrodes, relative to the two stimulation conditions (painful vs non-painful) for attractive faces ( A ) and unattractive faces ( B ). ( C ) Topographic maps of the N2 ERP component.

Article Snippet: For the signal acquisition, 19 active electrodes (AgCl; ActiCAP, Brain Products, Munich, Germany, 10–20 system) connected to a Compumedics NeuroScan SynAmps32 (Victoria, Australia) amplifier were used.

Techniques: Selection

( A – C ) P3 (320-580 ms), recorded at a selection of average centro-parietal electrodes relative to the two stimulation conditions (painful vs. non-painful) for the pain judgment ( A ) and attractiveness judgment task ( B ). ( C ) Topographic maps of the P3 ERP component (320-580 ms).

Journal: International Journal of Environmental Research and Public Health

Article Title: The Effect of Cognitive Strategies and Facial Attractiveness on Empathic Neural Responses

doi: 10.3390/ijerph192114617

Figure Lengend Snippet: ( A – C ) P3 (320-580 ms), recorded at a selection of average centro-parietal electrodes relative to the two stimulation conditions (painful vs. non-painful) for the pain judgment ( A ) and attractiveness judgment task ( B ). ( C ) Topographic maps of the P3 ERP component (320-580 ms).

Article Snippet: For the signal acquisition, 19 active electrodes (AgCl; ActiCAP, Brain Products, Munich, Germany, 10–20 system) connected to a Compumedics NeuroScan SynAmps32 (Victoria, Australia) amplifier were used.

Techniques: Selection

Illustration of the online evaluation/offline cross validation scheme (see also ). In the preliminary offline study, three runs of data were recorded in total. The runs of the data were used as splits for the cross validation as follows. All combinations of runs in a session were used, resulting in three different training/evaluation combinations. Two recorded runs were used for training of the data dependent methods and the remaining run was used for the offline evaluation. In each run the data was recorded using the Magma-Box-Setup, i.e., it consisted of 4 × 32 = 128 channels of EEG data and 8 channels of EMG data. Due to the restrictions of the recording hardware discussed in the text, a modified recording scheme was used for the offline evaluation. Online evaluation: In this case, the two initial training sets were recorded using the Magma-Box-Setup. In the test/evaluation phase, a single run was recorded using the USB-Box-Setup. The physiological data was processed in real-time and the results recorded for subsequent analysis.

Journal: Sensors (Basel, Switzerland)

Article Title: A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction

doi: 10.3390/s17071552

Figure Lengend Snippet: Illustration of the online evaluation/offline cross validation scheme (see also ). In the preliminary offline study, three runs of data were recorded in total. The runs of the data were used as splits for the cross validation as follows. All combinations of runs in a session were used, resulting in three different training/evaluation combinations. Two recorded runs were used for training of the data dependent methods and the remaining run was used for the offline evaluation. In each run the data was recorded using the Magma-Box-Setup, i.e., it consisted of 4 × 32 = 128 channels of EEG data and 8 channels of EMG data. Due to the restrictions of the recording hardware discussed in the text, a modified recording scheme was used for the offline evaluation. Online evaluation: In this case, the two initial training sets were recorded using the Magma-Box-Setup. In the test/evaluation phase, a single run was recorded using the USB-Box-Setup. The physiological data was processed in real-time and the results recorded for subsequent analysis.

Article Snippet: EEG and EMG data were recorded at 5000 Hz with a 128 electrode (extended 10–20 system) actiCAP system using four 32 channel BrainAmp DC amplifiers (BrainProducts GmbH, Munich, Germany) for the EEG and a BrainAmp ExG MR bipolar EMG-System for the 8 EMG channels.

Techniques: Biomarker Discovery, Modification