other:Article Title: Protocol for recording physiological signals from the human cerebellum using electroencephalography
Article Snippet: EOG electrodes , Brain Products GmbH, Gilching, Germany , N/A.
Article Title: Estimating cognitive workload using a commercial in-ear EEG headset.
Article Snippet: Objective: This study investigated the potential of estimating various mental workload levels during two different tasks using a commercial in-ear electroencephalography (EEG) system, the IDUN “Guardian”.. Approach: Participants performed versions of two classical workload tasks: an n-back task and a mental arithmetic task.. Both in-ear and conventional EEG data were simultaneously collected during these tasks.
Article Title: Relationship between eye movements and freezing of gait during turning in individuals with Parkinson’s disease
Article Snippet: Four electrooculography electrodes (active electrodes from actiCAP, Brain Products GmbH) were aligned with the center of pupils in the vertical and horizontal planes when the participants looked straight ahead.
Article Title: A two for one special: EEG hyperscanning using a single-person EEG recording setup
Article Snippet: • 64-electrode silver-silver chloride coated active ActiCap active electrodes (Brain Products, Gilching, Germany), provided as two bundles of 32 electrodes each • 4 silver-silver chloride disc electrodes (for electrooculogram — EOG — monitoring) • Electrolyte gel compatible with the EEG system (e.g., Brain Products’ SuperVisc) • Exfoliating skin prep gel (e.g., Nuprep; Weaver and Company, Aurora, USA) • Double-sided circular medical adhesives for electrodes • Plastic electrode washers • Brain Products ActiCHamp 64 channel EEG amplifier (Brain Products) • StimTrak device (Brain Products) • ActiCap ground distributor and two ground electrodes (Brain Products) • 2 BIP2AUX adapters (Brain Products) • PyCorder recording software (Brain Products) • Computer running Windows operating system, for recording EEG • Computer for data analysis, with the following software installed: o Praat version 6.1.42 [6] o Python version 3.6 or higher o MNE-Python package and associated dependencies (see https://mne.tools/) [7]
Article Title: Electrophysiological correlates of hyperoxia during resting-state EEG in awake human subjects.
Article Snippet: We additionally had two pairs of bipolar vertical and horizontal electro‐oculogram (EOG) electrodes placed around the eyes (same amplifier settings), and a respiration belt transducer and a finger pulse oximeter to measure respiration and heart rate (arbitrary units, DC recording), all synchronized with the EEG data using a BrainAmp ExG auxillary and bipolar amplifier (Brain Products).
In Vivo:Article Title: A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality
Article Snippet: .. Many approaches work with the idea to use a virtual environment to let people escape from their current situation and immerse Hu et al. (2018) Anxiety EEG - Cap with 30 scalp electrodes (Neuroscan) 60 Standing on the ground, standing on a plank CNN 4 88.77% (10- fold cv) EOG - 2 scalp electrodes (Neuroscan) Kaur et al. (2019) Anxiety EEG - Cap with 58 electrodes (Brain Products) 10 Body leaning task on elevated ground kNN 2 0.85 (F1) (5- fold cv) EOG - 6 scalp electrodes (Brain Products) Wang et al. (2018) Anxiety EEG - Cap with 30 Ag/AgCl electrodes (Neuroscan) 76 Standing on the ground, standing on a plank in high altitude SVM 3 96.20% (5- fold cv) EOG - 4 Ag/AgCl scalp electrodes (Neuroscan) Wang Y. et al. (2019) Visual fatigue ET - Integrated camera (7invensun) 105 Watching VR videos SVM 2 90.79% (cv) 3 79.47% (cv) 4 74.25% (cv) Robitaille and McGuffin (2019) Stress ECG - Chest band (Polar) 12 Hitting moving targets in a calm or uncanny environment DT 2 81.10% (10× 2 cv)Motion - Hand controllers and Motion Trackers Tremmel (2020) Cognitive Workload EEG - Cap with 8 wet electrodes (Ladybird) 15 N-back task with colored balls ANN 3 84.30% (5- fold cv) Motion - VR headset and controller Mavridou et al. (2018a) Valence EMG - 8 electrodes integrated in HMD (emteq) 34 Affective video content SVM 3 82.50% (loocv) Balan et al. (2019) Anxiety EEG - Cap with 16 dry electrodes (Brain Products) 4 Virtual and in vivo exposure to different heights DNN 2 72.90% (test-set) PPG - Finger photo diode (Shimmer) 4 41.89% (test-set)EDA - Finger electrodes (Shimmer) MLPN, Multilayer Percpetron Network; SVM, Support Vector Machine; DNN, Deep Neural Network; kNN, k-nearest Neighbor; K-ELM, Kernel-Based Extreme Learning Machine; LDA, Linear Discriminant Analysis; RF, Random Forest; GB, Gradient Boost; SOM, Self-Organizing Map; CNN, Convolutional Neural Network; LSTM, Long Short-Term Memory; DT, Decision Tree; ANN, Artificial Neural Network; cv, cross validation; loocv, leave-one-out cross validation. ..
Biomarker Discovery:Article Title: A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality
Article Snippet: .. Many approaches work with the idea to use a virtual environment to let people escape from their current situation and immerse Hu et al. (2018) Anxiety EEG - Cap with 30 scalp electrodes (Neuroscan) 60 Standing on the ground, standing on a plank CNN 4 88.77% (10- fold cv) EOG - 2 scalp electrodes (Neuroscan) Kaur et al. (2019) Anxiety EEG - Cap with 58 electrodes (Brain Products) 10 Body leaning task on elevated ground kNN 2 0.85 (F1) (5- fold cv) EOG - 6 scalp electrodes (Brain Products) Wang et al. (2018) Anxiety EEG - Cap with 30 Ag/AgCl electrodes (Neuroscan) 76 Standing on the ground, standing on a plank in high altitude SVM 3 96.20% (5- fold cv) EOG - 4 Ag/AgCl scalp electrodes (Neuroscan) Wang Y. et al. (2019) Visual fatigue ET - Integrated camera (7invensun) 105 Watching VR videos SVM 2 90.79% (cv) 3 79.47% (cv) 4 74.25% (cv) Robitaille and McGuffin (2019) Stress ECG - Chest band (Polar) 12 Hitting moving targets in a calm or uncanny environment DT 2 81.10% (10× 2 cv)Motion - Hand controllers and Motion Trackers Tremmel (2020) Cognitive Workload EEG - Cap with 8 wet electrodes (Ladybird) 15 N-back task with colored balls ANN 3 84.30% (5- fold cv) Motion - VR headset and controller Mavridou et al. (2018a) Valence EMG - 8 electrodes integrated in HMD (emteq) 34 Affective video content SVM 3 82.50% (loocv) Balan et al. (2019) Anxiety EEG - Cap with 16 dry electrodes (Brain Products) 4 Virtual and in vivo exposure to different heights DNN 2 72.90% (test-set) PPG - Finger photo diode (Shimmer) 4 41.89% (test-set)EDA - Finger electrodes (Shimmer) MLPN, Multilayer Percpetron Network; SVM, Support Vector Machine; DNN, Deep Neural Network; kNN, k-nearest Neighbor; K-ELM, Kernel-Based Extreme Learning Machine; LDA, Linear Discriminant Analysis; RF, Random Forest; GB, Gradient Boost; SOM, Self-Organizing Map; CNN, Convolutional Neural Network; LSTM, Long Short-Term Memory; DT, Decision Tree; ANN, Artificial Neural Network; cv, cross validation; loocv, leave-one-out cross validation. ..
|
brain products gmbh manufactures this product 