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A peer-reviewed article of this preprint also exists.
This version is not peer-reviewed
the evolution of ambulatory EEG units from the bulky, limited lifetime devices available today to small devices present only on the head that can record EEG for days, weeks, or months at a time.
Device | Producer | Electrodes | Price | Papers |
---|---|---|---|---|
B-Alert X-Series [164] | Advanced Brain Monitoring | up to 20 / W (gel) | ask to producer | [98] |
BrainMaster Discovery 24E* [165] | bio-medical | 24 / W, D (compatible) | 5800.00$ | [110] |
Cyton Biosensing Board* [166] | OpenBCI | 8 / W, D (compatible) | 999.00$ | [94,109,158] |
eego rt [167] | ANT Neuro | 8-64 / W, D | ask to producer | [168] |
Enobio 20 [169] | Neuroelectrics | 20 / W, D | ask to producer | [84,138] |
Enobio 8 [170] | Neuroelectrics | 8 / W, D | ask to producer | [89,93,144,158,160,161] |
EPOC+ [171] | Emotiv | 14 / W (saline) | discontinued | [91,106,111,117,122,123,125,128,129,131,132,135,152,163,172] |
EPOC Flex [173] | Emotiv | up to 32 / W (gel, saline) | 1699.00-2099.00$ | [118,162] |
EPOC X [174] | Emotiv | 14 / W (saline) | 849.00$ | [103] |
g.USBamp* with(out) g.MOBIlab [175] | g.tec medical engineering | 16 / W, D | starting from 11900.00€ | [83,100,116,121] |
Helmate [176] | abmedica | NA / NA | ask to producer | [107,153] |
Insight [177] | Emotiv | 5 / S | 499.00$ | [102] |
MindWave Mobile 2 [178] | Neurosky | 1 / NA | 109.99$ | [104,179] |
Muse headband 2 [180] | InteraXon | 4 / NA | 269.99€ | [105,108,127,137,140] |
g.Nautilus Multi-Purpose* [181] | g.tec medical engineering | 8-64 / W, D (compatible) | changing according to configuration, starting from 4990.00€ | [85,86,101,121,126,141,142,147,149,151] |
g.Nautilus PRO [182] | g.tec medical engineering | 8-32 / W, D | changing according to configuration, starting from 5500.00€ | [85,86,101,121,126,141,142,147,149,151] |
g.Nautilus RESEARCH [183] | g.tec medical engineering | 8-64 / W, D | changing according to configuration, starting from 4990.00€ | [85,86,101,121,126,141,142,147,149,151] |
NuAmps* [184] | NeuroScan | 32 / NA | ask to producer | [88] |
Quick-20 Dry EEG Headset [185] | Cognionics | 19 / D | ask to producer | [96,133] |
Starstim [186] | neuroelectrics | 8-32 / tES-EEG | ask to producer | [99,136] |
Synamps 2/RT* [187] | Neuroscan | 64 / NA | ask to producer | [114] |
The ultimate goal toward smart wearable sensing with edge computing capabilities relies on a bespoke platform embedding sensors, front-end circuit interface, neuromorphic processor and memristive devices.
1DMSCNN | One-dimensional multi-scale convolutional neural network |
AI | Artificial Intelligence |
ANN | Artificial Neural Network |
AUC | Area Under the Curve |
BCI | Brain Computer Interface |
CAR | Common Average Reference |
CNN | Convolutional Neural Network |
CSP | Common Spatial Pattern |
DBN | Deep Belief Network |
DL | Deep Learning |
ECG | Electrocardiogram |
ECoG | Electrocorticography |
EEG | Electroencephalography |
EMG | Electromyography |
EOG | Electrooculography |
ERD | Event-Related Desynchronization |
ERP | Event Related Potentials |
ErrP | Error Related Potential |
ERS | Event-Related Synchronization |
FFT | Fast Fourier Transform |
FGMDRM | Framework with filter Geodesic Minimum & Distance to Riemannian Mean |
FMRI | Functional Magnetic Resonance Imaging |
ICA | Independent Component Analysis |
KNN | K-Nearest Neighbor |
LDA | Linear Discriminant Analysis |
LPA | Left Pre-Auricolar point |
LR | Logistic Regression |
LSTM | Long-Short Term Memory |
MI | Motor Imagery |
ML | Machine Learning |
MLP | Multi-Layer Perceptron |
MSCNN | Multi-Scale Convolutional Neural Network |
NB | Naive Bayes |
NN | Neural Network |
PSD | Power Spectral Density |
PTFBCSP | Penalized Time-Frequency Band Common Spatial Patt |
n QDA | Quadratic Discriminant Analysis |
RF | Random forest |
RNN | Recurrent Neural Network |
RPA | Right Pre-Auricolar point |
RQ | Research Question |
SJGDA | Semisupervised Joint Mutual Information with Genera |
Discriminate Analysis SNR | Signal to Noise Ratio |
SSDT | Subject Specific Decision Tree |
SSVEP | Steady-State Visual Evoked Potential |
SVM | Support Vector Machine |
TES | Transcranial Electrical Stimulation |
VR | Virtual Reality |
XGBoost | Extreme Gradient Boosting |
1 | The montage is depicted in the official dataset description available at https://www.bbci.de/competition/iii/desc_IIIa.pdf
|
2 | More details on the official dataset description available at https://www.bbci.de/competition/iii/desc_IVa.html. |
3 |
Search engine | Author | Last consultation date |
---|---|---|
IEEE Xplore | F.G. | 2022/06/22 |
Mendeley | F.G. | 2022/06/22 |
PubMed | S.C. | 2022/06/22 |
ScienceOPEN | A.S. | 2022/06/21 |
Semantic Scholar | A.S. | 2022/06/21 |
Scopus | A.S. | 2022/06/22 |
Web of Science | S.C. | 2022/06/22 |
Google Scholar | M.C. & A.S. | 2022/06/20 |
Search engine | EEG & BCI | EEG & BCI & wearable | EEG & BCI & MI | EEG & BCI & wearable & MI |
---|---|---|---|---|
IEEE Xplore | 3584 | 121 | 546 | 13 |
Mendeley | 10723 | 286 | 3118 | 60 |
PubMed | 2777 | 57 | 877 | 14 |
ScienceOPEN | 2659 | 22 | 303 | 4 |
Semantic Scholar | 12200 | 1879 | 3630 | 259 |
Scopus | 10733 | 670 | 2909 | 74 |
Web of Science | 6564 | 180 | 2491 | 40 |
Rhythm | Frequency range (Hz) | Occurrence |
---|---|---|
≤ 4 | infants, deep sleep | |
4 - 8 | emotional stress, drowsiness | |
8 - 13 | relaxed awake state | |
8 - 13 | motor cortex functionalities | |
13 - 30 | alert state, active thinking/attention, anxiety | |
≥ 31 | intensive brain activity |
Dataset | Link | Device | Experimental paradigm |
---|---|---|---|
BCI Competition III dataset IIIa [192] | https://www.bbci.de/competition/iii/ | Neuroscan, 64 channel EEG amplifier (wired) | cue-based left/right hand, foot, tongue MI |
BCI Competition III dataset IVa [192] | https://www.bbci.de/competition/iii/ | BrainAmps and 128 channel ECI cap (wired) | cue-based left/right hand, right foot MI |
BCI Competition IV dataset 2a [193] | https://www.bbci.de/competition/iv/ | 22 electrodes (wired) | cue-based MI-BCI left/right hand, both feet, tongue MI |
BCI Competition IV dataset 2b [193] | https://www.bbci.de/competition/iv/ | 3 electrodes (wired) | cue-based MI-BCI left/right hand MI |
EEG Motor Movement/Imagery Dataset [42,194] | https://physionet.org/content/eegmmidb/1.0.0/ | 64 electrodes (wired) | cue-based motor execution/imagination left/right fist and both feet/fists opening/closing |
MI-OpenBCI [109] | https://github.com/vpeterson/MI-OpenBCI | OpenBCI Cyton and Daisy Module, Electrocap System II, 15 electrodes (wearable) | cue-based dominant hand grasping MI |
EEG BCI dataset [195] | https://figshare.com/collections/A_large_electroencephalographic_motor_imagery_dataset_for_electroencephalographic_brain_computer_interfaces/3917698 | EEG-1200 JE-921A EEG system, 19 electrodes (wired) | left/right hand, left/right leg, tongue and finger MI |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
supplementary.zip (206.93KB )
Submitted:
03 February 2023
Posted:
06 February 2023
You are already at the latest version
A peer-reviewed article of this preprint also exists.
supplementary.zip (206.93KB )
This version is not peer-reviewed
Submitted:
03 February 2023
Posted:
06 February 2023
You are already at the latest version
the evolution of ambulatory EEG units from the bulky, limited lifetime devices available today to small devices present only on the head that can record EEG for days, weeks, or months at a time.
Device | Producer | Electrodes | Price | Papers |
---|---|---|---|---|
B-Alert X-Series [164] | Advanced Brain Monitoring | up to 20 / W (gel) | ask to producer | [98] |
BrainMaster Discovery 24E* [165] | bio-medical | 24 / W, D (compatible) | 5800.00$ | [110] |
Cyton Biosensing Board* [166] | OpenBCI | 8 / W, D (compatible) | 999.00$ | [94,109,158] |
eego rt [167] | ANT Neuro | 8-64 / W, D | ask to producer | [168] |
Enobio 20 [169] | Neuroelectrics | 20 / W, D | ask to producer | [84,138] |
Enobio 8 [170] | Neuroelectrics | 8 / W, D | ask to producer | [89,93,144,158,160,161] |
EPOC+ [171] | Emotiv | 14 / W (saline) | discontinued | [91,106,111,117,122,123,125,128,129,131,132,135,152,163,172] |
EPOC Flex [173] | Emotiv | up to 32 / W (gel, saline) | 1699.00-2099.00$ | [118,162] |
EPOC X [174] | Emotiv | 14 / W (saline) | 849.00$ | [103] |
g.USBamp* with(out) g.MOBIlab [175] | g.tec medical engineering | 16 / W, D | starting from 11900.00€ | [83,100,116,121] |
Helmate [176] | abmedica | NA / NA | ask to producer | [107,153] |
Insight [177] | Emotiv | 5 / S | 499.00$ | [102] |
MindWave Mobile 2 [178] | Neurosky | 1 / NA | 109.99$ | [104,179] |
Muse headband 2 [180] | InteraXon | 4 / NA | 269.99€ | [105,108,127,137,140] |
g.Nautilus Multi-Purpose* [181] | g.tec medical engineering | 8-64 / W, D (compatible) | changing according to configuration, starting from 4990.00€ | [85,86,101,121,126,141,142,147,149,151] |
g.Nautilus PRO [182] | g.tec medical engineering | 8-32 / W, D | changing according to configuration, starting from 5500.00€ | [85,86,101,121,126,141,142,147,149,151] |
g.Nautilus RESEARCH [183] | g.tec medical engineering | 8-64 / W, D | changing according to configuration, starting from 4990.00€ | [85,86,101,121,126,141,142,147,149,151] |
NuAmps* [184] | NeuroScan | 32 / NA | ask to producer | [88] |
Quick-20 Dry EEG Headset [185] | Cognionics | 19 / D | ask to producer | [96,133] |
Starstim [186] | neuroelectrics | 8-32 / tES-EEG | ask to producer | [99,136] |
Synamps 2/RT* [187] | Neuroscan | 64 / NA | ask to producer | [114] |
The ultimate goal toward smart wearable sensing with edge computing capabilities relies on a bespoke platform embedding sensors, front-end circuit interface, neuromorphic processor and memristive devices.
1DMSCNN | One-dimensional multi-scale convolutional neural network |
AI | Artificial Intelligence |
ANN | Artificial Neural Network |
AUC | Area Under the Curve |
BCI | Brain Computer Interface |
CAR | Common Average Reference |
CNN | Convolutional Neural Network |
CSP | Common Spatial Pattern |
DBN | Deep Belief Network |
DL | Deep Learning |
ECG | Electrocardiogram |
ECoG | Electrocorticography |
EEG | Electroencephalography |
EMG | Electromyography |
EOG | Electrooculography |
ERD | Event-Related Desynchronization |
ERP | Event Related Potentials |
ErrP | Error Related Potential |
ERS | Event-Related Synchronization |
FFT | Fast Fourier Transform |
FGMDRM | Framework with filter Geodesic Minimum & Distance to Riemannian Mean |
FMRI | Functional Magnetic Resonance Imaging |
ICA | Independent Component Analysis |
KNN | K-Nearest Neighbor |
LDA | Linear Discriminant Analysis |
LPA | Left Pre-Auricolar point |
LR | Logistic Regression |
LSTM | Long-Short Term Memory |
MI | Motor Imagery |
ML | Machine Learning |
MLP | Multi-Layer Perceptron |
MSCNN | Multi-Scale Convolutional Neural Network |
NB | Naive Bayes |
NN | Neural Network |
PSD | Power Spectral Density |
PTFBCSP | Penalized Time-Frequency Band Common Spatial Patt |
n QDA | Quadratic Discriminant Analysis |
RF | Random forest |
RNN | Recurrent Neural Network |
RPA | Right Pre-Auricolar point |
RQ | Research Question |
SJGDA | Semisupervised Joint Mutual Information with Genera |
Discriminate Analysis SNR | Signal to Noise Ratio |
SSDT | Subject Specific Decision Tree |
SSVEP | Steady-State Visual Evoked Potential |
SVM | Support Vector Machine |
TES | Transcranial Electrical Stimulation |
VR | Virtual Reality |
XGBoost | Extreme Gradient Boosting |
1 | The montage is depicted in the official dataset description available at https://www.bbci.de/competition/iii/desc_IIIa.pdf
|
2 | More details on the official dataset description available at https://www.bbci.de/competition/iii/desc_IVa.html. |
3 |
Search engine | Author | Last consultation date |
---|---|---|
IEEE Xplore | F.G. | 2022/06/22 |
Mendeley | F.G. | 2022/06/22 |
PubMed | S.C. | 2022/06/22 |
ScienceOPEN | A.S. | 2022/06/21 |
Semantic Scholar | A.S. | 2022/06/21 |
Scopus | A.S. | 2022/06/22 |
Web of Science | S.C. | 2022/06/22 |
Google Scholar | M.C. & A.S. | 2022/06/20 |
Search engine | EEG & BCI | EEG & BCI & wearable | EEG & BCI & MI | EEG & BCI & wearable & MI |
---|---|---|---|---|
IEEE Xplore | 3584 | 121 | 546 | 13 |
Mendeley | 10723 | 286 | 3118 | 60 |
PubMed | 2777 | 57 | 877 | 14 |
ScienceOPEN | 2659 | 22 | 303 | 4 |
Semantic Scholar | 12200 | 1879 | 3630 | 259 |
Scopus | 10733 | 670 | 2909 | 74 |
Web of Science | 6564 | 180 | 2491 | 40 |
Rhythm | Frequency range (Hz) | Occurrence |
---|---|---|
≤ 4 | infants, deep sleep | |
4 - 8 | emotional stress, drowsiness | |
8 - 13 | relaxed awake state | |
8 - 13 | motor cortex functionalities | |
13 - 30 | alert state, active thinking/attention, anxiety | |
≥ 31 | intensive brain activity |
Dataset | Link | Device | Experimental paradigm |
---|---|---|---|
BCI Competition III dataset IIIa [192] | https://www.bbci.de/competition/iii/ | Neuroscan, 64 channel EEG amplifier (wired) | cue-based left/right hand, foot, tongue MI |
BCI Competition III dataset IVa [192] | https://www.bbci.de/competition/iii/ | BrainAmps and 128 channel ECI cap (wired) | cue-based left/right hand, right foot MI |
BCI Competition IV dataset 2a [193] | https://www.bbci.de/competition/iv/ | 22 electrodes (wired) | cue-based MI-BCI left/right hand, both feet, tongue MI |
BCI Competition IV dataset 2b [193] | https://www.bbci.de/competition/iv/ | 3 electrodes (wired) | cue-based MI-BCI left/right hand MI |
EEG Motor Movement/Imagery Dataset [42,194] | https://physionet.org/content/eegmmidb/1.0.0/ | 64 electrodes (wired) | cue-based motor execution/imagination left/right fist and both feet/fists opening/closing |
MI-OpenBCI [109] | https://github.com/vpeterson/MI-OpenBCI | OpenBCI Cyton and Daisy Module, Electrocap System II, 15 electrodes (wearable) | cue-based dominant hand grasping MI |
EEG BCI dataset [195] | https://figshare.com/collections/A_large_electroencephalographic_motor_imagery_dataset_for_electroencephalographic_brain_computer_interfaces/3917698 | EEG-1200 JE-921A EEG system, 19 electrodes (wired) | left/right hand, left/right leg, tongue and finger MI |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
Arnau Dillen
et al.
Applied Sciences,
2023
Jaeyoung Shin
et al.
Sensors,
2018
Miguel Sánchez-Cifo
et al.
Applied Sciences,
2021
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