MindBigData
The
"MNIST" of Brain
Digits
Four
files are available for download:
DataBase | File | Zip size | File size | Date | Mirror |
MindWave | MindBigData-MW-v1.0.zip | 62,6 MB (65,663,303 bytes) | 297 MB (311,994,495 bytes) | 09/11/2015 | |
EPOC** | MindBigData-EP-v1.0.zip | 408 MB (427.958.689 bytes) | 2,66 GB (2.859.712.035 bytes) | 06/16/2018 | US DataHub Mirror |
Muse | MindBigData-MU-v1.0.zip | 62,6 MB (65,663,303 bytes) | 297 MB (311,994,495 bytes) | 09/11/2015 | |
Insight* | MindBigData-IN-v1.06.zip | 25,3 MB (26,610,979 bytes) | 184 MB (193,010,330 bytes) | 12/10/2019 |
Feel free to test any machine learning, deep learning or whatever algorithm you think it could fit, we only ask for acknowledging the source and please let us know of your performance!
SIGNAL
DISTRIBUTION:
This is the distribution of the signals per device and digit:
Device/Digit | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | -1 | Total |
MindWave (MW) | 5,531 | 5,498 | 5,517 | 5,416 | 5,381 | 5,568 | 5,476 | 5,552 | 5,545 | 5,450 | 12,701 | 67,635 |
EPOC (EP) | 91,224 | 88,914 | 90,930 | 92,652 | 88,886 | 91,994 | 91,322 | 88,718 | 91,728 | 91,882 | 2,226 | 910,476 |
Muse (MU) | 11,904 | 11,632 | 11,920 | 11,832 | 11,536 | 12,052 | 12,368 | 12,080 | 12,208 | 11,988 | 44,412 | 163,932 |
Insight (IN)* | 6,305 | 6,740 | 6,535 | 6,605 | 6,620 | 6,460 | 6,425 | 6,470 | 6,590 | 6,500 | 0 | 65,250 |
Total | 114,964 | 112,784 | 114,902 | 116,505 | 112,423 | 116,074 | 115,591 | 112,820 | 116,071 | 115,820 | 59,339 | 1,207,293 |
* Insight captures started in September 2015, dataset updated to fix the channel sepparation by comma and use dot for the decimals, instead of commas only , last update 10/12/2019 v1.06
** EPOC dataset updated to fix the channel sepparation by comma and use dot for the decimals, instead of commas only , last update 06/16/2018 v1.01
FILE FORMAT:
The
data is stored in a very simple text format including:
[id]:
a numeric, only for
reference purposes.
[event] id,
a
integer, used to distinguish the same event captured at different brain
locations, used only by
multichannel devices (all except MW).
[device]: a 2 character string, to identify the device used to capture the signals, "MW" for MindWave, "EP" for Emotive Epoc, "MU" for Interaxon Muse & "IN" for Emotiv Insight.
[channel]:
a
string, to indentify the 10/20 brain location of the signal, with possible
values:
MindWave
"FP1"
EPOC
"AF3, "F7", "F3", "FC5", "T7", "P7", "O1",
"O2", "P8", "T8", "FC6", "F4", "F8", "AF4"
Muse
"TP9,"FP1","FP2", "TP10"
Insight
"AF3,"AF4","T7","T8","PZ"
[code]:
a
integer, to indentify the digit been thought/seen, with possible values
0,1,2,3,4,5,6,7,8,9 or -1 for random captured signals not related to any of the
digits.
[size]:
a
integer, to identify the size in number of values captured in the 2 seconds of
this signal, since the Hz of each device varies, in "theory" the value is close
to 512Hz for MW, 128Hz for EP, 220Hz for MU & 128Hz for IN, for each of the 2
seconds.
[data]:
a
coma separated set of numbers, with the time-series amplitude of the signal, each
device uses a different precision to identify the electrical
potential captured from the brain: integers in the case of MW & MU or
real numbers in the case of EP & IN.
There is no headers in the files, every line is a signal, and the fields are separated by a tab
For example one line of each device could be (without the headers)
[id] | [event] | [device] | [channel] | [code] | [size] | [data] |
27 | 27 | MW | FP1 | 5 | 952 | 18,12,13,12,5,3,11,23,37,36,26,24,35,42…… |
67650 | 67636 | EP | F7 | 7 | 260 | 4482.564102,4477.435897,4484.102564……. |
978210 | 132693 | MU | TP10 | 1 | 476 | 506,508,509,501,497,494,497,490,490,493…… |
1142043 | 173652 | IN | AF3 | 0 | 256 | 4259.487179,4237.948717,4247.179487,4242.051282…… |
BRAIN LOCATIONS:
Each EEG device capture the signals via different sensors, located in these areas of my brain, the color represents the device: MindWave, EPOC, Muse, Insight
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Contact us if you need any more info.
July
8th 2024
David
Vivancos
vivancos@vivancos.com
This MindBigData The "MNIST" of Brain Digits is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/