| # MindBigData 2022 A Large Dataset of Brain Signals | |
| > Supporting datasets for paper [ arXiv:2212.14746](https://arxiv.org/abs/2212.14746) | |
| > There are 3 Main datasets with subdatasets: | |
| > | |
| **1.- MindBigData MNIST of Brain Digits** | |
| > based on http://mindbigdata.com/opendb/index.html | |
| > But all datasets splitted to 80% Train 20% Test (also proportional in the 11 classes) | |
| > EEG's Resampled to match original headsets sampling rate | |
| > Included headers. | |
| > and simplified to contain only label & EEG data as rows named in headers as ChannelName-SampleNum, ie for channel FP1 and MindWave will be FP1-0 FP1-1 ..... FP1-1023 since there are 1024 samples. | |
| > There are 4 subdatasets: | |
| > | |
| > For MindWave with 1 EEG Channel and 1024 samples x Channel | |
| > | |
| > For EPOC1 with 14 EEG Channels and 256 samples x Channel | |
| > | |
| > For Muse1 with 4 EEG Channels and 440 samples x Channel | |
| > | |
| > For Insight1 with 5 EEG Channels and 256 samples x Channel | |
| > | |
| **1.1.- MindBigData MNIST of Brain digits MindWave1** | |
| https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_MW | |
| > | |
| **1.2.- MindBigData MNIST of Brain digits EPOC1** | |
| https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP | |
| **1.3.- MindBigData MNIST of Brain digits Muse1** | |
| https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_MU | |
| **1.4.- MindBigData MNIST of Brain digits Insight1** | |
| https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_IN | |
| **2.- MindBigData Imagenet of the Brain** | |
| > based on http://mindbigdata.com/opendb/imagenet.html | |
| > But all datasets splitted to 80% Train 20% Test (also proportional in all the classes) | |
| > EEG's Resampled to match original headsets sampling rate | |
| > Included headers. | |
| > contains label as the ILSVRC2013 category, and a hotencoded name lists, the RGB pixel values of the image seen resampled to 150pixels by 150 pixels & EEG data as rows named in headers as ChannelName-SampleNum, | |
| > There are 2 subdatasets: | |
| > | |
| > One with the Insight 1 EEG signals at 384 samples per channel (5 channels) | |
| > | |
| > One with the Spectrogram image 64x64px instead of the EEG as described in the paper | |
| > | |
| **2.1.- MindBigData Imagenet of the Brain Insight1 EEG** | |
| https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_IN | |
| **2.2.- MindBigData Imagenet of the Brain Insight1 Spectrogram** | |
| https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_IN_Spct | |
| **3.- MindBigData Visual MNIST of Brain Digits** | |
| > based on http://mindbigdata.com/opendb/visualmnist.html | |
| > But all datasets splitted to 80% Train 20% Test (also proportional in the 11 classes) | |
| > Included headers. | |
| > and simplified to contain only label, the original MNIST pixels of the digit seen 28x28pixels & EEG data as rows named in headers as ChannelName-SampleNum, ie for channel TP9 and Muse2 will be TP9-0 TP9-1 ..... TP9-511 since there are 512 samples. | |
| > There are 3 subdatasets: | |
| > | |
| > For Muse2 with 5 EEG Channels, 3 PPG Channels, 3 ACC Channels & 3 GYR Channels and 512 samples x Channel | |
| > | |
| > For Cap64 with 64 EEG Channels and 400 samples x Channel | |
| > | |
| > For Cap64 with 64 EEG Channels and 400 samples x Channel but with Morlet png images as EEG outputs | |
| > | |
| **3.1.- MindBigData Visual MNIST of Brain digits Muse2** | |
| https://huggingface.co/datasets/DavidVivancos/MindBigData2022_VisMNIST_MU2 | |
| **3.2.- MindBigData Visual MNIST of Brain digits Cap64** | |
| https://huggingface.co/datasets/DavidVivancos/MindBigData2022_VisMNIST_Cap64 | |
| **3.3.- MindBigData Visual MNIST of Brain digits Cap64 Morlet** | |
| https://huggingface.co/datasets/DavidVivancos/MindBigData2022_VisMNIST_Cap64_Morlet | |