PhyAAt
홈페이지 · 논문 4편
The dataset contains a collection of physiological signals (EEG, GSR, PPG) obtained from an experiment of the auditory attention on natural speech. Ethical Approval was acquired for the experiment. Details of the experiment can be found here https://phyaat.github.io/experiment
### Dataset
The dataset contain three physiological signals recorded at sampling rate of 128Hz from 25 healthy subjects during the experiment. Electroenceplogram (EEG) signal is recorded using a 14-channel Emotiv Epoc device. Two signal streams of Galvanic Skin Response (GSR) were recorded, instantaneous sample and moving averaged signal. From photoplethysmogram (PPG) sensor (pulse sensor), a raw signal, inter-beat interval (IBI), and pulse rate were recorded. All the signals were properly labeled.
- EEG Channels: 'AF3', 'F7', 'F3', 'FC5', 'T7', 'P7', 'O1', 'O2', 'P8', 'T8', 'FC6', 'F4', 'F8', 'AF4'
- GSR Signal: Instantaneous and moving averaged signal streams
- PPG: PPG (ECG like signal), IBI (Inter Beat Interval ) and BPM (Beats per minute)
### Download the dataset
#### Using Python
To download the dataset, install phyaat library and download through it.
*pip install phyaat*
``
import phyaat as ph
#to download dataset of subject 1 in given path 'dirpath
dirPath = ph.download_data(baseDir='../PhyAAt_Data', subject=1,verbose=0,overwrite=False)
#to download dataset of all the subjects
dirPath = ph.download_data(baseDir='../PhyAAt_Data', subject=-1,verbose=0,overwrite=False)
``
#### Manually
If you are using other programming framework such as matlab or R, Download dataset manually from
Github repository
and extract all the csv files.
For more details on downloading and using dataset, check here: Getting Started
### Helper Scripts
There are starter scripts and benchmark code to start building models. They are available here - https://phyaat.github.io/modeling/