40 lines
1.2 KiB
Markdown
40 lines
1.2 KiB
Markdown
eda-explorer
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============
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Scripts to detect artifacts and in electrodermal activity (EDA) data. Note that these scripts are written for Python 2.7 and Python 3.7
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Version 1.0
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Please also cite this project:
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Taylor, S., Jaques, N., Chen, W., Fedor, S., Sano, A., & Picard, R. Automatic identification of artifacts in electrodermal activity data. In Engineering in Medicine and Biology Conference. 2015.
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Required python packages can be found in requirements.txt
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To run artifact detection from the command line:
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==
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python EDA-Artifact-Detection-Script.py
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Currently there are only 2 classifiers to choose from: Binary or Multiclass
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To run peak detection:
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==
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python EDA-Peak-Detection-Script.py
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Descriptions of the algorithm settings can be found at http://eda-explorer.media.mit.edu/info/
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To run accelerometer feature extraction:
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==
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python AccelerometerFeatureExtractionScript.py
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This file works slightly differently than the others in that it gives summary information over periods of time.
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Notes:
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===
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1. Currently, these files are written with the assumption that the sample rate is an integer power of 2.
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2. Please visit [eda-explorer.media.mit.edu](https://eda-explorer.media.mit.edu)
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to use the web-based version
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