Feature Extraction - X-ITE Pain Database [1]

Feature Extraction Config Example

Create a file named fe_config.json in the root directory of this repository, containing the follwing content:
x_ite_ed_bio_path - path to the bio signal data of the X-ITE Pain Database path_to_store_dataset - path where to store extracted featureset dataset_file_name - extension '.csv' will be added during the process
n_jobs - number of cores to use during parallel processing
parallel_backend - backend for python joblib module

{
  "x_ite_ed_bio_path": "/path/to/x-ite/dataset/Bio",
  "path_to_store_dataset": "/destination/to/extracted/dataset/",
  "dataset_file_name": "example_dataset_filename",
  "n_jobs": 32,
  "parallel_backend": "loky"
}

If you use this code or find it helpful, please be so kind and use this reference in your publication:

@inproceedings{DBLP:conf/annpr/RickenSBWS20,
  author    = {Tobias Ricken and
               Adrian Steinert and
               Peter Bellmann and
               Steffen Walter and
               Friedhelm Schwenker},
  editor    = {Frank{-}Peter Schilling and
               Thilo Stadelmann},
  title     = {Feature Extraction: {A} Time Window Analysis Based on the {X-ITE}
               Pain Database},
  booktitle = {Artificial Neural Networks in Pattern Recognition - 9th {IAPR} {TC3}
               Workshop, {ANNPR} 2020, Winterthur, Switzerland, September 2-4, 2020,
               Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {12294},
  pages     = {138--148},
  publisher = {Springer},
  year      = {2020},
  url       = {https://doi.org/10.1007/978-3-030-58309-5\_11},
  doi       = {10.1007/978-3-030-58309-5\_11},
  timestamp = {Sat, 19 Sep 2020 13:19:40 +0200},
  biburl    = {https://dblp.org/rec/conf/annpr/RickenSBWS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

References

[1] Gruss, S., Geiger, M., Werner, P., Wilhelm, O., Traue, H. C., Al-Hamadi, A., Walter, S. Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli. J. Vis. Exp. (146), e59057, doi:10.3791/59057 (2019).