List of extracted biopotential pain features

Reference: Steffen Walter, Philipp Werner, Sascha Gruss, Harald C. Traue, Ayoub Al-Hamadi, et al.: The BioVid Heat Pain Database: Data for the Advancement and Systematic Validation of an Automated Pain Recognition System. In Proceedings of IEEE International Conference on Cybernetics, 2013. Pain stimulation data: Extracted features of biomedical signals (SCL, ECG, EMG at trapezius, corrugator and zygomaticus muscle); 85 subjects; features extracted of time windows of 5.5 seconds; used to classify pain intensities; 5 classes (pain intensity 0 to pain intensity 4), 20 samples per class per subject.