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Pain is perceived differently by any person and may express itself diversely in facial expressions, paralinguistic and/or physiological signals. The design of this study is suitable to analyze pain responses in numerous ways with respect to the underlying aims. The obtained data may allow answering research questions, such as: Are there specific pain response patterns? Do they differ regarding pain model and duration?
A total of 134 subjects participated in our experiment. The sex ratio was 50/50. We divided them in the following age groups: 1) 18-29 years (N = 49, 23 men, 26 women), 2) 30-39 years (N = 45, 23 men, 22 women), 3) 40-50 years (N = 40, 21 men, 19 women). The average age of all subjects was 31.4 (SD = 9.7), of all men = 33.4 (SD = 9.3) and of all women = 32.9 (SD = 10.2) years. The study took place at the Department of Medical Psychology of the University of Ulm, Germany.
The main outcome of this protocol is a data set of audio, video and psychophysiological signals reflecting the subjects’ responses to pain stimuli. Table 1 provides a general overview on the technical features of the recorded signals and on the numbers of induced pain stimuli in the study.
| Technical Features |
| Signal: | Sampling Rate: | Attributes: |
| Audio | 44100 Hz | Mono, MP3 320 kbps |
| Camera 1 (face, frontal view) | 25 Hz | Color video: resolution 1384 x 1032,
HEVC encoded with libx265 (CRF 16, preset medium) |
| Camera 2 (face, side view) | 25 Hz | Color video: resolution 1620 x 840,
HEVC encoded with libx265 (CRF 16, preset medium) |
| Body Camera | ca. 30 Hz | Color video: resolution 1500 x 600,
HEVC encoded with libx265 (CRF 16, preset medium);
Depth video: resolution 500 x 200, lossless encoding |
| Thermal Camera | ca. 120.8 Hz | Surface temperature video: resolution 120 x 160,
grayscale MPEG-4-AVC encoded with libx264
(CRF 0, preset veryfast),
encoded temperature range 26.5-52.0 °C (steps of 0.1) |
| ECG | 1000 Hz | Hardware filtered via BioPac: 35 Hz LP, 0.5 Hz HP,
50 Hz notch filter |
| SCL | 1000 Hz | Hardware filtered via BioPac: 10 Hz LP, no HP,
no notch filter |
| EMG M. trapezius | 1000 Hz | Hardware filtered via BioPac: 500 Hz LP, 10 Hz HP,
no notch filter |
| EMG M. corrugator supercilii | 1000 Hz | Hardware filtered via BioPac: 500 Hz LP, 10 Hz HP,
no notch filter |
| EMG M. zygomaticus major | 1000 Hz | Hardware filtered via BioPac: 500 Hz LP, 10 Hz HP,
no notch filter |
| Stimuli | Thermal | Electrical |
| Subjects: | Phasic Stimuli (5 s): | Tonic Stimuli (60 s): | Phasic Stimuli (5 s): | Tonic Stimuli (60 s): |
| Per subject | 90 (30 per intensity) | 3 (1 per intensity) | 90 (30 per intensity) | 3 (1 per intensity) |
| All (N = 134) | 12060 (4020 per intensity) | 402 (134 per intensity) | 12060 (4020 per intensity) | 402 (134 per intensity) |
| Men (n = 67) | 6030 (2010 per intensity) | 201 (67 per intensity) | 6030 (2010 per intensity) | 201 (67 per intensity) |
| Women (n = 67) | 6030 (2010 per intensity) | 201 (67 per intensity) | 6030 (2010 per intensity) | 201 (67 per intensity) |
Table 1: Technical features and number of induced stimuli. The upper half (Technical Features) shows the sampling rates and attributes of the specific signals. The lower half (Stimuli) shows the numbers of the induced specific (thermal/electrical) pain stimuli for one subject, for all subjects and for each gender. (MP3 = Moving Picture Experts Group Layer-3 Audio, kbps = kilobits per second, HEVC = High Efficiency Video Coding, CRF = Constant Rate Factor, MPEG-4-AVC = Motion Picture Experts Group Layer-4 Video Advanced Video Coding, Hz = Hertz, °C = degrees Celsius, s = seconds, ECG = Electrocardiogram, SCL = Skin Conductance Level, EMG = Electromyography, LP = low-pass filter, HP = high-pass filter, M. = Musculus).
A secondary outcome concerning the calibration phase of the study is presented in Table 2. It shows the mean stimulation temperatures and currents of pain intensities 1 and 3 (as calculated in step 5.11 of the protocol) for all subjects and additionally for the male and female subgroup.
| Stimuli | Thermal [in °C] mean (SD) | Electrical [in mA] mean (SD) |
| Subjects | pH1 | pH3 | tH1 | tH3 | pE1 | pE3 | tE1 | tE3 |
| All (N = 134) | 44.03 (2.25) | 49.17 (1.20) | 42.50 (2.14) | 47.76 (1.02) | 1.63 (0.94) | 5.64 (2.72) | 1.69 (1.12) | 5.70 (2.59) |
| Men (n = 67) | 44.56 (2.18) | 49.48 (0.89) | 43.11 (1.98) | 47.93 (1.04) | 1.94 (1.01) | 6.83 (3.02) | 1.96 (1.16) | 6.90 (2.72) |
| Women (n = 67) | 43.51 (2.74) | 48.87 (1.39) | 41.89 (2.14) | 47.59 (0.98) | 1.32 (0.75) | 4.45 (1.70) | 1.43 (1.01) | 4.51 (1.80) |
Table 2: Mean stimulation temperatures and currents of pain intensities 1 and 3. (pH1, pH3 = phasic heat pain with intensity 1, 3; tH1, tH3 = tonic heat pain with intensity 1, 3; pE1, pE3 = phasic electrical pain with intensity 1, 3; tE1, tE3 = tonic electrical pain with intensity 1, 3; °C = degrees Celsius; mA = milliampere, SD = standard deviation).
If all steps of the protocol are conducted carefully and no technical problems occur (in terms of computer or recording device crashes, etc.), a successful outcome may look similar as depicted in Figure 4. All signals are of high quality and not affected by external sources of interferences. The participant is clearly visible in every camera.

Figure 4: Example data from a successful experiment. The figure depicts recorded signals a few seconds before, during and after an intense pain stimulus. All signals are non-filtered and synchronized in time. For clarity, only representative screenshots of the video signals are shown here. (EMG = Electromyography, SCL = Skin Conductance Level, ECG = Electrocardiogram, M. = Musculus, s = seconds). Please click here to view a larger version of this figure.
However, unexpected incidents may cause the data to become noisy or corrupted. Besides computer or recording device crashes, the coming-off of electrodes (especially reusable electrodes with small diameter which are attached by means of double-sided adhesive collars) mostly leads to unusable signals. As an example for a sub-optimal data set, Figure 5 shows the moment when an EMG electrode comes off and renders the corresponding signal useless.

Figure 5: Example data from a sub-optimal experiment. The red circle indicates the time one of the EMG electrodes (M. zygomaticus major) fell off the subject’s cheek. This might have been due to sweat or head movement. From this moment on, the signal was lost. (EMG = Electromyography, SCL = Skin Conductance Level, ECG = Electrocardiogram, M. = Musculus, s = seconds). Please click here to view a larger version of this figure.
Due to ethical guidelines, the maximum intensities of thermal and electrical stimuli had to be restricted. Regarding thermal calibration control part (see supplementary file), 37 subjects (31 men, 6 women) reached the given cutoff of 50.5 °C (ratio = 37/134 = 27.61 %). As for thermal calibration part 1, 60 participants (39 men, 21 women) reached the cutoff of 50.0 °C (ratio = 60/134 = 44.78 %) and concerning part 2, 57 persons (37 men, 20 women) reached the cutoff of 49.5 °C (ratio = 57/134 = 42.54 %). The cutoff for both electrical calibration parts was 25 mA. None of the 134 subjects reached it.
As we plan to publish the data (see next paragraph), the data sets of participants who have reached the cutoffs will additionally be marked and their subjective pain ratings for the corresponding cutoffs will be included.
We would like to point out that the main focus of the protocol is obtaining multi-modal signals for analyzing thermal and electrical pain. Therefore, no other results are discussed here. After checking and excluding data sets due to missing data or rejected written consent for data sharing, the data sets of this study will be made available under the name “X-ITE Pain Database”. For further information on when and how to obtain the X-ITE Pain DB please visit https://github.com/philippwerner/pain-database-list.
Supplementary File 1. Please click here to download this file.