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A Dataset for Evaluating and Validating Blood Perfusion Monitoring During an Occlusion Protocol: Multi-spectral and Plethysmography data

The dataset contains multispectral images and PPG data from 45 subjects who underwent an occlusion protocol  to induce changes in blood perfusion in the dominant hand. All the partipiants signed an informed consent. Blood perfusion Blood perfusion refers to the passage of oxygen and other nutrients through the circulatory system. We look to provide data for the evaluation of non-invasive approaches based on multi-spectral images. PPG reference data from the thumb is provided for validation purposes. Occlusion Protocol The occlusion protocol for each participant lasts around 10 minutes. The participants were seated, and their superior limbs were extended on a table.  An automatic blood pressure monitor measured their systolic and diastolic pressures. A blood cuff was placed in their dominant arm, and a PPG sensor MAX30102 (Maxim Integrated, CA, United States) was placed in their thumb finger.  A multispectral camera was positioned above to record the hand palm throughout the protocol. The camera employed is a CMS-V1-C-EVR1M-USB3 (SILIOS Technologies SA., France), which records 9 multispectral channels in the VNIR region of the spectrum. . The protocol is divided into 5 stages, each one lasts 2 minutes. <ol> <li>Start: No pressure is applied</li> <li>Vascular Occlusion: a fixed pressure of 60 mmHg is applied through the blood cuff</li> <li>Rest: The pressure is liberated</li> <li>Total Occlusion:  A pressure equal to the initial systolic pressure plus 20 mmHg is constantly applied.</li> <li>Hyperemia: The pressure is released.</li> </ol> Data available: The multispectral datasets for each subject are contained in a P#.7z file. Single-channel images are included. The name of each file specifies the participant ID, the time (minutes_seconds_milliseconds) of the acquisition with respect to the start of the occlusion protocol, the multispectral dataset, and the corresponding multispectral channel. Example: the following file name specifies a file for participant number 21. The data was captured at 9 minutes and 59.5290 seconds after the start of the occlusion protocol. The image corresponds to the first channel (the count starts at 0). P21_09_59_5290_d02459_channel0.png Files containing masks for each dataset are available for the whole hand region (hand_masks.7z) and the middle finger (finger_masks.7z). Finger masks for participants with a lot of movement are not available. The PPG data is stored in a simple csv file with txt extension for each participant. It contains the Red and Infrared channel data as well as the acquisition time of each sample. The PPG data for all the participants are contained in the compressed file PPG.7z. Reference multispectral images for calibration are also provided in the file Calibration.7z. This file contains multispectral images with the cap on (Dark_Reference) plus three folders with reference images taken during the same session as the participants.  reference_set_A:  = P1 to P10 reference_set_B:  = P11 to P30 reference_set_C:  = P31 to P45 each folder contains multispectral images of different white reference materials which can be employed for different calibration methods:  WhiteA = white tile  WhiteB = white reference bar  WhiteP = sheet of white paper WhiteT = Teflon (PTFE) sheets The participant’s data is summarized in the next table. <table> <tbody> <tr> <td> ID </td> <td> Age </td> <td> Gender </td> <td> Skin type </td> <td> Systolic Pressure </td> <td> # Multi-spectral Datasets </td> </tr> <tr> <td> P1 </td> <td> 20 </td> <td> M </td> <td> 4 </td> <td> 109 </td> <td> 2,456 </td> </tr> <tr> <td> P2 </td> <td> 20 </td> <td> M </td> <td> 3 </td> <td> 129 </td> <td> 2,458 </td> </tr> <tr> <td> P3 </td> <td> 22 </td> <td> M </td> <td> 4 </td> <td> 117 </td> <td> 2,460 </td> </tr> <tr> <td> P4 </td> <td> 19 </td> <td> F </td> <td> 3 </td> <td> 110 </td> <td> 2,454 </td> </tr> <tr> <td> P5 </td> <td> 18 </td> <td> F </td> <td> 4 </td> <td> 106 </td> <td> 2,458 </td> </tr> <tr> <td> P6 </td> <td> 18 </td> <td> F </td> <td> 4 </td> <td> 111 </td> <td> 2,471 </td> </tr> <tr> <td> P7 </td> <td> 18 </td> <td> F </td> <td> 4 </td> <td> 91 </td> <td> 2,462 </td> </tr> <tr> <td> P8 </td> <td> 18 </td> <td> F </td> <td> 4 </td> <td> 102 </td> <td> 2,474 </td> </tr> <tr> <td> P9 </td> <td> 21 </td> <td> M </td> <td> 3 </td> <td> 113 </td> <td> 2,468 </td> </tr> <tr> <td> P10 </td> <td> 19 </td> <td> F </td> <td> 3 </td> <td> 108 </td> <td> 2,461 </td> </tr> <tr> <td> P11 </td> <td> 18 </td> <td> M </td> <td> 4 </td> <td> 137 </td> <td> 2,461 </td> </tr> <tr> <td> P12 </td> <td> 18 </td> <td> F </td> <td> 3 </td> <td> 132 </td> <td> 2,457 </td> </tr> <tr> <td> P13 </td> <td> 18 </td> <td> M </td> <td> 4 </td> <td> 119 </td> <td> 2,461 </td> </tr> <tr> <td> P14 </td> <td> 18 </td> <td> F </td> <td> 4 </td> <td> 100 </td> <td> 2,460 </td> </tr> <tr> <td> P15 </td> <td> 18 </td> <td> F </td> <td> 3 </td> <td> 104 </td> <td> 2,460 </td> </tr> <tr> <td> P16 </td> <td> 18 </td> <td> M </td> <td> 3 </td> <td> 126 </td> <td> 2,462 </td> </tr> <tr> <td> P17* </td> <td> 18 </td> <td> F </td> <td> 3 </td> <td> 105 </td> <td> 2,469 </td> </tr> <tr> <td> P18 </td> <td> 21 </td> <td> F </td> <td> 4 </td> <td> 122 </td> <td> 2,461 </td> </tr> <tr> <td> P19 </td> <td> 21 </td> <td> F </td> <td> 3 </td> <td> 130 </td> <td> 2,462 </td> </tr> <tr> <td> P20 </td> <td> 21 </td> <td> F </td> <td> 3 </td> <td> 106 </td> <td> 2,457 </td> </tr> <tr> <td> P21 </td> <td> 23 </td> <td> M </td> <td> 3 </td> <td> 133 </td> <td> 2,459 </td> </tr> <tr> <td> P22 </td> <td> 23 </td> <td> M </td> <td> 3 </td> <td> 134 </td> <td> 2,471 </td> </tr> <tr> <td> P23 </td> <td> 21 </td> <td> F </td> <td> 3 </td> <td> 115 </td> <td> 2,472 </td> </tr> <tr> <td> P24 </td> <td> 21 </td> <td> M </td> <td> 3 </td> <td> 111 </td> <td> 2,445 </td> </tr> <tr> <td> P25 </td> <td> 21 </td> <td> M </td> <td> 3 </td> <td> 116 </td> <td> 2,460 </td> </tr> <tr> <td> P26 </td> <td> 21 </td> <td> M </td> <td> 4 </td> <td> 107 </td> <td> 2,462 </td> </tr> <tr> <td> P27 </td> <td> 21 </td> <td> F </td> <td> 4 </td> <td> 106 </td> <td> 2,460 </td> </tr> <tr> <td> P28 </td> <td> 24 </td> <td> F </td> <td> 4 </td> <td> 106 </td> <td> 2,460 </td> </tr> <tr> <td> P29 </td> <td> 22 </td> <td> M </td> <td> 4 </td> <td> 125 </td> <td> 2,460 </td> </tr> <tr> <td> P30 </td> <td> 21 </td> <td> M </td> <td> 4 </td> <td> 125 </td> <td> 2,461 </td> </tr> <tr> <td> P31 </td> <td> 21 </td> <td> F </td> <td> 3 </td> <td> 100 </td> <td> 2,472 </td> </tr> <tr> <td> P32 </td> <td> 22 </td> <td> M </td> <td> 3 </td> <td> 120 </td> <td> 2,460 </td> </tr> <tr> <td> P33 </td> <td> 21 </td> <td> M </td> <td> 4 </td> <td> 127 </td> <td> 2,461 </td> </tr> <tr> <td> P34 </td> <td> 19 </td> <td> F </td> <td> 3 </td> <td> 100 </td> <td> 2,457 </td> </tr> <tr> <td> P35 </td> <td> 19 </td> <td> F </td> <td> 3 </td> <td> 108 </td> <td> 2,460 </td> </tr> <tr> <td> P36 </td> <td> 20 </td> <td> F </td> <td> 3 </td> <td> 136 </td> <td> 2,471 </td> </tr> <tr> <td> P37 </td> <td> 19 </td> <td> M </td> <td> 4 </td> <td> 129 </td> <td> 2,457 </td> </tr> <tr> <td> P38* </td> <td> 19 </td> <td> M </td> <td> 3 </td> <td> 128 </td> <td> 2,463 </td> </tr> <tr> <td> P39* </td> <td> 18 </td> <td> M </td> <td> 3 </td> <td> 111 </td> <td> 2,479 </td> </tr> <tr> <td> P40 </td> <td> 23 </td> <td> M </td> <td> 4 </td> <td> 110 </td> <td> 2,462 </td> </tr> <tr> <td> P41 </td> <td> 21 </td> <td> M </td> <td> 3 </td> <td> 130 </td> <td> 2,465 </td> </tr> <tr> <td> P42 </td> <td> 20 </td> <td> F </td> <td> 3 </td> <td> 126 </td> <td> 2,461 </td> </tr> <tr> <td> P43 </td> <td> 22 </td> <td> F </td> <td> 3 </td> <td> 125 </td> <td> 2,459 </td> </tr> <tr> <td> P44 </td> <td> 22 </td> <td> M </td> <td> 3 </td> <td> 138 </td> <td> 2,467 </td> </tr> <tr> <td> P45 </td> <td> 22 </td> <td> M </td> <td> 4 </td> <td> 104 </td> <td> 2,461 </td> </tr> </tbody> </table> Table 1.- Participant's ID and relevant information.Participants with an * presented a lot of movement during the recording.

ShareScore

16/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship: 8
Harmonization: 4
Access: 0
Reuse readiness: 0
Engagement: 4

Topics

tissue perfusion monitoring multispectral image processing functional monitoring and imaging tissue oxygenation microcirculation