Database Open Access

Video Pulse Signals in Stationary and Motion Conditions

Published: July 12, 2017. Version: 1.0.0


When using this resource, please cite the original publication:

A. Melchor Rodríguez and J. Ramos Castro, Pulse rate variability analysis by video using face detection and tracking algorithms, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, pp. 5696-5699. doi: 10.1109/EMBC.2015.7319685

Please include the standard citation for PhysioNet:

Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals (2003). Circulation. 101(23):e215-e220.

Data Collection

The data set contains 40 pulse signal recordings obtained from 15 healthy volunteers (12 men and 3 women between 23 and 35 years). For each subject, there is a simultaneous face video recording, and a finger pulse recording reference system, in a sitting position. The video pulse signals were obtained from videos recorded by two camera models at 15 and 60 frames per second, which were then further processed. The reference finger pulse sensor had a sampling frequency of 1 kHz. There is a time offset between the reference and video signals, commented in the WFDB header files.

As part of the study, only 5 subjects were recorded by both cameras. Two recordings of about 1 min were acquired for each subject in stationary and motion conditions. 50s of the recordings were performed in order to analyze the same record length in all subjects.

Files

The record name is formed as subj_x_y_z_s where:

  • x: number of subject
  • y: condition of the recording (s = stationary; m = motion)
  • z: camera (c1 = camera 1 (Logitech model); c2 = camera 2 (GoPro model))
  • s: the signal (vid = video pulse; ref = reference finger pulse)

Contributors

A. Melchor Rodríguez (angel.melchor at upc.edu) and J. Ramos-Castro (juan.jose.ramos at upc.edu)


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Access

Access Policy:
Anyone can access the files, as long as they conform to the terms of the specified license.

License (for files):
Open Data Commons Attribution License v1.0

Discovery

DOI:
10.13026/C28D5M

Topics:
video pulse

Corresponding Author
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Files

Total uncompressed size: 5.5 MB.Download Zip (5.5 MB)

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Folder Navigation: <base>
Name Size Modified
README.docx 19.8 KB 2017-07-12
RECORDS 1.3 KB 2017-07-12
SHA256SUMS.txt 13.5 KB 2019-02-20
subj_10_m_c1_ref.dat 97.7 KB 2017-07-12
subj_10_m_c1_ref.hea 129 B 2017-07-12
subj_10_m_c1_vid.dat 1.6 KB 2017-07-12
subj_10_m_c1_vid.hea 125 B 2017-07-12
subj_10_s_c1_ref.dat 124.0 KB 2017-07-12
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