Video Pulse Signals in Stationary and Motion Conditions

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Version 1 - July 2017

When referencing this material, please cite:

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 [bib]

@article{UNICAPROP,
  author     = {A. Melchor Rodríguez and J. Ramos Castro},
  title      = {Pulse rate variability analysis by video using face detection and tracking algorithms},
  conference = {Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE},
  year       = {2015}
}

Please also 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. Circulation 101(23):e215-e220 [Circulation Electronic Pages; http://circ.ahajournals.org/content/101/23/e215]; 2000 (June 13). [bib]

@article{PhysioNet,
  author    = {Goldberger, Ary L. and Amaral, Luis A. N.
               and Glass, Leon and Hausdorff, Jeffrey M.
               and Ivanov, Plamen Ch. and Mark, Roger G.
               and Mietus, Joseph E. and Moody, George B.
               and Peng, Chung-Kang and Stanley, H. Eugene},
  title     = {{PhysioBank}, {PhysioToolkit}, and {PhysioNet}:
               Components of a New Research Resource for Complex
               Physiologic Signals},
  journal   = {Circulation},
  publisher = {American Heart Association, Inc.},
  volume    = {101},
  number    = {23},
  year      = {2000},
  month     = {June},
  pages     = {e215--e220},
  doi       = {10.1161/01.CIR.101.23.e215},
  issn      = {0009-7322},
  url       = {http://circ.ahajournals.org/content/101/23/e215}
}

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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 RECORDS                 2017-07-12 13:12  1.3K  list of record names
 DOI                     2019-02-05 14:46   19

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Updated Friday, 28 October 2016 at 16:58 EDT

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