A Pressure Map Dataset for In-bed Posture Classification (pmd)

The new PhysioNet website is available at: https://physionet.org. We welcome your feedback.

Version 1 - September 2017

When referencing this material, please cite:

M. Baran Pouyan, J. Birjandtalab, M. Heydarzadeh, M. Nourani, S. Ostadabbas. A pressure map dataset for posture and subject analytics. 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). DOI: 10.1109/BHI.2017.7897206. [bib]
@article{pmd,
  author  = {M. Baran Pouyan, J. Birjandtalab, M. Heydarzadeh, M. Nourani, and S. Ostadabbas},
  title   = {A pressure map dataset for posture and subject analytics},
  journal = {IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)},
  year    = {2017}
}

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

In this project, we collected in-bed posture pressure data from multiple adult participants using two different types of pressure sensing mats. To the best of our knowledge, our dataset, PmatData is the first publicly-available dataset of pressure sensor data which includes various sleeping postures. PmatData contains pressure data from two separate experiments. These two experiments are:

Data Files

The experiment-info.docx file provides information about subjects and postures, including visual diagrams. There are also subject-info-*.csv files in each experiment subdirectory describing subject information.

The data files are provided in tab delimited text format, listed in subdirectories named after the experiment number and subject number.

For experiment i, the text files are named after the position number from 1-17. Each file contains multiple frames of recordings, with the 2048 columns representing the 32x64 pressure sensor measurements, and each row giving a new set of samples.

For experiment ii, the text files are named after the 29 position numbers. Each file contains one average of multiple frames of recordings. In contrast with the experiment i text files, the 27 columns and 64 rows represent the 27x64 sensor matrix.

Contributors

A team of researchers from Quality of Life Technology (QoLT) Laboratory at the University of Texas at Dallas created and contributed this database to PhysioNet. The contributors include Maziyar Baran Pouyan, Javad Birjandtalab, Mehrdad Heydarzadeh, Sarah Ostadabbas, Rasoul Yousefi, Masoud Farshbaf and Mehrdad Nourani (Faculty Advisor) and Matthew Pompeo, MD (clinical consultant).

Icon  Name                    Last modified      Size  Description
[PARENTDIR] Parent Directory - [   ] experiment-info.docx 2017-09-27 14:52 534K [DIR] experiment-ii/ 2017-09-27 14:41 - [DIR] experiment-i/ 2017-09-27 14:41 - [   ] DOI 2019-02-19 14:20 19

Questions and Comments

If you would like help understanding, using, or downloading content, please see our Frequently Asked Questions.

If you have any comments, feedback, or particular questions regarding this page, please send them to the webmaster.

Comments and issues can also be raised on PhysioNet's GitHub page.

Updated Friday, 28 October 2016 at 16:58 EDT

PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.