Bed-Based Ballistocardiography Dataset

Citation Author(s):
Charles
Carlson
Kansas State University, Mike Wiegers Department of Electrical and Computer Engineering
Vanessa-Rose
Turpin
Kanas State University, Department of Kinesiology
Ahmad
Suliman
Kansas State University, Mike Wiegers Department of Electrical and Computer Engineering
Carl
Ade
Kansas State University, Department of Kinesiology
Steve
Warren
Kansas State University, Mike Wiegers Department of Electrical and Computer Engineering
David E.
Thompson
Kansas State University, Mike Wiegers Department of Electrical and Computer Engineering
Submitted by:
Charles Carlson
Last updated:
Wed, 12/30/2020 - 00:21
DOI:
10.21227/77hc-py84
Data Format:
*.mat
License:
Creative Commons Attribution
6567 Views
Categories:
Biomedical and Health Sciences
Sensors
Signal Processing
Keywords:
Ballistocardiography; unobtrusive cardiac monitoring; shared biomedical database; cuff-less blood pressure monitoring; force sensors
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Abstract 

 

This dataset of heart-driven signals collected from 40 participants, under Kansas State University IRB protocol #9386, includes ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms. The BCGs were collected from a custom, bed-based ballistocardiographic system comprised of four electromechanical films and four load cells. Affiliated cardiopulmonary signals were acquired using a GE Datex CardioCap 5 patient monitor (which collected ECG and PPG data) and a Finapres Medical Systems Finometer PRO (which provided continuous reconstructed brachial artery pressure waveforms and derived cardiovascular parameters). See our publication in Sensors for a complete description of the system used to collect this dataset. Carlson, C.; Turpin, V.-R.; Suliman, A.; Ade, C.; Warren, S.; Thompson, D.E.; Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters. Sensors 2021, 21, 156. https://doi.org/10.3390/s21010156

 

Instructions: 

These .MAT files contain MATLAB Tables of raw and preprocessed data. Information detailing the bed system used to collect these signals and the steps used to create the preprocessed data are contained in a publication in Sensors – Carlson, C.; Turpin, V.-R.; Suliman, A.; Ade, C.; Warren, S.; Thompson, D.E.; Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters. Sensors 2021, 21, 156. https://doi.org/10.3390/s21010156.

The reBAP signal is scaled at 100 mmHg/volt. The interbeat interval (IBI), stroke volume (SV), and dP/dt_max are scaled at 1000 ms/volt, 100 mL/volt, and 1 mHg/s/volt, respectively.

Comments

Thank you.

Submitted by Ibrahim Sadek on Thu, 12/31/2020 - 07:10

Thank you.

Submitted by mohamed outanoute on Mon, 09/13/2021 - 09:56

thank you!

Submitted by xiong peter on Tue, 11/14/2023 - 01:21

thank you!

Submitted by li xuanyi on Sat, 12/30/2023 - 07:21

Dear all,

I was wondering what is the unit of measure for each waveform.

When I load data for patient x1001, I get an ECG waveform of 299000 points.

What measure unit do I have to consider for all these points?

Yours sincerely

Submitted by pietro fusco on Sat, 10/19/2024 - 14:12

Hello,

Firstly, I would like to express my gratitude for your work. Regarding the paper, I have downloaded the Dataset Files.zip from the IEEE DataPort repository(source: https://ieee-dataport.org/open-access/bed-based-ballistocardiography-dat...), which is approximately 2.09GB in size. The zip file contains "Bed_System_Database.mat" and "Preprocessed_Database.mat" with sizes of 1.59GB and 669MB, respectively. Upon attempting to read these files using Python, I found that:

"Bed_System_Database.mat" contains only the following fields:

  • #refs# (class 'h5py._hl.group.Group')
  • #subsystem# (class 'h5py._hl.group.Group')
  • Bed_System_Database (class 'h5py._hl.dataset.Dataset')

"Bed_System_Database" contains only a single signal, and it is unclear which are the BCG, PPG, ECG, and ABP signals.

 

And "Preprocessed_Database.mat" contains only the following fields:

  • header (class 'bytes')
  • version (class 'str')
  • globals (class 'list')
  • None (class 'scipy.io.matlab._mio5_params.MatlabOpaque')
  • function_workspace (class 'numpy.ndarray')

I would like to know if I have downloaded the correct dataset.

 

Thanks a lot!

Submitted by Bao Bi on Sat, 11/09/2024 - 08:00

Dataset Files

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Documentation

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File Documentation.pdf163.38 KB

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