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Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters

Background: The goal of this work was to create a sharable dataset of heart-driven signals, including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms. Methods: A custom, bed-based ballistocardiographic system is describe...

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Autores principales: Carlson, Charles, Turpin, Vanessa-Rose, Suliman, Ahmad, Ade, Carl, Warren, Steve, Thompson, David E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795624/
https://www.ncbi.nlm.nih.gov/pubmed/33383739
http://dx.doi.org/10.3390/s21010156
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author Carlson, Charles
Turpin, Vanessa-Rose
Suliman, Ahmad
Ade, Carl
Warren, Steve
Thompson, David E.
author_facet Carlson, Charles
Turpin, Vanessa-Rose
Suliman, Ahmad
Ade, Carl
Warren, Steve
Thompson, David E.
author_sort Carlson, Charles
collection PubMed
description Background: The goal of this work was to create a sharable dataset of heart-driven signals, including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms. Methods: A custom, bed-based ballistocardiographic system is described in detail. Affiliated cardiopulmonary signals are acquired using a GE Datex CardioCap 5 patient monitor (which collects ECG and PPG data) and a Finapres Medical Systems Finometer PRO (which provides continuous reconstructed brachial artery pressure waveforms and derived cardiovascular parameters). Results: Data were collected from 40 participants, 4 of whom had been or were currently diagnosed with a heart condition at the time they enrolled in the study. An investigation revealed that features extracted from a BCG could be used to track changes in systolic blood pressure (Pearson correlation coefficient of 0.54 +/− 0.15), dP/dt(max) (Pearson correlation coefficient of 0.51 +/− 0.18), and stroke volume (Pearson correlation coefficient of 0.54 +/− 0.17). Conclusion: A collection of synchronized, heart-driven signals, including BCGs, ECGs, PPGs, and blood pressure waveforms, was acquired and made publicly available. An initial study indicated that bed-based ballistocardiography can be used to track beat-to-beat changes in systolic blood pressure and stroke volume. Significance: To the best of the authors’ knowledge, no other database that includes time-aligned ECG, PPG, BCG, and continuous blood pressure data is available to the public. This dataset could be used by other researchers for algorithm testing and development in this fast-growing field of health assessment, without requiring these individuals to invest considerable time and resources into hardware development and data collection.
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spelling pubmed-77956242021-01-10 Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters Carlson, Charles Turpin, Vanessa-Rose Suliman, Ahmad Ade, Carl Warren, Steve Thompson, David E. Sensors (Basel) Article Background: The goal of this work was to create a sharable dataset of heart-driven signals, including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms. Methods: A custom, bed-based ballistocardiographic system is described in detail. Affiliated cardiopulmonary signals are acquired using a GE Datex CardioCap 5 patient monitor (which collects ECG and PPG data) and a Finapres Medical Systems Finometer PRO (which provides continuous reconstructed brachial artery pressure waveforms and derived cardiovascular parameters). Results: Data were collected from 40 participants, 4 of whom had been or were currently diagnosed with a heart condition at the time they enrolled in the study. An investigation revealed that features extracted from a BCG could be used to track changes in systolic blood pressure (Pearson correlation coefficient of 0.54 +/− 0.15), dP/dt(max) (Pearson correlation coefficient of 0.51 +/− 0.18), and stroke volume (Pearson correlation coefficient of 0.54 +/− 0.17). Conclusion: A collection of synchronized, heart-driven signals, including BCGs, ECGs, PPGs, and blood pressure waveforms, was acquired and made publicly available. An initial study indicated that bed-based ballistocardiography can be used to track beat-to-beat changes in systolic blood pressure and stroke volume. Significance: To the best of the authors’ knowledge, no other database that includes time-aligned ECG, PPG, BCG, and continuous blood pressure data is available to the public. This dataset could be used by other researchers for algorithm testing and development in this fast-growing field of health assessment, without requiring these individuals to invest considerable time and resources into hardware development and data collection. MDPI 2020-12-29 /pmc/articles/PMC7795624/ /pubmed/33383739 http://dx.doi.org/10.3390/s21010156 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Carlson, Charles
Turpin, Vanessa-Rose
Suliman, Ahmad
Ade, Carl
Warren, Steve
Thompson, David E.
Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters
title Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters
title_full Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters
title_fullStr Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters
title_full_unstemmed Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters
title_short Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters
title_sort bed-based ballistocardiography: dataset and ability to track cardiovascular parameters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795624/
https://www.ncbi.nlm.nih.gov/pubmed/33383739
http://dx.doi.org/10.3390/s21010156
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