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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7795624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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