Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Carlson C

PROVIDER: S-EPMC7795624 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

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

Carlson Charles C Turpin Vanessa-Rose VR Suliman Ahmad A Ade Carl C Warren Steve S Thompson David E DE

Sensors (Basel, Switzerland) 20201229 1

<h4>Background</h4>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.<h4>Methods</h4>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 (w ...[more]

PMID: 33383739

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Project description:BackgroundTo study the effect of the "Internet + Smart Bed" health management system (IPBS) established with ballistocardiography (BCG) technology on the quality of life of elderly patients with chronic diseases.MethodsA total of 150 users with chronic diseases who had been staying in a nursing home during the period from January 2020 to March 2021 were enrolled and divided into 2 groups for experiments. The t-test and Bayesian methods were used to establish a generalized linear regression model to evaluate the effect of the IPBS on the quality of life of the subjects in the experiment. The control group (n=71) received routine examination and daily health risk management in pension facilities. Health service workers provided daily door-to-door care, and the users received regular diet, exercise, and medication supervision and guidance. The intervention group (n=79) was composed of users with chronic diseases, who accepted the IPBS. The health service workers, in addition to implementing routine examination and health risk management, conducted continuous monitoring and intervention management of the users' vital signs by means of the IPBS.ResultsThe results obtained with the Bayesian generalized linear regression model tended to agree with those of the t-test analysis. After 15 months of follow-up in the intervention group, the rates of body function, emotion, behavior compliance (BC), and health knowledge (HK) awareness were 1.47 times, 1.75 times, 1.53 times, and 1.69 times higher than those in the control group, respectively. In the intervention group, after using the IPBS, all scores of quality of life were better than those before use, and the differences were statistically significant P=0 or P=0.1 (P<0.05). In the control group, there were no statistically significant differences before and after observation (P>0.05).ConclusionsRoutine management in elderly users with chronic diseases by means of the IPBS, which could change the users' bad living habits and eating habits, raise the patients' HK awareness, and comprehensively improve the quality of life of patients with chronic diseases, is a self-health management model worthy of application and promotion.

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Dataset Information

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

Background

Methods

Results

Conclusion

Significance

Publications

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

Similar Datasets

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