Direct Pulse Transit Time Measurement from an Electronic Weighing Scale

Gomez-Clapers, Joan; Casanella, Ramon; Pallás-Areny, R.

doi:10.22489/cinc.2016.223-364

Cited by 4 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although somewhat intrusive, wearable systems, which provide continuous measurements, have been investigated for this purpose [ 11 , 12 ]. Weighing scales, which measure the head-to-foot axial component, are possibly the most researched methodology [ 6 , 13 , 14 , 15 ]. However, these systems do not have an important property of other BCG systems—the ability to monitor cardiovascular data unobtrusively without effort from the user.…”

Section: Introductionmentioning

confidence: 99%

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

Carlson

Turpin

Suliman

et al. 2020

Sensors

View full text Add to dashboard Cite

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/dtmax (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.

show abstract