ArticleSensors (Basel, Switzerland)2020
Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 66 citations in OpenAlex.
- Study on Multimodal Sensor Fusion for Heart Rate Estimation Using BCG and PPG Signals.Sensors (Basel, Switzerland) · 2026Article
- Cardiac-vagal rhythm echoes on the heartbeat's mechanosensory imprint in the brain.Communications biology · 2025Article
- A ballistocardiogram dataset with reference ECG signals for bed-based heart rhythm assessment.Scientific data · 2025Article
- A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment.Scientific data · 2025Article
- Multi-Source Causal Invariance for Cuffless Blood Pressure Estimation Based on Photoplethysmography Signal Features.Sensors (Basel, Switzerland) · 2025Article
- AI-driven system for non-contact continuous nocturnal blood pressure monitoring using fiber optic ballistocardiography.Communications engineering · 2024Article
- HSF-IBI: A Universal Framework for Extracting Inter-Beat Interval from Heterogeneous Unobtrusive Sensors.Bioengineering (Basel, Switzerland) · 2024Article
- A ballistocardiogram dataset with reference sensor signals in long-term natural sleep environments.Scientific data · 2024Article
- Robust arterial compliance estimation with Katz's fractal dimension of photoplethysmography.Frontiers in physiology · 2024Article
- Feasibility of Unobtrusively Estimating Blood Pressure Using Load Cells under the Legs of a Bed.Sensors (Basel, Switzerland) · 2023Article
- Analysis of the Chaotic Component of Photoplethysmography and Its Association with Hemodynamic Parameters.Entropy (Basel, Switzerland) · 2023Article
- A benchmark for machine-learning based non-invasive blood pressure estimation using photoplethysmogram.Scientific data · 2023Article
- Temporal complexity in photoplethysmography and its influence on blood pressure.Frontiers in physiology · 2023Article
- Intensive care photoplethysmogram datasets and machine-learning for blood pressure estimation: Generalization not guarantied.Frontiers in physiology · 2023Article
- Wearable Photoplethysmography for Cardiovascular Monitoring.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022Article
- A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.Sensors (Basel, Switzerland) · 2022Article
- Machine learning-aided detection of heart failure (LVEF ≤ 49%) by using ballistocardiography and respiratory effort signals.Frontiers in physiology · 2022Article
- Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe 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.
methodsA 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).
resultsData 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
conclusionA 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.