ArticleSensors (Basel, Switzerland)2021
Blood Pressure Monitoring System Using a Two-Channel Ballistocardiogram and Convolutional Neural Networks.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of Ballistocardiogram in the Diagnosis of Coronary Heart Disease: Systematic Review.JMIR cardio · 2025Pooled it
- Optimizing Input Feature Sets Using Catch-22 and Personalization for an Accurate and Reliable Estimation of Continuous, Cuffless Blood Pressure.Bioengineering (Basel, Switzerland) · 2025Article
- A Deep Convolution Method for Hypertension Detection from Ballistocardiogram Signals with Heat-Map-Guided Data Augmentation.Bioengineering (Basel, Switzerland) · 2025Article
- Using machine learning models for cuffless blood pressure estimation with ballistocardiogram and impedance plethysmogram.Frontiers in digital health · 2025Article
- Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System.Sensors (Basel, Switzerland) · 2024Article
- Feasibility of Unobtrusively Estimating Blood Pressure Using Load Cells under the Legs of a Bed.Sensors (Basel, Switzerland) · 2023Article
- Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar-A Feasibility Study.Sensors (Basel, Switzerland) · 2023Article
- Automated Hypertension Detection Using ConvMixer and Spectrogram Techniques with Ballistocardiograph Signals.Diagnostics (Basel, Switzerland) · 2023Article
- Non-invasive monitoring of cardiac function through Ballistocardiogram: an algorithm integrating short-time Fourier transform and ensemble empirical mode decomposition.Frontiers in physiology · 2023Article
- Trends in Passive IoT Biomarker Monitoring and Machine Learning for Cardiovascular Disease Management in the U.S. Elderly Population.Advances in geriatric medicine and research · 2023Article
- Digital Optical Ballistocardiographic System for Activity, Heart Rate, and Breath Rate Determination during Sleep.Sensors (Basel, Switzerland) · 2022Article
- Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals.International journal of environmental research and public health · 2022Article
- A Practical Application for Quantitative Brain Fatigue Evaluation Based on Machine Learning and Ballistocardiogram.Healthcare (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Hypertension is a chronic disease that kills 7.6 million people worldwide annually. A continuous blood pressure monitoring system is required to accurately diagnose hypertension. Here, a chair-shaped ballistocardiogram (BCG)-based blood pressure estimation system was developed with no sensors attached to users. Two experimental sessions were conducted with 30 subjects. In the first session, two-channel BCG and blood pressure data were recorded for each subject. In the second session, the two-channel BCG and blood pressure data were recorded after running on a treadmill and then resting on the newly developed system. The empirical mode decomposition algorithm was used to remove noise in the two-channel BCG, and the instantaneous phase was calculated by applying a Hilbert transform to the first intrinsic mode functions. After training a convolutional neural network regression model that predicts the systolic and diastolic blood pressures (SBP and DBP) from the two-channel BCG phase, the results of the first session (rest) and second session (recovery) were compared. The results confirmed that the proposed model accurately estimates the rapidly rising blood pressure in the recovery state. Results from the rest sessions satisfied the Association for the Advancement of Medical Instrumentation (AAMI) international standards. The standard deviation of the SBP results in the recovery session exceeded 0.7.
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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.