ArticleJournal of the American Heart Association2022
Wearable Seismocardiography-Based Assessment of Stroke Volume in Congenital Heart Disease.
Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Smart Wearables for the Detection of Cardiovascular Diseases: A Systematic Literature Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Clinical Readiness of Hemodynamic Estimation from Cardiac Vibration Signals: An Endpoint-Specific Critical Review.Annals of biomedical engineering · 2026Review
- The Role of Wearable Devices in the Management of Congenital Heart Disease.Journal of clinical medicine · 2026Review
- Measuring cardiac stroke volume through in-ear audio sensing.Nature communications · 2026Article
- Detecting multiple fiducial markers from a camera seismocardiogram.Biomedical optics express · 2026Article
- Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings.Scientific data · 2026Article
- Deep Learning Predicts Cardiac Output from Seismocardiographic Signals in Heart Failure.The American journal of cardiology · 2026Article
- Computational Modeling of Cardiovascular-Induced Chest Vibrations: A Review and Practical Guide for Seismocardiography Simulation.International journal for numerical methods in biomedical engineering · 2025Review
- Wearable multimodal sensing for quantifying the cardiovascular autonomic effects of levodopa in parkinsonism.Frontiers in network physiology · 2025Article
- Continuous Estimation of Blood Pressure by Utilizing Seismocardiogram Signal Features in Relation to Electrocardiogram.Biosensors · 2024Article
- Evaluating Seismocardiography as a Non-Exercise Method for Estimating Maximal Oxygen Uptake.Healthcare (Basel, Switzerland) · 2024Article
- An open-access simultaneous electrocardiogram and phonocardiogram database.Physiological measurement · 2024Article
- Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review.Biosensors · 2024Review
- Skin-interfacing wearable biosensors for smart health monitoring of infants and neonates.Communications materials · 2024Review
- A Wavelet-Based Approach for Motion Artifact Reduction in Ambulatory Seismocardiography.IEEE journal of translational engineering in health and medicine · 2024Article
- Synthetic seismocardiogram generation using a transformer-based neural network.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Current and Future Use of Artificial Intelligence in Electrocardiography.Journal of cardiovascular development and disease · 2023Review
- Wearable Biosensors in Congenital Heart Disease: Needs to Advance the Field.JACC. Advances · 2023Article
- Transcutaneous auricular Vagus Nerve Stimulation and Median Nerve Stimulation reduce acute stress in young healthy adults: a single-blind sham-controlled crossover study.Frontiers in neuroscience · 2023Article
- Pain is reduced by transcutaneous cervical vagus nerve stimulation and correlated with cardiorespiratory variability measures in the context of opioid withdrawal.Frontiers in pain research (Lausanne, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Patients with congenital heart disease (CHD) are at risk for the development of low cardiac output and other physiologic derangements, which could be detected early through continuous stroke volume (SV) measurement. Unfortunately, existing SV measurement methods are limited in the clinic because of their invasiveness (eg, thermodilution), location (eg, cardiac magnetic resonance imaging), or unreliability (eg, bioimpedance). Multimodal wearable sensing, leveraging the seismocardiogram, a sternal vibration signal associated with cardiomechanical activity, offers a means to monitoring SV conveniently, affordably, and continuously. However, it has not been evaluated in a population with significant anatomical and physiological differences (ie, children with CHD) or compared against a true gold standard (ie, cardiac magnetic resonance). Here, we present the feasibility of wearable estimation of SV in a diverse CHD population (N=45 patients). Methods and Results We used our chest-worn wearable biosensor to measure baseline ECG and seismocardiogram signals from patients with CHD before and after their routine cardiovascular magnetic resonance imaging, and derived features from the measured signals, predominantly systolic time intervals, to estimate SV using ridge regression. Wearable signal features achieved acceptable SV estimation (28% error with respect to cardiovascular magnetic resonance imaging) in a held-out test set, per cardiac output measurement guidelines, with a root-mean-square error of 11.48 mL and
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