ArticleFrontiers in physiology2021
An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases.
Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- POF cardiorespiratory sensor combined with a thermal imaging temperature sensor for multimodal emotion recognition.Biomedical optics express · 2026Article
- Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings.Scientific data · 2026Article
- A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals.Scientific data · 2025Article
- Fully automated template matching method for ECG-free heartbeat detection in cardiomechanical signals of healthy and pathological subjects.Physical and engineering sciences in medicine · 2025Article
- Computational Modeling of Cardiovascular-Induced Chest Vibrations: A Review and Practical Guide for Seismocardiography Simulation.International journal for numerical methods in biomedical engineering · 2025Review
- ECG-Free Heartbeat Detection in Seismocardiography and Gyrocardiography Signals Provides Acceptable Heart Rate Variability Indices in Healthy and Pathological Subjects.Sensors (Basel, Switzerland) · 2023Article
- Heartbeat Detection in Gyrocardiography Signals without Concurrent ECG Tracings.Sensors (Basel, Switzerland) · 2023Article
- ECG-Free Heartbeat Detection in Seismocardiography Signals via Template Matching.Sensors (Basel, Switzerland) · 2023Article
- Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms of Healthy Volunteers and Patients with Valvular Heart Diseases.Sensors (Basel, Switzerland) · 2023Article
- Precordial Vibrations: A Review of Wearable Systems, Signal Processing Techniques, and Main Applications.Sensors (Basel, Switzerland) · 2022Review
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Authors and funding
7 authors.
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Abstract
This paper describes an open-access database for seismo-cardiogram (SCG) and gyro-cardiogram (GCG) signals. The archive comprises SCG and GCG recordings sourced from and processed at multiple sites worldwide, including Columbia University Medical Center and Stevens Institute of Technology in the United States, as well as Southeast University, Nanjing Medical University, and the first affiliated hospital of Nanjing Medical University in China. It includes electrocardiogram (ECG), SCG, and GCG recordings collected from 100 patients with various conditions of valvular heart diseases such as aortic and mitral stenosis. The recordings were collected from clinical environments with the same types of wearable sensor patch. Besides the raw recordings of ECG, SCG, and GCG signals, a set of hand-corrected fiducial point annotations is provided by manually checking the results of the annotated algorithm. The database also includes relevant echocardiogram parameters associated with each subject such as ejection fraction, valve area, and mean gradient pressure.
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