Ventricular Function
Studies in this Category
Multi-site cardiac rhythm monitoring via multi-channel SCG system and exercise-induced physiological analysis
This research developed a system to monitor heart vibrations at multiple chest locations, showing how exercise changes heart valve timing. It could help detect heart issues without invasive tests.
From video to vital signs: a new method for contactless multichannel seismocardiography
This study shows that smartphone videos can track heart vibrations using QR stickers on the chest, offering a low-cost way to monitor heart health and detect issues early, with accuracy comparable to clinical tools.
Evaluation of seismocardiography in detecting pre-load changes and cardiovascular disease: a comparative study with transthoracic echocardiography
This study shows that SCG, a non-invasive heart vibration monitoring tool, can detect fluid changes and may help identify heart dysfunction, offering a simpler alternative to traditional echocardiography.
Digital Twin-Based Investigation of Seismocardiogram Sensitivity to Tissue Mechanics and Myocardial Motion
This study shows how personalized computer models based on CT scans can simulate heart vibrations (SCG) and improve non-invasive heart monitoring by accounting for individual anatomy and tissue properties.
Seismocardiograph Monitoring Using SMS Fiber Structure with PDMS Enclosure
This study developed a fiber-optic heart monitoring system that is highly accurate and protected by a special material, making it more reliable and practical for detecting heart vibrations.
Echocardiography Correlation with Seismocardiography—Systematic Review
This review highlights how SCG and ECHO can work together to improve heart monitoring, but calls for better standardization to make studies more reliable and comparable.
Developing a Protocol for Aligning and Correlating Seismocardiography with Echocardiography
This study developed a reliable ultrasound protocol to match heart vibration signals with cardiac events, improving research consistency and paving the way for better heart monitoring technologies.
Deep learning-based beat-to-beat delineation of heart sounds and fiducial points in seismocardiography
This study developed an AI tool that accurately detects key heart vibration points, enabling better heart monitoring for patients with or without heart disease.
Smartphone-Based Recognition of Heart Failure by Means of Microelectromechanical Sensors
This study shows that smartphones can detect heart failure with high accuracy using built-in motion sensors, offering a simple and non-invasive way to monitor heart health remotely.
Seismocardiography and echocardiography: the correlation in the systolic complex
This study shows that chest vibrations (SCG) can detect heart function changes and correlate with ultrasound results, offering a simpler way to monitor heart health at home or in clinics.
Investigating Seismocardiogram Patterns: A Computational Modeling of Cardiac Wall Motion Propagation to the Chest Surface
This study uses advanced modeling to simulate heart vibrations on the chest, helping improve non-invasive heart monitoring methods like SCG.
PulsatioMech: An Open-Source MATLAB Toolbox for Seismocardiography Signal Processing
This study presents a free MATLAB tool that helps researchers analyze heart vibrations (SCG signals) to better understand heart health and develop wearable monitoring devices.
Deep Learning for identifying systolic complexes in SCG traces: a cross-dataset analysis
This study shows how deep learning can identify heart activity from chest vibrations, even in real-world conditions, by using data from multiple sensors and personalizing the model for each user.
A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI
This study shows that wearable heart vibration sensors combined with AI can predict blood flow and diagnose aortic valve problems as accurately as advanced MRI scans, offering a cheaper and faster alternative for heart disease screening.
Effect of the Airway Pressure on the Frequency Domain of Seismocardiographic Signal
This study shows how changes in breathing pressure affect heart vibrations, which could help monitor heart muscle health in the future.
Analysis of Non-Contact Multichannel Recording of Cardiac Vibration: Visual Seismocardiogram
This study uses ultrasound to record heart vibrations without touching the body, offering better accuracy and visualization for heart event detection compared to traditional methods.
Mechanical deconditioning of the heart due to long-term bed rest as observed on seismocardiogram morphology
This study shows how prolonged bed rest weakens the heart and stiffens arteries, using chest vibrations measured by SCG. It suggests SCG could help monitor heart health in space and hospitals with simple wearable devices.
Correlation between diastolic seismocardiography variables and echocardiography variables
This study shows that chest vibrations (SCG) can reliably measure heart relaxation, similar to echocardiography, offering a simpler and faster way to monitor heart health at home or in clinics.
Wearable Seismocardiography‐Based Assessment of Stroke Volume in Congenital Heart Disease
This study shows that a wearable device using chest vibrations and heart signals can estimate blood flow in children with heart defects, offering a way to monitor heart health remotely and affordably.
Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups
This study shows that heart function can be monitored using vibrations from the chest and ECG, offering a simpler alternative to ultrasound for tracking changes after heart valve surgery.
A Comparison of Heart Pulsations Provided by Forcecardiography and Double Integration of Seismocardiogram
This study shows that heart vibrations measured by accelerometers can mimic a novel sensor's output, but improvements are needed for accurate heart rate tracking during breathing and apnea.
Computer-Aided Detection of Fiducial Points in Seismocardiography through Dynamic Time Warping
This study shows how advanced algorithms can improve heart monitoring by accurately detecting key heart signals from chest vibrations, helping predict heart failure with over 92% accuracy.
Assessment of left ventricular twist by 3D ballistocardiography and seismocardiography compared with 2D STI echocardiography in a context of enhanced inotropism in healthy subjects
This research shows that vibrations from the heart, measured using wearable sensors, can predict heart function and twisting motion more accurately than traditional methods, offering a new way to monitor heart health remotely.
Quantifying preload alterations using a sensitive chest-mounted accelerometer
This study shows that chest vibrations measured by a sensitive sensor can track heart function changes caused by fluid infusion, offering a new way to monitor heart health remotely.
Multichannel seismocardiography: an imaging modality for investigating heart vibrations
Researchers developed a new system to map heart vibrations across the chest, revealing patterns tied to heart valve movements. This technology could improve heart failure treatments and diagnostics.
Seismocardiography on Infants and Kids
This research shows how SCG can track heart activity in infants and kids, revealing unique signal patterns compared to adults. It sets the stage for better heart monitoring tools for children.
Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation
This study shows that chest vibrations (SCG) can measure heart function more accurately than traditional methods, paving the way for wearable heart monitors.
Recent Advances in Seismocardiography
This study reviews how SCG, a method to measure heart vibrations, is improving with new sensors and AI, showing promise for diagnosing heart conditions like atrial fibrillation and heart failure noninvasively.
Definition of Fiducial Points in the Normal Seismocardiogram
This research shows how chest vibrations (SCG) can accurately track heart valve movements, offering a simple, non-invasive way to monitor heart health using accelerometers.
High-Resolution Seismocardiogram Acquisition and Analysis System.
This study developed a portable device that uses vibrations from the chest to monitor heart health, showing promising results in detecting heart function metrics similar to hospital-grade echocardiograms.
Automatic Identification of Systolic Time Intervals in Seismocardiogram
This research shows how wearable sensors can accurately track heart function by analyzing vibrations from the chest, even in noisy conditions, paving the way for continuous heart health monitoring.
Echocardiography as an indication of continuous-time cardiac quiescence
This research shows that ultrasound can help identify heart motion phases for better CT scans, potentially reducing radiation and improving accuracy in diagnosing heart disease.
A 3D model of the thorax for seismocardiography
This study creates a 3D model of the chest to better understand heart vibrations, helping doctors use SCG for heart health monitoring.
Three-dimensional apex-seismocardiography
This study used a 3D accelerometer to measure heart vibrations at the chest's apex, revealing complex movement patterns that could help in diagnosing heart conditions like heart failure in the future.
History of space medicine: Academician Vasily V. Parin, founder of space cardiology
This study explores how Vasily V. Parin's innovations in heart monitoring during space missions have shaped modern cardiology and space medicine, including tools now used in everyday healthcare.
A trimodal system for the acquisition of synchronous echocardiography, electrocardiography, and seismocardiography data
This study developed a system that combines ultrasound, heart electrical signals, and chest vibrations to better understand heart function and improve imaging techniques like CT and MRI.
Estimating Cardiac Stroke Volume from the Seismocardiogram Signal
This study shows that heart vibrations measured on the chest (SCG) can estimate the amount of blood pumped by the heart (stroke volume) almost as accurately as ultrasound methods, using machine learning techniques.
Autonomic function testing aboard the ISS using “PNEUMOCARD”
This study shows that where SCG sensors are placed on the chest affects the accuracy of heart function measurements, highlighting the need for consistent placement standards to improve heart disease diagnosis.
Comparative analysis of three different modalities for characterization of the seismocardiogram
This study explores three methods to analyze heart vibrations, showing how imaging and modeling can help understand heart mechanics and improve non-invasive diagnostics.
Wearable Seismocardiography
This study shows that wearable devices can use heart vibrations and AI to diagnose aortic valve problems and predict blood flow metrics as accurately as advanced MRI scans, offering a cheaper and faster alternative for heart health monitoring.
The seismocardiogram as magnetic-field-compatible alternative to the electrocardiogram for cardiac stress monitoring
This study shows that SCG can monitor heart function during MRI without interference, offering a safer and more reliable way to detect heart issues like ischemia compared to ECG.
Seismocardiographic changes associated with obstruction of coronary blood flow during balloon angioplasty
This study shows that seismocardiography can detect heart muscle changes during coronary angioplasty, offering a new way to monitor heart health noninvasively.