Aortic Stenosis

Semantic Cluster8 Research Papers

Studies in this Category

ID: severe-aortic-stenosis-detection-using-seismocardiography2026

Severe aortic stenosis detection using seismocardiography

This study shows that chest vibrations measured by a small device can accurately detect severe heart valve disease, offering a low-cost alternative to traditional tests like echocardiography.

#scg#ecg#accelerometer

ID: a-deep-learning-approach-to-using-wearable-seismocardiography-for-diagnosing-aortic-valve-stenosis-and-predicting-aortic-hemodynamics-obtained-by-4d-flow-mri2023

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.

#scg#accelerometer#deep-learning

ID: cardiac-time-intervals-derived-from-electrocardiography-and-seismocardiography-in-different-patient-groups2022

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.

#scg#ecg#accelerometer

ID: 86057-high-screening-efficacy-using-wearable-seismocardiography-to-identify-aortic-valve-disease-patients-potential-to-tailor-mri-exams-to-patient-needs2021

86057 High Screening Efficacy Using Wearable Seismocardiography to Identify Aortic Valve Disease Patients, Potential to Tailor MRI Exams to Patient Needs

This research shows that chest vibration signals can accurately identify heart valve disease, offering a quick and affordable alternative to MRI for screening patients.

#scg#accelerometer#mri

ID: detecting-aortic-stenosis-using-seismocardiography-and-gryocardiography-combined-with-convolutional-neural-networks2021

Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks

This study shows that heart vibrations measured by wearable sensors and analyzed with AI can detect aortic stenosis with over 98% accuracy, offering a simpler alternative to traditional echocardiography.

#scg#accelerometer#deep-learning

ID: detecting-aortic-valve-induced-abnormal-flow-with-seismocardiography-and-cardiac-mri2020

Detecting Aortic Valve-Induced Abnormal Flow with Seismocardiography and Cardiac MRI

This research shows that chest vibrations measured by SCG can detect abnormal heart valve flow, offering a quick and affordable way to identify heart issues compared to MRI scans.

#scg#accelerometer#mri

ID: seismocardiography-and-4d-flow-mri-reveal-impact-of-aortic-valve-replacement-on-chest-acceleration-and-aortic-hemodynamics2019

Seismocardiography and 4D flow MRI reveal impact of aortic valve replacement on chest acceleration and aortic hemodynamics

This study shows how chest vibration measurements and advanced MRI can track improvements in blood flow after heart valve surgery, offering a quick and affordable way to monitor recovery.

#scg#wearable#accelerometer

ID: wearable-seismocardiography2007

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.

#scg#accelerometer#mri