Ethan Johnson

Verified Contributor4 Publications in Hub

Research Bibliography

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.

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.

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.

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.