Estimation of Changes in Intracardiac Hemodynamics Using Wearable Seismocardiography and Machine Learning in Patients With Heart Failure: A Feasibility Study.
Estimation of Changes in Intracardiac Hemodynamics Using Wearable Seismocardiography and Machine Learning in Patients with Heart Failure: A Feasibility Study.
Aug 1, 2022 · Objective: Tracking changes in hemodynamic congestion and the consequent proactive readjustment of treatment has shown efficacy in reducing ...
Jan 12, 2018 · Randomized controlled trial of an implantable continuous hemodynamic monitor in patients with advanced heart failure: the COMPASS-HF study.J ...
Apr 25, 2024 · ... Wearable Seismocardiography and Machine Learning in Patients With Heart Failure: A Feasibility Study. ... Changes in Wearable Seismocardiogram ...
Estimation of changes in intracardiac hemodynamics using wearable seismocardiography and machine learning in patients with heart failure: a feasibility study.
Jan 12, 2018 · Randomized controlled trial of an implantable continuous hemodynamic monitor in patients with advanced heart failure: the COMPASS-HF study.
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Estimation of Changes in Intracardiac Hemodynamics Using Wearable Seismocardiography and Machine Learning in Patients with Heart Failure: A Feasibility Study.
Smartphone-Based Recognition of Heart Failure by Means of ...
www.jacc.org › abs › j.jchf.2024.01.022
"Estimation of changes in intracardiac hemodynamics using wearable seismocardiography and machine learning in patients with heart failure: a feasibility study".
6 days ago · Objective: This study describes a novel HF diagnostic technology using audio recordings from a standard mobile phone. Methods: This prospective ...