Estimation of Changes in Intracardiac Hemodynamics Using Wearable Seismocardiography and Machine Learning in Patients With Heart Failure: A Feasibility Study-Reference-Cited by-同舟云学术

Estimation of Changes in Intracardiac Hemodynamics Using Wearable Seismocardiography and Machine Learning in Patients With Heart Failure: A Feasibility Study

Published:2022-08 Issue:8 Volume:69 Page:2443-2455
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Shandhi Md Mobashir Hasan¹^ORCID,Fan Joanna²^ORCID,Heller J. Alex³^ORCID,Etemadi Mozziyar³^ORCID,Klein Liviu²^ORCID,Inan Omer T.⁴^ORCID

Affiliation:

1. Department of Biomedical Engineering, Duke University, Durham, NC, USA

2. Division of Cardiology, University of California San Francisco, USA

3. School of Medicine, Northwestern University, USA

4. School of Electrical and Computer Engineering, Georgia Institute of Technology, USA

Funder

National Heart, Lung, and Blood Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9832680/09697365.pdf?arnumber=9697365

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