This paper is in the following e-collection/theme issue:

Machine Learning (2032) Cardiology (218)

Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18715, first published .
Machine Learning Model Based on Transthoracic Bioimpedance and Heart Rate Variability for Lung Fluid Accumulation Detection: Prospective Clinical Study

Machine Learning Model Based on Transthoracic Bioimpedance and Heart Rate Variability for Lung Fluid Accumulation Detection: Prospective Clinical Study

Machine Learning Model Based on Transthoracic Bioimpedance and Heart Rate Variability for Lung Fluid Accumulation Detection: Prospective Clinical Study

Authors of this article:

Natasa Reljin1 Author Orcid Image ;   Hugo F. Posada-Quintero1 Author Orcid Image ;   Caitlin Eaton-Robb1 Author Orcid Image ;   Sophia Binici2 Author Orcid Image ;   Emily Ensom3 Author Orcid Image ;   Eric Ding3 Author Orcid Image ;   Anna Hayes3 Author Orcid Image ;   Jarno Riistama4 Author Orcid Image ;   Chad Darling5 Author Orcid Image ;   David McManus3 Author Orcid Image ;   Ki H. Chon1 Author Orcid Image
Article Authors Cited by (11) Tweetations (3) Metrics

Natasa Reljin   1 , PhD ;   Hugo F. Posada-Quintero   1 , PhD ;   Caitlin Eaton-Robb   1 , MSc ;   Sophia Binici   2 , BSc ;   Emily Ensom   3 , BSc ;   Eric Ding   3 , BSc ;   Anna Hayes   3 , MD ;   Jarno Riistama   4 , PhD ;   Chad Darling   5 , MD ;   David McManus   3 , MD ;   Ki H. Chon   1 , PhD

1 Department of Biomedical Engineering, University of Connecticut, Mansfield, CT, United States

2 Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States

3 University of Massachusetts Memorial Hospital Care, Worcester, MA, United States

4 Philips Research, Eindhoven, The Netherlands

5 Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, United States

Corresponding Author:

  • Hugo F. Posada-Quintero, PhD
  • Department of Biomedical Engineering, University of Connecticut
  • 67 N Eagleville Rd, Storrs
  • Mansfield, CT 06269
  • United States
  • Phone: 1 5088739247
  • Email: h.posada@uconn.edu