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

Machine Learning (1465) Cardiology (159)

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 (8) Tweetations (3) Metrics

Journals

  1. Connaire J, Sundermann M, Perumal R, Herzog C. <p>A Novel Radiofrequency Device to Monitor Changes in Pulmonary Fluid in Dialysis Patients</p>. Medical Devices: Evidence and Research 2020;Volume 13:377 View
  2. Faust O, Hong W, Loh H, Xu S, Tan R, Chakraborty S, Barua P, Molinari F, Acharya U. Heart rate variability for medical decision support systems: A review. Computers in Biology and Medicine 2022;145:105407 View
  3. Sandys V, Sexton D, O'Seaghdha C. Artificial intelligence and digital health for volume maintenance in hemodialysis patients. Hemodialysis International 2022;26(4):480 View
  4. Sandys V, Bhat L, O'Hare E, Ninan A, Doyle K, Kelly S, Conlon P, Sexton D, Edwards C, McAleese P, O’Seaghdha C. Pilot Study of a Wearable Hydration Monitor in Haemodialysis Patients: Haemodialysis Outcomes & Patient Empowerment Study 02. Digital Biomarkers 2023:18 View
  5. Simić M, Freeborn T, Stojanović G. Smartphone-Based Parameter Estimation of the Cole-Impedance Model for Assessment of Agricultural Goods. IEEE Access 2024;12:103192 View
  6. Giménez-Miranda L, Scagliusi S, Pérez-García P, Olmo-Fernández A, Huertas G, Yúfera A, Medrano F. Wearable Devices Based on Bioimpedance Test in Heart Failure: Clinical Relevance: Systematic Review. Reviews in Cardiovascular Medicine 2024;25(9) View