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

mHealth for Telemedicine and Homecare (399) Telehealth and Telemonitoring (1671) Pulmonology, COPD (143) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) Wearable Devices and Sensors (889)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16147, first published .
Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison

Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison

Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison

Authors of this article:

Kathleen G Fan1 Author Orcid Image ;   Jess Mandel2 Author Orcid Image ;   Parag Agnihotri3 Author Orcid Image ;   Ming Tai-Seale4 Author Orcid Image
Article Authors Cited by (23) Tweetations (5) Metrics

Kathleen G Fan   1 , BSc ;   Jess Mandel   2 , MD ;   Parag Agnihotri   3 , MD ;   Ming Tai-Seale   4 , MPH, PhD

1 New York Medical College, Valhalla, CA, United States

2 Division of Pulmonary, Critical Care, and Sleep Medicine, School of Medicine, University of California San Diego, La Jolla, CA, United States

3 University of California San Diego Health Population Health Services Organization, University of California San Diego, La Jolla, CA, United States

4 Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, United States

Corresponding Author:

  • Ming Tai-Seale, MPH, PhD
  • Department of Family Medicine and Public Health
  • University of California San Diego
  • 9500 Gilman Drive
  • La Jolla, CA
  • United States
  • Phone: 1 650 815 5485
  • Email: mtaiseale@health.ucsd.edu