Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12048, first published .
A Cardiopulmonary Monitoring System for Patient Transport Within Hospitals Using Mobile Internet of Things Technology: Observational Validation Study

A Cardiopulmonary Monitoring System for Patient Transport Within Hospitals Using Mobile Internet of Things Technology: Observational Validation Study

A Cardiopulmonary Monitoring System for Patient Transport Within Hospitals Using Mobile Internet of Things Technology: Observational Validation Study

Journals

  1. Min Hyun C, Jun Jang T, Nam J, Kwon H, Jeon K, Lee K. Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography. Machine Learning: Science and Technology 2023;4(1):015034 View
  2. An Y, Cao K, Li F, Lu Q, Guan Y, Lu Z, Wang A, Tian Z. A new classification for emergency critically ill patients and analysis of their adverse events during intrahospital transport: A cluster analysis. Nursing in Critical Care 2024 View