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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 .
Pulse oximeter device and smartphone showing SpO2 and heart rate readings

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 2025;30(2) View
  3. Meyer K, Totapally B. Neonatal and Pediatric Transport: A Contemporary Review. Children 2026;13(2):175 View
  4. Mohammadian A, Dahooie J, Delbord H, Khanam M, Daim T. A Hybrid Policy making Framework for IoT Applications in Healthcare, Considering Uncertainty and Robustness. International Journal of Innovation and Technology Management 2026 View
  5. Arifin Z, Handayani P. Patient Acceptance and Barriers to IoT Usage in Health Care: Systematic Literature Review. JMIR mHealth and uHealth 2026;14:e81260 View