Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25079, first published .
Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study

Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study

Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study

Emad Kasaeyan Naeini   1 * , BSc, MSc ;   Ajan Subramanian   1 * , BSc ;   Michael-David Calderon   2 , BSc ;   Kai Zheng   3 , PhD ;   Nikil Dutt   1 , PhD ;   Pasi Liljeberg   4 , PhD ;   Sanna Salantera   5, 6 , PhD, RN ;   Ariana M Nelson   7 , MD ;   Amir M Rahmani   1, 8, 9 , PhD

1 Department of Computer Science, University of California, Irvine, Irvine, CA, United States

2 Department of Anesthesiology and Perioperative Care, UC Irvine Health, Orange, CA, United States

3 Department of Informatics, University of California, Irvine, Irvine, CA, United States

4 Department of Future Technology, University of Turku, Turku, Finland

5 Department of Nursing, University of Turku, Turku, Finland

6 Turku University Hospital, Turku, Finland

7 School of Medicine, University of California, Irvine, Irvine, CA, United States

8 School of Nursing, University of California, Irvine, Irvine, CA, United States

9 Institute for Future Health, University of California, Irvine, Irvine, CA, United States

*these authors contributed equally

Corresponding Author:

  • Emad Kasaeyan Naeini, BSc, MSc
  • Department of Computer Science
  • University of California, Irvine
  • DBH Bldg, 3rd Fl.
  • Irvine, CA, 92617
  • United States
  • Phone: 1 9496106661
  • Email: ekasaeya@uci.edu