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, US

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

3 Department of Informatics, University of California, Irvine , Irvine, CA, US

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

5 Turku University Hospital , Turku , FI

6 Department of Nursing, University of Turku , Turku , FI

7 School of Medicine, University of California, Irvine , Irvine, CA, US

8 School of Nursing, University of California, Irvine , Irvine, CA, US

9 Institute for Future Health, University of California, Irvine , Irvine, CA, US

*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
  • US
  • Phone: 1 9496106661
  • Email: ekasaeya@uci.edu