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

Wearable Devices and Sensors (657) Digital Pain Assessment and Management (104) Registered Report (358) Postoperative Pain Management (21) Machine Learning (1008)

Published on in Vol 9 , No 5 (2021) :May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25258, first published .
Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study

Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study

Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study

Authors of this article:

Seyed Amir Hossein Aqajari 1 Author Orcid Image ;   Rui Cao 1 Author Orcid Image ;   Emad Kasaeyan Naeini 2 Author Orcid Image ;   Michael-David Calderon 3 Author Orcid Image ;   Kai Zheng 4 Author Orcid Image ;   Nikil Dutt 2 Author Orcid Image ;   Pasi Liljeberg 5 Author Orcid Image ;   Sanna Salanterä 6, 7 Author Orcid Image ;   Ariana M Nelson 3, 8 Author Orcid Image ;   Amir M Rahmani 1, 2, 9, 10 Author Orcid Image
Article Authors Cited by (11) Tweetations (6) Metrics

Journals

  1. Kong Y, Posada-Quintero H, Chon K. Real-Time High-Level Acute Pain Detection Using a Smartphone and a Wrist-Worn Electrodermal Activity Sensor. Sensors 2021;21(12):3956 View
  2. Wells C, Xu W, Penfold J, Keane C, Gharibans A, Bissett I, O’Grady G. Wearable devices to monitor recovery after abdominal surgery: scoping review. BJS Open 2022;6(2) View
  3. Afandizadeh Zargari A, Aqajari S, Khodabandeh H, Rahmani A, Kurdahi F. An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN. ACM Transactions on Computing for Healthcare 2023;4(1):1 View
  4. Tronstad C, Amini M, Bach D, Martinsen Ø. Current trends and opportunities in the methodology of electrodermal activity measurement. Physiological Measurement 2022;43(2):02TR01 View
  5. Bhatkar V, Picard R, Staahl C. Combining Electrodermal Activity With the Peak-Pain Time to Quantify Three Temporal Regions of Pain Experience. Frontiers in Pain Research 2022;3 View
  6. Somani S, Yu K, Chiu A, Sykes K, Villwock J. Consumer Wearables for Patient Monitoring in Otolaryngology: A State of the Art Review. Otolaryngology–Head and Neck Surgery 2022;167(4):620 View
  7. Montero Quispe K, Utyiama D, dos Santos E, Oliveira H, Souto E. Applying Self-Supervised Representation Learning for Emotion Recognition Using Physiological Signals. Sensors 2022;22(23):9102 View
  8. Kong Y, Posada-Quintero H, Tran H, Talati A, Acquista T, Chen I, Chon K. Differentiating between stress- and EPT-induced electrodermal activity during dental examination. Computers in Biology and Medicine 2023;155:106695 View
  9. Liikkanen S, Mäkinen M, Huttunen T, Sarapohja T, Stenfors C, Eccleston C. Body movement as a biomarker for use in chronic pain rehabilitation: An embedded analysis of an RCT of a virtual reality solution for adults with chronic pain. Frontiers in Pain Research 2022;3 View

Books/Policy Documents

  1. Bieńkowska M, Badura A, Myśliwiec A, Pietka E. Information Technology in Biomedicine. View