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

Wearable Devices and Sensors (990) Digital Pain Assessment and Management (196) Registered Report (670) Postoperative Pain Management (33) Machine Learning (1727)

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 Aqajari1 Author Orcid Image ;   Rui Cao1 Author Orcid Image ;   Emad Kasaeyan Naeini2 Author Orcid Image ;   Michael-David Calderon3 Author Orcid Image ;   Kai Zheng4 Author Orcid Image ;   Nikil Dutt2 Author Orcid Image ;   Pasi Liljeberg5 Author Orcid Image ;   Sanna Salanterä6, 7 Author Orcid Image ;   Ariana M Nelson3, 8 Author Orcid Image ;   Amir M Rahmani1, 2, 9, 10 Author Orcid Image
Article Authors Cited by (45) Tweetations (5) 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
  10. Klimek A, Mannheim I, Schouten G, Wouters E, Peeters M. Wearables measuring electrodermal activity to assess perceived stress in care: a scoping review. Acta Neuropsychiatrica 2025;37 View
  11. Gröhn T, Liikkanen S, Huttunen T, Mäkinen M, Liljeberg P, Marttinen P. Quantifying Movement Behavior of Chronic Low Back Pain Patients in Virtual Reality. ACM Transactions on Computing for Healthcare 2023;4(2):1 View
  12. Fernandez Rojas R, Brown N, Waddington G, Goecke R. A systematic review of neurophysiological sensing for the assessment of acute pain. npj Digital Medicine 2023;6(1) View
  13. Johansen A, Mølgaard J, Rasmussen S, Gu Y, Grønbæk K, Sørensen H, Aasvang E, Meyhoff C. Deviations in continuously monitored electrodermal activity before severe clinical complications: a clinical prospective observational explorative cohort study. Journal of Clinical Monitoring and Computing 2023;37(6):1573 View
  14. Fernandez Rojas R, Hirachan N, Brown N, Waddington G, Murtagh L, Seymour B, Goecke R. Multimodal physiological sensing for the assessment of acute pain. Frontiers in Pain Research 2023;4 View
  15. Pinzon-Arenas J, Kong Y, Chon K, Posada-Quintero H. Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity. IEEE Journal of Biomedical and Health Informatics 2023;27(9):4250 View
  16. Sen K, Maji U, Pal S. GSR-Based Auto-Monitoring of Pain Initiation/Elimination Time Using Nonlinear Dynamic Model. IEEE Sensors Journal 2023;23(22):28120 View
  17. Zargari A, AshrafiAmiri M, Seo M, Pudukotai Dinakarrao S, Fouda M, Kurdahi F. CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering. Information 2023;14(12):656 View
  18. Gkikas S, Tachos N, Andreadis S, Pezoulas V, Zaridis D, Gkois G, Matonaki A, Stavropoulos T, Fotiadis D. Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures. Frontiers in Pain Research 2024;5 View
  19. Wang H, Wang Q, He Q, Li S, Zhao Y, Zuo Y. Current perioperative nociception monitoring and potential directions. Asian Journal of Surgery 2024;47(6):2558 View
  20. Albahdal D, Aljebreen W, Ibrahim D. PainMeter: Automatic Assessment of Pain Intensity Levels From Multiple Physiological Signals Using Machine Learning. IEEE Access 2024;12:48349 View
  21. Janssen Daalen J, van den Bergh R, Prins E, Moghadam M, van den Heuvel R, Veen J, Mathur S, Meijerink H, Mirelman A, Darweesh S, Evers L, Bloem B. Digital biomarkers for non-motor symptoms in Parkinson’s disease: the state of the art. npj Digital Medicine 2024;7(1) View
  22. Ozek B, Lu Z, Radhakrishnan S, Kamarthi S, Imoize A. Uncertainty quantification in neural-network based pain intensity estimation. PLOS ONE 2024;19(8):e0307970 View
  23. Kong Y, Chon K. Electrodermal activity in pain assessment and its clinical applications. Applied Physics Reviews 2024;11(3) View
  24. Dampier C. What is the future of digital tools to help manage pain in sickle cell disease patients?. Expert Review of Hematology 2024;17(9):539 View
  25. Gozzi N, Preatoni G, Ciotti F, Hubli M, Schweinhardt P, Curt A, Raspopovic S. Unraveling the physiological and psychosocial signatures of pain by machine learning. Med 2024;5(12):1495 View
  26. Badura A, Bienkowska M, Mysliwiec A, Pietka E. Continuous Short-Term Pain Assessment in Temporomandibular Joint Therapy Using LSTM Models Supported by Heat-Induced Pain Data Patterns. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024;32:3565 View
  27. Snene M, Graf C, Vayne-Bossert P, Pautex S. Pain Assessment for Patients with Dementia and Communication Impairment: Feasibility Study of the Usage of Artificial Intelligence-Enabled Wearables. Sensors 2024;24(19):6298 View
  28. Huang Y, Cao R, Hughes T, Rahmani A. Smart pain relief: Harnessing conservative Q learning for personalized and dynamic pain management. Smart Health 2024;34:100519 View
  29. Subramanian A, Cao R, Naeini E, Aqajari S, Hughes T, Calderon M, Zheng K, Dutt N, Liljeberg P, Salanterä S, Nelson A, Rahmani A. Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach. JMIR Formative Research 2025;9:e67969 View
  30. Aziz S, Joseph C, Hirachan N, Murtagh L, Chetty G, Goecke R, Fernandez-Rojas R. A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of EDA. Biomedical Signal Processing and Control 2025;104:107454 View
  31. Sudimanto , Herwidiana Kartowisastro I, Trisetyarso A, Budiharto W. Pain Classification Using Discrete Wavelet Transform Feature Extraction and Machine Learning Techniques. IEEE Access 2025;13:45912 View

Books/Policy Documents

  1. Bieńkowska M, Badura A, Myśliwiec A, Pietka E. Information Technology in Biomedicine. View
  2. Kanduri A, Shahhosseini S, Naeini E, Alikhani H, Liljeberg P, Dutt N, Rahmani A. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. View

Conference Proceedings

  1. Naeini E, Shahhosseini S, Kanduri A, Liljeberg P, Rahmani A, Dutt N. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems View
  2. Sudimanto , Trisetyarso A, Kartowisastro I, Budiharto W. 2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE). Pain Classification Using Statistical Feature Extraction Using Machine Learning Approach: A Pilot Study View
  3. Nakanishi T, Fujiwara K, Sobue K. 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). Prediction Model of Postoperative Pain Exacerbation Using a Wearable Electrocardiogram Sensor View
  4. Aziz S, Khan M, Hirachan N, Chetty G, Goecke R, Fernandez-Rojas R. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). "Where does it hurt?": Exploring EDA Signals to Detect and Localise Acute Pain View
  5. Wibowo S, Chaw W, Antuvan C, Hao C. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Use of Wearable Sensor Device and Mobile Application for Objective Assessment of Pain in Post-surgical Patients: A Preliminary Study View
  6. Nakanishi T, Fujiwara K, Sobue K. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Prediction model of postoperative pain exacerbation using an intravenous patient-controlled analgesia device and a wearable electrocardiogram sensor View
  7. Kosaji D, Chaari A, Ezzaki C, Mohammed H, Abumousa S, Jelinek H, Khalaf K, Awad M. 2023 15th International Conference on Innovations in Information Technology (IIT). Enhancing Paediatric Rehabilitation Through Data-Driven Sensory Integration and Interactive Engagement View
  8. Itagaki N, Iramina K, Nakada Y. 2022 14th Biomedical Engineering International Conference (BMEiCON). The effect of visual cognition on the fear caused by pain recall View
  9. McNaboe R, Posada-Quintero H. 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA). Electrodermal Activity on the Torso: Identification of Locations for Wearable Belt Monitors View
  10. Moin S, Belani M, Singh P, Phutela N, Singh P. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. "But I Won't Say That It Was Bad Seeing a Real Vagina": Understanding Perspectives toward Learning Sensitive-Critical Health Topic View
  11. Gkikas S, Tsiknakis M. 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). Synthetic Thermal and RGB Videos for Automatic Pain Assessment Utilizing a Vision-MLP Architecture View
  12. Gkikas S, Tsiknakis M. 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). Twins-PainViT: Towards a Modality-Agnostic Vision Transformer Framework for Multimodal Automatic Pain Assessment Using Facial Videos and fNIRS View