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EGG: AI-Based Interactive Design Object for Managing Post-operative Pain in Children

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Artificial Intelligence for Neuroscience and Emotional Systems (IWINAC 2024)

Abstract

The anticipation and effective management of pain in pediatric patients is an essential component of healthcare. AI-based interactive technologies can enhance postoperative pain management by objectively measuring pain and providing an effective distraction for children. This paper presents EGG, an AI-based interactive toy designed to estimate individual pain levels and subsequently engage the children through an immersive experience utilizing visual, tactile, and audio stimuli. An exploratory study involving 16 university students was conducted to assess EGG’s capability to distract users from stressful situations. The findings indicate that EGG serves as an effective tool for shifting attention away from stressful tasks and towards interactions with the device. This study explores and demonstrates an approach to utilizing AI in the design of smart interactive products for pain measurement and management.

J. Li and K. Chen—Both authors contributed equally to this research.

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References

  1. Shaffer, F., Ginsberg, J.P.: An overview of heart rate variability metrics and norms. Front. Public Health 5, 258 (2017)

    Article  Google Scholar 

  2. Kim, H.G., Cheon, E.J., Bai, D.S., Lee, Y.H., Koo, B.H.: Stress and heart rate variability: a meta-analysis and review of the literature. Psychiatry Investig. 15(3), 235 (2018)

    Article  Google Scholar 

  3. Evans, S., Seidman, L.C., Tsao, J.C., Lung, K.C., Zeltzer, L.K., Naliboff, B.D.: Heart rate variability as a biomarker for autonomic nervous system response differences between children with chronic pain and healthy control children. J. Pain Res., 449–457 (2013)

    Google Scholar 

  4. Demyttenaere, S., Finley, G.A., Johnston, C.C., McGrath, P.J.: Pain treatment thresholds in children after major surgery. Clin. J. Pain 17(2), 173–177 (2001)

    Article  Google Scholar 

  5. Gerbershagen, H.J., Rothaug, J., Kalkman, C.J., Meissner, W.: Determination of moderate-to-severe postoperative pain on the numeric rating scale: a cut-off point analysis applying four different methods. Br. J. Anaesth. 107(4), 619–626 (2011)

    Article  Google Scholar 

  6. Boonstra, A.M., et al.: Cut-off points for mild, moderate, and severe pain on the numeric rating scale for pain in patients with chronic musculoskeletal pain: variability and influence of sex and catastrophizing. Front. Psychol. 7, 1466 (2016)

    Article  Google Scholar 

  7. Saxena, I., Kumar, M., Barath, A.S., Verma, A., Garg, S.: Effect of age on response to experimental pain in normal Indian males. J. Clin. Diagn. Res. JCDR 9(9), CC05 (2015)

    Google Scholar 

  8. Haslam, D.R.: Age and the perception of pain. Psychonomic Sci. 15(2), 86–87 (1969)

    Article  Google Scholar 

  9. Aydin, D., Sahiner, N.: Effects of music therapy and distraction cards on pain relief during phlebotomy in children. Appl. Nurs. Res. 33, 164–168 (2017)

    Article  Google Scholar 

  10. Center, E., Center, C., Center, P.: Music therapy (2013)

    Google Scholar 

  11. Bailey, L.: Music therapy in pain management. J. Pain Symptom Manage. 1, 25–28 (1986)

    Article  Google Scholar 

  12. Hong, K.: Tactile Toys: Therapy for tactile dysfunction. Int. J. Technol. Inclusive Educ. (IJTIE) 7, 1295–1297 (2018)

    Google Scholar 

  13. Mary-Ellen, H., Janet, P., Karen, W., Rebecca Pillai, R., Joel, K., Taddio, A.: A randomized-controlled trial of parent-led tactile stimulation to reduce pain during infant immunization injections The Clin. J. Pain 30(3), 259–265 (2014)

    Google Scholar 

  14. Karafotias, G., Korres, G., Teranishi, A., Park, W., Eid, M.: Mid-air tactile stimulation for pain distraction. IEEE Trans. Haptics 11, 185–191 (2017)

    Article  Google Scholar 

  15. Song, C., Ikei, H., Miyazaki, Y.: Physiological effects of nature therapy: a review of the research in Japan. Int. J. Environ. Res. Public Health 13, 781 (2016)

    Article  Google Scholar 

  16. Werner, P., Lopez-Martinez, D., Walter, S., Al-Hamadi, A., Gruss, S., Picard, R.: Automatic recognition methods supporting pain assessment: a survey. IEEE Trans. Affect. Comput. 13, 530–552 (2019)

    Article  Google Scholar 

  17. Koskinen, I., Zimmerman, J., Binder, T., Redstrom, J., Wensveen, S.: Design research through practice: From the lab, field, and showroom. IEEE Trans. Prof. Commun. 56, 262–263 (2013)

    Article  Google Scholar 

  18. Zieliński, J., Morawska-Kochman, M., Zatoński, T.: Pain assessment and management in children in the postoperative period: a review of the most commonly used postoperative pain assessment tools, new diagnostic methods and the latest guidelines for postoperative pain therapy in children. Adv. Clin. Exp. Med. 29, 365–74 (2020)

    Article  Google Scholar 

  19. Gatchel, R., Robinson, R., Pulliam, C., Maddrey, A.: Biofeedback with pain patients: evidence for its effectiveness. Semin. Pain Med. 1, 55–66 (2003)

    Article  Google Scholar 

  20. Górriz, J., Illán, I.: Others Computational approaches to Explainable artificial intelligence: advances in theory, applications and trends. Inform. Fusion 100, 101945 (2023)

    Article  Google Scholar 

  21. Ferrari, O., Zhang, F., Braam, A., Van Gurp, J., Broz, F.,Barakova, E.: Design of Child-robot Interactions for Comfort and Distraction from Post-operative Pain and Distress. In: Companion Of The 2023 ACM/IEEE International Conference On Human-Robot Interaction, pp. 686–690 (2023)

    Google Scholar 

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Correspondence to Jing Li .

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Li, J., Chen, K., Yang, L., Mutsaers, M., Barakova, E. (2024). EGG: AI-Based Interactive Design Object for Managing Post-operative Pain in Children. In: Ferrández Vicente, J.M., Val Calvo, M., Adeli, H. (eds) Artificial Intelligence for Neuroscience and Emotional Systems. IWINAC 2024. Lecture Notes in Computer Science, vol 14674. Springer, Cham. https://doi.org/10.1007/978-3-031-61140-7_31

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  • DOI: https://doi.org/10.1007/978-3-031-61140-7_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-61139-1

  • Online ISBN: 978-3-031-61140-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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