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Bioelectronics

Stress monitoring with wearable technology and AI

Physicochemical-sensing electronic skins — combined with artificial intelligence — could be used to develop personalized stress management systems.

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Fig. 1: The future of stress monitoring with wearable technology.

References

  1. Fink, G. in Reference Module in Neuroscience and Biobehavioral Psychology 549–555 (Elsevier, 2017).

  2. Kim, H. G., Cheon, E. J., Bai, D. S., Lee, Y. H. & Koo, B. H. Psychiatry Investig. 15, 235–245 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ernst, H. et al. PLoS ONE 18, e0294069 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Dalmeida, K. M. & Masala, G. L. Sensors 21, 2873 (2021).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  5. Samson, C. & Koh, A. Front. Bioeng. Biotechnol. 8, 1037 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Torrente-Rodríguez, R. M. et al. Matter 2, 921–937 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Ates, H. C. et al. Nat. Rev. Mater. 7, 887–907 (2022).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  8. Mukasa, D. et al. Adv. Mater. 35, 2212161 (2023).

    Article  CAS  Google Scholar 

  9. Xu, C. et al. Nat. Electron. https://doi.org/10.1038/s41928-023-01116-6 (2024).

    Article  Google Scholar 

  10. Ates, H. C. et al. Preprint at medRxiv https://doi.org/10.1101/2023.10.23.23297424 (2023).

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Correspondence to Cihan Ates or Can Dincer.

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Ates, H.C., Ates, C. & Dincer, C. Stress monitoring with wearable technology and AI. Nat Electron 7, 98–99 (2024). https://doi.org/10.1038/s41928-024-01128-w

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