Open Access
Issue
EPJ Web Conf.
Volume 305, 2024
6th International Conference on Applications of Optics and Photonics (AOP2024)
Article Number 00019
Number of page(s) 6
DOI https://doi.org/10.1051/epjconf/202430500019
Published online 15 October 2024
  1. L. Wing, The definition and prevalence of autism: A review, European child & adolescent psychiatry 2, 61 (1993). [CrossRef] [PubMed] [Google Scholar]
  2. J. Baio, Prevalence of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, united states, 2014, MMWR. Surveillance Summaries 67 (2018). [Google Scholar]
  3. B. Zablotsky, M.D. Bramlett, S.J. Blumberg, The co-occurrence of autism spectrum disorder in children with adhd, Journal of Attention Disorders 24, 94 (2020). [CrossRef] [PubMed] [Google Scholar]
  4. M. Micai, L.M. Fatta, L. Gila, A. Caruso, T. Salvitti, F. Fulceri, A. Ciaramella, R. D’Amico, C. Del Giovane, M. Bertelli et al., Prevalence of cooccurring conditions in children and adults with autism spectrum disorder: A systematic review and metaanalysis, Neuroscience & Biobehavioral Reviews 155, 105436 (2023). [CrossRef] [Google Scholar]
  5. E. Hollander, E. Anagnostou, Clinical manual for the treatment of autism (American Psychiatric Pub, 2007) [Google Scholar]
  6. R. Hurwitz, R. Blackmore, P. Hazell, K. Williams, S. Woolfenden, Tricyclic antidepressants for autism spectrum disorders (asd) in children and adolescents, Cochrane Database of Systematic Reviews (2012). [Google Scholar]
  7. H.S. Roane, W.W. Fisher, J.E. Carr, Applied behavior analysis as treatment for autism spectrum disorder, The Journal of pediatrics 175, 27 (2016). [CrossRef] [PubMed] [Google Scholar]
  8. A. Genovese, M.G. Butler, Clinical assessment, genetics, and treatment approaches in autism spectrum disorder (asd), International journal of molecular sciences 21, 4726 (2020). [CrossRef] [PubMed] [Google Scholar]
  9. M.H. Charlop-Christy, M. Carpenter, L. Le, L.A. LeBlanc, K. Kellet, Using the picture exchange communication system (pecs) with children with autism: Assessment of pecs acquisition, speech, social-communicative behavior, and problem behavior, Journal of applied behavior analysis 35, 213 (2002). [CrossRef] [PubMed] [Google Scholar]
  10. R.E. Griffioen, G.J. van Boxtel, T. Verheggen, M.J. Enders-Slegers, S. Van Der Steen, Group changes in cortisol and heart rate variability of children with down syndrome and children with autism spectrum disorder during dog-assisted therapy, Children 10, 1200 (2023). [CrossRef] [PubMed] [Google Scholar]
  11. F. Martin, J. Farnum, Animal-assisted therapy for children with pervasive developmental disorders, Western journal of nursing research 24, 657 (2002). [CrossRef] [PubMed] [Google Scholar]
  12. L.A. Redefer, J.F. Goodman, Brief report: Petfacilitated therapy with autistic children, Journal of autism and developmental disorders 19, 461 (1989). [CrossRef] [PubMed] [Google Scholar]
  13. M. Espinosa, L. Escobedo, SATORI: a support tool for young adults with autism to selfmanage stress and anxiety, in X Latin American Conference on HCI (2021) [Google Scholar]
  14. S.K. Schäfer, F.R. Ihmig, K.A. Lara H, F. Neurohr, S. Kiefer, M. Staginnus, J. LassHennemann [Google Scholar]
  15. T. Michael, Effects of heart rate variability biofeedback during exposure to fear-provoking stimuli within spider-fearful individuals: Study protocol for a randomized controlled trial, Trials 19 (2018). [PubMed] [Google Scholar]
  16. F. Shaffer, J.P. Ginsberg, An overview of heart rate variability metrics and norms, Frontiers in public health (2017). [Google Scholar]
  17. R. Castaldo, L. Montesinos, P. Melillo, C. James [Google Scholar]
  18. L. Pecchia, Ultra-short term HRV features as surrogates of short term HRV: A case study on mental stress detection in real life, BMC medical informatics and decision making 19 (2019). [PubMed] [Google Scholar]
  19. M. Gjoreski, M. Luštrek, M. Gams, H. Gjoreski, Monitoring stress with a wrist device using context, Journal of biomedical informatics 73 (2017). [Google Scholar]
  20. N.E.J. Asha, R. Khan et al., Low-cost heart rate sensor and mental stress detection using machine learning, in 5th International Conference on Trends in Electronics and Informatics (IEEE, 2021). [Google Scholar]
  21. C. Kyriacou, R. Forrester-Jones, P. Triantafyllopoulou, Clothes, sensory experiences and autism: is wearing the right fabric important?, Journal of Autism and Developmental Disorders 53, 1495 (2023). [CrossRef] [PubMed] [Google Scholar]
  22. A.G. Leal-Junior, C.A. Diaz, L.M. Avellar, M.J. Pontes, C. Marques, A. Frizera, Polymer optical fiber sensors in healthcare applications: A comprehensive review, Sensors 19 (2019). [PubMed] [Google Scholar]
  23. M. Gaitán-Padilla, M. Múnera, M. Pontes, M. Segatto, C. Cifuentes, C. Diaz, Development of a polymeric optical fiber sensor for stress estimation: A comparative analysis between physiological sensors, IEEE Sensors Journal (2024). [Google Scholar]
  24. J. Casas, A. Leal-Junior, C.R. Díaz, A. Frizera, M. Múnera, C.A. Cifuentes, Large-range polymer optical-fiber strain-gauge sensor for elastic tendons in wearable assistive robots, Materials 12 (2019). [PubMed] [Google Scholar]
  25. D.L. Presti, D. Bianchi, C. Massaroni, C. Coricciati, A. Rainer, S. Silvestri, A. Gizzi, E. Schena, Optimization and characterization of a 3dprinted wearable strain sensor for respiration and heartbeat measurements, Measurement p. 114377 (2024). [CrossRef] [Google Scholar]
  26. L. Zhichao, Z. Xi, S. Taoping, M. Jiahe, Heartbeat and respiration monitoring based on fbg sensor network, Optical Fiber Technology 81, 103561 (2023). [CrossRef] [Google Scholar]
  27. A.G. Leal-Junior, C.R. Díaz, C. Leitão, M.J. Pontes, C. Marques, A. Frizera, Polymer optical fiber-based sensor for simultaneous measurement of breath and heart rate under dynamic movements, Optics & Laser Technology 109 (2019). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.