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PL EN


Journal

2014 | 4 (56) | 26-30

Article title

E-technologie w diagnozie i pomiarach postępów terapii dzieci z autyzmem w Polsce

Content

Title variants

EN
E-technologies in the diagnosis and evaluation of therapy progress of autistic children in Poland

Languages of publication

PL

Abstracts

EN
Autism is a developmental disorder constituting a serious social and economic problem. Early diagnosis and starting appropriate therapy increase the chance to a child's development and thus to avoid social exclusion. Because of the difficulty in access to proper institutions and a long time from the first indications to the diagnosis, the children are being diagnosed later than they should be. Subjective, usually observational, diagnostic criteria are an additional difficulty, because the diagnosis result depend on the experience and insight of the doctor making the diagnosis. The aim of this work is to analyze the possibility of technological support of diagnosis and the evaluation of therapy progress of autistic children, especially using mobile devices. There are some solutions used in this field across the world, but most of them are experimental studies applied in few institutions. The presented study includes a questionnaire survey conducted among Polish institutions working with people with autism. The gathered answers lead to interesting conclusions. Countless institutions use mobile devices in the diagnosis. Most therapists think such support is possible. Moreover, all of them are interested in a system enabling an automatic evaluation of therapy progress for autistic children. Supporting the diagnosis process and the evaluation of therapy progress may increase the chance for independent life of autistic children, and thus decrease the social and economic costs of autism.

Journal

Year

Issue

Pages

26-30

Physical description

Contributors

  • Wydział Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej
  • Wydział Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej
  • Zakład Psychologii Eksperymentalnej Uniwersytetu Jagiellońskiego
author

References

  • Baio J., Prevalence of autism spectrum disorders - autism and developmental disabilities monitoring network, 14 sites, United States, „MMWR Surveillance Summary” 2012, Vol. 61, No. 3, s. 1-19.
  • Goldsmith T.R., LeBlanc L.A., Use of Technology in Interventions for Children with Autism, „Journal of Early and Intensive Behavior Intervention” 2004, Vol. 1, s. 166-178.
  • Hashemi J., et al., Computer vision tools for the non-invasive assessment of autism-related behavioral markers, IEEE International Conference on Development and Learning and Epigenetic Robotics, conference proceedings, San Diego 2012, http://dx.doi.org/10.1109/DevLrn.2012.6400865.
  • Jones W., Klin A., Attention to eyes is present but in decline in 2-6-month-old infants later diagnosed with autism, „Nature” 2013, No. 504, s. 427-431, http://dx.doi.org/10.1038/nature12715.
  • Klin A., Jones W., Schultz R., Volkmar F., Cohen D., Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism, „Archive of General Psychiatry” 2002, Vol. 59, No. 9, s. 809-816, http://dx.doi.org/10.1001/archpsyc.59.9.809.
  • Robins D., Fein F., Barton M., Green J., The Modified-Checklist for Autism in Toddlers (M-CHAT): An initial investigation in the early detection of autism and Pervasive Developmental Disorder, „Journal of Autism and Developmental Disorders” 2001, Vol. 31, No. 2, s. 131-144, http://dx.doi.org.10.1023/A:1010738829569.
  • Saitovitch A., et al., Studying gaze abnormalities in autism: Which type of stimulus to use? , „Open Journal of Psychiatry” 2013, Vol. 3, s. 32-38, http://dx.doi.org/10.4236/ojpsych.2013.32A006.
  • Tchaconas A., Adesman A., Autism spectrum disorders: A pediatric overview and update, „Current Opinion in Pediatrics” 2013, Vol. 25, No. 1, s. 130-144, http://dx.doi.org/10.1097/MOP.0b013e32835c2b70.
  • Torres E.B., et al., Autism: the micro-movement perspective, „Frontiers in integrative neuroscience” 2013, Vol. 7, e00032, http://dx.doi.org/10.3389/fnint.2013.00032.
  • Wall D.P., Dally R., Luyster R., Jung J.Y., DeLuca T.F., Use of Artificial Intelligence to Shorten the Behavioral Diagnosis of Autism, „PLoS ONE” 2012, Vol. 7, No. 8, e43855, http://dx.doi.org/10.1371/journal.pone.0043855.
  • Wall D.P., Kosmicki J., DeLuca T.F., Harstad L., Fusaro V.A., Use of machine learning to shorten observation-based screening and diagnosis of autism, „Translational Psychiatry” 2012, Vol. 2, e100, http://dx.doi.org/10.1038/tp.2012.10.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-d4df0454-4f23-45d1-9abc-eef5b7c51412
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