Database methodology for therapy evaluation in auditory schizophrenia disorder based on continuity evolution of symptoms

Carlos A. Mugruza-Vassallo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In the context of a medication or therapy course, an intriguing question may arise after a few therapies: Should the treatment or therapy be continued? Even after several instances of therapy, there are not clear measures for a schizophrenia patient. Therefore, the decision is based on the expertise of the therapist or psychiatrist. Here, an innovative method was shown for evaluating responses of schizophrenia patients in a course of therapy and even different treatments. A parity decision task was proposed, where duration and mutual information of the different sounds were correlated with the electroencephalographic (EEG) measures of schizophrenia patients. The result was the design of a database system that is able to provide multiple-adapted comparison treatments in patients. Clinical test data recording was designed as well, which aims to be effective in creating a decision tool regarding the continuity of the therapy for a schizophrenia patient. No similar database design was found in the literature reviewed.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Information Communication and Management, ICICM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages298-303
Number of pages6
ISBN (Electronic)9781509034949
DOIs
StatePublished - 14 Dec 2016
Externally publishedYes
Event6th International Conference on Information Communication and Management, ICICM 2016 - Hatfield, Hertfordshire, United Kingdom
Duration: 29 Oct 201631 Oct 2016

Publication series

NameProceedings of the 6th International Conference on Information Communication and Management, ICICM 2016

Conference

Conference6th International Conference on Information Communication and Management, ICICM 2016
Country/TerritoryUnited Kingdom
CityHatfield, Hertfordshire
Period29/10/1631/10/16

Keywords

  • Attention
  • ElectroEncephaloGraphic (EEG)
  • Information and Communication Technologies (ICT)
  • Linear Modelling
  • Linear regressors
  • Schizophrenia (SZ) patients

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