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Selection of physiological parameters for optoelectronic system supporting behavioral therapy of autistic children

Abstract

In this article the procedure of selection of physiological parameters for optoelectronic system supporting behavioral therapy of autistic children is proposed. Authors designed and conducted an experiment in which a group of 30 health volunteers (16 females and 14 males) were examined. Under controlled conditions people were exposed to a stressful situation caused by the picture or sound (1kHz constant sound, which was gradually silenced and finished with a shot sound). For each of volunteers, a set of physiological parameters were recorded, including: skin conductance, heart rate, peripheral temperature, respiration rate and electromyography. The selected characteristics were measured in different locations in order to choose the most suitable one for the designed therapy supporting system. The bio-statistical analysis allowed us to discern the proper physiological parameters that are most associated to changes due to emotional state of a patient, such as: skin conductance, temperatures and respiration rate. This allowed us to design optoelectronic sensors network for supporting behavioral therapy of children with autism.

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Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
Conference on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments strony 1 - 2
Language:
English
Publication year:
2015
Bibliographic description:
Landowska A., Karpienko K., Wróbel M., Jędrzejewska-Szczerska M..: Selection of physiological parameters for optoelectronic system supporting behavioral therapy of autistic children, W: Conference on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments, 2015, SPIE-INT SOC OPTICAL ENGINEERING, 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA,.
DOI:
Digital Object Identifier (open in new tab) 10.1117/12.2075020
Verified by:
Gdańsk University of Technology

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