Prototype measurement system for the eye-hand coordination test of the developmental test of visual perception

Daniel Alejandro Quiroga-Torres, Juan S. Lara, Antonio Miguel-Cruz, Adriana María Ríos-Rincón

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

The current version of the Developmental Test of Visual Perception (DTVP-3) is one of the most commonly used tests to identify the presence and degree of visual-perceptual and visual-integration deficits in children from 4 to 12 years of age. This test consists of five main sub-tests including a eye-hand coordination test (EHCT). Currently, the EHCT is based on observations by a therapist and requires a post-hoc analysis using the DTVP normative data, a time-consumption task that is not free of therapist error. Thus, a medical device is needed to automatically measure, score and report the test scores obtained from the DTVP-3. This device will lead to an overall decrease in the time taken for the post-hoc analysis and an improvement in the accuracy of the EHCT score. We determined that the device must allow a stylus position to be tracked in two dimensions with a resolution of 1 mm and the system must be small in size in order not to interfere with the test. In this study, we proposed a system based on Hall-effect technology sensors, which allows distances from the magnetic field magnitudes to be indirectlyestimated using small sensors. A first prototype consisted of a matrix array of sensors. A radial basis function was used to model the magnitude-distance response of each sensor. The model was estimated by using a multivariate linear regression, and it was found that the proposed model for 1 mm resolution tests, had an average r2 of 99%.

Original languageEnglish (US)
Pages (from-to)687-691
Number of pages5
JournalIFMBE Proceedings
Volume68
Issue number1
DOIs
StatePublished - Jan 1 2019
EventWorld Congress on Medical Physics and Biomedical Engineering, WC 2018 - Prague, Czech Republic
Duration: Jun 3 2018Jun 8 2018

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biomedical Engineering

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