Development of an Adaptive Computer-Aided Soft Sensor Diagnosis System for Assessment of Executive Functions

Mohai, Katalin and Kálózi-Szabó, Csilla and Jakab, Zoltán and Fecht, Szilárd Dávid and Domonkos, Márk and Botzheim, János (2022) Development of an Adaptive Computer-Aided Soft Sensor Diagnosis System for Assessment of Executive Functions. SENSORS, 22 (15). ISSN 1424-8220

Preview

Text sensors-22-05880-v2.pdf Download (704kB) | Preview

Abstract

The main objective of the present study is to highlight the role of technological (soft sensor) methodologies in the assessment of the neurocognitive dysfunctions specific to neurodevelopmental disorders (for example, autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and specific learning disorder). In many cases neurocognitive dysfunctions can be detected in neurodevelopmental disorders, some of them having a well-defined syndrome-specific clinical pattern. A number of evidence-based neuropsychological batteries are available for identifying these domain-specific functions. Atypical patterns of cognitive functions such as executive functions are present in almost all developmental disorders. In this paper, we present a novel adaptation of the Tower of London Test, a widely used neuropsychological test for assessing executive functions (in particular planning and problem-solving). Our version, the Tower of London Adaptive Test, is based on computer adaptive test theory (CAT). Adaptive testing using novel algorithms and parameterized task banks allows the immediate evaluation of the participant’s response which in turn determines the next task’s difficulty level. In this manner, the subsequent item is adjusted to the participant’s estimated capability. The adaptive procedure enhances the original test’s diagnostic power and sensitivity. By measuring the targeted cognitive capacity and its limitations more precisely, it leads to more accurate diagnoses. In some developmental disorders (e.g., ADHD, ASD) it could be very useful in improving the diagnosis, planning the right interventions, and choosing the most suitable assistive digital technological service.

Actions (login required)

Edit Item