Design and Implementation of Cognitive Assessment Tool for Working Memory and Attention based on PGI Memory Scale

Authors

  • Shilpa Walia Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India & Biomedical Applications Group, CSIR-Central Scientific Instruments Organisation, Chandigarh 160 030, India
  • Neelesh Kumar Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India & Biomedical Applications Group, CSIR-Central Scientific Instruments Organisation, Chandigarh 160 030, India
  • Praveen Kumar Khosla Chitkara University Institute of Engineering Technology, Chitkara University, Punjab 140 401, India
  • Sandeep Grover Department of Psychiatry, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh 160 012, India

DOI:

https://doi.org/10.56042/jsir.v82i9.3551

Keywords:

Cognition, Digital screening, Evaluation, Memory, Mobile application

Abstract

Cognitive function is one of the most fundamental psychological functions that play a significant role in person’s daily life. Impairment in cognitive function can impacts the daily functioning and overall performance of the person. A digital application could be an accessible and convenient method for the effective evaluation of cognition. The proposed Cognitive Assessment Digital Smart Tool (CADST) evaluates the Attention (ATT) and Working Memory (WM) parameters of cognition. The outcome measures of CADST were evaluated against PGI Memory Scale (PGIMS) and Montreal Cognitive Assessment (MoCA). Usability testing for the CADST tool was performed using the Post‒Study System Usability Questionnaire (PSSUQ). A total of 30 healthy participants were recruited (women = 12, men = 18; age (M ± SD) = 35.6 ± 10.63 y. o.). The feasibility study analysis revealed a significant moderate to strong correlation between the total scores of CADST and PGIMS (r = 0.75; p < 0.001) and a low to moderate correlation between the total scores of CADST and MoCA (r = 0.44; p < 0.001). Subtests of CADST and PGIMS showed strong correlation for ATT (r = 0.81; p < 0.001) and moderate correlation for WM (r = 0.51; p < 0.001). Similarly, subtests of CADST and MoCA showed moderate correlation for ATT (r = 0.63; p < 0.001) and low correlation for WM (r = 0.24; p = 1.82). CADST showed a high correlation with PGIMS for evaluating ATT and WM symptoms of cognition provide evidence of convergent validity. CADST is the first digital smart screening tool based on PGIMS for ATT and WM using web‒based technology. The overall usability ratings showed high acceptance for system usage, interface and information quality.

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Published

05-09-2023

Issue

Section

Computer Sciences, Communication and Information Technology