Trend analysis for early identification of cognitive decline

Subject area: Bioengineering and Biomedical Engineering DOI: https://doi.org/10.5281/zenodo.20096533

15 Views
7 PDF downloads
— Citations (soon)

Abstract

Cognitive decline is an increasingly significant health issue, particularly among the elderly, where early identification is crucial for effective intervention and management. Traditional clinical assessments often occur sporadically and may fail to capture subtle changes in cognitive function over time. To address this gap, this project proposes a smartphone-based application that provides a convenient, cost-effective, and continuous platform for monitoring cognitive health in daily life.
The application integrates a range of interactive cognitive tests, memory exercises, and behavioural assessments to evaluate multiple aspects of cognitive function. User interactions and test performance are systematically recorded, generating longitudinal data that reflect changes in memory, attention, problem-solving skills, and other cognitive abilities. Advanced analytical techniques, including trend analysis and pattern recognition, are applied to this data to detect early signs of cognitive impairment.

Keywords

Cognitive DeclineEarly DetectionMobile HealthMemory AssessmentDigital Health TechnologyPattern Recognition

Cite this article

Jayanidhi, Gopika. B, Monisha. K, Siva priya. D (2026). Trend analysis for early identification of cognitive decline. International Innovations & Scholarly Trends Journal, 2(5), 275–282. https://doi.org/10.5281/zenodo.20096533

Share

Copyright & License

© 2026 — Authors retain the copyright of this article. This is an open access article distributed under the Creative Commons Attribution License (CC BY 4.0) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.