TREND ANALYSIS FOR EARLY IDENTIFICATION OF COGNITIVE DECLINE USING MOBILE DATA

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-09
DOI
https://doi.org/10.5281/zenodo.20096533
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
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article

TREND ANALYSIS FOR EARLY IDENTIFICATION OF COGNITIVE DECLINE USING MOBILE DATA

Monisha.K, Gayathri. G, Siva Priya. D, Jayanidhi. J et al.
Zenodo (CERN European Organization for Nuclear Research)
Dementia and Cognitive Impairment Research
article

TREND ANALYSIS FOR EARLY IDENTIFICATION OF COGNITIVE DECLINE USING MOBILE DATA

Monisha.K, Gayathri. G, Siva Priya. D, Jayanidhi. J, Gopika. B
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 6%
Dementia and Cognitive Impairment Research
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