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Sensor-based systems for early detection of dementia (SENDA): a study protocol for a prospective cohort sequential
Katrin Müller1, Stephanie Fröhlich2, Andresa M C Germano3
1Department of Sports Psychology (with focus on prevention and rehabilitation), Institute of Human Movement Science and Health, Faculty of Behavioural and Social Sciences, Chemnitz University of Technology, Thüringer Weg 11, 09126, Chemnitz, Germany. katrin.mueller@hsw.tu-chemnitz.de.
This study develops a sensor-based tool to detect early dementia using cognitive, sensory, and motor markers. Early detection in older adults can lead to timely interventions and better health outcomes.
Area of Science:
- Gerontology
- Neuroscience
- Biomedical Engineering
Background:
- Dementia and cognitive decline pose significant societal and economic challenges, exacerbated by aging populations.
- Neuropathological changes precede clinical symptoms, necessitating early detection methods.
- Identifying pre-clinical indicators like motor, sensory, and neurophysiological changes is crucial for timely intervention.
Purpose of the Study:
- To develop a multi-dimensional, sensor-based instrument for the early detection of cognitive decline and dementia in older adults.
- To identify cognitive, sensory, motor, and neurophysiological predictors of dementia.
- To enable earlier diagnosis and intervention for individuals at risk of cognitive impairment.
Main Methods:
- A cohort sequential study involving cognitively healthy, subjectively impaired, and mildly impaired individuals.
- Comprehensive assessments including cognitive tests, gait analysis, balance tests, sensory perception tests, and electroencephalograms.
- Repeated measurements over 3 years to track changes and identify associations with cognitive status.
Main Results:
- The study is ongoing, focusing on participant recruitment until May 2020.
- Data collection involves multi-modal assessments to capture diverse physiological and cognitive parameters.
- Analysis aims to correlate sensor-based data with cognitive decline progression.
Conclusions:
- The SENDA study aims to establish early predictors for dementia and its pre-stages in older adults.
- Development of an early screening tool can facilitate timely healthcare and preserve cognitive resources.
- Integrating multi-dimensional data offers a promising approach for proactive dementia care.
