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Nonwearable Sensor-Based In-Home Assessment of Subtle Daily Behavioral Changes as a Candidate Biomarker for Mild
Takao Yamasaki1,2,3, Shuzo Kumagai1
1Kumagai Institute of Health Policy, Fukuoka 816-0812, Japan.
Journal of Personalized Medicine
|January 21, 2022
Summary
Subtle behavioral changes in daily life, detected by nonwearable sensors, can serve as early biomarkers for Alzheimer's disease (AD) and mild cognitive impairment (MCI). This technology offers a more objective alternative to traditional assessments for early AD detection.
Area of Science:
- Gerontology
- Neurology
- Biomedical Engineering
Background:
- Early-stage Alzheimer's disease (AD), including mild cognitive impairment (MCI), presents subtle behavioral changes often missed by traditional assessments.
- Digital technologies, particularly nonwearable sensors, are increasingly utilized to capture these behavioral alterations more objectively and quantitatively.
Purpose of the Study:
- To review and assess the utility of nonwearable sensor-based in-home assessments for detecting early-stage MCI and AD.
- To compare digital assessment methods with traditional performance- and questionnaire-based evaluations.
Main Methods:
- A literature review focusing on nonwearable sensor-based in-home assessment studies for MCI and AD behavioral changes.
- Analysis of previous research employing traditional assessment methods for comparison.
Main Results:
- Nonwearable sensor-based in-home assessments provide more objective, quantitative, and realistic data on behavioral changes in MCI and AD patients.
- These digital methods show potential to replace or augment traditional assessments for early detection.
Conclusions:
- Subtle daily behavioral pattern changes detected by nonwearable sensors are promising early biomarkers for MCI and AD.
- Nonwearable sensor-based in-home assessment offers a viable approach for early detection and monitoring of neurodegenerative diseases.
