Heart rate and electrodermal activity during key driving events in older adult drivers with and without elevated amyloid burden

Amyloid positive older drivers exhibited relatively elevated HR responses while driving in more complex situations (at stop signs or heavier traffic). This pattern of driving behavior and accompanying physiological responses that account for participants' individual variability may indicate an early sign of cognitive change in older individuals with high amyloid burden. These attributes can be used as effective features to build a Machine Learning-based AD diagnosis tool to detect early-stage AD in older drivers.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.089686
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Heart rate and electrodermal activity during key driving events in older adult drivers with and without elevated amyloid burden

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Alzheimer s & Dementia
EEG and Brain-Computer Interfaces
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Heart rate and electrodermal activity during key driving events in older adult drivers with and without elevated amyloid burden

Bruno Giordani, Amanda Cook Maher, Emma Flynn, Robert A. Koeppe, Yi Lu Murphy, Jordan R Bross, Arun Kumar, Carol Persad
article en

Abstract

Amyloid positive older drivers exhibited relatively elevated HR responses while driving in more complex situations (at stop signs or heavier traffic). This pattern of driving behavior and accompanying physiological responses that account for participants' individual variability may indicate an early sign of cognitive change in older individuals with high amyloid burden. These attributes can be used as effective features to build a Machine Learning-based AD diagnosis tool to detect early-stage AD in older drivers.

Alzheimer s & DementiaVol. 20(S3)
University of Michigan (US), University of Michigan–Dearborn (US)
Openalex Percentile: Top 74%
EEG and Brain-Computer Interfaces
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