Our rapidly aging population will result in an increasing number of people at risk for loss of independence through dementia, frailty and other syndromes of aging. Evolving sensor and other technologies now provide a means of early detection and intervention minimizing morbidity and cost. We hypothesize that integrated, continuous and unobtrusive home monitoring of activity (motor and cognitive) can detect transitional or early signal events important for maintaining cognitive and physical health. To test our hypothesis and to further develop the resulting new clinical paradigm, lead institution Oregon Health & Science University (OHSU) will establish a novel Bioengineering Research Partnership (BRP) including OHSU's Layton Aging and Alzheimer's Disease Center, Biomedical Engineering Department, and Roybal Center, and industry partners Spry Learning, Elite Care, Pultronics, HomeFree, General Electric, Hewlett Packard and Intel. The overall effort will be led by Jeffrey Kaye of the OHSU Layton and Roybal Centers, along with bioengineering Lead Investigators Michael Pavel and Tamara Hayes. Lead Investigator, Eric Dishman from Intel will provide technology industry expertise and integration in concert with leaders from the other partners. This BRP will be dedicated to developing and testing in real world environments unobtrusive intelligent systems for integrating activities and clinical status and ultimately providing the key feedback necessary for instituting appropriate health maintenance, and illness prevention or intervention strategies. Thus our specific aims are to: 1) Determine if continuous, unobtrusive monitoring of motor and cognitive activities detects incident cognitive decline in seniors living in typical community settings; 2) Develop novel algorithms and assessment techniques for detecting motor and cognitive change in these community settings and in the context of the ongoing BRP, to test evolving sensor technology; and 3) Identify the monitoring needs of, and optimal communication channels, for lay individuals and health care professionals. As a result of this research this BRP will: establish a community living laboratory of homes outfitted with integrated sensing systems to determine early cognitive decline and identify the earliest points of cognitive change using this methodology; identify the optimal predictors and data fusion that will result in early detection; establish a fast track system for unobtrusively field-testing new sensor systems while an ongoing longitudinal study is conducted; and create a shared resource of data, expertise and community attitudes about the conduct and application of these continuous assessment techniques for future proactive application in health care. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
1R01AG024059-01A1
Application #
7010534
Study Section
Special Emphasis Panel (ZRG1-BDA-A (90))
Program Officer
Wagster, Molly V
Project Start
2006-05-01
Project End
2011-04-30
Budget Start
2006-05-01
Budget End
2007-04-30
Support Year
1
Fiscal Year
2006
Total Cost
$1,333,127
Indirect Cost
Name
Oregon Health and Science University
Department
Neurology
Type
Schools of Medicine
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
Leach, Julia M; Mancini, Martina; Kaye, Jeffrey A et al. (2018) Day-to-Day Variability of Postural Sway and Its Association With Cognitive Function in Older Adults: A Pilot Study. Front Aging Neurosci 10:126
Kaye, Jeffrey; Reynolds, Christina; Bowman, Molly et al. (2018) Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data. J Vis Exp :
Wardzala, Casia; Murchison, Charles; Loftis, Jennifer M et al. (2018) Sex differences in the association of alcohol with cognitive decline and brain pathology in a cohort of octogenarians. Psychopharmacology (Berl) 235:761-770
Seelye, Adriana; Mattek, Nora; Sharma, Nicole et al. (2018) Weekly observations of online survey metadata obtained through home computer use allow for detection of changes in everyday cognition before transition to mild cognitive impairment. Alzheimers Dement 14:187-194
Promjunyakul, Nutta-On; Dodge, Hiroko H; Lahna, David et al. (2018) Baseline NAWM structural integrity and CBF predict periventricular WMH expansion over time. Neurology 90:e2119-e2126
Boespflug, Erin L; Schwartz, Daniel L; Lahna, David et al. (2018) MR Imaging-based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength. Radiology 286:632-642
Brenowitz, Willa D; Keene, C Dirk; Hawes, Stephen E et al. (2017) Alzheimer's disease neuropathologic change, Lewy body disease, and vascular brain injury in clinic- and community-based samples. Neurobiol Aging 53:83-92
Brenowitz, Willa D; Hubbard, Rebecca A; Keene, C Dirk et al. (2017) Mixed neuropathologies and estimated rates of clinical progression in a large autopsy sample. Alzheimers Dement 13:654-662
Seelye, Adriana; Mattek, Nora; Sharma, Nicole et al. (2017) Passive Assessment of Routine Driving with Unobtrusive Sensors: A New Approach for Identifying and Monitoring Functional Level in Normal Aging and Mild Cognitive Impairment. J Alzheimers Dis 59:1427-1437
Akl, Ahmad; Snoek, Jasper; Mihailidis, Alex (2017) Unobtrusive Detection of Mild Cognitive Impairment in Older Adults Through Home Monitoring. IEEE J Biomed Health Inform 21:339-348

Showing the most recent 10 out of 67 publications