Pervasive computing technologies to continuously assess Alzheimer's disease progression and intervention efficacy

Bayard E. Lyons, Daniel Austin, Adriana Seelye, Johanna Petersen, Jonathan Yeargers, Thomas Riley, Nicole Sharma, Nora Mattek, Katherine Wild, Hiroko Dodge, Jeffrey Kaye

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

Traditionally, assessment of functional and cognitive status of individuals with dementia occurs in brief clinic visits during which time clinicians extract a snapshot of recent changes in individuals' health. Conventionally, this is done using various clinical assessment tools applied at the point of care and relies on patients' and caregivers' ability to accurately recall daily activity and trends in personal health. These practices suffer from the infrequency and generally short durations of visits. Since 2004, researchers at the Oregon Center for Aging and Technology (ORCATECH) at the Oregon Health and Science University have been working on developing technologies to transform this model. ORCATECH researchers have developed a system of continuous in-home monitoring using pervasive computing technologies that make it possible to more accurately track activities and behaviors and measure relevant intra-individual changes. We have installed a system of strategically placed sensors in over 480 homes and have been collecting data for up to 8 years. Using this continuous in-home monitoring system, ORCATECH researchers have collected data on multiple behaviors such as gait and mobility, sleep and activity patterns, medication adherence, and computer use. Patterns of intra-individual variation detected in each of these areas are used to predict outcomes such as low mood, loneliness, and cognitive function. These methods have the potential to improve the quality of patient health data and in turn patient care especially related to cognitive decline. Furthermore, the continuous real-world nature of the data may improve the efficiency and ecological validity of clinical intervention studies.

Original languageEnglish (US)
Article number102
JournalFrontiers in Aging Neuroscience
Volume7
Issue numberJUN
DOIs
StatePublished - 2015

Fingerprint

Disease Progression
Alzheimer Disease
Technology
Research Personnel
Health
Point-of-Care Systems
Loneliness
Aptitude
Medication Adherence
Ambulatory Care
Gait
Cognition
Caregivers
Dementia
Patient Care
Sleep
Efficiency

Keywords

  • Aging in place
  • Dementia
  • gait
  • In-home monitoring
  • Medication adherence
  • Sleep
  • Smart home
  • Technologies

ASJC Scopus subject areas

  • Aging
  • Cognitive Neuroscience

Cite this

Pervasive computing technologies to continuously assess Alzheimer's disease progression and intervention efficacy. / Lyons, Bayard E.; Austin, Daniel; Seelye, Adriana; Petersen, Johanna; Yeargers, Jonathan; Riley, Thomas; Sharma, Nicole; Mattek, Nora; Wild, Katherine; Dodge, Hiroko; Kaye, Jeffrey.

In: Frontiers in Aging Neuroscience, Vol. 7, No. JUN, 102, 2015.

Research output: Contribution to journalArticle

Lyons, Bayard E. ; Austin, Daniel ; Seelye, Adriana ; Petersen, Johanna ; Yeargers, Jonathan ; Riley, Thomas ; Sharma, Nicole ; Mattek, Nora ; Wild, Katherine ; Dodge, Hiroko ; Kaye, Jeffrey. / Pervasive computing technologies to continuously assess Alzheimer's disease progression and intervention efficacy. In: Frontiers in Aging Neuroscience. 2015 ; Vol. 7, No. JUN.
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