The objective of this proposal is to develop a methodology for unobtrusively measuring sleep disordered breathing (SDB) in a patient’s home. Specifically, we will develop algorithms for detecting SDB from data collected using load cells placed under the supports of the bed. Small movements in the body’s center of mass allow heart rate, breathing, and [...]
An assumption of in-home monitoring is that activities and behaviors of interest are accurately captured by systematically placed sensors. However, retrospective self-reports of significant events have been shown to be inaccurate in a variety of populations. Therefore, verification of sensor data currently relied on a less than perfect gold standard. The purpose of this protocol [...]
The overall objective of this pilot is to establish a new cohort for informing how technology may best be used to help facilitate independent aging. The pilot proposes to develop a unique methodology of creating a social network for research among retired engineers and to systematically evaluate the content of these informative interactions. This work [...]
The overall objective of this two-year pilot is to develop new real-time methodology for detecting changes in social interactions. A large self-contained high-rise elderly community, Mirabella Portland (MP), is currently being built in collaboration with ORCATECH and adjacent to OHSU. Over 250 households will move into this new community from single-family homes during 2010. This [...]
The overall objective of this pilot study is to increase our understanding of the value of technology-based health monitoring across different socio-economic groups. In the ORCATECH Living Laboratory, we have been able to document key objective activity measures in the home on an ongoing basis, including total activity in the home, time spent out of [...]
Abstract The aims of this project are to: (1) explore what cognitive changes are observed in elderly persons with heart failure (HF) with changes in selected physiologic parameters (SaO2, BP, and HR); (2) explore what activity/ behavioral changes are observed: a) with changes in the selected physiologic parameters, and b) when, within the timeframe of [...]
Abstract Clinical trials for dementia prevention are currently being conducted worldwide. The end-points for efficacy in these trials rely on detecting small cognitive changes. Consequently, years of follow-up observation and large sample sizes are needed to detect these changes, and thus current trial methodology is not optimal. ORCATECH investigators (J. Kaye and T. Hayes) are [...]
Abstract The focus of maintaining home independence is currently centered around residential spaces and the activity occurring within the home. This is a narrow view. An active person in fact may not spend much time in home and as a result may skew the view of their activity levels simply because their major periods of [...]
Abstract The primary goal of this project is to create automated speech-based versions of several standard neurocognitive assessment systems, capitalizing on pertinent expertise at OHSU’s Center for Spoken Language Understanding. Speech has significant usability advantages over other input modalities, such as keyboards, that are likely to be unfamiliar or motorically challenging for the elderly. The [...]
Abstract Goal being to determine clinically relevant gait and movement characteristics and a corresponding set of biomechanical and sensory-motor models. Also to develop a suite of inexpensive, distributed sensors and devices by modifying existing technology, by using COTS sensors with custom packaging and software, and new principled fusion algorithms for estimation of gait and mobility [...]
What the study is about This project is an NIH Biomedical Research Partnership Grant, titled Intelligent Systems for Detecting Aging Changes (5-year, $7 million project funded through National Institute on Aging: R01AG024059). This is a collaborative effort of medical and engineering faculty, as well as of academic and industry partners. The traditional model of periodic [...]
Abstract Changes in motor function may accompany or predict cognitive decline and onset of dementia. Therefore regular monitoring of motor function may help to provide early detection of incipient cognitive impairment at an early stage when intervention maybe most effective. However, the relationships among motor and cognitive function during aging are not well understood, and [...]
Abstract Clinical research into Alzheimer’s disease (AD) and the mild cognitive impairment (MCI) that precedes its full onset is increasingly focused on early diagnosis. Currently, the reliable clinical diagnosis of MCI requires expensive and time-consuming evaluations by skilled clinicians utilizing neuropsychological tests administered in person by trained psychometricians. Automation of these evaluations would allow frequent, [...]
Problem More than 75% of people aged 65 and older take prescription medication, and on average they take 3 or more medications a day. More than 50% of these individuals are non-adherent to their medication regimen, which can have tremendous impact on their health. The financial cost of this medication mismanagement is also significant, since [...]
Abstract The overall objective of this one-year pilot is to test our newly developed prototype software for monitoring computer interactions of elders in their residential environment for the ultimate purpose of detecting cognitive decline. This work will prepare us for a larger study to test the effectiveness of the approach. The specific aims for this [...]