We propose to further develop, field test, and commercialize a reliable and robust sensor technology that allows the objective assessment of daily physical activity, risk of falling, frailty, and activity organization among older adults in he home and community. This is a Phase IIB STTR application. During Phases I&II BioSensics, LLC, in collaboration with the Interdisciplinary Consortium on Advanced Motion Performance and the Arizona Center on Aging at the University of Arizona, developed and clinically validated sophisticated signal processing algorithms and associated sensor hardware to monitor physical activity and falls in older adults using a single motion sensor (tri-axial accelerometer) worn on the torso or as a pendant. Our Phase I/II work resulted in two commercially available products. PAMSys(tm) is a wearable sensor platform for long-term monitoring of activity related parameters that are of significant importance for objective assessment of physical activity, functioning, frailty, and fall risk of older adults. PAMSys(tm) is primarily a research tool with broad applicatons in pharmaceutical clinical trials and other comparative outcomes clinical research. ActivePERS(tm) is a low-cost medical alert pendant with automatic fall detection, activity monitoring, and non-compliance alerts. ActivePERS(tm) is a consumer product that has been commercialized through 9 on-going partnerships with companies in the telehealth and medical alert markets. With this Phase IIB project we propose to improve our ActivePERS(tm) technology to enable long-term remote monitoring of fall risk and frailty status. An objective method for earl diagnosis, intervention and remote monitoring of the risk of falling/frailty using physical activit telemonitoring and feedback has not yet been developed. Such technology could be used to identify patterns indicative of early changes allowing early diagnosis and intervention of at-risk elders. In addition, it will enable remote and continuous screening of the risk of falling/frailty during daily life, supporting autonomy and quality of life, and limiting the need for clinical intervention. Moreover, the technology can provide an objective tool to evaluate the effects of rehabilitation on motor function, and hence on reductions in the risk of falling/frailty based on te relative efficacy of different interventions. There is a significant commercialization potential fo the proposed technology due to 1) the size of the market, 2) the disruptive nature of our first-to-market technology, and 3) the ongoing national push towards increased efforts towards fall prevention. We will have a market-ready device by the completion of this project with plans for a market launch during Phase III.
As baby boomers age, and their expected life span increases, the number of U.S. elders aged 65 and over will dramatically rise, producing unprecedented need for effective, low cost diagnosis, treatment and monitoring of home and community-dwelling elders. This study aims to develop and commercialize a novel wearable technology for activity monitoring of elders using a single and easily wearable sensor. The proposed technology allows remote and continuous clinimetrically relevant screening of elder's risk of falling as well as early detection and targeted intervention of those at risk of frailty.
|Zhou, He; Lee, Hyoki; Lee, Jessica et al. (2018) Motor Planning Error: Toward Measuring Cognitive Frailty in Older Adults Using Wearables. Sensors (Basel) 18:|
|Zhou, He; Razjouyan, Javad; Halder, Debopriyo et al. (2018) Instrumented Trail-Making Task: Application of Wearable Sensor to Determine Physical Frailty Phenotypes. Gerontology :1-12|
|Bahureksa, Lindsay; Najafi, Bijan; Saleh, Ahlam et al. (2017) The Impact of Mild Cognitive Impairment on Gait and Balance: A Systematic Review and Meta-Analysis of Studies Using Instrumented Assessment. Gerontology 63:67-83|
|Parvaneh, Saman; Mohler, Jane; Toosizadeh, Nima et al. (2017) Postural Transitions during Activities of Daily Living Could Identify Frailty Status: Application of Wearable Technology to Identify Frailty during Unsupervised Condition. Gerontology 63:479-487|
|Zhou, He; Sabbagh, Marwan; Wyman, Rachel et al. (2017) Instrumented Trail-Making Task to Differentiate Persons with No Cognitive Impairment, Amnestic Mild Cognitive Impairment, and Alzheimer Disease: A Proof of Concept Study. Gerontology 63:189-200|
|Mohler, M Jane; Wendel, Christopher S; Taylor-Piliae, Ruth E et al. (2016) Motor Performance and Physical Activity as Predictors of Prospective Falls in Community-Dwelling Older Adults by Frailty Level: Application of Wearable Technology. Gerontology 62:654-664|
|Toosizadeh, Nima; Stocker, Hannah; Thiede, Rebecca et al. (2016) Alterations in gait parameters with peripheral artery disease: The importance of pre-frailty as a confounding variable. Vasc Med 21:520-527|
|Toosizadeh, Nima; Harati, Homayoon; Yen, Tzu-Chuan et al. (2016) Paravertebral spinal injection for the treatment of patients with degenerative facet osteoarthropathy: Evidence of motor performance improvements based on objective assessments. Clin Biomech (Bristol, Avon) 39:100-108|
|Thiede, Rebecca; Toosizadeh, Nima; Mills, Joseph L et al. (2016) Gait and balance assessments as early indicators of frailty in patients with known peripheral artery disease. Clin Biomech (Bristol, Avon) 32:1-7|
|Melville, David M; Mohler, Jane; Fain, Mindy et al. (2016) Multi-parametric MR imaging of quadriceps musculature in the setting of clinical frailty syndrome. Skeletal Radiol 45:583-9|
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