News & Events

Publication: Predicting Orthostatic Symptoms Using a Multiparameter Wearable Sensor

Authors: Ziad A Elhajjaji, Amar S Basu Abstract Orthostatic disorders affect 30% of older adults and increase the risk for falls. The current diagnostic standard, the blood pressure cuff, cannot capture the rapid, multifaceted dynamics of orthostasis physiology, resulting in frequent underdiagnosis. This paper demonstrates multiparameter, real-time measurement of orthostasis using TRACE, an earlobe mounted wearable developed in our group. In prior work, we demonstrated a novel metric called orthostatic hypovolemia (OHV1), the initial loss in cephalic (head) blood volume immediately upon standing. This study significantly advances our prior work by introducing an additional 2 metrics: OHV2, the cephalic blood volume deficit after the body achieves homeostasis after standing; and postural orthostatic tachycardia (POT), the increase in heart rate. The 3 metrics were evaluated in 101 older adults who wore the TRACE device during postural…

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Past Webinar – Practical Cognitive Assessment Methods for AD/ADRD Research Projects

https://youtu.be/4weOZ9Tf-Og?si=lzfkLGsUZVZSseRz Abstract:  This webinar will examine cognitive assessment methods in Alzheimer’s Disease (AD) and Alzheimer’s Disease-Related Dementias (ADRD) research, featuring insights from neuropsychology, geriatric psychiatry, and digital health technology. Panelists will highlight the challenges of accurate screening across diverse populations and settings, from community-based studies to clinical trials. Presentations will explore traditional tools like the MoCA and CDR alongside emerging digital approaches using speech AI, wearable sensors, and web-based platforms. Discussions will emphasize demographic influences, functional measures, and resource considerations in selecting appropriate screening strategies. Case studies will illustrate lessons learned in real-world pilot projects, including practice effects, scalability barriers, and the integration of cognitive and functional assessments.Attendees will gain a nuanced understanding of current and future cognitive screening tools and how to apply them effectively in research and clinical contexts. About the Speakers:  Kathryn…

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Past Webinar – Unlocking Success: FDA Regulatory Strategies for AgeTech Devices and AI

https://www.youtube.com/watch?v=0dpRR_cDPPs Abstract:  This webinar explores regulatory strategies for bringing AgeTech devices and AI innovations to market under FDA oversight. Panelists provided an overview of FDA pathways, including 510(k), De Novo, and Pre-Market Approval (PMA), highlighting how device classification and intended use shape regulatory requirements. Discussion emphasized unique challenges for software as a medical device (SaMD), clinical decision support (CDS) tools, and AI/ML-enabled technologies, including validation standards and cybersecurity mandates. Speakers underscored the importance of aligning regulatory strategy with business models and offered guidance on leveraging Pre-Submission processes and breakthrough device designation to accelerate approval. Real-world insights from wearable device development illustrated the complexities of clinical validation, reimbursement planning, and risk-based regulation.You will gain practical knowledge on navigating FDA processes to responsibly develop and deploy AgeTech innovations for older adults. About the Speakers:  Ameet Sarpatwari, PhD,…

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Publication: Oscillometric blood pressure measurements on smartphones using vibrometric force estimation

Authors: Colin Barry, Yinan Xuan, Ava Fascetti, Alison Moore, Edward J Wang Abstract This paper proposes a smartphone-based method for measuring Blood Pressure (BP) using the oscillometric method. For oscillometry, it is necessary to measure (1) the pressure applied to the artery and (2) the local blood volume change. This is accomplished by performing an oscillometric measurement at the finger's digital artery, whereby a user presses down on the phone's camera with steadily increasing force. The camera is used to capture the blood volume change using photoplethysmography. We devised a novel method for measuring the force applied of the finger without the use of specialized smartphone hardware with a technique called Vibrometric Force Estimation (VFE). The fundamental concept of VFE relies on a phenomenon where a vibrating object is dampened when an external force is…

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Oral Presentation: NIA workshop – Leveraging Adaptive Technology (“Just-in-Time”) Interventions for Aging and Alzheimer’s Disease and Alzheimer’s Disease-related Dementias

Dr. Inbal Billie Nahum-Shani (PI) presented work from this pilot project during a talk titled "Adaptive interventions and JITAIs as decision policies: What and why?" as part of Session 1 - Digital adaptive interventions: decision-focused evidence production held on October 16, 2024. Source: NIA Event Page

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Publication: ACM 2024 Conference Proceeds – Development of a One Dollar Blood Pressure Monitor

Authors: Yinan Xuan, Ava J. Fascetti, Colin Barry, Edward J. Wang Abstract BPClip is an ultra-low-cost cuffless blood pressure monitor. As a universal smartphone attachment, BPClip leverages the computational imaging power of smartphones to perform oscillometry based blood pressure measurements. This paper examines different design considerations in BPClip's development. The cost and accuracy of blood pressure measurements are the central design goals. Both requirements are achieved with the initial prototype that achieves a 0.80 USD material cost and a mean absolute error of 8.72 and 5.49 mmHg for systolic and diastolic blood pressure, respectively. Since a main motivator to develop BPClip is making blood pressure monitoring more accessible, usability is also central to the design. User studies were conducted throughout the design process to inform the most intuitive and accessible design features. In this paper,…

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Award: Gold Winner at McKnight’s Tech Awards in Falls Prevention, Management or Detection Category

The Gold went to Butlr and Ranagard Community for “Butlr: AI for earlier intervention.” By passively monitoring movement patterns via thermal sensors, Butlr Care alerts staff members when residents need assistance. The sensors detect movement but are purposely designed to be unable to capture any personally identifiable information. At Ranagard Community, 2,500 Butlr sensors were installed across 700 apartments. The return on investment has been evident in time and cost savings, increased revenue, better use of staff and a reduction in falls. Source: https://www.mcknightsseniorliving.com/news/gurwin-takes-best-of-show-as-2024-mcknights-tech-awards-honors-dozens-of-winners/

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