Presented " Quality Management Framework for an Automated, Phone-Based Telehealth Platform for Cognitive Rehabilitation Therapy" at the ASHA Conference in Seattle, WA on November 11, 2024 Source: https://plan.core-apps.com/asha2024/event/6a3d638ef5896a352b49fbfd8b5f1248
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…
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
Abstract: Adaptive treatment assignment algorithms, such as bandit and reinforcement learning algorithms, are increasingly used in digital health interventions. Between implementation of the digital health intervention, data analyses are critical for producing generalizable knowledge and deciding how to update the intervention for the next implementation. However the replicability of these between-implementation data analyses has received relatively little attention. This work investigates the replicability of statistical analyses from data collected by adaptive treatment assignment algorithms. We demonstrate that many standard statistical estimators can be inconsistent and fail to be replicable across repetitions of the clinical trial, even as the sample size grows large. We show that this non-replicability is intimately related to properties of the adaptive algorithm itself. We introduce a formal definition of a 'replicable bandit algorithm' and prove that under such algorithms, a wide variety of common statistical analyses are guaranteed to be consistent.…
At the International Summit on Sensors and Sensing Technology (ISSST) 2024 in Edinburgh, UK Source: https://www.spectrumconferences.com/2024/issst#sessions
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,…
Title: Neural mechanisms of gait disturbances as individualized digital biomarker trajectories in preclinical dementia Public Health Relevance Statement: In this project, the research team uncovers the neural mechanisms of gait and mobility disturbances in preclinical dementia and identifies trackable individualized digital biomarkers (from videos). They evaluate the specificity and sensitivity of these gait-based biomarkers and relate those to neural mechanisms and clinical phenotypes. By leveraging these identified markers, they can monitor the disease's progression, potentially minimizing or even replacing the demand for expensive neuropsychological or neuroimaging evaluations. Source: R01AG089169 (NIH RePORTER)