Year 2 Pilots

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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Award: Recognition as most comprehensive monitoring system for older adults from National Council on Aging (2025)

Experts from the National Council on Aging (NCOA) have selected the Top 5 Home Monitoring Systems for older adults for the year 2025 and Livindi has been named the most comprehensive solution currently on the market. The pros of their solution were noted as the affordability, the variety of sensors available (including bed sensor and activity tracker), accessibility to telehealth, the favorable return policy (30-day return window), connectivity options (both Wi-Fi and cellular), and easy self installation. What they said: "The Livindi home monitoring system works well for people who want to participate in their own health monitoring, as some of the devices, like the weight scale and blood pressure monitor, require users to take their own daily measurements. That said, many of the sensors, like the motion and door monitors, work passively in the…

Continue ReadingAward: Recognition as most comprehensive monitoring system for older adults from National Council on Aging (2025)

Grant Funding: U01: Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approaches

PROJECT SUMMARY/ABSTRACT Alzheimer's disease (AD) is the most common form of dementia characterized by progressive loss of cognitive function. Unfortunately, currently there is no effective treatment for AD and clinical interventions of AD have largely failed despite enormous efforts. For the current application, we seek to develop multimodal machine learning models by leveraging the rich collection of AD-related omics data and phenotypical data recently generated from large-scale collaborative projects such as Alzheimer Disease Neuroimaging Initiative (ADNI), Accelerating Medicines Partnership-AD (AMP-AD) and the Alzheimer's Disease Sequencing Project (ADSP). Three aims will be pursued in the current application. Aim 1. We will build an expandable multimodal unsupervised machine learning framework to investigate AD heterogeneity. Given the multifactorial nature of AD, we will perform AD subtyping by harnessing the rich information across multiple spectrum of data. Aim 2.…

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Grant Funding: R21 AG088872

Title: Characterizing autonomic impairments in Frontotemporal Dementia This R21 builds upon the tech ready cohort that was established by the pilot project funding. Public Health Relevance Statement: This proposal will test the accuracy and reliability of autonomic measurements in bvFTD patients. Measurements will be collected both with established equipment and via at-home devices to assess the validity of the latter. Finally, autonomic measurements will be correlated to socioemotional dysfunction in patients. Source: R21 AG088872 (NIH RePORTER)

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Oral Presentation: Alzheimer’s Association International Conference 2024 – Technology and Dementia Preconference

Archna Bhatia presented" Intelligent Cognitive Assistant leveraging natural language processing to provide word retrieval" at the a2 Collective Session at the Technology and Dementia Pre-conference.

Continue ReadingOral Presentation: Alzheimer’s Association International Conference 2024 – Technology and Dementia Preconference