Poster Presentation: a2 National Symposium 2024
Title: Validating Novel Sleep Sensors and Devices in Older Adults Authors: Matthew Cucinotta, Kyle Kainec, Mary Emma Searles, Rebecca Spencer
Title: Validating Novel Sleep Sensors and Devices in Older Adults Authors: Matthew Cucinotta, Kyle Kainec, Mary Emma Searles, Rebecca Spencer
Title: In-home Cognitive Improvement Training using EEG-NFB Authors: Will Clegern, Nooshin Taheri, Thomas Lambert, Hassan Ghasemzadeh, Lonnie Nelson, Robert Hager
Title: Intelligent Cognitive Assistant for Word Retrieval Support for Older Adults with Incipient ADRD Authors: Archna Bhatia, Roger Care, William de Beaumont, Lingyu Gan, Misha Pavel, Peter Pirelli, George Sperling
Title: Validating an AI-enhanced remote patient monitoring platform for orthostatic vital signs Authors: Amar Basu & Michael Busa
Source: https://www.linkedin.com/posts/amarbasu_remotepatientmonitoring-agetech-wearables-activity-7178610115787304960-7aWy?utm_source=share&utm_medium=member_desktop
US Patent office granted a patent to Blue Iris on March 19, 2024 for their Circadian Sensor System. A circadian health system (CHS) provides for improving the health of Alzheimer’s patients and other persons by controlling their exposure to circadian lighting. Circadian sensor devices (CSDs) are distributed in a living space, e.g., at about about eye-level positions on respective walls of room. Each CSD includes a spectral sensor for measuring the intensity of light at various wavelength bands. Captured spectra can be compared to circadian light signatures so that the sources of circadian light can be identified. The identifications then allow predetermined high-resolution, e.g., 5nm, spectra in the circadian wavelengths of 450-500 nm to be determined. The spectra can then be used to control circadian lighting to provide prescribed doses of circadian stimulus. Source: https://ppubs.uspto.gov/api/pdf/downloadPdf/11931172?requestToken=eyJzdWIiOiI0MzBhYjExNC00OTI0LTRjYjYtYWFkYy0yOGZjOTM2MDM2YjMiLCJ2ZXIiOiJhYzg0ODU3OS02NGRmLTRhNTgtYmZmOS0yNDlmNTFiMTQ2ODciLCJleHAiOjB9
Title: Accelerometer-Measured Physical Activity Improves Predictive Validity of Fried Frailty Phenotype for All-Cause and Cardiovascular Disease Mortality: UK Biobank Authors: Lingsong Kong, Dae Hyun Kim, Chi Hyun Lee, Cassandra N. Spracklen, Susan R. Sturgeon, John R. Sirard, Amanda E. Paluch Abstract: Introduction: Fried Frailty Phenotype (FFP) is a widely used frailty measure defined by five criteria: unintentional weight loss, exhaustion, slowness, weakness, and low physical activity (PA). Low PA is typically assessed by self-report, which is less accurate than accelerometer-based measures. This study examined whether accelerometer-measured PA improves the predictive validity of FFP for mortality. Hypothesis: Frail and prefrail older adults would have higher risks of all-cause and cardiovascular disease (CVD) mortality than robust individuals. FFP incorporating accelerometer-measured PA would show stronger associations with mortality than that using self-reported PA. Methods: This prospective cohort study included 38,429 UK Biobank older adults (mean…