Patent: Circadian Sensor System

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

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Poster Presentation: <conference name>

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…

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Patent: Systems and methods for estimation of Parkinson’s Disease gait impairment severity from videos using MDS-UPDRS

Many embodiments of the invention include systems and methods for evaluating motion from a video, the method includes identifying a target individual in a set of one or more frames in a video, analyzing the set of frames to determine a set of pose parameters, generating a 3D body mesh based on the pose parameters, identifying joint positions for the target individual in the set of frames based on the generated 3D body mesh, predicting a motion evaluation score based on the identified join positions, providing an output based on the motion evaluation score. U.S. Patent 11,918,370 Issued March 5, 2024

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