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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Oral Presentation: Novel Technological Approaches for Detection of Cognitive and Functional Impairment

This is part of the monthly MassAITC webinar series. Abstract:  This webinar explored cutting-edge technologies aimed at improving early detection and monitoring of cognitive and functional impairments in older adults. Dr. Kate Papp (Mass General Brigham) opened the session by highlighting the challenges of traditional clinical assessments—lengthy, labor-intensive, and inaccessible to many—and the promise of scalable, remote, and ecologically valid digital tools to address the growing needs of an aging population. Three MassAITC pilot awardees presented innovative approaches: Dr. Eric Larson (Sonde Health) discussed testing a vocal biomarker platform that leverages AI to detect and monitor cognitive impairment via smartphone-based voice samples collected in home environments. Early findings show high participant engagement and promising accuracy in distinguishing cognitive status. Dr. Jennifer Stamps (Rendever) shared progress on a multimodal virtual reality (VR) fitness platform that combines physical exercise,…

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Application of Sentiment Analysis and Generative Language Algorithms to Kinto, a Support Service for Family Caregivers of Persons Living with ADRD

Joseph Chung, Kinto. The Kinto pilot project explored how AI technologies—specifically sentiment analysis and generative language models—could enhance support for family caregivers of individuals living with Alzheimer’s and related dementias (ADRD).

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