Initial Proposal Abstract: This academic-industrial partnership between UMass Amherst and CGX Systems will develop AI techniques for sleep staging in seniors (>65 years) using multimodal data from two wearable devices. We will validate a wearable EEG headband and a smartwatch for sleep staging and characterization in the elderly. Sleep disturbances are among the earliest observable symptoms of Alzheimer’s disease (AD). While many wearables are available for sleep monitoring, most studies are based on young subjects. Our work will impact early identification of seniors at risk of AD, opening up a large elderly market for wearable devices like EEG headbands and smartwatches.

Outcomes:

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  Grant Funding: R01 AG082354June 25, 2024
  Title: Genomics-guided sleep biomarker discovery for early Alzheimer’s disease: A wearables study This R01 builds upon the technology and algorithms for sleep-based metrics developed in the MassAITC pilot project, utilizing the same EEG device. It shifts the study from a general AD-risk factor population to a genetic AD-risk factor population.… Read more: Grant Funding: R01 AG082354
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  An academic-industrial partnership for AI-based sleep staging in the elderly using an EEG headband and a smartwatchMarch 26, 2024
  Joyita Dutta, UMass Amherst. This project will develop AI techniques for at-home sleep staging in seniors using multimodal data from EEG headband and smartwatch devices.