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Activity Number: 635 - Monitoring Health Behaviors with Multi-Sensor Mobile Technology
Type: Invited
Date/Time: Thursday, August 1, 2019 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract #300612
Title: Translational Biomarkers for Quality of Sleep
Author(s): Dmitri Volfson* and Brian Tracey and Derek Buhl and Tamas Kiss
Companies: Takeda and Tufts and Takeda and Hungarian Academy of Sciences
Keywords: wearable; sleep; translational; fusion; heart rate; actigraphy

Here we present two collaborative efforts utilizing supervised learning to develop tools for preclinical and early clinical biomarker discovery, which provide robust quantification of translatable biomarkers derived from the sleep architecture. First, we describe a robust automated method for polysomnography utilizing EEG & EMG signals. It works across species, mice, rats and non-human primates, and across experiments and labs. Second, we present an approach which combines measurements of activity and heart rate variability to improve sleep-wake activity endpoints and enable scalable longitudinal monitoring in clinical trials.

Authors who are presenting talks have a * after their name.

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