EasySense

Contact-less Physiological Sensing in the Mobile Environment

Examination of mechanisms of self-regulatory function via both passive physiological sensing and ecological momentary assessment (EMA) in laboratory settings.

Grant/Award: NSF-IIS-1231754
IRB Protocol: 1502S63161
Study PI: Dr. Mustafa al’Absi, University of Minnesota

Institutions:

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Devices Used in Data Collection:

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STUDY PARTICIPATION

Participants

Person-days of Data

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MD2K Center of Excellence

FedEx Institute of Technology, Suite 335

365 Innovation Drive, Memphis, TN 38152

info@md2k.org901-678-1526

About us

Advancing biomedical discovery and improving health through mobile sensor Big Data

The MD2K Team aims to lay the scientific foundations for turning the wealth of mobile sensor data available through new and rapidly evolving wearable sensors into reliable and actionable health information, and contribute to the vision of predictive, preventive, personalized, participatory, and precision (P5) medicine.

Copyright © 2022 MD2K. MD2K was established by the National Institutes of Health Big Data to Knowledge Initiative (Grant #1U54EB020404)