ROME, March 12, 2022 /PRNewswire/ — Fullpower Technologies, the leader in person/patient-generated sleep health data with the Sleeptracker-AI Platform, will announce new studies using its Sleeptracker-AI smart bed at World Sleep 2022, the 16th international meeting of the World Sleep Congress in Rome from March 11th-16th.
Dr. Clete Kushida and collaborators will present results of the following studies:
A Comparison of Estimated Sleep-Wake Patterns Obtained from a Large U.S. Sample by Home-Based Under-Mattress Monitoring Devices Before and After the Start of the COVID-19 Pandemic
- Authors: C. Kushida2, A. Cotton-Clay3, S. Baron3, L. Fava3, V. Easwar3, A. Kinsolving3, P. Kahn3, J. Zitser Koren2, A. Rama4, F. Ding2
Estimated Sleep-Wake Patterns Obtained from a Large U.S. Sample by Home-Based Under-Mattress Monitoring Devices
- Authors: J. Zitser Koren2,5, A. Cotton-Clay3, V. Easwar3, A. Kinsolving3, P. Kahn3, C.A. Kushida2
Polysomnographic validation of an under-mattress monitoring device in estimating sleep architecture and obstructive sleep apnea in adults
- Authors: F. Ding2, A. Cotton-Clay3, L. Fava3, V. Easwar3, A. Kinsolving3, P. Kahn3, A. Rama4, C. Kushida2
2 Stanford University, Division of Sleep Medicine, Stanford, United States
3 Fullpower Technologies, Inc., Santa Cruz, United States
4 The Permanente Medical Group, San Jose, United States
5 Sourasky Medical Center, Tel Aviv, Israel
About Sleeptracker-AI: The Sleeptracker-AI platform delivers the first in-home, non-invasive, automatic, long-term sleep analysis solution, together with all the necessary data science tools and analytical dashboards powered by AI. www.sleeptracker.com
About Fullpower-AI: Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. www.fullpower.com
For more information, visit www.fullpower.com, or contact BusDev@fullpower.com.
1 Patient Generated Health Data, HealthIT.gov https://www.healthit.gov/topic/scientific-initiatives/pcor/patient-generated-health-data-pghd