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Editorial
. 2022 Mar 2:4:845879.
doi: 10.3389/fdgth.2022.845879. eCollection 2022.

Editorial: Machine Learning and Wearable Technology in Sleep Medicine

Timo Leppänen  1   2   3 , Carolina Varon  4 , Massimiliano de Zambotti  5 , Sami Myllymaa  1   2
Affiliations
Editorial

Editorial: Machine Learning and Wearable Technology in Sleep Medicine

Timo Leppänen et al. Front Digit Health. .
No abstract available

Keywords: artificial intelligence; deep learning; digital health; machine learning; sleep disorders; sleep medicine; wearable sensors.

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Conflict of interest statement

TL has received research funding from the European Union's Horizon 2020 Research and Innovation Programme (grant 965417), the Academy of Finland (project 323536), Nordforsk (NordSleep project 90458) via Business Finland (5133/31/2018), and the Research Committee of the Kuopio University Hospital Catchment Area for the State Research Funding (projects 5041767 and 5041794). CV has received research funding from the European Space Agency, Belspo (Prodex-NEPTUNE). MZ was employed by SRI International, has received research funding unrelated to this work from Noctrix Health, Inc. and Lisa Health Inc., is a co-founder of Lisa Health Inc., and has ownership of shares in Lisa Health. SM has received research funding from Nordforsk (NordSleep project 90458) via Business Finland (5133/31/2018) and the Research Committee of the Kuopio University Hospital Catchment Area for the State Research Funding (project 5041797).

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  • Editorial on the Research Topic Machine Learning and Wearable Technology in Sleep Medicine

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