Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG

Author:

Leino Akseli1ORCID,Korkalainen Henri1ORCID,Kalevo Laura1ORCID,Nikkonen Sami1ORCID,Kainulainen Samu1ORCID,Ryan Alexander2,Duce Brett2ORCID,Sipila Kirsi3,Ahlberg Jari4,Sahlman Johanna5,Miettinen Tomi6,Westeren-Punnonen Susanna7,Mervaala Esa7,Toyras Juha1,Myllymaa Sami1ORCID,Leppanen Timo1ORCID,Myllymaa Katja7ORCID

Affiliation:

1. Department of Applied Physics, University of Eastern Finland, Kuopio, Finland

2. Department of Respiratory and Sleep Medicine, Sleep Disorders Centre, Princess Alexandra Hospital, Brisbane, QLD, Australia

3. Research Unit of Oral Health Sciences, University of Oulu, Oulu, Finland

4. Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland

5. Department of Otorhinolaryngology, Kuopio University Hospital, Kuopio, Finland

6. Department of Oncology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

7. Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland

Funder

Academy of Finland

Research Committee of the Kuopio University Hospital Catchment Area for the State Research Funding

Suomen Kulttuurirahasto

Hengityssairauksien Tutkimussti

Business Finland

Horizon 2020 Framework Programme

Pivikki ja Sakari Sohlbergin Sti

PohjoisSavon Rahasto

Tampereen Tuberkuloosisti

Suomen Tuberkuloosin Vastustamisyhdistyksen Sti

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

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