Classification of Sleep Stages Based on Electrocardiography Using a Hybrid Deep Learning Approach



Title:	Classification of Sleep Stages Based on Electrocardiography Using a Hybrid Deep Learning Approach Univaiheiden luokittelu sydänsähkökäyrästä syväoppivilla neuroverkoilla
Author(s):	Anttila, Tommi
Date:	2022-12-13
Language:	en
Pages:	68+6
Major/Subject:	Systems and Operations Research
Degree programme:	Master’s Programme in Mathematics and Operations Research
Supervising professor(s):	Ilmonen, Pauliina
Thesis advisor(s):	Kumpula, Ossi
Keywords:	sleep staging, electrocardiography analysis, heart rate variability, deep learning, self-attention
Location:	Archive OEV
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Permanent link to this item: http://urn.fi/URN:NBN:fi:aalto-202212187076 Email this Export to RefWorks QR Code Print BibTex Tweet