Sleep stage estimation by learning classifier system towards care support for aged persons

Author

Hirose, Kazuyuki ; Matsushima, Hiroyasu ; Hattori, Kiyohiko ; Takadama, Keiki

Author_Institution

Univ. of Electro-Commun., Tokyo, Japan

fYear

2009

fDate

18-21 Aug. 2009

Firstpage

2716

Lastpage

2721

Abstract

This paper proposes the sleep stage estimation method that can provide more accurate estimation than the conventional method and is robust to bad condition of humans without connecting any devices to human´s body. Our proposed method can extract the specific wave pattern required to estimate the sleep stage from heart beat data. Through the intensive simulations by using the actual data of the human subjects, the following implications have been revealed: (1) the proposed method can provide more accurate sleep stage estimation than the conventional methods, and (2) he sleep stage estimation is robust to the bad physical conditions.

Keywords

biomedical measurement; geriatrics; health care; learning (artificial intelligence); medical computing; pattern classification; sleep; aged person care support; bad physical condition; heart beat data; human subject; intensive simulation; learning classifier system; sleep stage estimation method; wave pattern; Aging; Sleep; care support; heartbeat; learning classifier system; sleep stage estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

ICCAS-SICE, 2009

Conference_Location

Fukuoka

Print_ISBN

978-4-907764-34-0

Electronic_ISBN

978-4-907764-33-3

Type

conf

Filename

5333373