DocumentCode
333700
Title
Using artificial neural network for sleep/wake discrimination from wrist activity: preliminary results
Author
Shi, Yuhui ; Eberhart, Russell
Author_Institution
Dept. of Electr. Eng., Purdue Sch. of Eng. & Technol., Indianapolis, IN, USA
Volume
3
fYear
1998
fDate
29 Oct-1 Nov 1998
Firstpage
1113
Abstract
In this paper, we investigate the possibility of using artificial neural networks for discrimination of sleep from wakefulness. Several feature extraction methods are employed. The preliminary results show that the artificial neural networks are good candidates for the task
Keywords
Newton method; backpropagation; bioelectric potentials; feature extraction; feedforward neural nets; medical signal processing; sleep; Newton method; actigraph; artificial neural network; feature extraction methods; simultaneous EEG data; sleep from wakefulness discrimination; sleep/wake discrimination; three-layer backpropagation network; wrist activity; Approximation algorithms; Artificial neural networks; Electroencephalography; Feature extraction; Humans; Monitoring; Neurons; Sleep; Transfer functions; Wrist;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location
Hong Kong
ISSN
1094-687X
Print_ISBN
0-7803-5164-9
Type
conf
DOI
10.1109/IEMBS.1998.747066
Filename
747066
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