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
fDate :
29 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.747066
