Using artificial neural network for sleep/wake discrimination from wrist activity: preliminary results
暂无分享,去创建一个
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.
[1] Paul Naitoh,et al. Monitoring Activity With a Wrist-Worn Actigraph: Effects of Amplifier Passband and threshold Variations , 1993 .
[2] D. J. Mullaney,et al. Automatic sleep/wake identification from wrist activity. , 1992, Sleep.
[3] D F Kripke,et al. Wrist-actigraphic estimation of sleep time. , 1980, Sleep.