choi2018: Convolutional neural network for real-time apnea-hypopnea...
In rsleep: Analysis of Sleep Data
choi2018 R Documentation
Convolutional neural network for real-time apnea-hypopnea event detection during sleep
Description
Keras implementation of the deep learning architecture described by Choi & Al in "Real-time apnea-hypopnea event detection during sleep by convolutional neural network".
Usage
choi2018(segment_size = 160)
Arguments
segment_size
Integer. The size of the segment to predict.
Value
A Keras sequential model.
References
Choi SH, Yoon H, Kim HS, et al. Real-time apnea-hypopnea event detection during sleep by convolutional neural networks. Computers in Biology and Medicine. 2018;100:123-131.
rsleep documentation built on Nov. 6, 2023, 1:06 a.m.
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| choi2018 | R Documentation |
Convolutional neural network for real-time apnea-hypopnea event detection during sleep
Description
Keras implementation of the deep learning architecture described by Choi & Al in "Real-time apnea-hypopnea event detection during sleep by convolutional neural network".
Usage
choi2018(segment_size = 160)
Arguments
segment_size |
Integer. The size of the segment to predict. |
Value
A Keras sequential model.
References
Choi SH, Yoon H, Kim HS, et al. Real-time apnea-hypopnea event detection during sleep by convolutional neural networks. Computers in Biology and Medicine. 2018;100:123-131.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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