A study on sleep EEG Using sample entropy and power spectrum analysis
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...6) Sample Entropy: The sample entropy [36] is usually used to measure the complexity and regularity of a signal....
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Cites methods from "A study on sleep EEG Using sample e..."
...Whereas, classification of sleep stages of NREM and REM is mainly done by Rechtschaffen and Kales (R&K) rules to determine sleep characteristics [7]....
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...For the sleep stage classification, a Support Vector Machine (SVM) is used as the classification tool [7]....
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References
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"A study on sleep EEG Using sample e..." refers methods in this paper
...NREM sleep was divided into four stages namely: transitional sleep (stage 1), light sleep (stage 2), slow wave sleep (stages 3 and 4) and paradoxical sleep also known as the REM sleep [4-5]....
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"A study on sleep EEG Using sample e..." refers background in this paper
...It also makes use of soft margin to specify trade-off between hyperplane variations and the size of the margin [11]....
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"A study on sleep EEG Using sample e..." refers background in this paper
...Currently there is no analytical or empirical study that has made a conclusion on which a kernel function is the better than other kernels, therefore SVM performance varies with the choice of kernel and the task on hand [12]....
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