 | Classification Of Sleep Disorders |
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Question: What is the DETAILED biomedical meaning of improving EEG-based sleep staging classification accuracy by 10%?This is what I see in a paper:EEG-based sleep staging is the task of classifying EEG sleep recordings into sleep stages (e.g., wake, REM sleep, NREM sleep) continuously. This task is crucial for the diagnosis and treatment of various sleep disorders.The above description is high-level and one cannot see exactly how sleep disorders are diagnized through sleep staging. I have seen many papers on improving the classification accuracy of sleep staging but none of them clearly describes the biomedical meaning of such improvement. Suppose a new method can improve real-time continuous classification accuracy by 10%, then what is the biomedical meaning (eg, can it improve the diagnosis and treatment of various sleep disorders and how)? Sleep staging is one task. The same new method may classify EEG signals into various kinds of states for different application purposes. I want to know the details of what people can do by improving the EEG classification accuracy and why.
Answer: Diagnosing sleep disorders often depends on interpreting the pattern of stages of sleep. For example, does the sleep disorder amount to short, frequent unremembered awakenings, or is the sleep disorder due to a paucity of deep (delta) sleep.
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