I am analysing the EEG data to classify the Rapid Eye Movement Behaviour Disorder and control health patients. I have to separate the sleep interval from EEG data.
It should be in your dataset annotation. Normally the dataset contain full night EEG for indivudual patient. And the annotation may contain the each sleep stage or diseases like sleep apnea. Annotation can be sample wise or segmented (30s or 60s). And you can alawys remove bad signal from the data.
Actually, I have got the data in EDF format and that doesn't have annotation at all. I am bit confused that how can I separate the sleep and non-sleep data. I have search for this problem, but couldn't find any proper method. Is it worthful that I use band pass filter in order to take delta, theta and alpha waves (during sleep) from time series EEG data?
Hi Shahzeb,
If you got the data as EDF Format, you need a system what can deal with this data format, and edit wake and sleep phases in 30 sec epochs. Otherwise, you should convert the EDF data format for your polysomnography system - if you have one. In this case, the best you contact your system PSG) provider. Hope it will help you.
Greetings János
bonsoir monsieur Shahzeb Shahzeb
est se que vous pouvais me donner le lien où vous avez eu ses donné
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