misleep 0.2.3b0

MiSleep: Mice Sleep EEG/EMG visualization, scoring and analysis.

MiSleep

MiSleep is for EEG/EMG signal processing and visualization

Get start

pip install misleep==0.2.2b0

Find the directory where you installed misleep, run

python -m misleep

New features

1. New data structure

You can save the original data as a new data structure (See Data save protocol). Where you can add the channels' name, sampling rate and the acquisition time into the original data.

2. Annotate more details

Here we provide the start_end mode as a more precise way to annotate the event such as Slow Wave Activities or Spindle, e.t. You can select the Start-End mode in the Annotation tool dock and click wherever in the signal area to annotate the event.

2. Tool bar dock

Now you can move the toolbar to wherever you want.

3. Color for state

Different color background for different sleep states. Now the color map is:

Init: White; NREM: Orange; REM: Blue; Wake: Red.

Future: you can self-define the color for each sleep state.

Data save protocol

You need to use matlab for data saving, the final data should be a structure.

If you are using TDT for recording, here is the example script to save the data.

tdt_data = ...

data.EEG_F = tdt_data.streams.EEG1.data(1, :);
data.EEG_P = tdt_data.streams.EEG1.data(2, :);
data.EEG_DIFF = data.EEG_F - data.EEG_P
data.EMG_1 = tdt_data.streams.EMG1.data(1, :);
data.EMG_2 = tdt_data.streams.EMG1.data(2, :);
data.EMG_DIFF = data.EMG_1 - data.EMG_2;
data.REF = data.streams.mou1.data(1, :);
data.channels = {'EEG_F' 'EEG_P' 'EEG_DIFF' 'EMG_1' 'EMG_2' 'EMG_DIFF' 'REF'}
data.sf = {305.1758 305.1758 305.1758 305.1758 305.1758 305.1758 305.1758}
data.time = {'20240409-18:00:00'}

And an example of result data: