mne.io.read_raw_nicolet#

mne.io.read_raw_nicolet(input_fname, ch_type, eog=(), ecg=(), emg=(), misc=(), preload=False, verbose=None) → RawNicolet[source]#

Read Nicolet data as raw object.

..note:: This reader takes data files with the extension .data as an

input. The header file with the same file name stem and an extension .head is expected to be found in the same directory.

Parameters:
input_fnamepath-like

Path to the data file (ending with .data not .head).

ch_typestr

Channel type to designate to the data channels. Supported data types include 'eeg', 'dbs'.

eoglist | tuple | 'auto'

Names of channels or list of indices that should be designated EOG channels. If 'auto', the channel names beginning with EOG are used. Defaults to empty tuple.

ecglist or tuple | 'auto'

Names of channels or list of indices that should be designated ECG channels. If 'auto', the channel names beginning with ECG are used. Defaults to empty tuple.

emglist or tuple | 'auto'

Names of channels or list of indices that should be designated EMG channels. If 'auto', the channel names beginning with EMG are used. Defaults to empty tuple.

misclist or tuple

Names of channels or list of indices that should be designated MISC channels. Defaults to empty tuple.

preloadbool or str (default False)

Preload data into memory for data manipulation and faster indexing. If True, the data will be preloaded into memory (fast, requires large amount of memory). If preload is a string, preload is the file name of a memory-mapped file which is used to store the data on the hard drive (slower, requires less memory).

verbosebool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:
rawinstance of Raw

A Raw object containing the data.

See also

mne.io.Raw

Documentation of attributes and methods.

Examples using mne.io.read_raw_nicolet#

Importing data from EEG devices

Importing data from EEG devices