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.