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reference:ft_senstype [2018/08/23 14:43] (current)
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 +=====  FT_SENSTYPE =====
 +
 +Note that this reference documentation is identical to the help that is displayed in MATLAB when you type "help ft_senstype"​.
 +
 +<​html><​pre>​
 +  <a href=/​reference/​ft_senstype><​font color=green>​FT_SENSTYPE</​font></​a>​ determines the type of acquisition device by looking at the channel
 +  names and comparing them with predefined lists.
 + 
 +  Use as
 +    [type] = ft_senstype(sens)
 +  or
 +    [flag] = ft_senstype(sens,​ desired)
 + 
 +  The output type can be any of the following
 +    '​ctf64'​
 +    '​ctf151'​
 +    '​ctf151_planar'​
 +    '​ctf275'​
 +    '​ctf275_planar'​
 +    '​bti148'​
 +    '​bti148_planar'​
 +    '​bti248'​
 +    '​bti248_planar'​
 +    '​bti248grad'​
 +    '​bti248grad_planar'​
 +    '​itab28'​
 +    '​itab153'​
 +    '​itab153_planar'​
 +    '​yokogawa9'​
 +    '​yokogawa64'​
 +    '​yokogawa64_planar'​
 +    '​yokogawa160'​
 +    '​yokogawa160_planar'​
 +    '​yokogawa440'​
 +    '​neuromag122'​
 +    '​neuromag122_combined'​
 +    '​neuromag306'​
 +    '​neuromag306_combined'​
 +    '​babysquid74' ​        this is a BabySQUID system from Tristan Technologies
 +    '​artemis123' ​         this is a BabySQUID system from Tristan Technologies
 +    '​magview' ​            this is a BabySQUID system from Tristan Technologies
 +    '​egi32'​
 +    '​egi64'​
 +    '​egi128'​
 +    '​egi256'​
 +    '​biosemi64'​
 +    '​biosemi128'​
 +    '​biosemi256'​
 +    '​ant128'​
 +    '​neuralynx'​
 +    '​plexon'​
 +    '​artinis'​
 +    '​nirs'​
 +    '​meg'​
 +    '​eeg'​
 +    '​ieeg'​
 +    '​seeg'​
 +    '​ecog'​
 +    '​eeg1020'​
 +    '​eeg1010'​
 +    '​eeg1005'​
 +    '​ext1020' ​            in case it is a small subset of eeg1020, eeg1010 or eeg1005
 + 
 +  The optional input argument for the desired type can be any of the above, or any of
 +  the following generic classes of acquisition systems
 +    '​eeg'​
 +    '​ieeg'​
 +    '​ext1020'​
 +    '​ant'​
 +    '​biosemi'​
 +    '​egi'​
 +    '​meg'​
 +    '​meg_planar'​
 +    '​meg_axial'​
 +    '​ctf'​
 +    '​bti'​
 +    '​neuromag'​
 +    '​yokogawa'​
 +    '​itab'​
 +    '​babysquid'​
 +  If you specify the desired type, this function will return a boolean flag
 +  indicating true/false depending on the input data.
 + 
 +  Besides specifiying a sensor definition (i.e. a grad or elec structure, see
 +  <a href=/​reference/​ft_datatype_sens><​font color=green>​FT_DATATYPE_SENS</​font></​a>​),​ it is also possible to give a data structure containing a grad
 +  or elec field, or giving a list of channel names (as cell-arrray). So assuming that
 +  you have a FieldTrip data structure, any of the following calls would also be fine.
 +    ft_senstype(hdr)
 +    ft_senstype(data)
 +    ft_senstype(data.label)
 +    ft_senstype(data.grad)
 +    ft_senstype(data.grad.label)
 + 
 +  See also <a href=/​reference/​ft_senslabel><​font color=green>​FT_SENSLABEL</​font></​a>,​ <a href=/​reference/​ft_chantype><​font color=green>​FT_CHANTYPE</​font></​a>,​ <a href=/​reference/​ft_read_sens><​font color=green>​FT_READ_SENS</​font></​a>,​ <a href=/​reference/​ft_compute_leadfield><​font color=green>​FT_COMPUTE_LEADFIELD</​font></​a>,​ <a href=/​reference/​ft_datatype_sens><​font color=green>​FT_DATATYPE_SENS</​font></​a>​
 +</​pre></​html>​