[Mne_analysis] Error while reading snirf data

[郭垒]

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Dear everyone!
I am trying to use the mne_nirs module to process my fNIRS data. My device is NIRx and it provides snirf output. However, when I use the function mne.io.read_raw_snirf( ), it threw a valueError.  Here below is my error log:


data1 = mne.io.read_raw_snirf('./whu0001_001/whu0001_001.snirf',preload=True)
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
c:\Users\GuoLei\Desktop\test_wtc\data_preprocess.py in 
----> 7 data1 = mne.io.read_raw_snirf('./whu0001_001/whu0001_001.snirf',preload=True)


D:\Softwares\Anaconda3\envs\data_analysis\lib\site-packages\mne\io\snirf\_snirf.py in read_raw_snirf(fname, preload, verbose)
     45     mne.io.Raw : Documentation of attribute and methods.
     46     """
---> 47     return RawSNIRF(fname, preload, verbose)
     48 
     49 


<decorator-gen-250> in __init__(self, fname, preload, verbose)


D:\Softwares\Anaconda3\envs\data_analysis\lib\site-packages\mne\io\snirf\_snirf.py in __init__(self, fname, preload, verbose)
    270                     else:
    271                         extra_ps[f'EEG{len(extra_ps) + 1:03d}'] = diglocs[idx]
--> 272                 info['dig'] = _make_dig_points(nasion=nasion, lpa=lpa, rpa=rpa,
    273                                                hpi=hpi, dig_ch_pos=extra_ps,
    274                                                coord_frame=_frame_to_str[


D:\Softwares\Anaconda3\envs\data_analysis\lib\site-packages\mne\io\_digitization.py in _make_dig_points(nasion, lpa, rpa, hpi, extra_points, dig_ch_pos, coord_frame)
    375         lpa = np.asarray(lpa)
    376         if lpa.shape != (3,):
--> 377             raise ValueError('LPA should have the shape (3,) instead of %s'
    378                              % (lpa.shape,))
    379         dig.append({'r': lpa, 'ident': FIFF.FIFFV_POINT_LPA,


ValueError: LPA should have the shape (3,) instead of (4,)
---------------------------------------------------------------------------


I really have no idea what "LPA" is. I used this function before on another data set (recorded from the same device) and it worked well.  Does anyone have a solution to this error? Thanks advance!
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