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Getting Errors when trying to processa and analyze ppg_signal using ppg_processa and ppg_analyze #957

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youngjaeheo2002 opened this issue Jan 27, 2024 · 2 comments
Open

Getting Errors when trying to processa and analyze ppg_signal using ppg_processa and ppg_analyze #957

youngjaeheo2002 opened this issue Jan 27, 2024 · 2 comments

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@youngjaeheo2002
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youngjaeheo2002 commented Jan 27, 2024 •
edited

Maybe someone could tell me what I'm doing wrong or maybe it's a bug...

I tried to run tihs piece of code.

 ppg_signal = ppg['ch2'].values
        ppg_signal = nk.ppg_clean(ppg_signal =ppg_signal,sampling_rate = 64,method = 'elgendi')

        df,info = nk.ppg_process(ppg_signal,sampling_rate =64)
        results = nk.ppg_analyze(data = df, sampling_rate = 64)

and I got these errors in the files

/home/heoyoun1/ENV/lib/python3.10/site-packages/neurokit2/hrv/hrv_nonlinear.py:474: NeuroKitWarning: DFA_alpha2 related indices will not be calculated. The maximum duration of the windows provided for the long-term correlation is smaller than the minimum duration of windows. Refer to the `scale` argument in `nk.fractal_dfa()` for more information.
  warn(
/home/heoyoun1/ENV/lib/python3.10/site-packages/neurokit2/complexity/entropy_multiscale.py:349: RuntimeWarning: invalid value encountered in scalar divide
  mse = np.trapz(mse) / len(mse)
/home/heoyoun1/ENV/lib/python3.10/site-packages/neurokit2/complexity/optim_complexity_k.py:134: RuntimeWarning: divide by zero encountered in divide
  normalization = (n - 1) / (np.floor((n - k_subrange) / k).astype(int) * k)
/home/heoyoun1/ENV/lib/python3.10/site-packages/neurokit2/complexity/optim_complexity_k.py:135: RuntimeWarning: invalid value encountered in multiply
  sets = (np.nansum(np.abs(np.diff(sig_values)), axis=1) * normalization) / k

Intel MKL ERROR: Parameter 6 was incorrect on entry to DGELSD.

---------------------------------------------------------------------------
LinAlgError                               Traceback (most recent call last)
Cell In[19], [line 48](vscode-notebook-cell:?execution_count=19&line=48)
     [45](vscode-notebook-cell:?execution_count=19&line=45) ppg_signal = nk.ppg_clean(ppg_signal =ppg_signal,sampling_rate = 64,method = 'elgendi')
     [47](vscode-notebook-cell:?execution_count=19&line=47) df,info = nk.ppg_process(ppg_signal,sampling_rate =64)
---> [48](vscode-notebook-cell:?execution_count=19&line=48) results = nk.ppg_analyze(data = df, sampling_rate = 64)
     [49](vscode-notebook-cell:?execution_count=19&line=49) '''
     [50](vscode-notebook-cell:?execution_count=19&line=50) df, info = nk.ppg_process(data,sampling_rate = 100)
     [51](vscode-notebook-cell:?execution_count=19&line=51) nk.ppg_analyze(data = df,sampling_rate = 100)
     [52](vscode-notebook-cell:?execution_count=19&line=52) '''
     [53](vscode-notebook-cell:?execution_count=19&line=53) break   

File [~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:113](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:113), in ppg_analyze(data, sampling_rate, method)
    [111](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:111)     duration = len(data) / sampling_rate
    [112](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:112) if duration >= 10:
--> [113](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:113)     features = ppg_intervalrelated(data, sampling_rate=sampling_rate)
    [114](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:114) else:
    [115](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:115)     features = ppg_eventrelated(data)

File [~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:64](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:64), in ppg_intervalrelated(data, sampling_rate)
     [62](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:62) if len(rate_cols) == 1:
     [63](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:63)     intervals.update(_ppg_intervalrelated_formatinput(data))
---> [64](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:64)     intervals.update(*_ppg_intervalrelated_hrv(data, sampling_rate))
     [65](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:65) else:
     [66](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:66)     raise ValueError(
...
File [~/ENV/lib/python3.10/site-packages/numpy/linalg/linalg.py:124](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/numpy/linalg/linalg.py:124), in _raise_linalgerror_lstsq(err, flag)
    [123](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/numpy/linalg/linalg.py:123) def _raise_linalgerror_lstsq(err, flag):
--> [124](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/numpy/linalg/linalg.py:124)     raise LinAlgError("SVD did not converge in Linear Least Squares")

LinAlgError: SVD did not converge in Linear Least Squares

Also i'll print out the data that was used as input

this is ppg_signal:

[0.29799772 0.29818196 0.29840656 0.29855292 0.29873463 0.29871444
 0.29880278 0.29889109 0.29895167 0.29921666 0.29933526 0.29942106
 0.29959015 0.29955229 0.2995296  0.29951193 0.2995296  0.29948164
 0.29959774 0.29969362 0.29990058 0.29991571 0.30004947 0.30011762
 0.30015294 0.30019333 0.30035735 0.3005441  0.30070309 0.30080405
 0.30091509 0.30104885 0.30117251 0.30135169 0.30145263 0.30148292
 0.30150561 0.30145263 0.30150311 0.3014501  0.30162171 0.30160405
 0.30168733 0.30180846 0.30182361 0.30184381 0.30184128 0.30186398
 0.30189176 0.30193718 0.30199017 0.30213402 0.30215925 0.30220467
 0.30219711 0.30216178 0.30206841 0.30209364 0.30227029 0.30229554
 0.30230058 0.30231824 0.30220217 0.30223749 0.30220217 0.30242424
 0.30248482 0.30254034 0.30257063 0.30203308 0.30012769 0.29769237
 0.29610498 0.2957037  0.29645828 0.29768731 0.2989769  0.29991571
 0.30058195 0.3009807  0.30124822 0.30145263 0.30154347 0.30161918
 0.30180846 0.30189933 0.30206335 0.30208354 0.3022072  0.30227282
 0.30242171 0.30236116 0.30241414 0.30245706 0.30234853 0.30241161
 0.302452   0.30243434 0.30238135 0.30235359 0.30238385 0.30229807
 0.30228038 0.3020886  0.30204569 0.30185894 0.30181855 0.30182865
 0.30177313 0.30185894 0.30177313 0.30166463 0.3014274  0.30136178
 0.30138198 0.30131887 0.30124822 0.30107913 0.30093275 0.30084694
 0.30062234 0.30049868 0.3005214  0.30048101 0.30056176 0.30043053
 0.30023875 0.30011762 0.29984253 0.29969615 0.29943369 0.2992747
 0.29922422 0.29912328 0.29901225 0.29904001 0.29890372 0.2987523
 0.29873463 0.29862863 0.29856808 0.29848984 0.29857311 0.29859331
 0.2985075  0.2983788  0.29835861 0.29827784 0.29812895 0.29805324
 0.2980482  0.29793717 0.29787912 0.29787912 0.29779835 0.29765198
 0.29764692 0.29764945 0.29763683 0.29759897 0.29754852 0.29745008
 0.29749047 0.29759897 0.29754852 0.29754345 0.29757121 0.29745261
 0.29739456 0.29743495 0.29762673 0.29771254 0.29783873 0.2978337
 0.2978463  0.29774536 0.29786649 0.29779331 0.29789931 0.29801288
 0.29797502 0.29789425 0.2978236  0.2977302  0.29761666 0.29766965
 0.29749047 0.29745008 0.2974955  0.29751823 0.29746524 0.29748037
 0.29741729 0.29732391 0.29741476 0.29741729 0.29741223 0.29750056
 0.29750309 0.29743495 0.29750309 0.29744252 0.29732642 0.29734408
 0.29733148 0.29734158 0.29722801 0.29710938 0.29704124 0.29705133
 0.29702107 0.29707153 0.29707153 0.29703117 0.29697562 0.29698322
 0.29696302 0.29691001 0.2970362  0.29698068 0.29699835 0.29699582
 0.29696049 0.29686206 0.29697312 0.29697815 0.29708162 0.29731632
 0.29725071 0.29736177 0.29729109 0.29707659 0.29734661 0.2974728
 0.29756871 0.2976116  0.29764945 0.29754345 0.29751066 0.2974728
 0.29750056 0.29735418 0.29738194 0.29744755 0.29747533 0.29762423
 0.2976015  0.29765198 0.29766712 0.29758888 0.2977075  0.29771003
 0.29777815 0.29779835 0.29800278 0.29814914 0.29817437 0.29825767
 0.29831569 0.2982829  0.29831569 0.2982728  0.29840656 0.29838133
 0.29841413 0.29848984 0.2985176  0.29864883 0.29864379 0.29869425
 0.2987296  0.29868921 0.29876239 0.29889868 0.29893654 0.29903495
 0.29921666 0.29918133 0.29913085 0.2990627  0.29924441 0.2993908
 0.29957502 0.29954726 0.29949931 0.29946651 0.29950184 0.29945135
 0.29942866 0.29959015 0.29959015 0.29956745 0.29946902 0.29939584
 0.29925451 0.29919646 0.29897943 0.29893401 0.2988381  0.29890119
 0.2987523  0.29877755 0.29867658 0.29854789 0.29841666 0.29823242
 0.2982829  0.29809109 0.29797502 0.29791191 0.29780341 0.29780088
 0.2977403  0.29758888 0.297387   0.29734408 0.29714977 0.29701854
 0.29699331 0.29690497 0.2968444  0.29674093 0.29667531 0.29668794
 0.29645828 0.29655418 0.29644567 0.2962589  0.2961731  0.29627659
 0.29631695 0.29636743 0.29642548 0.29627406 0.2962564  0.29614787
 0.29626649 0.29632958 0.29646081 0.29658447 0.29666522 0.29653905
 0.29660213 0.29661476 0.29667028 0.29667531 0.29678131 0.29698068
 0.29684946 0.29672832 0.29679141 0.29661726 0.29652138 0.29655924
 0.29648353 0.29643808 0.29650876 0.29635987 0.29643305 0.296375
 0.29634471 0.29644567 0.29639519 0.29640023 0.29643808 0.29643558
 0.29655165 0.29657437 0.29655671 0.29649613 0.296481   0.29642042
 0.29631192 0.29644314 0.29642295 0.29633211 0.29628919 0.29629929
 0.2962791  0.29628666 0.29628163 0.29630435 0.29631445 0.29634471
 0.29631948 0.29637247 0.29635734 0.29645071 0.29644061 0.29651379
 0.29648603 0.29644314 0.2963422  0.29630685 0.29640276 0.29652138
 0.29662989 0.29680654 0.29687975 0.29688225 0.29684693 0.29682926
 0.29696555 0.29702107 0.29712958 0.29723558 0.29709425 0.29704377
 0.29700088 0.29689741 0.29696302 0.29683179 0.29672326 0.29687215
 0.29685199 0.29696806 0.29692011 0.29692264 0.2968217  0.29688731
 0.29687215 0.29695796 0.29696049 0.29704124 0.29708919 0.29710688
 0.29718006 0.29717249 0.29717753 0.29697815 0.29711191 0.29708162
 0.29714977 0.29714724 0.2971548  0.29717753 0.29723558 0.2972482
 0.29723052 0.29738953 0.29743495 0.29753085 0.29758384 0.29769741
 0.29775545 0.29779584 0.29800528 0.29821222 0.29832328 0.29852769
 0.29855798 0.29855292 0.29873969 0.2989769  0.29928733 0.29949678
 0.29951444 0.29965576 0.29972897 0.29978449 0.29988039 0.29999646
 0.30018323 0.30032959 0.30045326 0.30047848 0.30033969 0.30037251
 0.30036998 0.30034473 0.30036998 0.3002867  0.3004053  0.30042044
 0.30054159 0.30054663 0.3005441  0.30050121 0.30048355 0.30051383
 0.30058448 0.30060215 0.30066776 0.30074853 0.30076873 0.30086713
 0.30078889 0.30077123 0.30069048 0.30066776 0.30064    0.3005542
 0.30057439 0.3005113  0.30048605 0.30051634 0.30048101 0.30035735
 0.30046082 0.30033969 0.30031446 0.30024379 0.30030687 0.30030183
 0.30024632 0.30026651 0.3004053  0.30042803 0.30043559 0.30037251
 0.30021856 0.30015547 0.30011256 0.30030183 0.30012265 0.30006208
 0.29992075 0.29979962 0.29966082 0.29959268 0.29944632 0.29945892
 0.29934788 0.29932769 0.29918133 0.29908037 0.29891634 0.29867155
 0.29845451 0.29829553 0.29794977 0.29780088 0.29762423 0.29738447
 0.29731129 0.29723558 0.29696049 0.29687468 0.29677122 0.29673336
 0.29680654 0.29687975 0.29692011 0.29700341 0.29692264 0.29687975
 0.29678637 0.29674346 0.29668288 0.29657941 0.29656931 0.29648603
 0.29649613 0.2964911  0.29642042 0.29646837 0.29646584 0.29651632
 0.29641032 0.29645828 0.29643808 0.29640782 0.29628919 0.29636996
 0.29640529 0.2965037  0.29642548 0.29641792 0.29635734 0.29622358
 0.29619329 0.29633461 0.29647847 0.29664502 0.29657184 0.29667281
 0.29665765 0.29669803 0.29668794 0.29672073 0.2968116  0.2969302
 0.29684946 0.29676365 0.29670057 0.29660466 0.2965971  0.29653148
 0.29646837 0.29645577 0.29644061 0.29653905 0.29651885 0.29645324
 0.29638006 0.29632958 0.2963851  0.2963649  0.29647594 0.29645577
 0.29644567 0.29653148 0.29644818 0.296481   0.29661979 0.29629425
 0.29630435 0.29616806 0.29620592 0.29617059 0.29609235 0.29606963
 0.29611001 0.29607722 0.29604693 0.29607972 0.29603177 0.29599645
 0.29599898 0.29597122 0.29609235 0.29603683 0.29608982 0.29618825
 0.29615543 0.29608982 0.29610748 0.29615293 0.29621095 0.29639772
 0.29662232 0.29663495 0.29664755 0.29663495 0.29669047 0.29688225
 0.29674599 0.29679897 0.29696806 0.29699582 0.29695546 0.29682926
 0.29682926 0.29670307 0.29670813 0.29668794 0.29667531 0.29680907
 0.29686712 0.29683179 0.29686459 0.2968444  0.29698825 0.29709929
 0.29713714 0.29725324 0.29721791 0.29731382 0.29737437 0.29745261
 0.29745008 0.297493   0.29745514 0.29750056 0.29745261 0.29745514
 0.29743748 0.29739962 0.2975056  0.29737943 0.29745765 0.29741729
 0.29746018 0.29741979 0.29760656 0.29735671 0.297493   0.29754598
 0.29755861 0.29758637 0.297493   0.29738194 0.2974097  0.29753336
 0.29777312 0.29773779 0.29768984 0.29753336 0.2975788  0.29760656
 0.29763179 0.29768227 0.29775039 0.29775292 0.2977277  0.29752579
 0.2974728  0.29740719 0.29721285 0.29706902 0.29685702 0.29701348
 0.29688225 0.29688984 0.2969176  0.29695293 0.29691254 0.29676365
 0.29663999 0.29658194 0.29657184 0.29645071 0.29651632 0.29651379
 0.29637753 0.29636237 0.29622358]

I've also tried to not clean the data before hand tried using ppg_clean as well.
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@youngjaeheo2002 youngjaeheo2002 changed the title G Getting Errors when trying to processa and analyze ppg_signal using ppg_processa and ppg_analyze Jan 27, 2024
@youngjaeheo2002
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I also tried to run this

data = nk.ppg_simulate(duration = 10,sampling_rate = 64)


        df,info = nk.ppg_process(data,sampling_rate =64)
        results = nk.ppg_analyze(data = df, sampling_rate = 64)

and I got this error in my notebook

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[20], [line 50](vscode-notebook-cell:?execution_count=20&line=50)
     [46](vscode-notebook-cell:?execution_count=20&line=46) data = nk.ppg_simulate(duration = 10,sampling_rate = 64)
     [49](vscode-notebook-cell:?execution_count=20&line=49) df,info = nk.ppg_process(data,sampling_rate =64)
---> [50](vscode-notebook-cell:?execution_count=20&line=50) results = nk.ppg_analyze(data = df, sampling_rate = 64)
     [51](vscode-notebook-cell:?execution_count=20&line=51) '''
     [52](vscode-notebook-cell:?execution_count=20&line=52) df, info = nk.ppg_process(data,sampling_rate = 100)
     [53](vscode-notebook-cell:?execution_count=20&line=53) nk.ppg_analyze(data = df,sampling_rate = 100)
     [54](vscode-notebook-cell:?execution_count=20&line=54) '''
     [55](vscode-notebook-cell:?execution_count=20&line=55) break   

File [~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:113](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:113), in ppg_analyze(data, sampling_rate, method)
    [111](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:111)     duration = len(data) / sampling_rate
    [112](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:112) if duration >= 10:
--> [113](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:113)     features = ppg_intervalrelated(data, sampling_rate=sampling_rate)
    [114](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:114) else:
    [115](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_analyze.py:115)     features = ppg_eventrelated(data)

File [~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:64](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:64), in ppg_intervalrelated(data, sampling_rate)
     [62](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:62) if len(rate_cols) == 1:
     [63](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:63)     intervals.update(_ppg_intervalrelated_formatinput(data))
---> [64](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:64)     intervals.update(*_ppg_intervalrelated_hrv(data, sampling_rate))
     [65](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:65) else:
     [66](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/ppg/ppg_intervalrelated.py:66)     raise ValueError(
...
    [333](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/complexity/fractal_dfa.py:333)         "NeuroKit error: the window cannot contain more data points than the time series. Decrease 'scale'."
    [334](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/complexity/fractal_dfa.py:334)     )
    [336](https://vscode-remote+ssh-002dremote-002bcedar-002ealliancecan-002eca.vscode-resource.vscode-cdn.net/home/heoyoun1/projects/def-alim/heoyoun1/ApneaProject/muse_feature_extraction/~/ENV/lib/python3.10/site-packages/neurokit2/complexity/fractal_dfa.py:336) return scale

ValueError: NeuroKit error: the window cannot contain more data points than the time series. Decrease 'scale'.

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