[Eeglablist] Approximate Entropy values very low

[Cedric Cannard]

Hi Lizzy,

(adding back the eeglablist in case it's helpful to others)

Can you please submit an issue on the github page with the screenshots?

https://urldefense.com/v3/__https://github.com/amisepa/get_entropy__;!!Mih3wA!HT04HyIgFzwEE_IAl94Sk6C7Qp8SHhogeJaXKA-Y4yS3v0ePHtkQJxG8F65QFJspqMrQGqBHIGMlKtTngi5wAVcgfw$ 

I will work on this plugin again soon, it's been a while! I have some improvements to add as well.

Thanks,
Cedric Cannard

On Tuesday, March 26th, 2024 at 7:18 AM, Lizzy Blundon <eblundon at gmail.com> wrote:

> Thanks Cedric!
>
> So far fuzzy entropy has been giving me values that are more in line with the literature.
>
> I tried the multiscale fuzzy entropy but I get this error:
> [image.png]
>
> Similarly, tried refined composite multiscale fuzzy entropy, and I get this error:
> [image.png]
>
> Used default parameters for both. Any suggestions? Something to do with my EEGLAB preferences perhaps?
>
> Thanks!
>
> L
>
> On Fri, Mar 22, 2024 at 9:29 PM Cedric Cannard via eeglablist <eeglablist at sccn.ucsd.edu> wrote:
>
>> Hi Lizzy,
>>
>> Did you use default parameters (e.g. embedding dimension m and tolerance r)?
>> In get_entropy(), the EEG signal is z-scored, and r is estimated on the standard deviation of the signal, following some recommendations.
>> https://urldefense.com/v3/__https://github.com/amisepa/get_entropy/blob/98488048e6aa54af570aaf2d82377f5af0684a58/get_entropy.m*L221__;Iw!!Mih3wA!GiseWTo2tQTr3IvYtQFZQAd-zJlMUriv9NVKg9N-_3cgGY9gS83kFKAQmda_cbP_xIjqjwS8Vl4z8fpYNfJh0Ewcng$
>> This may explain the differences with "typical" ranges in the literature.
>> However, there is no real official guidelines for estimating entropy measures, and these methods are supposed to be better for noisy biosginals.
>>
>> You could try to remove the scoring on that line and see if you get values closer to what you are used to see. Let me know!
>>
>> Fuzzy entropy is actually recommended, but it takes longer to compute.
>>
>> See:
>> https://urldefense.com/v3/__https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5644759/__;!!Mih3wA!GiseWTo2tQTr3IvYtQFZQAd-zJlMUriv9NVKg9N-_3cgGY9gS83kFKAQmda_cbP_xIjqjwS8Vl4z8fpYNfI2-PIfYQ$
>> https://urldefense.com/v3/__https://hal.science/hal-02267711/document__;!!Mih3wA!GiseWTo2tQTr3IvYtQFZQAd-zJlMUriv9NVKg9N-_3cgGY9gS83kFKAQmda_cbP_xIjqjwS8Vl4z8fpYNfLR8wlO7Q$
>>
>> Hope this helps
>>
>> Cedric Cannard, PhD
>>
>> On Friday, March 22nd, 2024 at 10:40 AM, Lizzy Blundon via eeglablist <eeglablist at sccn.ucsd.edu> wrote:
>>
>>> Hi there,
>>>
>>> I just tried out get_entropy.m on 345 s of resting state data, 19
>>> electrodes, filtered between 3 and 45 Hz. My ApEn values are very low
>>> (~0.1). Any idea why that might be?
>>>
>>> Thank you!
>>>
>>> Lizzy
>>>
>>> --
>>> Elizabeth G. Blundon, Ph.D.
>>> Research Fellow
>>> Nova Scotia Health Authority
>>> Dalhousie University
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>
> --
>
> Elizabeth G. Blundon, Ph.D.
> Research Fellow
> Nova Scotia Health Authority
> Dalhousie University