NeuroKit.py

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Cubic interpolation for frequency domain

3

Hello In bio_ecg.ecg_hrv you interpolate the RR intervals to convert to continuous RR interval before extracting the frequency domain features. You are doing this using a third order (i.e. cubic)...

Eichhof

Baseline correcting signal

6

Hello I have a 7 minute nature video recording at the beginning of my experiment which I would like to use as baseline for my EDA and RR signal. Currently...

Eichhof

Filtering for EDA

3

Hi Before applying the cvxEDA algorithm you are filtering the signal. According to the cvxEDA paper this is not necessary: "As a result, the method does not require pre-processing of...

Eichhof

Looking for help to implement artifacts detection for EDA. Some ressources: - https://github.com/MITMediaLabAffectiveComputing/eda-explorer - http://eda-explorer.media.mit.edu/info/

DominiqueMakowski

NeuroKit Warning: ecg_hrv(): Correlation Dimension. Error: NeuroKit warning: complexity_entropy_multiscale(): Signal might be to short to compute SampEn for scale factors > 0. Setting max_scale_factor to 0.

23

I am giving the data in form of 1D numpy array which is basically i, ii, iii, v1, v2, v3, v4, v5, v6, avr, avl, avf features from PTB database....

Sanjay1995

> "Finally, to assist in clinical classification, we extracted two simple features of MSE curves, the slopes for small and large time scales, i.e., the slopes of the curves defined...

DominiqueMakowski

DominiqueMakowski

Very different orders of magnitude in ECG output

1

Hi Dominique! So I ran NeuroKit on some ECG data that I've collected, and I have vastly different orders of magnitude across participants for the output relating to power in...

eleanor-hanna

Window size for EDA and HRV

3

Hi there, I'm using EDA and HRV features. I'm extracting these features for each stimulus by positioning a window at the start of the stimulus (I think including data before...

Eichhof

ecg_find_peaks method imposes the use of an hamilton segmenter.

1

Instead of [this](https://github.com/neuropsychology/NeuroKit.py/blob/a000fa92c037948288ea37dff166f002eea7648b/neurokit/bio/bio_ecg_preprocessing.py#L241) which imposes an Hamilton segmenter, I would suggest to implement the [part present in `ecg_preprocess` doing the same job](https://github.com/neuropsychology/NeuroKit.py/blob/a000fa92c037948288ea37dff166f002eea7648b/neurokit/bio/bio_ecg_preprocessing.py#L104-L125) in the `ecg_find_peaks` method and call it from...

lamourj