neurokit 0.1.6

A Python Toolbox for Statistics and Signal Processing (EEG, EDA, ECG, EMG...).

<p align="center"><a href=http://neurokit.readthedocs.io/><img src="https://github.com/neuropsychology/NeuroKit.py/blob/master/docs/img/neurokit.png" width="400" align="center" alt="neurokit python eeg biosignals meg electrophysiology logo"></a></p>

<h2 align="center">Neuroscience made easy!</h2>


# NeuroKit.py
[](https://pypi.python.org/pypi/neurokit) [](https://pypi.python.org/pypi/neurokit) [](https://travis-ci.org/neuropsychology/NeuroKit.py) [](https://codecov.io/gh/neuropsychology/NeuroKit.py) [](https://dependencyci.com/github/neuropsychology/NeuroKit.py) [](https://github.com/neuropsychology/NeuroKit.py/blob/master/LICENSE) [](https://ci.appveyor.com/project/DominiqueMakowski/neurokit-py)

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).



|Name|NeuroKit|
|----------------|---|
|Documentation|[](http://neurokit.readthedocs.io/en/latest/?badge=latest)|
|Discussion|[](https://gitter.im/NeuroKit-py/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)|
|Questions|[](https://github.com/neuropsychology/NeuroKit.py/issues)|
|Authors|[](https://dominiquemakowski.github.io/)|

---


## Installation

Run the following:

```bash
pip install https://github.com/neuropsychology/NeuroKit.py/zipball/master
```

Not working? [Check this out](http://neurokit.readthedocs.io/en/latest/tutorials/Python.html)!


## Contribute
- You need some help? You found a bug? You would like to request a new feature?
Just open an [issue](https://github.com/neuropsychology/NeuroKit.py/issues) :relaxed:
- Want to add a feature? Correct a bug? You're more than welcome to contribute!
Check [this page](https://github.com/neuropsychology/NeuroKit.py/blob/master/CONTRIBUTING.md) to see how to submit your changes on github.

## Description

This package provides a high level integration of complex statistical routines for researchers and clinicians with not much experience in programming, statistics or signal theory.

Main features:

- **M/EEG**
- **[`read_eeg()`](http://neurokit.readthedocs.io/en/latest/documentation.html#read-eeg)**: Read and convert many EEG and MEG files to an [`mne.io.Raw`](http://martinos.org/mne/stable/generated/mne.io.Raw.html#mne.io.Raw) object
- Preprocessing: Under development
- ERP: Under development
- Time/Frequency: Under development
- Microstates: Under development
- **[Biosignals](http://neurokit.readthedocs.io/en/latest/tutorials/Bio.html)**
- **[`read_acqknowledge()`](http://neurokit.readthedocs.io/en/latest/documentation.html#read-acqknowledge)**: Load and convert Biopac:copyright:'s AcqKnowledge files to a dataframe
- **[`ecg_process()`](http://neurokit.readthedocs.io/en/latest/documentation.html#ecg-process)**: Extract ECG features
- *Heart Rate*
- *Heart rate variability (HRV) - time, frequency and nonlinear domains*
- *Cardiac Cycles - R peaks, RR intervals, P, Q, T Waves, ...*
- *Cardiac Phase (systole/diastole)*
- *Signal quality evaluation*
- *Respiratory sinus arrhythmia (RSA) - P2T method*
- *Complexity (multiscale entropy, fractal dimensions, ...)*
- **[`rsp_process()`](http://neurokit.readthedocs.io/en/latest/documentation.html#ecg-process)**: Extract Respiratory features
- *Respiratory rate and variability*
- *Respiratory phase (inspiration/expiration)*
- *Respiratory cycles characteristics (onsets, length, ...)*
- **[`eda_process()`](http://neurokit.readthedocs.io/en/latest/documentation.html#eda-process)**: Extract Electrodermal Activity (EDA)
- *Phasic component using the new cvxEDA algorithm ([Greco, 2016](https://www.ncbi.nlm.nih.gov/pubmed/26336110))*
- *Skin Conductance Responses (SCR) onsets, peaks, amplitudes, latency, rise time, ...*
- **[`emg_process()`](http://neurokit.readthedocs.io/en/latest/documentation.html#emg-process)**: Extract EMG features
- *Pulse onsets*
- **Signal**
- **[`complexity()`](http://neurokit.readthedocs.io/en/latest/documentation.html#complexity)**: Extract complexity/chaos indices, such as values of entropy (Shannon's, Sample and Multiscale), fractal dimension, Hurst and Lyapunov exponents and more
- **Statistics**
- **[`z_score()`](http://neurokit.readthedocs.io/en/latest/documentation.html#z-score)**: Normalize (scale and reduce) variables
- **[`find_outliers()`](http://neurokit.readthedocs.io/en/latest/documentation.html#find_outliers)**: Identify outliers
- **[`dprime()`](http://neurokit.readthedocs.io/en/latest/documentation.html#dprime)**: Computes Signal Detection Theory (SDT) parameters (d', c, beta, a', b''d)
- **Miscellaneous**
- **[`BMI()`](http://neurokit.readthedocs.io/en/latest/documentation.html#bmi)**: Compute the traditional body mass index (BMI), the new BMI, the Body Fat Percentage (BFP) and their interpretation






## Documentation

- [Tutorials](http://neurokit.readthedocs.io/en/latest/tutorials/index.html)
- [x] Biosignals processing
- [ ] M/EEG processing
- [API Documentation](http://neurokit.readthedocs.io/en/latest/documentation.html)


## Citation
You can cite NeuroKit with the following:
```
Makowski, D. (2016). NeuroKit: A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
Memory and Cognition Lab' Day, 01 November, Paris, France
```
*Note: The authors do not give any warranty. If this software causes your keyboard to blow up, your brain to liquefy, your toilet to clog or a zombie plague to leak, the authors CANNOT IN ANY WAY be held responsible.*

## Credits
Note that important credits go to the developpers of the many packages upon which NeuroKit is built. Those include [mne](http://mne-tools.github.io/stable/index.html), [bioSPPy](https://github.com/PIA-Group/BioSPPy), [hrv](https://github.com/rhenanbartels/hrv), [bioread](https://github.com/njvack/bioread)... Make sure you cite them!