<h2 align="center">Neuroscience made easy!</h2>
# NeuroKit.py
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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
Want to get involved in the developpment of an open-source software and improve neuroscience practice? **Join us!**
- 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.
## 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)
## Features
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.
- **[M/EEG](http://neurokit.readthedocs.io/en/latest/tutorials/EEG.html)** *(under developpment)*
- **[`eeg_erp()`](http://neurokit.readthedocs.io/en/latest/documentation.html#eeg_erp)**: Extract event-related potentials
- **[`eeg_complexity()`](http://neurokit.readthedocs.io/en/latest/documentation.html#eeg_complexity)**: Compute entropy, fractal dimension, and complexity indices
- Time/Frequency: **SOONâ„¢**
- Microstates: **SOONâ„¢**
- **[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)
- *Tonic and phasic components using the new cvxEDA algorithm ([Greco, 2016](https://www.ncbi.nlm.nih.gov/pubmed/26336110))*
- *Skin Conductance Responses (SCR) onsets, peaks, amplitudes, latencies, recovery times, ...*
- **[`emg_process()`](http://neurokit.readthedocs.io/en/latest/documentation.html#emg-process)**: Extract EMG features
- *Pulse onsets*
- *Linear envelope, muscle activation*
- **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
- **Miscellaneous**
- **[`compute_dprime()`](http://neurokit.readthedocs.io/en/latest/documentation.html#compute_dprime)**: Computes Signal Detection Theory (SDT) parameters (d', c, beta, a', b''d)
- **[`compute_BMI()`](http://neurokit.readthedocs.io/en/latest/documentation.html#compute_bmi)**: Compute the traditional body mass index (BMI), the new BMI, the Body Fat Percentage (BFP) and their interpretation
- **[`compute_interoceptive_accuracy()`](http://neurokit.readthedocs.io/en/latest/documentation.html#compute_interoceptive_accuracy)**: Compute interoception accuracy according to Garfinkel et al., (2015).
## 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!
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