Neurokit

Latest version: v0.2.0

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0.2

Breaking changes
- Many!!!
- Append "complexity_" to all complexity function names (e.g., `entropy_shannon` -> `complexity_entropy_shannon`) (**since 0.2.0**) [32](https://github.com/neuropsychology/NeuroKit.py/pull/32)
- `read_acqknowledge` new parameter, `return_sampling_rate`. Default to False to keep old behaviour, but default will be changed to True in the future (**since 0.2.0**) [32](https://github.com/neuropsychology/NeuroKit.py/pull/32)


New functions / parameters
- Many!!!
- `eeg_complexity`: First attempt to compute complexity features of epochs (**since 0.2.0**) [32](https://github.com/neuropsychology/NeuroKit.py/pull/32)
- `emg_process`: Computes linear envelope and activation (**since 0.2.0**) [32](https://github.com/neuropsychology/NeuroKit.py/pull/32)

Major changes
- Many!!!

Minor changes
- Many!!!


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0.1

Breaking changes
- EventRelated functions for biosignals: complete overhaul (**since 0.1.93**) [30](https://github.com/neuropsychology/NeuroKit.py/pull/30)
- `eda_process()`: Completely refactored that function, removed many parameters. (**since 0.1.92**) [29](https://github.com/neuropsychology/NeuroKit.py/pull/29)
- `ecg_wave_detector()`: removed the plot parameter (**since 0.1.7**) [22](https://github.com/neuropsychology/NeuroKit.py/pull/22)
- `indentify_outliers` changed to `find_outliers` to start creating some coherence in the API (using prefixes like `find_`, `read_`, `compute_`, `process_`, `plot_` etc.) (**since 0.1.6**) [19](https://github.com/neuropsychology/NeuroKit.py/pull/19)
New functions / parameters
- `eda_scr()`: Created own algorithm for SCR features extraction. (**since 0.1.92**) [29](https://github.com/neuropsychology/NeuroKit.py/pull/29)
- Allow the user to skip some steps such as HRV or signal quality computation (**since 0.1.91**) [28](https://github.com/neuropsychology/NeuroKit.py/pull/28)
- Added new QRS segmenter (pekkanen) method (**since 0.1.7**) [22](https://github.com/neuropsychology/NeuroKit.py/pull/22)
Major changes
- Enhanced HRV processing: computes HRV frequency domain power over time (**since 0.1.8**) [24](https://github.com/neuropsychology/NeuroKit.py/pull/24)
Minor changes
- Better separation between `ecg_preprocess` and `ecg_process` (and short vs long computation processes) (**since 0.1.7**) [21](https://github.com/neuropsychology/NeuroKit.py/pull/21)
- Completely Separated bio_ecg and bio_ecg_preprocessing files (**since 0.1.7**) [22](https://github.com/neuropsychology/NeuroKit.py/pull/22)
- Introducing CHANGELOG (**since 0.1.6**) [19](https://github.com/neuropsychology/NeuroKit.py/pull/19)
- Added segmenter choice option for ecg processing (**since 0.1.6**) [20](https://github.com/neuropsychology/NeuroKit.py/pull/20)
- Improved CONTRIBUTING.md (**since 0.1.6**) [19](https://github.com/neuropsychology/NeuroKit.py/pull/19)
- Structural changes (**since 0.1.6**) [19](https://github.com/neuropsychology/NeuroKit.py/pull/19)
- Increase tests (**since 0.1.6**) [19](https://github.com/neuropsychology/NeuroKit.py/pull/19)

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