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"description": "\n# BioSPPy - Biosignal Processing in Python\n\n*A toolbox for biosignal processing written in Python.*\n\n[![Image](https://github.com/PIA-Group/BioSPPy/raw/master/docs/logo/logo_400.png \"I know you're listening! - xkcd.com/525\")](http://biosppy.readthedocs.org/)\n\nThe toolbox bundles together various signal processing and pattern recognition\nmethods geared towards the analysis of biosignals.\n\nHighlights:\n\n- Support for various biosignals: BVP, ECG, EDA, EEG, EMG, Respiration\n- Signal analysis primitives: filtering, frequency analysis\n- Clustering\n- Biometrics\n\nDocumentation can be found at: \n\n## Installation\n\nInstallation can be easily done with `pip`:\n\n```bash\n$ pip install biosppy\n```\n\n## Simple Example\n\nThe code below loads an ECG signal from the `examples` folder, filters it,\nperforms R-peak detection, and computes the instantaneous heart rate.\n\n```python\nfrom biosppy import storage\nfrom biosppy.signals import ecg\n\n# load raw ECG signal\nsignal, mdata = storage.load_txt('./examples/ecg.txt')\n\n# process it and plot\nout = ecg.ecg(signal=signal, sampling_rate=1000., show=True)\n```\n\nThis should produce a plot similar to the one below.\n\n[![Image](https://github.com/PIA-Group/BioSPPy/raw/master/docs/images/ECG_summary.png \"ECG Summary Plot\")]()\n\n## Dependencies\n\n- bidict\n- h5py\n- matplotlib\n- numpy\n- scikit-learn\n- scipy\n- shortuuid\n- six\n\n## Citing\nPlease use the following if you need to cite BioSPPy:\n\n- Carreiras C, Alves AP, Louren\u00e7o A, Canento F, Silva H, Fred A, *et al.*\n **BioSPPy - Biosignal Processing in Python**, 2015-,\n https://github.com/PIA-Group/BioSPPy/ [Online; accessed ```--```].\n\n```latex\n@Misc{,\n author = {Carlos Carreiras and Ana Priscila Alves and Andr\\'{e} Louren\\c{c}o and Filipe Canento and Hugo Silva and Ana Fred and others},\n title = {{BioSPPy}: Biosignal Processing in {Python}},\n year = {2015--},\n url = \"https://github.com/PIA-Group/BioSPPy/\",\n note = {[Online; accessed ]}\n}\n```\n\n## License\n\nBioSPPy is released under the BSD 3-clause license. See LICENSE for more details.\n\n## Disclaimer\n\nThis program is distributed in the hope it will be useful and provided\nto you \"as is\", but WITHOUT ANY WARRANTY, without even the implied\nwarranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. This\nprogram is NOT intended for medical diagnosis. We expressly disclaim any\nliability whatsoever for any direct, indirect, consequential, incidental\nor special damages, including, without limitation, lost revenues, lost\nprofits, losses resulting from business interruption or loss of data,\nregardless of the form of action or legal theory under which the\nliability may be asserted, even if advised of the possibility of such\ndamages.\n\n\n",
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