Metadata-Version: 2.1
Name: asl5000-utils
Version: 0.1.0
Summary: A toolbox to extract data from the ASL5000
Home-page: https://github.com/deplanty/asl5000_utils
Author: deplanty
License: UNKNOWN
Description: [![PyPI version](https://badge.fury.io/py/asl5000-utils.svg)](https://badge.fury.io/py/asl5000-utils)
        
        # asl-utils
        
        A bunch of functions to extract data from the ASL 5000.
        
        ## What's the ASL?
        
        The __ASL 5000&trade;__ is a breathing simulator capable of simulating a wide range of patients, produced by __IngMar Medical&copy;__.
        It is mainly used for educational purpose, developing products and testing ventilators. Check the IngMar Medical [website](https://www.ingmarmed.com/product/asl-5000-breathing-simulator/) for more information.
        
        # Install
        
        The ASL5000 utils can be installed using the pip package manager:
        ```cmd
        pip install asl5000-utils
        ```
        
        # Usage
        
        Let's our environment be:
        ```
        ./
            data/
                simulation.rwb
                simulation.avb
                simulation.brb
            main.py
        ```
        
        `main.py`
        ```python
        import asl5000_utils as asl
        import matplotlib.pyplot as plt
        
        labels, array = asl.read_rwb("./data/simulation.rwb")
        print(labels)
        # ['Time (sec)', 'Airway Pressure (cmH2O)', 'Muscle Pressure (cmH2O)', 'Tracheal Pressure (cmH2O)', 'Chamber 1 Volume (L)', 'Chamber 2 Volume (L)', 'Total Volume (L)', 'Chamber 1 Pressure (cmH2O)', 'Chamber 2 Pressure (cmH2O)', 'Breath File Number (#)', 'Aux 1 (V)', 'Aux 2 (V)', 'Oxygen Sensor (V)']
        time = array[0]
        time_label = labels[0]
        curves = [1, 6, 2]  # Paw, Volume, Pmus
        
        fig, ax = plt.subplots(len(curves), 1, sharex=True)
        plt.title("Example: visualizing the rwb data using matplotlib")
        for i, index in enumerate(curves):
            ax[i].plot(time, array[index])
            ax[i].set_ylabel(labels[index])
        ax[-1].set_xlabel(time_label)
        
        for a in ax:
            a.grid(linestyle="dotted")
        plt.show()
        ```
        
        ![Graph_RWB](images/graph_rwb.png)
        
        In the same way, you can use `asl.read_avb` or `asl.read_brb` to read `data/simulation.avb` or `data/simulation.brb`.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
