Metadata-Version: 2.1
Name: deepfake-ecg
Version: 1.1.0
Summary: Unlimited 10-sec 8-leads Deep Fake ECG generator.
Home-page: https://github.com/vlbthambawita/deepfake-ecg
Author: Vajira Thambawita
Author-email: vlbthambawita@gmail.com
License: UNKNOWN
Description: # deepfake-ecg
        Generate unlimited realistic deepfake ECGs.  
        
        ## Installation
        
        Use the package manager [pip](https://pypi.org/project/deepfake-ecg/) to install deepfake-ecg.
        
        
        
        ```bash
        pip install deepfake-ecg
        ```
        
        ## Usage
        
        
        The following fucntions can generate Deep Fake ECGs with 8-lead values  [lead names from first coloum to eighth colum: **'I','II','V1','V2','V3','V4','V5','V6'**] for 10s (5000 values per lead). These 8-leads format can be converted to 12-leads format using the following equations. 
        
        ```
        lead III value = (lead II value) - (lead I value)
        lead aVR value = -0.5*(lead I value + lead II value)
        lead aVL value = lead I value - 0.5 * lead II value
        lead aVF value = lead II value - 0.5 * lead I value
        
        ```
        
        ### Run on CPU (default setting)
        
        ```python
        import deepfakeecg
        
        #deepfakeecg.generate("number of ECG to generate", "Path to generate", "start file ids from this number", "device to run") 
        
        deepfakeecg.generate(5, ".", start_id=0, run_device="cpu") # Generate 5 ECGs to the current folder starting from id=0
        ```
        
        ### Run on GPU
        
        ```python
        import deepfakeecg
        
        #deepfakeecg.generate("number of ECG to generate", "Path to generate", "start file ids from this number", "device to run") 
        
        deepfakeecg.generate(5, ".", start_id=0, run_device="cuda") # Generate 5 ECGs to the current folder starting from id=0
        ```
        
        
        ## Contributing
        Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
        
        Please make sure to update tests as appropriate.
        
        ## For more details: 
        Please contact: vajira@simula.no, michael@simula.no
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
