Metadata-Version: 2.1
Name: eeg_fConn
Version: 0.0.2
Summary: To compute the functional connectivity from EEG in various bands
Home-page: https://github.com/5a7man/eeg_fConn/
Author: Muhammad Salman Kabir
Author-email: kabir.msalman@gmail.com
License: GNU
Description: # Installation
        ```python
        pip install eeg-fConn
        ```
        # Usage
        ```python
        import numpy as np
        from eeg_fConn import connectivity as con
        
        # dummy data
        data = np.random.rand(10,200)
        
        # filtering data
        filtered_data = con.filteration(data=data, f_min=8, f_max=12, fs=250)
        
        # pli connectivity
        M,V = con.pli_connectivity(sensors=10,data=filtered_data)
        
        # plv connectivity
        M,V = con.plv_connectivity(sensors=10,data=filtered_data)
        
        # ccf connectivity
        M,V = con.ccf_connectivity(sensors=10,data=filtered_data)
        
        # coh connectivity
        M,V = con.coh_connectivity(sensors=10, data=data, f_min=8, f_max=12, fs=250)
        ```
        
        Here _M_ and _V_ are _connectivity matrix_ and _connectivity vector_ respectively.
Platform: Windows, Linux, Mac OS
Description-Content-Type: text/markdown
