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https://github.com/jocrv/library-ekg-philips


https://github.com/jocrv/library-ekg-philips

python2

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README 

        
# lib-EKG



Philips ECG Wave Detection Library

Overview

This library is a comprehensive tool developed to facilitate the analysis and detection of waves on ECG (Electrocardiogram) echocardiogram data obtained from Philips Machines. The library provides a set of functions and utilities to process and extract meaningful information from ECG signals, with a primary focus on identifying and determining various waves in the signal.



Features

1. Wave Detection

The library includes robust algorithms for detecting key waves in an ECG signal, such as:



P-waves: Identifying atrial depolarization.

QRS-complex: Detecting ventricular depolarization.

T-waves: Capturing ventricular repolarization.

These detection algorithms are designed to handle diverse signal variations and noise commonly encountered in real-world ECG data.



2. Data Preprocessing

To enhance the accuracy of wave detection, the library includes preprocessing functions to clean and filter ECG signals. This involves noise reduction, baseline correction, and other techniques to improve signal quality.



3. Visualization

The library provides visualization tools for ECG signals, allowing users to observe the detected waves alongside the original signal. This aids in validation and fine-tuning of the detection parameters.



Usage:



import philips_ecg_wave_detection as ecg



# Load ECG data from a Philips Machine

ecg_data = ecg.load_data("path/to/ecg_file.philips")



# Preprocess the ECG data

preprocessed_data = ecg.preprocess(ecg_data)



# Detect waves in the ECG signal

detected_waves = ecg.detect_waves(preprocessed_data)



# Visualize the results

ecg.plot_results(ecg_data, detected_waves)



Refer to the documentation for detailed usage instructions and additional functionalities.



Documentation

For detailed documentation and examples, visit inside this repository.



Contributions

Contributions to the library are welcome! If you find bugs, have feature requests, or want to contribute code, please check our Contribution Guidelines.



License

This library is licensed under the MIT License.



Acknowledgments

We would like to express our gratitude to Philips for providing valuable insights and support during the development of this library.



-Python 2.7



Python 2.7, there are a few adjustments you need to make in terms of syntax and library compatibility. Below is a modified version of the README file specifically tailored for Python 2.7.



# Philips ECG Wave Detection Library



## Overview



This library is a comprehensive tool developed to facilitate the analysis and detection of waves on ECG (Electrocardiogram) echocardiogram data obtained from Philips Machines. The library provides a set of functions and utilities to process and extract meaningful information from ECG signals, with a primary focus on identifying and determining various waves in the signal.



## Features



### 1. Wave Detection



The library includes robust algorithms for detecting key waves in an ECG signal, such as:



- **P-waves:** Identifying atrial depolarization.

- **QRS-complex:** Detecting ventricular depolarization.

- **T-waves:** Capturing ventricular repolarization.



These detection algorithms are designed to handle diverse signal variations and noise commonly encountered in real-world ECG data.



### 2. Data Preprocessing



To enhance the accuracy of wave detection, the library includes preprocessing functions to clean and filter ECG signals. This involves noise reduction, baseline correction, and other techniques to improve signal quality.



### 3. Visualization



The library provides visualization tools for ECG signals, allowing users to observe the detected waves alongside the original signal. This aids in validation and fine-tuning of the detection parameters.



## Getting Started



### Installation



To install the library, use the following pip command:



```bash

pip install philips_ecg_wave_detection