The primary goal of this tool is to create a governing equation using machine learning techniques and differential equations that can be used to model ECG data. ECGs, otherwise known as EKGs, record the electrical signal from one's heart so medical professionals can check for different heart conditions. Through this governing equation, this tool will provide a new method to quantitatively compare healthy individuals with sick individuals who have various heart conditions as well as predict future ECG data. This will allow the gain of new insights into heart conditions themselves and provide a basis for further analysis based on an individual's age, gender, and other related factors. 

Researchers should cite this work as follows:

• Rebecca Mosier, Guang Lin (2020), "ECG Data Analysis Using Machine Learning," https://nanohub.org/resources/ml4ecg. (DOI: 10.21981/JTAZ-PD89).

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1. Jupyter notebooks
2. machine learning
3. tool:ml4ecg