Skip to content

Latest commit

 

History

History
34 lines (26 loc) · 831 Bytes

README.md

File metadata and controls

34 lines (26 loc) · 831 Bytes

ecg-classification

ECG-based Arrhythmia Classification

Jupyter Notebook: ecg-exp.ipynb

dataset

UCI Arrhythmia Dataset http://archive.ics.uci.edu/ml/datasets/arrhythmia

The original data file is renamed from "arrhythmia.data" to "arrhythmia.data.orig" in this repository.

"arrhythmia.data" in this repository is the preprocessed file with all the question marks replaced by empty strings "".

"arrhythmia.names" is the codebook of the dataset.

depends

Python 3
ipython (5.3.0)
jupyter (1.0.0)
matplotlib (1.4.2)
notebook (4.4.1)
numpy (1.12.1)
pandas (0.19.2)
scikit-learn (0.18.1)
scipy (0.19.0)
xgboost (0.6a2)

Python 3 should be installed first. To install the above Python packages, run pip install <package_name>

run and browse the Jupyter notebook

$ jupyter notebook
Open ecg-exp.ipynb in Jupyter.