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+# ECG Sleep Apnea Detection
+
+Tensorflow implementation for ECG sleep apnea detection
+
+## Prerequisites
+- Tensorflow 2.5
+- Python 3.9
+
+- [ECG Sleep Apnea Dataset](https://physionet.org/physiobank/database/apnea-ecg/)
+
+## ECG Sleep Apnea Dataset
+- The data in the directory have been contributed by Dr. Thomas Penzel of Phillips-University, Marburg, Germany.
+- 35 records (a01 through a20, b01 through b05, and c01 through c10)
+- 7 hours to 10 hours of ECG signal, a set of apnea annotations, a set of machine-generated QRS annotations
+- .dat files: ECG signal (16 bits per sample, Fs=100Hz)
+- .apn files: binary annotation files containing an annotation for each minute of each recording the presence or absence of apnea
+- .qrs files: machine generated binary annotation files, made using [sqrs125](https://physionet.org/physiotools/wag/sqrs-1.htm)
+
+```bash
+wget -r -np http://www.physionet.org/physiobank/database/apnea-ecg/
+```
+
+## Getting Started
+
+### Pre-processing
+- RR Interval: extracting the time intervals between consecutive heart beats
+- QRS Amplitude: calculates the amplitude of R-peak
+- [Age and Sex](https://physionet.org/physiobank/database/apnea-ecg/additional-information.txt)
+```bash
+python pre_proc.py
+```
+
+### Train
+- Train a model:
+```bash
+python train.py 
+```
+
+