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https://github.com/cbrnr/sleepecg

Sleep stage detection using ECG
https://github.com/cbrnr/sleepecg

ecg heartrate peak-detection python sleep-staging

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Sleep stage detection using ECG

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## SleepECG

SleepECG provides tools for sleep stage classification when [EEG](https://en.wikipedia.org/wiki/Electroencephalography) signals are not available. Based only on [ECG](https://en.wikipedia.org/wiki/Electrocardiography), SleepECG provides functions for

- downloading and reading open polysomnography datasets,
- detecting heartbeats from ECG signals, and
- classifying sleep stages (which includes preprocessing, feature extraction, and classification).

### Documentation

Documentation for SleepECG is available on [Read the Docs](https://sleepecg.readthedocs.io/en/stable/index.html). Check out the [changelog](https://github.com/cbrnr/sleepecg/blob/main/CHANGELOG.md) to learn what we added, changed, or fixed.

### Installation

SleepECG is available on PyPI and can be installed with [pip](https://pip.pypa.io/en/stable/):

```
pip install sleepecg
```

SleepECG with all optional dependencies can be installed with the following command:

```
pip install "sleepecg[full]"
```

If you want the latest development version, use the following command:

```
pip install git+https://github.com/cbrnr/sleepecg
```

### Example

The following example detects heartbeats in a short ECG (a one-dimensional NumPy array):

```python
import numpy as np
from sleepecg import detect_heartbeats, get_toy_ecg

ecg, fs = get_toy_ecg() # 5 min of ECG data at 360 Hz
beats = detect_heartbeats(ecg, fs) # indices of detected heartbeats
```

### Contributing

The [contributing guide](https://github.com/cbrnr/sleepecg/blob/main/CONTRIBUTING.md) contains detailed instructions on how to contribute to SleepECG.