| Name | sleepecg JSON |
| Version |
0.5.8
JSON |
| download |
| home_page | None |
| Summary | A package for sleep stage classification using ECG data |
| upload_time | 2024-05-21 09:46:44 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | BSD 3-Clause |
| keywords |
sleep
ecg
qrs
peak
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://pypi.org/project/sleepecg/)
[](https://anaconda.org/conda-forge/sleepecg)
[](https://sleepecg.readthedocs.io/en/stable/index.html)
[](https://doi.org/10.21105/joss.05411)
[](LICENSE)
## 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
```
Alternatively, an unofficial [conda](https://docs.conda.io/en/latest/) package is available:
```
conda install -c conda-forge 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
```
### Dependencies
SleepECG requires Python ≥ 3.9 and the following packages:
- [numpy](https://numpy.org/) ≥ 1.20.0
- [PyYAML](https://pyyaml.org/) ≥ 5.4.0
- [requests](https://requests.readthedocs.io/en/latest/) ≥ 2.25.0
- [scipy](https://scipy.org/) ≥ 1.7.0
- [tqdm](https://tqdm.github.io/) ≥ 4.60.0
Optional dependencies provide additional features:
- [edfio](https://github.com/the-siesta-group/edfio/) ≥ 0.4.0 (read data from [MESA](https://sleepdata.org/datasets/mesa) and [SHHS](https://sleepdata.org/datasets/shhs))
- [joblib](https://joblib.readthedocs.io/en/latest/) ≥ 1.0.0 (parallelized feature extraction)
- [matplotlib](https://matplotlib.org/) ≥ 3.5.0 (plot ECG time courses, hypnograms, and confusion matrices)
- [numba](https://numba.pydata.org/) ≥ 0.59.1 (JIT-compiled heartbeat detector)
- [tensorflow](https://www.tensorflow.org/) ≥ 2.16.1 (sleep stage classification with Keras models)
- [wfdb](https://github.com/MIT-LCP/wfdb-python/) ≥ 3.4.0 (read data from [SLPDB](https://physionet.org/content/slpdb), [MITDB](https://physionet.org/content/mitdb), and [LTDB](https://physionet.org/content/ltdb))
### Contributing
The [contributing guide](https://github.com/cbrnr/sleepecg/blob/main/CONTRIBUTING.md) contains detailed instructions on how to contribute to SleepECG.
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