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accelerometer-6.1.0


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توضیحات

A package to extract meaningful health information from large accelerometer datasets e.g. how much time individuals spend in sleep, sedentary behaviour, walking and moderate intensity physical activity
ویژگی مقدار
سیستم عامل -
نام فایل accelerometer-6.1.0
نام accelerometer
نسخه کتابخانه 6.1.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Aiden Doherty, Shing Chan, Rosemary Walmsley, Hang Yuan
ایمیل نویسنده aiden.doherty@ndph.ox.ac.uk, shing.chan@ndph.ox.ac.uk, rosemary.walmsley@gtc.ox.ac.uk, hang.yuan@keble.ox.ac.uk
آدرس صفحه اصلی https://github.com/activityMonitoring/biobankAccelerometerAnalysis
آدرس اینترنتی https://pypi.org/project/accelerometer/
مجوز -
![Accelerometer data processing overview](docs/source/accelerometerLogo.png) [![Github all releases](https://img.shields.io/github/release/activityMonitoring/biobankAccelerometerAnalysis.svg)](https://github.com/activityMonitoring/biobankAccelerometerAnalysis/releases/) ![install](https://github.com/activityMonitoring/biobankAccelerometerAnalysis/workflows/install/badge.svg) ![flake8](https://github.com/activityMonitoring/biobankAccelerometerAnalysis/workflows/flake8/badge.svg) ![junit](https://github.com/activityMonitoring/biobankAccelerometerAnalysis/workflows/junit/badge.svg) ![gt3x](https://github.com/activityMonitoring/biobankAccelerometerAnalysis/workflows/gt3x/badge.svg) ![cwa](https://github.com/activityMonitoring/biobankAccelerometerAnalysis/workflows/cwa/badge.svg) A tool to extract meaningful health information from large accelerometer datasets. The software generates time-series and summary metrics useful for answering key questions such as how much time is spent in sleep, sedentary behaviour, or doing physical activity. ## Installation ```bash pip install accelerometer ``` You also need Java 8 (1.8.0) or greater. Check with the following: ```bash java -version ``` You can try the following to check that everything works properly: ```bash # Create an isolated environment $ mkdir test_baa/ ; cd test_baa/ $ python -m venv baa $ source baa/bin/activate # Install and test $ pip install accelerometer $ wget -P data/ http://gas.ndph.ox.ac.uk/aidend/accModels/sample.cwa.gz # download a sample file $ accProcess data/sample.cwa.gz $ accPlot data/sample-timeSeries.csv.gz ``` ## Usage To extract summary movement statistics from an Axivity file (.cwa): ```bash $ accProcess data/sample.cwa.gz <output written to data/sample-outputSummary.json> <time series output written to data/sample-timeSeries.csv.gz> ``` Movement statistics will be stored in a JSON file: ```json { "file-name": "sample.cwa.gz", "file-startTime": "2014-05-07 13:29:50", "file-endTime": "2014-05-13 09:49:50", "acc-overall-avg(mg)": 32.78149, "wearTime-overall(days)": 5.8, "nonWearTime-overall(days)": 0.04, "quality-goodWearTime": 1 } ``` See [Data Dictionary](https://biobankaccanalysis.readthedocs.io/en/latest/datadict.html) for the list of output variables. Actigraph and GENEActiv files are also supported, as well as custom CSV files. See [Usage](https://biobankaccanalysis.readthedocs.io/en/latest/usage.html#basic-usage) for more details. To visualise the activity profile: ```bash $ accPlot data/sample-timeSeries.csv.gz <output plot written to data/sample-timeSeries-plot.png> ``` ![Time series plot](docs/source/samplePlot.png) ## Under the hood Interpreted levels of physical activity can vary, as many approaches can be taken to extract summary physical activity information from raw accelerometer data. To minimise error and bias, our tool uses published methods to calibrate, resample, and summarise the accelerometer data. ![Accelerometer data processing overview](docs/source/accMethodsOverview.png) ![Activity classification](docs/source/accClassification.png) See [Methods](https://biobankaccanalysis.readthedocs.io/en/latest/methods.html) for more details. ## Citing our work When using this tool, please consider the works listed in [CITATION.md](CITATION.md). ## Licence See [LICENSE.md](LICENSE.md). ## Acknowledgements We would like to thank all our code contributors and manuscript co-authors. [Contributors Graph](https://github.com/OxWearables/biobankAccelerometerAnalysis/graphs/contributors)


نیازمندی

مقدار نام
- numpy
- scipy
- matplotlib
>=1.2.5 pandas
>=4.59.0 tqdm
>=0.12.2 statsmodels
==0.8.1 imbalanced-learn
==1.0.1 scikit-learn
==1.1.0 joblib


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl accelerometer-6.1.0:

    pip install accelerometer-6.1.0.whl


نصب پکیج tar.gz accelerometer-6.1.0:

    pip install accelerometer-6.1.0.tar.gz