Extracting meaningful health information from large accelerometer datasets
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Updated
Jul 4, 2024 - Python
Extracting meaningful health information from large accelerometer datasets
Python Software Development Kit (SDK) to process Axivity, GENEActiv, and Actigraph files
The thigh-worn accelerometer data processing tool to find physical and sedentary behaviour
Analyze raw data from ActiGraph and ActiWave devices
A novel algorithm to detect non-wear time from raw accelerometer data using convolutional neural networks.
The physical activity analysis toolbox (PAAT) is a comprehensive toolbox to analyse raw acceleration data.
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