Extracting meaningful health information from large accelerometer datasets
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Updated
Nov 10, 2025 - Python
Extracting meaningful health information from large accelerometer datasets
Python Software Development Kit (SDK) to process wearable sensor data
The thigh-worn accelerometer data processing tool to find physical and sedentary behaviour
Analyze raw data from ActiGraph and ActiWave devices
Repository for ActiTect (general-purpose actigraphy analysis) and RBDisco (RBD prediction from wrist actigraphy).
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 from the hip.
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