Towards valid estimates of activity energy expenditure using an accelerometer: searching for a proper analytical strategy and big data
Author:
Affiliation:
1. Personal Health Solutions, Philips Research, Eindhoven, The Netherlands
Publisher
American Physiological Society
Subject
Physiology (medical),Physiology
Link
https://www.physiology.org/doi/pdf/10.1152/japplphysiol.01028.2013
Reference10 articles.
1. Detection of Type, Duration, and Intensity of Physical Activity Using an Accelerometer
2. Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer
3. Distributed lag and spline modeling for predicting energy expenditure from accelerometry in youth
4. Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample
5. Identifying Types of Physical Activity With a Single Accelerometer: Evaluating Laboratory-trained Algorithms in Daily Life
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