Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods
Conclusions
This is among the first algorithms for sitting and standing for hip-worn accelerometer data to be trained from entirely free-living activPAL data. The new algorithm detected prolonged sitting, which has been shown to be the most detrimental to health. Further validation and training in larger cohorts is warranted.
Source: Medicine and Science in Sports and Exercise - Category: Sports Medicine Tags: SPECIAL COMMUNICATIONS: Methodological Advances Source Type: research
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