Exploring the ActiLife(®) filtration algorithm: converting raw acceleration data to counts.
نویسندگان
چکیده
Though portable accelerometers are ubiquitous in physiology and public health studies, their accuracy as objective measures of physical activity is still being examined. This paper enumerates and analyzes the various biases of the widely used ActiLife(®) software in reporting activity counts from ActiGraph(®) accelerometers. In particular, we focus on the two-stage proprietary filtration algorithm used to convert raw acceleration data, for a sampling rate of 30 Hz, to compressed 1 Hz signals; we develop simple novel methods to analyze the action of the software filter on the raw data in the frequency domain.
منابع مشابه
Sampling frequency affects the processing of Actigraph raw acceleration data to activity counts.
ActiGraph acceleration data are processed through several steps (including band-pass filtering to attenuate unwanted signal frequencies) to generate the activity counts commonly used in physical activity research. We performed three experiments to investigate the effect of sampling frequency on the generation of activity counts. Ideal acceleration signals were produced in the MATLAB software. T...
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عنوان ژورنال:
- Physiological measurement
دوره 35 12 شماره
صفحات -
تاریخ انتشار 2014