Literature DB >> 25389908

Exploring the ActiLife(®) filtration algorithm: converting raw acceleration data to counts.

D Peach1, J Van Hoomissen, H L Callender.   

Abstract

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.

Mesh：

Year:  2014        PMID： 25389908     DOI： 10.1088/0967-3334/35/12/2359

Source DB:  PubMed          Journal:  Physiol Meas        ISSN： 0967-3334            Impact factor:   2.833


  7 in total

1.  ActiGraph and Short-term Heart Rate Variability Study Protocol: Amended for the COVID-19 Pandemic.

Authors:  Anna Luong; Madison Goodyke; Susan L Dunn; Tracy Baynard; Ulf Bronas
Journal:  J Cardiovasc Nurs       Date:  2021 Nov-Dec 01       Impact factor: 2.083

2.  Predictors of Segmented School Day Physical Activity and Sedentary Time in Children from a Northwest England Low-Income Community.

Authors:  Sarah L Taylor; Whitney B Curry; Zoe R Knowles; Robert J Noonan; Bronagh McGrane; Stuart J Fairclough
Journal:  Int J Environ Res Public Health       Date:  2017-05-16       Impact factor: 3.390

3.  The Feasibility of a Novel School Peer-Led Mentoring Model to Improve the Physical Activity Levels and Sedentary Time of Adolescent Girls: The Girls Peer Activity (G-PACT) Project.

Authors:  Michael B Owen; Charlotte Kerner; Sarah L Taylor; Robert J Noonan; Lisa Newson; Maria-Christina Kosteli; Whitney B Curry; Stuart J Fairclough
Journal:  Children (Basel)       Date:  2018-05-31

4.  Detection of Pediatric Upper Extremity Motor Activity and Deficits With Accelerometry.

Authors:  Catherine R Hoyt; Andrew N Van; Mario Ortega; Jonathan M Koller; Elyse A Everett; Annie L Nguyen; Catherine E Lang; Bradley L Schlaggar; Nico U F Dosenbach
Journal:  JAMA Netw Open       Date:  2019-04-05

Review 5.  Fundamental Movement Skills and Accelerometer-Measured Physical Activity Levels during Early Childhood: A Systematic Review.

Authors:  Alexandra Dobell; Andy Pringle; Mark A Faghy; Clare M P Roscoe
Journal:  Children (Basel)       Date:  2020-11-11

6.  Evaluation of a Pilot School-Based Physical Activity Clustered Randomised Controlled Trial-Active Schools: Skelmersdale.

Authors:  Sarah L Taylor; Robert J Noonan; Zoe R Knowles; Michael B Owen; Bronagh McGrane; Whitney B Curry; Stuart J Fairclough
Journal:  Int J Environ Res Public Health       Date:  2018-05-17       Impact factor: 3.390

7.  Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method.

Authors:  Peter S Lum; Liqi Shu; Elaine M Bochniewicz; Tan Tran; Lin-Ching Chang; Jessica Barth; Alexander W Dromerick
Journal:  Neurorehabil Neural Repair       Date:  2020-11-05       Impact factor: 3.919
  7 in total

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