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ActiPASS References

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Pasan Hettiarachchi edited this page Apr 29, 2024 · 34 revisions

When ActiPASS is used please refer to ActiPASS GitHub release and relevant publications outlined below

Please also report any publications which implement ActiPASS here

ActiPASS current version

APA format:

Hettiarachchi, P., & Johansson, P. (2024). ActiPASS (Version 2024.05) [Computer software]. https://doi.org/10.5281/zenodo.7701098

BibTex format:

@software{Hettiarachchi_ActiPASS_2024,
author = {Hettiarachchi, Pasan and Johansson, Peter},
doi = {10.5281/zenodo.7701098},
month = {4},
title = {{ActiPASS}},
url = {https://github.com/Ergo-Tools/ActiPASS},
version = {2024.05},
year = {2024}
}

DOI

ActiPASS related publications

  1. Original reference to the core activity detection algorithm Acti4

Skotte J, Korshøj M, Kristiansen J, Hanisch C, Holtermann A. Detection of physical activity types using triaxial accelerometers. J Phys Act Health. 2014 Jan;11(1):76–84.

  1. Validation of Acti4 in free living settings

Stemland I, Ingebrigtsen J, Christiansen CS, Jensen BR, Hanisch C, Skotte J, et al. Validity of the Acti4 method for detection of physical activity types in free-living settings: comparison with video analysis. Ergonomics. 2015;58(6):953–65.

  1. Validation of Acti4 together with ActivPAL and Axivity

Crowley P, Skotte J, Stamatakis E, Hamer M, Aadahl M, Stevens ML, et al. Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS). International Journal of Behavioral Nutrition and Physical Activity. 2019 Aug 16;16(1):65.

  1. Validation of step counts in Acti4

Ingebrigtsen J, Stemland I, Christiansen C, Jorgen S, Hanisch C, Krustrup P, et al. Validation of a Commercial and Custom Made Accelerometer-Based Software for Step Count and Frequency during Walking and Running. J Ergonomics 2013

  1. Validation of lying down

Hettiarachchi P, Aili K, Holtermann A, Stamatakis E, Svartengren M, Palm P. Validity of a Non-Proprietary Algorithm for Identifying Lying Down Using Raw Data from Thigh-Worn Triaxial Accelerometers. Sensors. 2021 Jan;21(3):904.

  1. Validation of automatic reference identification

Höjvall C. Detection of physical behavior from thigh worn accelerometer: Validation of a new data processing software that automatically compensates for minor variations in the placement of the accelerometer. Stockholm: KTH Royal Institute Of Technoclogy School Of Engineering Sciences In Chemistry, Biotechnology And Health; 2020. (Degree Project Technology and Health). Available from: http://kth.diva-portal.org/smash/get/diva2:1509359/FULLTEXT01.pdf

  1. Validation of thigh accelerometer sleep algorithm

Johansson, P. J., Crowley, P., Axelsson, J., Franklin, K., Garde, A. H., Hettiarachchi, P., Holtermann, A., Kecklund, G., Lindberg, E., Ljunggren, M., Stamatakis, E., Theorell Haglöw, J., & Svartengren, M. (2022). Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh: an evaluation against polysomnography. Journal of Sleep Research, e13725.

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