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Sports Med. 2017 Mar;47(3):439-447. doi: 10.1007/s40279-016-0585-y.

A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans.

Sports medicine (Auckland, N.Z.)

Cain C T Clark, Claire M Barnes, Gareth Stratton, Melitta A McNarry, Kelly A Mackintosh, Huw D Summers

Affiliations

  1. Applied Sports Technology, Exercise and Medicine (A-STEM) Research centre, College of Engineering, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales. [email protected].
  2. Engineering Behaviour Analytics in Sport and Exercise (E-BASE) Research group, College of Engineering, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales. [email protected].
  3. Centre for Nanohealth, College of Engineering, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales.
  4. Engineering Behaviour Analytics in Sport and Exercise (E-BASE) Research group, College of Engineering, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales.
  5. Applied Sports Technology, Exercise and Medicine (A-STEM) Research centre, College of Engineering, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales.

PMID: 27402456 DOI: 10.1007/s40279-016-0585-y

Abstract

Physical inactivity is one of the most prevalent risk factors for non-communicable diseases in the world. A fundamental barrier to enhancing physical activity levels and decreasing sedentary behavior is limited by our understanding of associated measurement and analytical techniques. The number of analytical techniques for physical activity measurement has grown significantly, and although emerging techniques may advance analyses, little consensus is presently available and further synthesis is therefore required. The objective of this review was to identify the accuracy of emerging analytical techniques used for physical activity measurement in humans. We conducted a search of electronic databases using Web of Science, PubMed, and Google Scholar. This review included studies written in English and published between January 2010 and December 2014 that assessed physical activity using emerging analytical techniques and reported technique accuracy. A total of 2064 papers were initially retrieved from three databases. After duplicates were removed and remaining articles screened, 50 full-text articles were reviewed, resulting in the inclusion of 11 articles that met the eligibility criteria. Despite the diverse nature and the range in accuracy associated with some of the analytic techniques, the rapid development of analytics has demonstrated that more sensitive information about physical activity may be attained. However, further refinement of these techniques is needed.

References

  1. Neurocomputing. 2011 Jun 1;74(12-13):2184-2192 - PubMed
  2. Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1598-601 - PubMed
  3. Top Stroke Rehabil. 2011 Nov-Dec;18(6):746-57 - PubMed
  4. Pediatr Exerc Sci. 2011 Aug;23(3):399-410 - PubMed
  5. Med Sci Sports Exerc. 2012 Jan;44(1 Suppl 1):S61-7 - PubMed
  6. PLoS One. 2013 Apr 23;8(4):e61691 - PubMed
  7. Gait Posture. 2014;39(1):506-12 - PubMed
  8. Int J Pediatr Obes. 2007;2(4):218-26 - PubMed
  9. J Neuroeng Rehabil. 2014 Jan 08;11:2 - PubMed
  10. Eur J Ageing. 2007 Feb 6;4(1):3-12 - PubMed
  11. IEEE Trans Pattern Anal Mach Intell. 2011 Apr;33(4):741-53 - PubMed
  12. Physiol Meas. 2004 Apr;25(2):R1-20 - PubMed
  13. Sensors (Basel). 2010;10 (2):1154-75 - PubMed
  14. PLoS One. 2013 Oct 09;8(10):e75196 - PubMed
  15. Sensors (Basel). 2010;10 (8):7772-88 - PubMed
  16. Eur J Appl Physiol. 2011 Sep;111(9):2025-32 - PubMed
  17. Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S490-500 - PubMed
  18. Med Sci Sports Exerc. 2013 Jul;45(7):1313-22 - PubMed
  19. PLoS One. 2010 Feb 22;5(2):e9361 - PubMed
  20. PLoS One. 2012;7(7):e40835 - PubMed
  21. Clin Nutr. 2014 Aug;33(4):613-9 - PubMed
  22. Med Sci Sports Exerc. 2012 Sep;44(9):1801-9 - PubMed
  23. IEEE Trans Biomed Eng. 2009 Mar;56(3):871-9 - PubMed
  24. J Phys Act Health. 2013 Sep;10(7):1068-74 - PubMed

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