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Raffalt PC, Vallabhajosula S, Renz JJ, et al. Dynamics of Stride Interval Characteristics during Continuous Stairmill Climbing. Front Physiol. 2017;8:609doi: 10.3389/fphys.2017.00609.
Raffalt, P. C., Vallabhajosula, S., Renz, J. J., Mukherjee, M., & Stergiou, N. (2017). Dynamics of Stride Interval Characteristics during Continuous Stairmill Climbing. Frontiers in physiology, 8609. https://doi.org/10.3389/fphys.2017.00609
Raffalt, Peter C, et al. "Dynamics of Stride Interval Characteristics during Continuous Stairmill Climbing." Frontiers in physiology vol. 8 (2017): 609. doi: https://doi.org/10.3389/fphys.2017.00609
Raffalt PC, Vallabhajosula S, Renz JJ, Mukherjee M, Stergiou N. Dynamics of Stride Interval Characteristics during Continuous Stairmill Climbing. Front Physiol. 2017 Aug 23;8:609. doi: 10.3389/fphys.2017.00609. eCollection 2017. PMID: 28878688; PMCID: PMC5572333.
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Front Physiol. 2017 Aug 23;8:609. doi: 10.3389/fphys.2017.00609. eCollection 2017.

Dynamics of Stride Interval Characteristics during Continuous Stairmill Climbing.

Frontiers in physiology

Peter C Raffalt, Srikant Vallabhajosula, Jessica J Renz, Mukul Mukherjee, Nicholas Stergiou

Affiliations

  1. Julius Wolff Institute for Biomechanics and Musculoskeletal Regeneration, Charité-Universitätsmedizin BerlinBerlin, Germany.
  2. Department of Biomedical Sciences, University of CopenhagenCopenhagen, Denmark.
  3. Department of Physical Therapy Education, School of Health Sciences, Elon UniversityElon, NC, United States.
  4. Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska OmahaOmaha, NE, United States.
  5. Department of Environmental Agricultural and Occupational Health, College of Public Health, University of Nebraska Medical CenterOmaha, NE, United States.

PMID: 28878688 PMCID: PMC5572333 DOI: 10.3389/fphys.2017.00609

Abstract

It has been shown that statistical persistence in stride intervals characteristics exist during walking, running and cycling and were speed-dependent among healthy young adults. The purpose of this study was to determine if such statistical persistence in stride time interval, stride length and stride speed also exists during self-paced continuous stairmill climbing and if the strength is dependent on stepping rate. Stride time, stride length, and stride speed were collected from nine healthy participants during 3 min of stairmill climbing at 100, 110, and 120% of their preferred stepping rate (PSR) and 5 min of treadmill walking at preferred walking speed (PWS). The amount of variability (assessed by standard deviation and coefficient of variation) and dynamics (assessed by detrended fluctuation analysis and sample entropy) of the stride time, stride length, and stride speed time series were investigated. The amounts of variability were significantly higher during stairmill climbing for the stride time, stride length, and stride speed and did only change with increased stepping rate for stride speed. In addition to a more irregular pattern during stairmill climbing, the detrended fluctuation analysis (DFA) revealed that the stride length fluctuations were statistical anti-persistent for all subjects. On a group level both stride time and stride speed fluctuations were characterized by an uncorrelated pattern which was more irregular compared to that during treadmill walking. However, large inter-participant differences were observed for these two variables. In addition, the dynamics did not change with increase in stepping rate.

Keywords: detrended fluctuation analysis; entropy; stair biomechanics; stride-to-stride fluctuations; temporal structure of variability

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