Dynamics of stride interval characteristics during continuous stairmill climbing

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

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish (US)
Article number609
JournalFrontiers in Physiology
Volume8
Issue numberAUG
DOIs
StatePublished - Aug 23 2017

Fingerprint

Walking
Entropy
Running
Young Adult
Healthy Volunteers
Walking Speed

Keywords

  • Detrended fluctuation analysis
  • Entropy
  • Stair biomechanics
  • Stride-to-stride fluctuations
  • Temporal structure of variability

ASJC Scopus subject areas

  • Physiology
  • Physiology (medical)

Cite this

Dynamics of stride interval characteristics during continuous stairmill climbing. / Raffalt, Peter C.; Vallabhajosula, Srikant; Renz, Jessica J.; Mukherjee, Mukul; Stergiou, Nicholas.

In: Frontiers in Physiology, Vol. 8, No. AUG, 609, 23.08.2017.

Research output: Contribution to journalArticle

Raffalt, Peter C. ; Vallabhajosula, Srikant ; Renz, Jessica J. ; Mukherjee, Mukul ; Stergiou, Nicholas. / Dynamics of stride interval characteristics during continuous stairmill climbing. In: Frontiers in Physiology. 2017 ; Vol. 8, No. AUG.
@article{748318e679f940d8acb37a2ce5be7f6f,
title = "Dynamics of stride interval characteristics during continuous stairmill climbing",
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",
author = "Raffalt, {Peter C.} and Srikant Vallabhajosula and Renz, {Jessica J.} and Mukul Mukherjee and Nicholas Stergiou",
year = "2017",
month = "8",
day = "23",
doi = "10.3389/fphys.2017.00609",
language = "English (US)",
volume = "8",
journal = "Frontiers in Physiology",
issn = "1664-042X",
publisher = "Frontiers Research Foundation",
number = "AUG",

}

TY - JOUR

T1 - Dynamics of stride interval characteristics during continuous stairmill climbing

AU - Raffalt, Peter C.

AU - Vallabhajosula, Srikant

AU - Renz, Jessica J.

AU - Mukherjee, Mukul

AU - Stergiou, Nicholas

PY - 2017/8/23

Y1 - 2017/8/23

N2 - 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.

AB - 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.

KW - Detrended fluctuation analysis

KW - Entropy

KW - Stair biomechanics

KW - Stride-to-stride fluctuations

KW - Temporal structure of variability

UR - http://www.scopus.com/inward/record.url?scp=85028022040&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028022040&partnerID=8YFLogxK

U2 - 10.3389/fphys.2017.00609

DO - 10.3389/fphys.2017.00609

M3 - Article

C2 - 28878688

AN - SCOPUS:85028022040

VL - 8

JO - Frontiers in Physiology

JF - Frontiers in Physiology

SN - 1664-042X

IS - AUG

M1 - 609

ER -