Foot-Worn Inertial Sensors Are Reliable to Assess Spatiotemporal Gait Parameters in Axial Spondyloarthritis under Single and Dual Task Walking in Axial Spondyloarthritis

Soulard, Julie; Vaillant, Jacques; Balaguier, Romain; Baillet, Athan; Gaudin, Philippe; Vuillerme, Nicolas

doi:10.3390/s20226453

Cited by 14 publications

(18 citation statements)

References 80 publications

(59 reference statements)

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“…A fixed prescription of power outputs to aim for during a workout might not relate in a reasonable way to the original indicator workout: Assume an athlete improves his/her RE between Day 1 and Day 100. Running the same course in the same time on both days might yield different power readings P 1 w and P 100 w . Since we assumed the RE to be improved, the relation between metabolic cost between Day 1 and Day 100 should be: VO 1 2 > VO 100 2 .…”

Section: Discussionmentioning

confidence: 99%

“…Running the same course in the same time on both days might yield different power readings P 1 w and P 100 w . Since we assumed the RE to be improved, the relation between metabolic cost between Day 1 and Day 100 should be: VO 1 2 > VO 100 2 . As there is no well-defined correlation betweenVO 2 and P W under a changing RE, the change between P 1 w and P 100 w could be zero or a change in either direction.…”

Section: Discussionmentioning

confidence: 99%

“…In the last decade, foot-worn sensors to assess and meaningfully analyze running metrics (e.g., step frequency, stride length, ground contact time) have gained increased attention and popularity [ 1 , 2 , 3 , 4 , 5 ]. These sensors are meant to improve laboratory and in-field testing and training by delivering key performance data.…”

Section: Introductionmentioning

confidence: 99%

“…These sensors are meant to improve laboratory and in-field testing and training by delivering key performance data. The data derived from foot-worn sensors comprise spatiotemporal running parameters, including running power [ 1 , 6 ]. These devices are designed to be independent of factors such as slope, wind resistance, or fatigue.…”

Section: Introductionmentioning

confidence: 99%

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Limitations of Foot-Worn Sensors for Assessing Running Power

Baumgartner

Held

Klatt

et al. 2021

Sensors

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Running power as measured by foot-worn sensors is considered to be associated with the metabolic cost of running. In this study, we show that running economy needs to be taken into account when deriving metabolic cost from accelerometer data. We administered an experiment in which 32 experienced participants (age = 28 ± 7 years, weekly running distance = 51 ± 24 km) ran at a constant speed with modified spatiotemporal gait characteristics (stride length, ground contact time, use of arms). We recorded both their metabolic costs of transportation, as well as running power, as measured by a Stryd sensor. Purposely varying the running style impacts the running economy and leads to significant differences in the metabolic cost of running (p < 0.01). At the same time, the expected rise in running power does not follow this change, and there is a significant difference in the relation between metabolic cost and power (p < 0.001). These results stand in contrast to the previously reported link between metabolic and mechanical running characteristics estimated by foot-worn sensors. This casts doubt on the feasibility of measuring running power in the field, as well as using it as a training signal.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Limitations of Foot-Worn Sensors for Assessing Running Power

Baumgartner

Held

Klatt

et al. 2021

Sensors

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“…It corresponds to an automated, neuro-muscular activity that voluntary control can modulate [ 2 ]. Monitoring spatiotemporal parameters of gait (SPT) is important to assess performance [ 3 ] and abnormalities [ 4 , 5 , 6 , 7 ] and predict overuse injuries [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System

Scataglini

Verwulgen

Roosens

et al. 2021

Sensors

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This study aims to measure and compare spatiotemporal gait parameters in nineteen subjects using a full wearable inertial mocap system Xsens (MVN Awinda, Netherlands) and a photoelectronic system one-meter OptoGaitTM (Microgait, Italy) on a treadmill imposing a walking speed of 5 km/h. A total of eleven steps were considered for each subject constituting a dataset of 209 samples from which spatiotemporal parameters (SPT) were calculated. The step length measurement was determined using two methods. The first one considers the calculation of step length based on the inverted pendulum model, while the second considers an anthropometric approach that correlates the stature with an anthropometric coefficient. Although the absolute agreement and consistency were found for the calculation of the stance phase, cadence and gait cycle, from our study, differences in SPT were found between the two systems. Mean square error (MSE) calculation of their speed (m/s) with respect to the imposed speed on a treadmill reveals a smaller error (MSE = 0.0008) using the OptoGaitTM. Overall, our results indicate that the accurate detection of heel strike and toe-off have an influence on phases and sub-phases for the entire acquisition. Future study in this domain should investigate how to design and integrate better products and algorithms aiming to solve the problematic issues already identified in this study without limiting the user’s need and performance in a different environment.

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The effects of a secondary task on gait in axial spondyloarthritis

Soulard

Vaillant

Baillet

et al. 2021

Sci Rep

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Studies on the effects of dual tasking in patients with chronic inflammatory rheumatic diseases are limited. The aim of this study was to assess dual tasking while walking in patients with axial spondyloarthritis (axSpA) in comparison to healthy controls. Thirty patients with axSpA and thirty healthy controls underwent a 10-m walk test at a self-selected comfortable walking speed in single- and dual-task conditions. Foot-worn inertial sensors were used to compute spatiotemporal gait parameters. Analysis of spatiotemporal gait parameters showed that the secondary manual task negatively affected walking performance in terms of significantly decreased mean speed (p < 0.001), stride length (p < 0.001) and swing time (p = 0.008) and increased double support (p = 0.002) and stance time (p = 0.008). No significant interaction of group and condition was observed. Both groups showed lower gait performance in dual task condition by reducing speed, swing time and stride length, and increasing double support and stance time. Patients with axSpA were not more affected by the dual task than matched healthy controls, suggesting that the secondary manual task did not require greater attention in patients with axSpA. Increasing the complexity of the walking and/or secondary task may increase the sensitivity of the dual-task design to axial spondyloarthritis.

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Foot-Worn Inertial Sensors Are Reliable to Assess Spatiotemporal Gait Parameters in Axial Spondyloarthritis under Single and Dual Task Walking in Axial Spondyloarthritis

Cited by 14 publications

References 80 publications

Limitations of Foot-Worn Sensors for Assessing Running Power

Limitations of Foot-Worn Sensors for Assessing Running Power

Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System

The effects of a secondary task on gait in axial spondyloarthritis

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