Nonlinear analysis of gait kinematics to track changes in oxygen consumption in prolonged load carriage walking: A pilot study

Schiffman, Jeffrey M.; Chelidze, David; Adams, Albert A.; Segala, David B.; Hasselquist, Leif

doi:10.1016/j.jbiomech.2009.06.011

Cited by 18 publications

(17 citation statements)

References 16 publications

(31 reference statements)

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“…Our main finding is that swimming is indeed a highly complex locomotion technique, even more so for subjects with lower levels of expertise. E.g., walking on-land, the fractal dimension was reported as ranging between 1.10 and 1.40 (Schiffman, Chelidze, Segala, & Hasselquist, 2009). Our highly qualified expert swimmers (the ones with lower complexity scores) showed a fractal dimension range of 1.80-1.90.…”

Section: Vol 21 No 3 2017mentioning

confidence: 67%

“…Fractal dimension has been reported for gait (Sekine, Tamura, Akay, Fujimoto, Togawa & Fukui, 2002;Schiffman, Chelidze, Segala, & Hasselquist, 2009), albeit not yet in swimming. Fractal dimension values tend to decrease over time from the beginning to end of a 120 min load carriage march (Schiffman, Chelidze, Segala, & Hasselquist, 2009). Whereas, fractal dimension was significantly higher for elderly subjects than the young counterparts (Sekine, Tamura, Akay, Fujimoto, Togawa & Fukui, 2002).…”

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confidence: 96%

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Variation of Linear and Nonlinear Parameters in the Swim Strokes According to the Level of Expertise

et al. 2017

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The aim was to examine the variation of linear and nonlinear proprieties of the behavior in participants with different levels of swimming expertise among the four swim strokes. Seventy-five swimmers were split into three groups (highly qualified experts, experts and nonexperts) and performed a maximal 25m trial for each of the four competitive swim strokes. A speed-meter cable was attached to the swimmer's hip to measure hip speed; from which speed fluctuation (dv), approximate entropy (ApEn) and fractal dimension (D) variables were derived. Although simple main effects of expertise and swim stroke were obtained for dv and D, no significant interaction of expertise and stroke were found except in ApEn. The ApEn and D were prone to decrease with increasing expertise. As a conclusion, swimming does exhibit nonlinear properties but its magnitude differs according to the swim stroke and level of expertise of the performer.

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Section: Vol 21 No 3 2017mentioning

confidence: 67%

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confidence: 96%

Variation of Linear and Nonlinear Parameters in the Swim Strokes According to the Level of Expertise

et al. 2017

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“…Nevertheless, it was shared evidence of fractal-like fluctuations in gait on land [24]. On land, the FD decreased marching for 2 hours [7]. The FD decreased from an initial value of 1.43 at the beginning of the march to 1.12 in the end.…”

Section: Discussionmentioning

confidence: 85%

“…Ultimately can bring some enlighten on how to delay as much as possible the onset of fatigue. At least on land, the fractal dimension decreased over a 120 minutes load carriage march by servicemen [7]. Hence, the complexity of the motor behavior seems to be coupled to fatigue.…”

Section: Introductionmentioning

confidence: 99%

The changes in fractal dimension after a maximal exertion in swimming

Barbosa

Chen

Forte

et al. 2016

2016 1st International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW)

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Quite often linear variables are not sensitive enough to explain the changes in the motor behavior of elite athletes. So, non-linear variables should be selected.The aim was to compare the fractal dimension before and after a maximal bout swimming front-crawl. Twenty-four subjects performed an all-out 100m trial swimming front-crawl. Immediately before (Pre-test) and after the trial (Post-test) a speed-meter cable was attached to the swimmer's waist to measure the hip speed from which fractal dimension was derived. The fractal dimension showed a significant decrease with a moderate effect size between pre-and post-tests. Twenty-one out of 24 swimmers decreased the fractal dimension. As a conclusion, there is a decrease in the fractal dimension and hence in the swimming behavior complexity being under fatigue after a maximal trial.

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“…In contrast, nonlinear methods approach the structure of variability by analysing fluctuations in patterns in time and observe how one behaviour can affect the next one. Despite recent rise in the use of nonlinear methods, these are still a less popular choice for professionals compared to the previous methods, mainly due to the demanding processing and complexity of data interpretation [58]. These methods are not used with wearable systems in military.…”

Section: Nonlinear Methods Of Data Evaluationmentioning

confidence: 99%

Wearable Systems and Methods for Monitoring Psychological and Physical Condition of Soldiers

Kutílek

Volf

Vítečková

et al. 2017

AiMT

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From the second half of the 1990s, thanks to more affordable and more powerful information technology and electronical systems for recording based on miniaturized sensors, we can observe a more intensive development of a method of data analysis and a system that monitors the physical and psychological conditions of soldiers. Systems for measuring and evaluation methods of physical and medical data for the diagnostics of physical and psychological state have significantly spread, especially in clinical practice. This study, however, examines the current technologies and usage of the wearable monitoring systems in military field. The result of this study is not only the not-yet published summary of the current state, but also the proposed possibilities of usage and recommendation of specific systems, their sensors and system methods in the military. Thus, the article can serve as a guide for choosing suitable and affordable electronical wearable systems and methods of quantitative evaluation of physical and psychological conditions of people in the military.

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Nonlinear analysis of gait kinematics to track changes in oxygen consumption in prolonged load carriage walking: A pilot study

Cited by 18 publications

References 16 publications

Variation of Linear and Nonlinear Parameters in the Swim Strokes According to the Level of Expertise

Variation of Linear and Nonlinear Parameters in the Swim Strokes According to the Level of Expertise

The changes in fractal dimension after a maximal exertion in swimming

Wearable Systems and Methods for Monitoring Psychological and Physical Condition of Soldiers

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