GPS analysis of human locomotion: Further evidence for long-range correlations in stride-to-stride fluctuations of gait parameters

Terrier, Philippe; Turner, Vincent; Schütz, Y.

doi:10.1016/j.humov.2005.03.002

Cited by 118 publications

(162 citation statements)

References 26 publications

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“…While we probably more often step forward, rather than in the lateral direction, the idea that stepping distance is relevant in delineating the size of PPS is an interesting proposal to also entertain in our current study. While we did not measure stepping distance in our sample, observations in adults of average weight and height have revealed that a typical step length is around 75 cm (Sekiya et al 1997;Terrier and Schutz 2003;Terrier et al 2005;Shorter et al 2017). Remarkably, this distance aligns with the size of the PPS representation revealed in our study.…”

Section: Discussionsupporting

confidence: 78%

Peripersonal space boundaries around the lower limbs

et al. 2017

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Section: Discussionsupporting

confidence: 78%

Peripersonal space boundaries around the lower limbs

et al. 2017

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“…Subsequent studies using a variety of different techniques have confirmed the presence of long-range correlations and fractal-like scaling in the gait of healthy young adults ͑see below͒, even during slow walking and during running. [80][81][82][83][84][85][86][87] From a neurophysiological control viewpoint, this behavior is of interest because it signifies the presence of longterm, non-trivial "dependence" or "memory" in the locomotor control system. This scale-invariance property has been associated with the survivability of the system in several physical and physiological systems.…”

Section: Beyond the First And Second Moments: Fractal Analysis Of mentioning

confidence: 99%

“…99 As an aside, we note that historically more research has focused on the dynamics of temporal parameters of gait, e.g., the stride and swing time, in part because they can readily be quantified accurately and reliably as described above or by using other "wearable" sensors ͑e.g., accelerometers͒. Although there have been some efforts aimed at measuring stride length on a stride-by-stride basis in ambulatory settings ͑see, for example, the work by Terrier et al 87 and Terrier and Schutz 100 ͒, accurate and reliable long-term recordings of stride length remain a technological challenge.…”

Section: B Assessment Of Gait Dynamicsmentioning

confidence: 99%

Gait dynamics in Parkinson’s disease: Common and distinct behavior among stride length, gait variability, and fractal-like scaling

Hausdorff

2009

Chaos: An Interdisciplinary Journal of Nonlinear Science

507

409

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Parkinson’s disease (PD) is a common, debilitating neurodegenerative disease. Gait disturbances are a frequent cause of disability and impairment for patients with PD. This article provides a brief introduction to PD and describes the gait changes typically seen in patients with this disease. A major focus of this report is an update on the study of the fractal properties of gait in PD, the relationship between this feature of gait and stride length and gait variability, and the effects of different experimental conditions on these three gait properties. Implications of these findings are also briefly described. This update highlights the idea that while stride length, gait variability, and fractal scaling of gait are all impaired in PD, distinct mechanisms likely contribute to and are responsible for the regulation of these disparate gait properties.

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“…heart rate) with a motion sensor (accelerometer) [Brage, et al, (2004)], an approach combining the pressure sensor for evaluating topographical transition including ascending and descending stairs [Sagawa K, et al, (1999)]. In addition, an innovative method utilizing such new scientifi c technology as global positioning systems (GPS) [Terrier P, et al, (2005)] has recently been developed. Therefore, both technical and methodological challenges remain in order to develop and establish a method, that can be appropriately used for each objective, group of participants and for each type of study design, for accurately assessing the daily physical activity.…”

Section: Discussionmentioning

confidence: 99%

Physical Activity Monitoring for Health Management: Practical Techniques and Methodological Issues

Kumahara

Ishii

Tanaka

2006

Int. J. Sport Health Sci.

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Physical activity (PA) plays an important role in the public health-care strategies related to the control of obesity and related non-communicable chronic diseases such as coronary heart disease, type 2 diabetes, hypertension and some types of cancers. PA also results in multiple benefi cial effects on the prolongation of healthy and independent lives among the elderly. This review provides a brief overview of the recently available techniques and important methodological issues related to the assessment of free-living PA. The recommended daily PA proposes increasing/maintaining the level of PA in terms of "duration", "intensity" and "frequency". Accordingly, objective and practical means of assessing PA (in these 3 aspects) and the energy expenditure due to structured activities (i.e. level walking) as well as non-structured activities, are thus indeed necessary for designing effective preventive strategies and being able to accurately monitor the effects. Activity monitoring based on the accelerometry technique constitutes a potentially useful modality for quantifying the PA in both epidemiological research and clinical settings. This method can objectively assess the activity patterns (i.e. intensity and duration) over short and long-term durations, and the energy expenditure can thus be estimated, however, the present available algorithm using accelerometry signals should be improved in order to minimize the inherent limitations in the application of this technique. Further investigations in assessing free-living PA using non-invasive techniques based on physiological and/or biomechanical means thus remains a challenge.

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GPS analysis of human locomotion: Further evidence for long-range correlations in stride-to-stride fluctuations of gait parameters

Cited by 118 publications

References 26 publications

Peripersonal space boundaries around the lower limbs

Peripersonal space boundaries around the lower limbs

Gait dynamics in Parkinson’s disease: Common and distinct behavior among stride length, gait variability, and fractal-like scaling

Physical Activity Monitoring for Health Management: Practical Techniques and Methodological Issues

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