Dominant side in single-leg stance stability during floor oscillations at various frequencies
© Kiyota and Fujiwara; licensee BioMed Central Ltd. 2014
Received: 28 March 2014
Accepted: 23 July 2014
Published: 15 August 2014
We investigated lateral dominance in the postural stability of single-leg stance with anteroposterior floor oscillations at various frequencies.
Thirty adults maintained a single-leg stance on a force platform for 20 seconds per trial. Trials were performed with no oscillation (static condition) and with anteroposterior floor oscillations (2.5-cm amplitude) at six frequencies: 0.25, 0.5, 0.75, 1.0, 1.25 and 1.5 Hz (dynamic condition). A set of three trials was performed on each leg in each oscillation frequency in random order. The mean speed of the center of pressure in the anteroposterior direction (CoPap) was calculated as an index of postural stability, and frequency analysis of CoPap sway was performed. Footedness for carrying out mobilizing activities was assessed with a questionnaire.
CoPap speed exponentially increased as oscillation frequency increased in both legs. The frequency analysis of CoPap showed a peak <0.3 Hz at no oscillation. The frequency components at 0.25-Hz oscillation included common components with no oscillation and those at 1.5-Hz oscillation showed the maximum amplitude among all conditions. Postural stability showed no significant difference between left- and right-leg stance at no oscillation and oscillations ≤1.25 Hz, but at 1.5-Hz oscillation was significantly higher in the right-leg stance than in the left-leg stance. For the lateral dominance of postural stability at individual levels, the lateral difference in postural stability at no oscillation was positively correlated with that at 0.25-Hz oscillation (r = 0.51) and negatively correlated with that at 1.5-Hz oscillation (r = -0.53). For 70% of subjects, the dominant side of postural stability was different at no oscillation and 1.5-Hz oscillation. In the subjects with left- or right-side dominance at no oscillation, 94% or 38% changed their dominant side at 1.5-Hz oscillation, with a significant difference between these percentages. In the 1.5-Hz oscillation, 73% of subjects had concordance between the dominant side of postural stability and that of mobilizing footedness.
In static conditions, there was no lateral dominance of stability during single-leg stance. At 1.5-Hz oscillation, the highest frequency, right-side dominance of postural stability was recognized. Functional role in supporting leg may be divided between left and right legs according to the change of balance condition from static to dynamic.
In humans, the lower limbs play an important role in providing postural support for maintaining standing posture. The upper limbs are not involved in supporting body weight unless the subject stands or walks with a cane or crutches and they thus assume a role in manipulation of objects. In a general sense, the upper and lower limbs are anatomically symmetrical across the sagittal plane of the body, but one of the bilateral limbs is preferentially used. In humans, this characteristic is called lateral dominance[1, 2]. Approximately 90% of adults exhibit right-side dominance in manipulative functions of the upper limb  and in mobilizing functions of the lower limb, such as when kicking or juggling a ball [4–6]. However, when the lower limb is used as a postural support during single-leg stance, there is no clear lateral dominance in postural stability, even though the dominant side in maintaining stability is often shown at the individual level [7, 8]. These findings regarding the postural support function have been assessed primarily by the measure of fluctuation of center of pressure (CoP) during stance on a stable surface (that is, a static balance condition).
However, in activities of daily living, including sports, it is more important to maintain postural stability under unstable balance conditions, when external forces besides gravity force act as perturbations or the whole body moves in space (that is, dynamic balance conditions). In addition, the control strategy for maintaining single-leg standing posture on vibrating (swaying) surfaces is sometimes needed in particular cases (for example, working in vehicles or aircraft). The lateral dominance of postural stability in dynamic conditions has been investigated using a movable semicircle seesaw on a force platform [9–11], but no significant lateral difference was found. For maintaining a stable standing posture against gravity force, the body alignment should be controlled appropriately and CoP position should be kept within the base of support . On this seesaw, especially, CoP position must remain on the supporting point. However, this point does not move by external force; rather, it moves by the person’s involuntary and irregular body sway on the seesaw. Therefore, it would be difficult to anticipate its movement and set CoP on the supporting point. This would lead to large intraindividual variability in postural stability during single-leg stance on this seesaw, resulting in no significant lateral dominance. On the other hand, in the case of a periodic floor oscillation, used as a postural perturbation, it is easy to set CoP at a certain range within the base of support, because subjects can easily anticipate the disturbance timing for its periodicity . Therefore, the postural stability on the oscillating floor has high reproducibility . In addition, the periodical floor oscillation is excellent in the quantification of stimulus intensity because the acceleration of disturbance changes according to the oscillation frequency . Mean speed of CoP in the anteroposterior direction (CoPap) has been used to evaluate postural stability during this perturbation .
Fujiwara et al.  investigated the spectrum of postural sway during bipedal stance on a floor that oscillated between 0.1 Hz (a relatively static balance condition) and 1.5 Hz (a dynamic balance condition) . At low-frequency oscillation (0.1 Hz), low-frequency components similar to those during quiet standing posture (below 0.5 Hz) were observed, as well as a peak component at the oscillation frequency. On the other hand, at higher-frequency oscillations (≥0.5 Hz), the peak amplitude at the oscillation frequency increased remarkably, and the low-frequency components were also observed. These findings indicate difference between postural controls during bipedal stance at low-frequency and high-frequency oscillations, specifically static and dynamic balance conditions, respectively. However, postural stability and postural control during single-leg stance at various frequency oscillations has not been investigated. The analyses of mean speed and spectrum of CoPap will reveal the difference of postural stability during single-leg stance between static and balance conditions. We predicted that by also using the floor oscillation no lateral difference of postural stability would be found in relatively static conditions (that is, low-frequency conditions). On the other hand, at high-frequency oscillation, when dynamic postural control is required, a clear lateral difference will be found. Postural stability in single-leg stance during voluntary step initiation has reportedly been better in the dominant foot than in the nondominant foot of mobilizing function . Therefore, we predicted that at high-frequency oscillations, postural stability would be higher in the mobilizing dominant foot (that is, the right foot) than in the nondominant foot (that is, the left foot).
With low-frequency oscillations, similar to the static balance condition, no significant lateral difference would be shown, whereas, on an individual level, the dominant side of postural stability would be the same as that in static balance.
With increases in oscillation frequency, the postural stability of the dominant side for mobilizing functions would become greater than those of the nondominant side.
Subjects were 30 healthy young adults (17 men, 13 women). Mean (standard deviation) age, height, weight, right-foot length and left-foot length were 21.6 (3.0) years, 166.6 (7.6) cm, 59.3 (7.9) kg, 24.6 (1.5) cm and 24.6 (1.5) cm, respectively. Written informed consent was obtained from all subjects in accordance with the Declaration of Helsinki following an explanation of the experimental protocols. The study and the study protocol were approved by the Kanazawa University Ethics Committee.
Apparatus and data recording
In order to adapt to the floor oscillation at each frequency (0.25, 0.5, 0.75, 1.0, 1.25 and 1.5 Hz), subjects maintained a bipedal standing posture on the oscillating platform with bare feet 10 cm apart and parallel, and with eyes open and arms folded across the chest, for 60 seconds before performing a single-leg stance. During single-leg stance, subjects stood on either the left or right leg for 20 seconds with the medial malleolus of the lifted leg touching the muscle belly of gastrocnemius medialis of the supporting leg, eyes open and arms folded across the chest. A single adaptation trial during bipedal standing was performed at each frequency. Three adaptation trials during single-leg stance were performed on each leg. When the CoPap speed in the third trials decreased by >10% from the value of the second trial, additional trials were performed in order to complete the adaptation process. Trials were stopped when the percentage change of CoPap speed between any two consecutive additional trials dropped below 10%. Subjects were instructed not to intentionally flex their knees or trunk during the oscillation. Adaptation trials were performed from the highest to the lowest oscillation frequency (that is, from 1.5 to 0.25 Hz) with a 60-second seated rest between trials.Next, experimental trials were performed for 20 seconds in the no-oscillation and oscillation conditions (Figure 1). Subjects who were instructed to gaze at the visual target and to stand as still as possible gave the experimenter a verbal signal within 5 seconds of the start of the trial if they were able to maintain single-leg stance. If the verbal signal was given more than 5 seconds after the start of the trial, the trial was stopped and restarted after 60 seconds of seated rest. First, six trials (three trials per leg) were performed in the no-oscillation condition. Subsequently, a set of three trials was performed on each leg in each oscillation frequency in random order. Half of the subjects were measured in the order of no-oscillation and oscillation conditions, and the other half were measured in reverse order. Subjects had a 60-second seated rest between trials. In the oscillation condition, subjects were supported by the experimenter for the first 2 seconds of the oscillation. After that, support was not provided unless the subject appeared to be in danger of falling.
The preferred foot for manipulating an object (mobilizing function of footedness) was assessed using the Waterloo Footedness Questionnaire – Revised . The questions were as follows: (1) Which foot would you use to kick a stationary ball at a target straight in front of you? (2) Which foot would you use to smooth sand at the beach? (3) Which foot would you use to stomp on a fast-moving bug? (4) If you wanted to pick up a marble with your toes, which foot would you use? (5) Which foot would you use to help push a shovel into the ground? Responses of left-always, left-usually, equal, right-usually, and right-always were scored on a scale of -2 to +2. This gave a range of scores from -10 for the most left-footed to +10 for the most right-footed. Scores from -10 to -5, -4 to +4, and +5 to +10 were taken to indicate left-footedness, mixed-footedness, and right-footedness, respectively.
The electrical CoPap signal was transmitted to a computer (Epson, PC-286LS, Suwa, Japan) via an A/D converter (I/O-data, PIO9045, Kanazawa, Japan) with 20-Hz sampling rate and 12-bit resolution. These CoPap signals were smoothed using formula A, and mean speed of CoPap (in millimeters per second) was then calculated with formula B:
(Xn: sampling value; Yn: nth weighted average)
(N: sampling number, yi: sampling value)
It has previously been reported that, in a rigid body model, the mean speed of CoPap is influenced by the height of the center of mass during a constant frequency oscillation . Therefore, CoPap speed measurement values were corrected for subject height by Formula C:
In each condition, the mean value of three trials was calculated. The lateral difference in postural stability was quantified as the difference in CoPap speed between the right and left sides, and the difference was expressed relative to the mean value of the right and left sides. A positive lateral difference indicated left-side dominance, and a negative lateral difference indicated right-side dominance.
For the frequency analysis of CoPap sway, fast Fourier transformation was performed on the full 20 seconds of data with 0.061-Hz resolution and a Hanning window. The amplitude of the frequency spectrum was measured between 0 and 2 Hz, and a spectrum peak at oscillation frequency, and the low-frequency component between 0 and 0.5 Hz was calculated. In a previous study, the spectrum peak at the oscillation frequency was used as an index of the effects of balance training in young adults . In addition, it was previously reported that a low-frequency component at 0 to 0.5 Hz in body sway accounted for visuovestibular regulation [20, 21]. The spectrum in present study was calculated using BIMUTAS II software (Kissei Comtec, Matsumoto, Japan).
If subjects moved their feet, they were supported by the experimenter, or if the medial malleolus of the lifted leg became separated from the supporting leg during the oscillation trial, the data corresponding to the interrupting event and in the 3 seconds after recovery of a stable posture were discarded. Thirteen subjects (43.3%) experienced at least one of these events, and the shortest trial across all subjects was 15.3 seconds. For the right foot, the mean (standard deviation) duration of data used for the analysis was 19.9 (0.38) seconds in the no-oscillation condition and 19.8 (0.38), 19.9 (0.38), 19.9 (0.57), 19.5 (1.1), 19.8 (0.62) and 19.7 (0.74) seconds, respectively, for oscillations at 0.25, 0.5, 0.75, 1.0, 1.25 and 1.5 Hz, respectively. For the left foot, the mean duration of data used for the analysis was 19.9 (0.30) seconds in the no-oscillation condition and 19.9 (0.22), 19.7 (0.62), 19.9 (0.54), 19.7 (0.74), 19.8 (0.51) and 19.8 (0.70) seconds, respectively, for oscillations at 0.25, 0.5, 0.75, 1.0, 1.25 and 1.5 Hz, respectively. There were no significant differences between right and left sides or across conditions in the duration of data used for the analysis.
Shapiro-Wilks tests confirmed that all data satisfied the assumptions of normality. Two-way repeated-measures analysis of variance (ANOVA) was used to assess the effects of frequency and the side of the legs on CoPap speed. For the CoPap speed, when significant interactions between frequency and leg side were recognized, the post hoc Tukey’s honestly significant difference (HSD) test and Bonferroni-adjusted paired t-test were used to investigate differences within each factor, respectively. For all analyses, Greenhouse-Geisser adjustments to the degrees of freedom were applied where appropriate. Pearson correlation coefficients between the lateral differences in CoPap speed in the no-oscillation condition and in each oscillation condition were used to assess the changes in dominant side of postural stability at the individual level between static and dynamic balance condition. The χ2 goodness-of-fit test was used to study the number of subjects in each quadrant for the correlations between the no-oscillation and oscillation conditions and the concordance rate between the dominant side of stability and footedness. One-way repeated-measures ANOVA was used to compare the amplitude of the frequency spectrum across conditions. Post hoc analysis was performed using Tukey’s HSD test. The α-level was set at P < 0.05. All statistical analyses were performed using IBM SPSS Statistics version 21 software (IBM Japan, Tokyo, Japan).
According to the results of the Waterloo Footedness Questionnaire–Revised, 85.7% (n = 26), 14.3% (n = 4) and 0% (n = 0) of subjects exhibited right-footedness, mixed-footedness and left-footedness, respectively. The proportion of right-footedness was higher than that of mixed-footedness (χ22 = 39.2, P < 0.001).
Number of subjects in each quadrant of correlation diagram in Figure 3
The results of the present study suggest that the lateral dominance of postural stability during single-leg stance changed according to the frequency of the floor oscillation. Here we discuss the effects of the oscillation frequency on the lateral dominance of postural stability during single-leg stance on the oscillating floor.
At 0.25-Hz oscillation, 70% of the subjects showed that the most stable side was same as that at no oscillation, whereas no significant lateral difference in postural stability was observed. These results indicate that, similar to the static balance condition, no significant lateral difference was shown with low-frequency oscillation, whereas, on an individual level, the dominant side of postural stability was the same as that in static balance, which is consistent with our first hypothesis, described in the Introduction. Fujiwara et al.  reported that there was no significant difference in postural muscle activity between bipedal stance on a floor oscillating at 0.1 Hz and a stable nonoscillating floor . Buchanan and Horak  reported that when the floor oscillated at a low frequency (0.1 or 0.25 Hz), subjects exhibited little damping of head and trunk anteroposterior motion and that anteroposterior center of mass displacement was approximately equal to platform displacement, regardless of whether the eyes were open or closed . These findings indicate control of postural sway at 0.25-Hz oscillation in common with that in static condition. In the present study, common lateral dominance thus would not be observed at 0.25-Hz oscillation, the same as the no-oscillation condition. Spectrum analysis showed that the peak frequency in CoPap sway was 0.061 Hz in the no-oscillation condition and that this peak amplitude did not differ between the no-oscillation and 0.25-Hz oscillation conditions. Even though 0.25-Hz oscillation was the smallest acceleration stimulus among oscillation conditions, the ratio of peak amplitude at the oscillation frequency to that at 0.061 Hz was larger in the 0.25-Hz condition than in the 0.5-Hz condition (Figure 4C). In 0.25-Hz oscillation, the low-frequency component overlapped with the component of oscillation frequency. These results of our present study indicate that body sway during single-leg stance at 0.25-Hz oscillation was similar to body sway at no oscillation, which relates to the consistency in the dominant side of postural stability between the 0.25-Hz and no-oscillation conditions.
At 1.5-Hz oscillation, however, 80% of subjects showed right-side dominance of postural stability, and a negative correlation was found between lateral differences in no-oscillation and oscillation conditions at this frequency. In addition, 85% of subjects showed right-side dominance of mobilizing functions, and the proportion of subjects with concordance between the dominant side of postural stability and mobilizing functions was high as 73%. These results support our second hypothesis described in the Introduction that, with increases of oscillation frequency, the postural stability of the dominant side for mobilizing functions would become greater than that of the nondominant side. In previous studies of dynamic balance during arm movements  and stepping , anticipatory activation of postural muscles in the supporting foot was different between the left and the right sides. Additionally, the dominant side of mobilizing function could diminish the disturbance efficiently and thus had high postural stability. Therefore, the main factor related to the lateral dominance of postural stability in the dynamic condition would be the lateral dominance of mobilization. However, in our present study, 38% of subjects with right-side dominance of postural stability in the no-oscillation condition changed their dominant side at 1.5-Hz oscillation. This suggests that not only mobilizing functions but also specialization of support function between left and right legs would affect the difference of postural control during single-leg stance between static and dynamic balance conditions.
It is possible that the right-side dominance for postural stability in dynamic balance condition is related to the functional lateral dominance between the left and right hemispheres. With regard to the laterality of the cerebral hemispheres, functional differences between the hemispheres are not found at low processing levels, but are clearly found at higher processing levels . The central nervous system for postural control is divided into reflex- and situation-dependent adaptation . The former is composed primarily of the brainstem, spinal cord and cerebellum and is closely involved in the control of static balance [26, 27]. The latter also incorporates the diencephalon, basal ganglia and cerebral cortex and is involved in the control of dynamic balance. The right hemisphere is dominantly involved in spatial perception and attentional function directed to somatosensory information, whereas the left hemisphere is dominantly involved in the cognition of sound duration and continuity and rhythm . During periodic floor oscillation, the anticipation of the regular postural disturbance is essential; thus, the left hemisphere may play a relatively important role.
In the oscillations from 0.5 to 1.25 Hz, no lateral dominance in the postural stability was observed. In addition, the ratio of amplitude of the frequency spectrum at the oscillation frequency to the amplitude of the frequency spectrum at 0.061 Hz significantly increased with oscillation frequencies over 0.5 Hz and significantly differed between oscillations at 1.25 and 1.5 Hz. The results of previous studies of the frequency spectrum of body sway during bipedal standing suggest that low-frequency components from 0 to 0.5 Hz would reflect the postural control by visual–vestibular system [20, 21], but high-frequency components >0.5 Hz by proprioception [21, 29]. Therefore, during high-frequency floor oscillation, the contribution of the visual system to postural control would be constant, but that of proprioception would increase from 1.25 to 1.5 Hz. It has been reported that the soleus showed continuous activation for maintenance of posture in no-oscillation or low-frequency floor oscillation, but burst activation for dynamic postural control in high-frequency floor oscillation . This would indicate that, in the 1.5-Hz condition, the dynamic elements for postural control would be strongly required to maintain postural stability. During repetitive movements such as hopping [30, 31], skipping rope  and free walking , efficient and stable motor control was observed when the movement was performed at relatively higher frequencies ≥1.5 Hz. Therefore, lateral dominance in postural stability may be observed in floor oscillations at frequencies >1.5 Hz, which may clarify the border of frequency for stability of dynamic postural control in single-leg stance. In future studies, we will address the lateral difference in postural stability at frequencies >1.5 Hz.
In static conditions, there was no lateral dominance of stability during single-leg stance. At 1.5-Hz oscillation, the highest frequency, right-side dominance of postural stability was recognized. The functional role in the supporting leg may be divided between the left and right legs according to the change in balance condition from static to dynamic.
- Grouios G, Hatzitaki V, Kollias N, Koidou I: Investigating the stabilising and mobilising features of footedness. Laterality. 2009, 14: 362-380.PubMedGoogle Scholar
- Harris AJ: Harris Tests of Lateral Dominance. 1958, New York: Psychological Corporation, 3Google Scholar
- Nachshon I, Denno D, Aurand S: Lateral preferences of hand, eye and foot: relation to cerebral dominance. Int J Neurosci. 1983, 18: 1-9.View ArticlePubMedGoogle Scholar
- Chapman JP, Chapman LJ, Allen JJ: The measurement of foot preference. Neuropsychologia. 1987, 25: 579-584.View ArticlePubMedGoogle Scholar
- Coren S: The lateral preference inventory for measurement of handedness, footedness, eyedeness, and earedness: norms for young adults. Bull Psychonm Soc. 1993, 31: 1-3.View ArticleGoogle Scholar
- Peters M: Footedness: asymmetries in foot preference and skill and neuropsychological assessment of foot movement. Psychol Bull. 1988, 103: 179-192.View ArticlePubMedGoogle Scholar
- Jonsson E, Seiger Å, Hirschfeld H: One-leg stance in healthy young and elderly adults: a measure of postural steadiness?. Clin Biomech. 2004, 19: 688-694.View ArticleGoogle Scholar
- Lin WH, Liu YF, Hsieh CC, Lee AJ: Ankle eversion to inversion strength ratio and static balance control in the dominant and non-dominant limbs of young adults. J Sci Med Sport. 2009, 12: 42-49.View ArticlePubMedGoogle Scholar
- Golomer E, Mbongo F: Does footedness or hemispheric visual asymmetry influence centre of pressure displacements?. Neurosci Lett. 2004, 367: 148-151.View ArticlePubMedGoogle Scholar
- Gstöttner M, Neher A, Scholtz A, Millonig M, Lembert S, Raschner C: Balance ability and muscle response of the preferred and nonpreferred leg in soccer players. Motor Control. 2009, 13: 218-231.PubMedGoogle Scholar
- Paillard T, Noé F, Rivière T, Marion V, Montoya R, Dupui P: Postural performance and strategy in the unipedal stance of soccer players at different levels of competition. J Athl Train. 2006, 41: 172-176.PubMed CentralPubMedGoogle Scholar
- Magnus R: Some results of studies in the physiology of posture I and II. Lancet. 1926, 2: 531-536. 585–588Google Scholar
- Fujiwara K, Ikegami H: [The characteristics of postural response in upright stance to the floor vibration] [in Japanese with English abstract]. Jpn J Phys Educ. 1984, 29: 251-261.Google Scholar
- Fujiwara K, Kiyota T, Maeda K, Horak FB: Postural control adaptability to floor oscillation in the elderly. J Physiol Anthropol. 2007, 26: 485-493.View ArticlePubMedGoogle Scholar
- Fujiwara K, Toyama H, Asai H, Miyaguchi A, Kunita K: Adaptability of postural control during floor vibration in the elderly. Posture and Gait: Proceedings of the 12th International Symposium on Vestibular and Neural Front. Edited by: Taguchi K, Igarashi M, Mori S. 1994, Amsterdam: Elsevier, 135-138.Google Scholar
- Fujiwara K, Toyama H, Kiyota T, Maeda K: Postural muscle activity patterns during standing at rest and on an oscillating floor. J Electromyogr Kinesiol. 2006, 16: 448-457.View ArticlePubMedGoogle Scholar
- Yiou E, Do MC: Control of mediolateral stability during rapid step initiation with preferred and non-preferred leg: Is it symmetrical?. Gait Posture. 2010, 32: 145-147.View ArticlePubMedGoogle Scholar
- Fujiwara K, Asai H, Kiyota N, Mammadova A: Relationship between quiet standing position and perceptibility of standing position in the anteroposterior direction. J Physiol Anthropol. 2010, 29: 197-203.View ArticlePubMedGoogle Scholar
- Elias LJ, Bryden MP: Footedness is a better predictor of language lateralisation than handedness. Laterality. 1998, 3: 41-51.PubMedGoogle Scholar
- Dichgans J, Mauritz KH, Allum JH, Brandt T: Postural sway in normal and atactic patients: analysis of the stabilising and destabilizing effects of vision. Agressologie. 1976, 17 (C Spec No): 15-24.PubMedGoogle Scholar
- Nagy E, Toth K, Janositz G, Kovacs G, Feher-Kiss A, Angyan L, Horvath G: Postural control in athletes participating in an ironman triathlon. Eur J Appl Physiol. 2004, 92: 407-413.View ArticlePubMedGoogle Scholar
- Buchanan JJ, Horak FB: Emergence of postural patterns as a function of vision and translation frequency. J Neurophysiol. 1999, 81: 2325-2339.PubMedGoogle Scholar
- Mezaour M, Yiou E, Le Bozec S: Does symmetrical upper limb task involve symmetrical postural adjustments?. Gait Posture. 2009, 30: 239-244.View ArticlePubMedGoogle Scholar
- Moscovitch M: Information processing and the cerebral hemispheres. Handbook of Behavioral Neurobiology, Volume 2: Neuropsychology. Edited by: Gazzaniga MS. 1979, New York: Plenum Press, 379-446.Google Scholar
- Mori S, Takakusaki K: Integration of posture and locomotion. Posture and Gait: Development, Adaptation and Modulation. Edited by: Amblard B, Berthoz A, Clarac F. 1988, New York: Elsevier, 341-354.Google Scholar
- Travis RC: An experimental analysis of dynamic and static equilibrium. J Exp Psychol. 1945, 35: 216-234.View ArticleGoogle Scholar
- Fujiwara K: Anticipatory postural control during arm movement and floor translation. J Phys Fitness Sports Med. 2013, 2 (2): 155-161.View ArticleGoogle Scholar
- Coghill RC, Gilron I, Iadarola MJ: Hemispheric lateralization of somatosensory processing. J Neurophysiol. 2001, 85: 2602-2612.PubMedGoogle Scholar
- Fujiwara K, Ikegami H: [Chronological changes in frequency component of body sway in upright stance] [in Japanese with English abstract]. Jpn J Hum Posture. 1984, 2: 81-88.Google Scholar
- Jones GM, Watt DG: Observations on the control of stepping and hopping movements in man. J Physiol. 1971, 219: 709-727.PubMed CentralView ArticlePubMedGoogle Scholar
- Taylor CR: Force development during sustained locomotion: a determinant of gait, speed and metabolic power. J Exp Biol. 1985, 115: 253-262.PubMedGoogle Scholar
- Yamaguchi H, Yamamoto K, Chihiro E, Hayata G, Miyakawa T, Onodera S: [Effect of different frequencies of skipping rope on elastic components of muscle and tendon in human triceps surae] [in Japanese with English abstract]. Jpn J Phys Fitness Sports Med. 2002, 51: 185-192.Google Scholar
- Sekiya N, Nagasaki H, Ito H, Furuna T: Optimal walking in terms of variability in step length. J Orthop Sports Phys Ther. 1997, 26: 266-272.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.