Effect of increasing difficulty in standing balance tasks with visual feedback on postural sway and EMG: Complexity and performance

Barbado, David; Solana, Rafael Sabido; Vera-García, Francisco J.; Gusi, Narcís; Moreno, Francisco J. Magraner

doi:10.1016/j.humov.2012.01.002

Cited by 47 publications

(35 citation statements)

References 44 publications

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“…MSFuzzyEn at large time scales showed that an increase in task demands elicited more complex movement trajectories as a consequence of more unpredictable muscle firing patterns. Our results were consistent with a previous study where a decline in the FuzzyEn of postural sway and EMG signals from a stable condition to an unstable condition was found during different standing balance tasks [9]. Nevertheless, Morrison et al [8] observed an inverse relationship in ApEn between postural sway and EMG signals towards different task demands.…”

Section: Effects Of Task Demands On Trajectories and Emg Signalssupporting

confidence: 93%

“…Moreover, as Morrison et al reported, there was also compensation of the complexity between postural sway and EMG signals towards different task demands [8]. Nevertheless, Barbado et al observed a contrary result between the complexity of postural sway and EMG signals during different standing balance tasks [9].…”

Section: Introductionmentioning

confidence: 95%

“…Based on the MSFuzzyEn analysis in our study, the FuzzyEn at smaller time scales was easily affected by uncorrelated noise. Since the two previous studies used single-scale entropies [8,9], their conflicting results may have been due to uncorrelated noise. Therefore, MSFuzzyEn analysis, especially at larger time scales, can provide a comprehensive analysis of physiological signals, and minimize the interference of uncorrelated noise.…”

Section: Effects Of Task Demands On Trajectories and Emg Signalsmentioning

confidence: 99%

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Effects of Task Demands on Kinematics and EMG Signals during Tracking Tasks Using Multiscale Entropy

Song

2017

Entropy

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Target-directed elbow movements are essential in daily life; however, how different task demands affect motor control is seldom reported. In this study, the relationship between task demands and the complexity of kinematics and electromyographic (EMG) signals on healthy young individuals was investigated. Tracking tasks with four levels of task demands were designed, and participants were instructed to track the target trajectories by extending or flexing their elbow joint. The actual trajectories and EMG signals from the biceps and triceps were recorded simultaneously. Multiscale fuzzy entropy was utilized to analyze the complexity of actual trajectories and EMG signals over multiple time scales. Results showed that the complexity of actual trajectories and EMG signals increased when task demands increased. As the time scale increased, there was a monotonic rise in the complexity of actual trajectories, while the complexity of EMG signals rose first, and then fell. Noise abatement may account for the decreasing entropy of EMG signals at larger time scales. This study confirmed the uniqueness of multiscale entropy, which may be useful in the analysis of electrophysiological signals.

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Section: Effects Of Task Demands On Trajectories and Emg Signalssupporting

confidence: 93%

Section: Introductionmentioning

confidence: 95%

Section: Effects Of Task Demands On Trajectories and Emg Signalsmentioning

confidence: 99%

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Effects of Task Demands on Kinematics and EMG Signals during Tracking Tasks Using Multiscale Entropy

Song

2017

Entropy

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“…Some studies have measured the complexity of COP through the predictability of the signal (Barbado et al, 2012;Borg & Laxaback, 2010;Duarte & Sternad, 2008;Stergiou & Decker, 2011). For this purpose, the most used nonlinear measure has been approximate entropy (ApEn; Pincus, 1991).…”

Section: What Cop and Kinematic Parameters Bettermentioning

confidence: 99%

What COP and Kinematic Parameters Better Characterize Postural Control in Standing Balance Tasks?

Caballero¹,

Barbado²,

Moreno³

2015

Journal of Motor Behavior

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The authors' aim was to determine which variables allow for the characterization of motor balance behavior. Traditional measures and nonlinear measures of center of pressure (COP; n = 30) and kinematics (n = 10) were tested in their absolute and relative consistency in a 30-s standing balance task protocol under stable and unstable conditions. Regarding COP variables, mean velocity (mVel), permutation entropy (PE) and detrended fluctuation analysis (DFA) exhibited high consistency between trials and ranked individuals more accurately compare with other metrics. In the kinematic signal mVel, PE and DFA had good intrasession reliability values in unstable conditions. Overall, the intrasession reliability values were better in the unstable condition than in the stable condition and the measures calculated using derived data had better intrasession reliability values. In conclusion, mVel, PE, and DFA allow for the good characterization of motor balance behavior in a simplified protocol where velocity time series are analyzed.

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“…The subjects were taught to land on their toes and do not jump before landing. During the performance of the drop-landing task, the surface EMG device (Megawin model) recorded the activity of gluteus maximus, gluteus medius and rectus femoris muscles in the hip and lateral gastrocnemius, peroneus longus and tibialis anterior muscles in the ankle [25][26][27]. The muscle feedback activity was analyzed before initial ground contact until 250 m/s after ground contact [28].…”

Section: Methodsmentioning

confidence: 99%

The Effect of Aquatic Balance Exercise With Weighted Vest on the Balance Recovery Strategy of Middle-Aged Women

Rahmani

Barati

Hovanloo

2018

PTJ

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Purpose: Disturbances in balance and also regaining the balance strategy is very important in the middle-aged women who are near their menopause and subject to severe hormonal and physiological changes, reduced muscle strength, and decreased bone density. The purpose of this study was to investigate the effect of balance training in the water with and without the weighted vest on the balance recovery strategy of middle-aged women affected with a balance disorder. Methods: Present study was a quasi-experimental study conducted on 26 middle-aged women. They were selected by convenience sampling method and randomly divided into two groups: balance training group in water with weighted vest (13 women), and balance training group in water without weighted vest (13 people). In order to assess the balance strategy recovery, the electromyography activity of the gluteus maximus, gluteus medius, and rectus femoris muscles around the hip joint and lateral gastrocnemius, peroneus longus, and anterior tibialis muscles around the ankle joint was recorded during the drop-landing task. The water balance training was performed for 6 weeks, three sessions per week, each session for 45 minutes. After 6 weeks of training, all pretest stages were repeated in the post-test. Shapiro-Wilk and ANCOVA tests were used for analyzing the obtained data. The significance level was set at 0.05 for all tests. Results: The Independent t test results showed no significant difference between demographic information of the two groups (P<0.05). The results of ANCOVA showed that the recovery balance strategy of middle-aged women in the group of water balance training with weighed shirt had significantly improved (P<0.05). Also, the eta coefficient was 0.76 which indicates relatively large amount of impact exercises. Conclusion: Doing balance exercises in water with weighted vest can well affect balance factors and improve the recovery balance strategy of middle-aged people. Therefore, in order to prevent disturbance in the balance and falling with increasing age, it is recommended to take advantage of water balance exercises with weighted vest in the middle-aged period.

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Effect of increasing difficulty in standing balance tasks with visual feedback on postural sway and EMG: Complexity and performance

Cited by 47 publications

References 44 publications

Effects of Task Demands on Kinematics and EMG Signals during Tracking Tasks Using Multiscale Entropy

Effects of Task Demands on Kinematics and EMG Signals during Tracking Tasks Using Multiscale Entropy

What COP and Kinematic Parameters Better Characterize Postural Control in Standing Balance Tasks?

The Effect of Aquatic Balance Exercise With Weighted Vest on the Balance Recovery Strategy of Middle-Aged Women

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