Motion Analysis and EMG Analysis of the Pelvis and Lower Extremity according to the Width Variation of the Base of Support

Yoo, Kyung Tae; Yoon, Jung Gyu; Park, Bo Kyung; Han, Hae Rin; Yun, Young Dae; Lee, Sang Bin

doi:10.5854/jiaptr.2012.3.1.391

Cited by 2 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…24 In the previous studies about postural control relation to the size of the bases, we know that the narrower the base, the lesser stable postural stability, and the wider the displacement area. 25 Kyung et al 11 studied the effects of different bases on the body. And they found that as the area of bases becomes larger, the perturbation of body becomes bigger too.…”

Section: Discussionmentioning

confidence: 99%

“…So, postural stability is increased So, postural stability is increased. 11,26 From the previous studies, we know that area size of the base is connected with postural stability. And then, we know that there were many previous studies of COP displacement characteristics or muscle onset time which reflects the APA characteristics of postural muscle.…”

Section: Discussionmentioning

confidence: 99%

“…And the center of gravity (COG) is a point So, the postural stability is more increased when the BOS is widened by feet. 11 In other words, the difference of base area changes the postural stability and changes the strategy of postural adjustment. The balance error scoring system (BESS) is one of the assessment tools which are designed for assessment of postural stability.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Effect of the Base of Support on Anticipatory Postural Adjustment and Postural Stability

Nam

Lim

2017

J Kor Phys Ther

View full text Add to dashboard Cite

Purpose: This study was to identify the anticipatory postural adjustment (APA) mechanism which is represented by the onset time of trunk muscles and the displacement of the center of pressure (COP) according to the different base of support (BOS) during upper extremity movement. Methods: Thirty healthy subjects (14 males, 16 females) participated in this study. The movement was performed for 10 trials during each of various BOS (shoulder -width double leg stance, narrow base double leg stance, tandem stance, non-dominant single leg stance) at the 1.2 Hz frequency. Electromyography was used to measure muscle onset time and biorescue was used to measure characteristics of the displacement of COP. Surface bipolar electrodes were applied over the right deltoid anterior, right latissimus dorsi, both rectus abdominis, both internal oblique and both erector spinae. The data were analyzed by repeated one-way ANOVA and Duncan's post hoc test. Results: The study has revealed following. There were significant differences with muscle onset time in each BOS (p< 0.01). There were significant differences in characteristics of the COP in each BOS (p< 0.01). Conclusion:The study found that the more narrowed the basis requires the more rapid anticipatory postural control in contralateral postural muscle when the upper extremity movement is performed.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Effect of the Base of Support on Anticipatory Postural Adjustment and Postural Stability

Nam

Lim

2017

J Kor Phys Ther

View full text Add to dashboard Cite

show abstract

A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution

Hayashi

Furui

Kurita

et al. 2017

IEEE Trans. Biomed. Eng.

View full text Add to dashboard Cite

This paper describes the formulation of a surface electromyogram (EMG) model capable of representing the variance distribution of EMG signals. In the model, EMG signals are handled based on a Gaussian white noise process with a mean of zero for each variance value. EMG signal variance is taken as a random variable that follows inverse gamma distribution, allowing the representation of noise superimposed onto this variance. Variance distribution estimation based on marginal likelihood maximization is also outlined in this paper. The procedure can be approximated using rectified and smoothed EMG signals, thereby allowing the determination of distribution parameters in real time at low computational cost. A simulation experiment was performed to evaluate the accuracy of distribution estimation using artificially generated EMG signals, with results demonstrating that the proposed model's accuracy is higher than that of maximum-likelihood-based estimation. Analysis of variance distribution using real EMG data also suggested a relationship between variance distribution and signal-dependent noise. The study reported here was conducted to examine the performance of a proposed surface EMG model capable of representing variance distribution and a related distribution parameter estimation method. Experiments using artificial and real EMG data demonstrated the validity of the model. Variance distribution estimated using the proposed model exhibits potential in the estimation of muscle force. This paper describes the formulation of a surface electromyogram (EMG) model capable of representing the variance distribution of EMG signals. In the model, EMG signals are handled based on a Gaussian white noise process with a mean of zero for each variance value. EMG signal variance is taken as a random variable that follows inverse gamma distribution, allowing the representation of noise superimposed onto this variance. Variance distribution estimation based on marginal likelihood maximization is also outlined in this paper. The procedure can be approximated using rectified and smoothed EMG signals, thereby allowing the determination of distribution parameters in real time at low computational cost. A simulation experiment was performed to evaluate the accuracy of distribution estimation using artificially generated EMG signals, with results demonstrating that the proposed model's accuracy is higher than that of maximum-likelihood-based estimation. Analysis of variance distribution using real EMG data also suggested a relationship between variance distribution and signal-dependent noise. The study reported here was conducted to examine the performance of a proposed surface EMG model capable of representing variance distribution and a related distribution parameter estimation method. Experiments using artificial and real EMG data demonstrated the validity of the model. Variance distribution estimated using the proposed model exhibits potential in the estimation of muscle force.

show abstract

Motion Analysis and EMG Analysis of the Pelvis and Lower Extremity according to the Width Variation of the Base of Support

Cited by 2 publications

References 6 publications

The Effect of the Base of Support on Anticipatory Postural Adjustment and Postural Stability

The Effect of the Base of Support on Anticipatory Postural Adjustment and Postural Stability

A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution

Contact Info

Product

Resources

About