Automatic analysis of human posture equilibrium using empirical mode decomposition

Safi, Khaled; Mohammed, Samer; Albertsen, Inke Marie; Deléchelle, E.; Khalil, Mohamad; Hutin, Émilie

doi:10.1007/s11760-017-1061-3

Cited by 8 publications

(10 citation statements)

References 31 publications

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“…EMD utilises the characteristic time scales in signals to define the vibrational mode and provide good vibrational mode analyses. A non-zero mean signal can also be used, and the decomposition procedure is termed sifting process [ 16 , 17 , 18 ], which is as follows:…”

Section: Methodsmentioning

confidence: 99%

The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index

Wang

Jiang

Huang

2018

Entropy

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The aim of this study is to see if the centre of pressure (COP) measurements on the postural stability can be used to represent the electromyography (EMG) measurement on the activity data of lower limb muscles. If so, the cost-effective COP data measurements can be used to indicate the level of postural stability and lower limb muscle activity. The Hilbert-Huang Transform method was used to analyse the data from the experimental designed to examine the correlation between lower-limb muscles and postural stability. We randomly selected 24 university students to participate in eight scenarios and simultaneously measured their COP and EMG signals during the experiments. The Empirical Mode Decomposition was used to identify the intrinsic-mode functions (IMF) that can distinguish between the COP and EMG at different states. Subsequently, similarity indices and synchronization analyses were used to calculate the correlation between the lower-limb muscle strength and the postural stability. The IMF5 of the COP signals and the IMF6 of the EMG signals were not significantly different and the average frequency was 0.8 Hz, with a range of 0-2 Hz. When the postural stability was poor, the COP and EMG had a high synchronization with index values within the range of 0.010-0.015. With good postural stability, the synchronization indices were between 0.006 and 0.080 and both exhibited low synchronization. The COP signals and the low frequency EMG signals were highly correlated. In conclusion, we demonstrated that the COP may provide enough information on postural stability without the EMG data.

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Section: Methodsmentioning

confidence: 99%

The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index

Wang

Jiang

Huang

2018

Entropy

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show abstract

“…Secondly, the normalisation process was performed by subtracting each measurement signal from the average so that the change in F B and COP B signals could be displayed more clearly. In (4) and 5, one of the time analysis methods was used to calculate the standard deviations…”

Section: Signal Preprocessingmentioning

confidence: 99%

“…Differences were calculated by calculating standard deviation variations of F x , F y , COP x and COP y components as in (4) and (5) in scatter plots. Thus, the signals F x STD , F y STD , COP x STD and COP y STD were obtained.…”

Section: Signal Preprocessingmentioning

confidence: 99%

“…With ageing, many neurodegenerative diseases such as Parkinson's disease, Huntington's disease and cerebellar ataxia increase the imbalance in postural control, leading to greater balance problems. In addition, disorders of balance are common in populations such as hearing loss, neck pain, postoperative, cancer, joint damage and chronic obstructive pulmonary disease [4][5][6]. These increase uncontrolled balance limits and the possibility of the loss of balance.…”

Section: Introductionmentioning

confidence: 99%

“…It has also been shown that the stabilogram signals are considered as non-stationary signals. It has been stated that COP can be analysed by empirical mode decomposition through time series, and it can be adapted to intrinsic mode functions and important differences can be observed for elderly-young, femalemale groups [4,21,22]. Standard Fourier transform was used to analyse human posture stability.…”

Section: Introductionmentioning

confidence: 99%

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Automatic analysis of human posture equilibrium using empirical mode decomposition

Cited by 8 publications

References 31 publications

The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index

The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index

Investigating effects of force and pressure centre signals on stabilogram analysis

Digital Device for the Computer Stabilometry Based on the Microcontroller ATmega328

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