Fast generation model of high density surface EMG signals in a cylindrical conductor volume

Carriou, Vincent; Boudaoud, Sofiane; Laforêt, Jérémy; Ayachi, Fouaz Sofiane

doi:10.1016/j.compbiomed.2016.04.019

Cited by 37 publications

(35 citation statements)

References 28 publications

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“…For this purpose, we proposed a first global sensitivity analysis based on the EEM. The 64 simulated signals per grid are generated using a recent multilayered cylinder muscle model [1]. This model allowed us to compute all the signals on the same potential surface map provided by the DOE definition which describes the different electrode grid to model, from the EEM.…”

Section: Discussionmentioning

confidence: 99%

“…An analytical model describing a muscle as a multilayered cylinder is used in this work [1]. This muscle geometry is reported in Fig.…”

Section: Conductor Volume Transfer Functionmentioning

confidence: 99%

“…Actually, models allow us the access to electromyographic data corresponding to several physiological contexts and specific motor control strategies that are hardly evaluated in experimental conditions. The investigation of the changes of sEMG signal features according to physiological mechanisms and instrumentation parameters are easier and faster with analytical models rather than numerical models [1,2].…”

Section: Introductionmentioning

confidence: 99%

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Sensitivity analysis of HD-sEMG amplitude descriptors relative to grid parameter variations of a cylindrical multilayered muscle model

Carriou¹,

Laforêt²,

Boudaoud³

et al. 2016

Biomed. Phys. Eng. Express

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The aim of this work is to perform a sensitivity analysis of a high density surface electromyogram (HD-sEMG) amplitude descriptors according to several grid parameters. This study is motivated by the fact that the electrode grid position and layout are crucial to record relevant electromyographic data. For this purpose, an analytical limb model is used, where the upper limb is modeled as a multilayered cylinder with three layers: muscle, fat tissue and skin tissue. Using this model, HD-sEMG signals are computed over the skin as a 2D surface along angular and longitudinal directions. Electrode recording is performed through a surface integration on the 2D surface according to the electrode shape. 16 simulations on 10 anatomies (350 Motor Units) with the same parameters were computed for 3 constant contraction levels: 30%, 50% and 70% of the Maximal Voluntary Contraction (MVC). Then, a global sensitivity analysis using the Elementary Effect Method is performed to explore the sensitivity of amplitude descriptors (Average Rectified Value, Root Mean Square value and High Order Statistics) relative to varying parameters from the electrode grid (inter-electrode distances, electrodes radius, position and rotation). From those grid definitions, monopolar, bipolar and laplacian signals are also computed to see the electrode arrangement sensitivity. The obtained results exposed a huge impact of the grid rotation on the studied criteria. They also showed that parameters specific to the electrode grid layout (inter-electrode distances) have the less impact. Moreover, they exhibited the laplacian arrangement as the most sensitive electrode arrangement to grid modifications.

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Section: Discussionmentioning

confidence: 99%

“…An analytical model describing a muscle as a multilayered cylinder is used in this work [1]. This muscle geometry is reported in Fig.…”

Section: Conductor Volume Transfer Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sensitivity analysis of HD-sEMG amplitude descriptors relative to grid parameter variations of a cylindrical multilayered muscle model

Carriou¹,

Laforêt²,

Boudaoud³

et al. 2016

Biomed. Phys. Eng. Express

Self Cite

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“…to the EMG model, the decomposition performance under different conditions can be quantitatively analyzed. However, although the simulated EMG signals can be very close to experimental ones with advances in (both intramuscular and surface) EMG simulation, [37][38][39][40] simulated EMG signals are not equal and cannot ultimately replace the experimental EMG for the evaluation of the decomposition performance. Therefore, it still remains a limitation for the simulation-based assessment that the reliability of the decomposition accuracy depends on the realism of the simulation.…”

Section: Introductionmentioning

confidence: 99%

Two-Source Validation of Progressive FastICA Peel-Off for Automatic Surface EMG Decomposition in Human First Dorsal Interosseous Muscle

Chen

Zhang

et al. 2018

Int. J. Neur. Syst.

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This study aims to assess the accuracy of a novel high density surface electromyogram (SEMG) decomposition method, namely automatic progressive FastICA peel-off (APFP), for automatic decomposition of experimental electrode array SEMG signals. A two-source method was performed by simultaneous concentric needle EMG and electrode array SEMG recordings from the human first dorsal interosseous (FDI) muscle, using a protocol commonly applied in clinical EMG examination. The electrode array SEMG was automatically decomposed by the APFP while the motor unit action potential (MUAP) trains were also independently identified from the concentric needle EMG. The degree of agreement of the common motor unit (MU) discharge timings decomposed from the two different categories of EMG signals was assessed. A total of 861 and 217 MUs were identified from the 114 trials of simultaneous high density SEMG and concentric needle EMG recordings, respectively. Among them 168 common (MUs) were found with a high average matching rate of [Formula: see text] for the discharge timings. The outcomes of this study show that the APFP can reliably decompose at least a subset of MUs in the high density SEMG signals recorded from the human FDI muscle during low contraction levels using a protocol analog to clinical EMG examination.

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“…High-density sEMG (HD sEMG) is non-invasive technique to measure electrical muscle activity with a large number of closely spaced electrodes overlying an area of the skin [ 27 , 28 ]. The method of HD sEMG have been utilized in a number of studies to obtain fine electrophysiological information on activities of muscles by using a two-dimension (2D) electrode array [ 29 – 34 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps

Zhu¹,

Yu²,

Yang³

et al. 2017

BioMed Eng OnLine

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BackgroundSwallowing is a continuous process with substantive interdependencies among different muscles, and it plays a significant role in our daily life. The aim of this study was to propose a novel technique based on high-density surface electromyography (HD sEMG) for the evaluation of normal swallowing functions.MethodsA total of 96 electrodes were placed on the front neck to acquire myoelectric signals from 12 healthy subjects while they were performing different swallowing tasks. HD sEMG energy maps were constructed based on the root mean square values to visualize muscular activities during swallowing. The effects of different volumes, viscosities, and head postures on the normal swallowing process were systemically investigated by using the energy maps.ResultsThe results showed that the HD sEMG energy maps could provide detailed spatial and temporal properties of the muscle electrical activity, and visualize the muscle contractions that closely related to the swallowing function. The energy maps also showed that the swallowing time and effort was also explicitly affected by the volume and viscosity of the bolus. The concentration of the muscular activities shifted to the opposite side when the subjects turned their head to either side.ConclusionsThe proposed method could provide an alternative method to physiologically evaluate the dynamic characteristics of normal swallowing and had the advantage of providing a full picture of how different muscle activities cooperate in time and location. The findings from this study suggested that the HD sEMG technique might be a useful tool for fast screening and objective assessment of swallowing disorders or dysphagia.

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Fast generation model of high density surface EMG signals in a cylindrical conductor volume

Cited by 37 publications

References 28 publications

Sensitivity analysis of HD-sEMG amplitude descriptors relative to grid parameter variations of a cylindrical multilayered muscle model

Sensitivity analysis of HD-sEMG amplitude descriptors relative to grid parameter variations of a cylindrical multilayered muscle model

Two-Source Validation of Progressive FastICA Peel-Off for Automatic Surface EMG Decomposition in Human First Dorsal Interosseous Muscle

Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps

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