The aim of the present study was to evaluate intra-day (test) and inter-day (re-test) reliability of surface electromyography (sEMG) signals of the masseter and temporal muscles in patients with Down syndrome (DS). We determined the reliability of sEMG variables in 33 patients with DS. EMG signals were recorded at rest as well as during maximum voluntary clenching and maximum habitual intercuspation (MHI). The signals were analyzed considering the amplitude in the root mean square (RMS), mean frequency (MNF), median frequency (MDF) and approximate entropy (ApEn). The intraclass correlation (ICC) for the three trials recorded during MHI in the two sessions (test and retest) revealed excellent intra-session and inter-session reliability (ICC = 0.76 to 0.97) for all sEMG variables and muscles. In the rest position, excellent reliability was found for RMS and ApEn (ICC = 0.75 to 1.00) and good to excellent reliability was found for MDF and MNF (ICC = 0.64 to 0.93). The intra-session (test) and inter-session (re-test) analyses demonstrated the reliability of nonlinear sEMG variables of the masticatory muscles in adults with Down Syndrome.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198527PMC
http://dx.doi.org/10.1038/s41598-020-63963-zDOI Listing

Publication Analysis

Top Keywords

semg variables
12
masseter temporal
8
temporal muscles
8
muscles patients
8
patients syndrome
8
excellent reliability
8
reliability
7
intra-day inter-day
4
inter-day reliability
4
reliability measurements
4

Similar Publications

Studies on the hysteresis of trunk muscles-Muscular specificities must be taken into account.

PLoS One

December 2024

Division of Motor Research, Pathophysiology and Biomechanics, Experimental Trauma Surgery, Department for Hand, Reconstructive, and Trauma Surgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany.

Hysteresis refers to a physical phenomenon in which the response or state of a system depends on both the input variable and its history. Hysteresis phenomena are also observed in biological systems and have been described for the sensorimotor system. The aim of the present study was to determine whether hysteresis phenomena can also be detected in trunk muscles during isometric load-varying situations.

View Article and Find Full Text PDF

This paper introduces the Spatio-Temporal Cross Network (STCNet), a novel deep learning architecture tailored for robust hand gesture recognition in surface electromyography (sEMG) across multiple subjects. We address the challenges associated with the inter-subject variability and environmental factors such as electrode shift and muscle fatigue, which traditionally undermine the robustness of gesture recognition systems. STCNet integrates a convolutional-recurrent architecture with a spatio-temporal block that extracts features over segmented time intervals, enhancing both spatial and temporal analysis.

View Article and Find Full Text PDF

Intramuscular (iEMG) and surface electromyographic (sEMG) signals have been compared previously using predictive regression equations, finite element modeling, and correlation and cross-correlation analyses. Although subcutaneous fat thickness (SCFT) has been identified as a primary source of sEMG signal amplitude attenuation and low-pass filter equivalence, few studies have explored the potential effect of SCFT on sEMG and iEMG signal characteristics. The purpose of this study was to investigate the relationship between normalized submaximal iEMG and sEMG signal amplitudes collected from 4 muscles (rectus femoris, vastus lateralis, infraspinatus, and erector spinae) and determine whether SCFT explains more variance in this relationship.

View Article and Find Full Text PDF

Real-time adaptive cancellation of TENS feedback artifact on sEMG for prosthesis closed-loop control.

Front Bioeng Biotechnol

November 2024

HRI2, Istituto Italiano di Tecnologia, Genoa, Italy.

Article Synopsis
  • * An adaptive artifact removal technique was proposed that uses a modified least-mean-square filter, leveraging previous artifact data for more effective cancellation across different frequencies and pulse widths of TENS.
  • * Validation tests with 12 participants showed a significant improvement in Signal-to-Noise Ratio (SNR) by 10.3 dB, restoring prosthetic control performance to levels comparable to those without TENS interference.
View Article and Find Full Text PDF

Repetitive muscle silent periods in acute post-anoxic brain injury: A novel phenotype of negative myoclonus.

Clin Neurophysiol

January 2025

Epilepsy Center, Neurological Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA; Department of Neurology, Case Western Reserve University School of Medicine, Cleveland, OH, USA. Electronic address:

Objective: To report a novel phenotype of negative myoclonus in acute post-anoxic brain injury (PABI).

Methods: We performed a retrospective analysis of 18-channel video-EEG and surface-EMG (sEMG) recordings of three patients with PABI. sEMG electrodes were placed on the neck, bulbar and arm muscles.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!