Abstract: Significant differences in surface electromyography (SEMG) have been reported between persons with low back pain (LBP) and normal, healthy controls. This manuscript presents a systematic meta-analytic review of studies examining SEMG differences between these groups. Forty-four articles were identified using MEDLINE and a review of reference lists in articles. For static SEMG, the lar...

TO THE EDITOR: Enoka and Duchateau (2) correctly call for caution when interpreting voluntary surface electromyography (sEMG) in terms of neural drive. If voluntary sEMG signals recorded during nonfatiguing isometric contractions depend on the number of motor units recruited, their firing rate, and their size (5), modeling found no direct association between neural drive and voluntary sEMG ampl...

UNLABELLED Significant differences in surface electromyography (SEMG) have been reported between persons with low back pain (LBP) and normal, healthy controls. This manuscript presents a systematic meta-analytic review of studies examining SEMG differences between these groups. Forty-four articles were identified using MEDLINE and a review of reference lists in articles. For static SEMG, the la...

Cortex-muscle coherence (CMC) reflects coupling between magnetoencephalography (MEG) and surface electromyography (sEMG), being strongest during isometric contraction but absent, for unknown reasons, in some individuals. We used a novel nonmagnetic high-density sEMG (HD-sEMG) electrode grid (36 mm × 12 mm; 60 electrodes separated by 3 mm) to study effects of sEMG recording site, electrode deriv...

The Prosthetic is a branch of biomedical engineering that deals with missing human body parts with artificial one. SEMG powered prosthetic required SEMG signals. The SEMG is a common method of measurement of muscle activity. The analysis of SEMG signals depends on a number of factors, such as amplitude as well as time and frequency domain properties. In the present work, the study of SEMG signa...

–This paper is concerned with studying human ankle movement based on surface electromyographic(sEMG) signals. The sEMG signals were collected from muscles of normal subjects when they moved their ankle flexion-extension. Two types of movement were designed including bending and extending. Analysis of sEMG(surface electromyogram) centered on two features; magnitude of activation & the degree of ...

Control of the lumbar spine requires contributions from both the active and passive sub-systems. Identifying interactions between these systems may provide insight into the mechanisms of low back pain. However, as a first step it is important to investigate what is normal. The purpose of this study was to explore the relationships between the lumbar inter-vertebral range of motion and paraspina...

Our recent efforts towards developing a practical surface electromyography (sEMG) based silent speech recognition interface have resulted in significant advances in the hardware, software and algorithmic components of the system. In this paper, we report our algorithmic progress, specifically: sEMG feature extraction parameter optimization, advances in sEMG acoustic modeling, and sEMG sensor se...

In this research, surface electromyography (SEMG) signal analysis from the right rectus femoris muscle is performed during walk. Wavelet transform (WT) has been applied for removing noise from the surface SEMG. Gaussianity tests are conducted to understand changes in muscle contraction and to quantify the effectiveness of the noise removal process. Results show that the proposed method can effe...

A surface electromyogram (sEMG) contains information about physiological and morphological characteristics of the active muscle and its neural strategies. Because the electrodes are situated on the skin above the muscle, the sEMG is an easily obtainable source of information. However, different combinations of physiological and morphological characteristics can lead to similar sEMG signals and ...