In recent years, surface electromyography (sEMG) signals which reflect directly human muscle activity have played a significant role in control of a lower extremity exoskeleton system. Our study concentrates on simulation and processing techniques of sEMG signal that we are applying to our exoskeleton robot. Simulation and experiment results are presented and analyzed deeply to validate the tec...

This paper is an introduction to a workshop on electrodes location and specific exercises. Selectivity of EMG electrodes depends on their interspacing, their conductive area and axis direction with respect to the direction of the underlying muscular fibres. Minimal cross talk area (MCA) helps to limit or avoid crosstalk from neighbouring muscles. We present examples of MCA and typical sEMG patt...

Objectives The objective of this research was to analyze the functional changes of lower limbs by means of surface electromyography in patients with acquired immunodeficiency syndrome. Methods A total of 60 men and women (age mean of 36.77 ± 9.33 years) were divided into two groups: 30 individuals with human immunodeficiency virus group (HIVG) Subtype 1 and 30 healthy individuals control grou...

The electrocardiography (ECG) artifact corrupts the surface electromyography (sEMG) signals recorded from the trunk area We assessed the effectiveness of three methods used to remove the ECG. We compared the performance of bandpass filtering methods, the commonly used mathematical morphology operator (MMO) method and the Adaptive filter on both simulationed and real sEMG data. False positive an...

This paper represents the first part of our work in which a successful exoskeleton system has been designed. With this design, the concentration is on effects of compliant human – exoskeleton robot on kinematics and muscle activity during human walking with or without carrying loads. In order to achieve these aims, two control methods are used: kinematic and surface electromyography (sEMG) – ba...

In this paper, we propose a hand shape recognition method using the sEMG (surface electromyography) of the upper extremity. The upper extremity sEMG is acquired using Myo which is a wearable device. The target hand shapes are three: Rock, Paper, and Scissors. For hand shape recognition, four features obtained with FFT and wavelet transform are used. SVM and an improved k-NN are used for classif...

Surface electromyography (sEMG) measures myoelectrical signals recorded from sensors placed on the skin surface. The non-invasive nature of sEMG makes it a potentially useful technology for studying diseases of muscle and nerve. Reviews published by the American Association of Neuromuscular and Electrodiagnostic Medicine (AANEM) and the Therapeutics and Technology Assessment Subcommittee of the...

Recent research suggests that surface electromyography (SEMG) abnormalities during flexion are highly associated with low back pain, and specific treatments that target these abnormalities are beginning to emerge in the literature. This article describes one such treatment that uses a device called the MyoRackTM to decrease muscle tension in the low back and improve strength and flexibility in ...

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...

Several experiences were applied highlighting some great benefits of utilizing muscle sign in order to manage rehabilitation contraptions. This paper offers an investigating surface electromyography (sEMG) signal for classification of hand gestures to manipulate a prosthetic hand using neural networks. We assess the use of two channel surface electromyography to classify twelve person finger ge...