In lower-limb rehabilitation, human action recognition (HAR) technology can be introduced to analyze the surface electromyography (sEMG) signal generated by movements, which provide an objective and accurate evaluation of patient’s action. To balance long cycle required for rehabilitation inconvenient factors brought wearing sEMG devices, a portable acquisition device was developed that used un...

Wavelet analysis is often very effective because it provides a simple approach for dealing with local aspects of a signal. Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development, and modern human computer interaction. EMG signals acquired from muscles require advanced methods for detection, decomposition, processing, and classi...

This study aimed to assess by surface electromyography (sEMG) the changes in sub-mental, orbicularis oris, and masticatory muscle activity after a lingual frenulectomy. Rehabilitation exercises in subjects with ankyloglossia, characterized by Class I malocclusion, were assessed as well. A total of 24 subjects were selected. Thirteen subjects (mean age 7±2.5years) with Class I malocclusion and a...

This paper presents an adaptive Fuzzy Sliding Mode Control approach for Assist-as-Needed (AAN) strategy to achieve effective human–exoskeleton synergy. The proposed employs instance-based learning algorithm estimate muscle effort, based on surface Electromyography (sEMG) signals. To determine and control the inverse dynamics of a highly nonlinear 4-degrees-of-freedom exoskeleton designed upper-...

Recently, surface electromyography (sEMG) emerged as a novel biometric authentication method. Since EMG system parameters, such the feature extraction methods and number of channels, have been known to affect performances, it is important investigate these effects on performance sEMG-based determine optimal parameters. In this study, three robust methods, Time-domain (TD) feature, Frequency Div...

OBJECTIVE To provide an overview of the continuum of muscular responses that typically occur with joint perturbation. The applications and limitations of surface electromyography (sEMG) in evaluating these responses are also addressed. Research applications assessing sex differences in these neuromuscular response characteristics are discussed along with suggestions for future research. DATA ...

Electromyographic signals contaminated with noise during the acquisition process affect results of follow-up applications such as disease diagnosis, motion recognition, gesture and human–computer interaction. This paper proposes a denoising technique based on variational mode decomposition (VMD) for both surface electromyography (sEMG) intramuscular (iEMG). sEMG iEMG obtained from 5 healthy sub...

Background: The shoulder joint, being the most mobile joint in the body, is often affected by instability. Shoulder instability is a symptomatic, abnormal motion of the glenohumeral joint which can result in pain, subluxation or dislocation. Surgery and physiotherapy both have a place in the management of shoulder instability. However, identifying the cause of the instability is essential to de...

Electromyography is the most objective and reliable technique for evaluating muscle function and efficiency by detecting their electrical potentials. It makes it possible to assess the extent and duration of muscle activity. The main aim of surface electromyography is to detect signals from many muscle fibers in the area of the detecting surface electrodes. These signals consist of a weighted s...