Accurate motion recognition is essential for assist devices such as exoskeletons to achieve human-robot communion. However, at present, the technology of lower limb pattern still has problems small amount data and low accuracy. In this paper, was taken object, surface electromyography (sEMG) signals five gaits going upstairs without weight, downstairs with walking on a level weight were collect...

In the recent era of technology, biomedical signals have been attracted lots attention regarding development rehabilitation robotic technology. The surface electromyography (SEMG) are fabulous utilized in field robotics. this context, SEMG acquired by twenty-five right-hand dominated healthy human subjects to discriminate various hand gestures. placement electrodes has done according predefined...

Introduction Class II malocclusions are commonly associated with some muscle disharmony and imbalance. Diagnosis of imbalance helps in treating the malocclusion as well preventing relapse treatment. The aim this study is to compare activity masseter temporalis patients skeletal division 1 varying overjet using surface electromyography (sEMG). Materials methods Ten subjects age range 18-35 years...

Although the value of high-density surface electromyography (sEMG) has already been proven in fundamental research and for specific diagnostic questions, there is as yet no broad clinical application. This is partly due to limitations of construction principles and application techniques of conventional electrode array systems. We developed a thin, highly flexible, two-dimensional multielectrod...

SPECIAL SECTION The Glazer Intrapelvic Surface Electromyography (SEMG) Protocol in a Case of Male Urinary Incontinence and a Case of Female Hypoactive Sexual Desire Disorder Claudia R. Hacad, PT, BCB-PMD and Howard I. Glazer, PhD, BCB-PMD Physiotherapy Coordinator of Female Urology and Voiding Dysfunction Division, Federal University of Sao Paulo, UNIFESP–Sao Paulo, Brazil. Manager of Urinary C...

The technology of EMG recording is relatively new. There are still limitations in detection and characterization of existing nonlinearities in the surface electromyography (SEMG). Wavelet packets are advance and effective method for analysing signal processing work. EMG signal represents the neuromuscular activities and analysis of EMG signals can lead to diagnose myopathy and neuropathy relate...

OBJECTIVES Commercial cow milking tasks, regardless of dairy size, have been documented in many regions of the world as strenuous work requiring high muscular effort, awkward positions, and task repetition. Large-herd dairies are common in the U.S., while Europe historically has mostly small-herd dairies. The objective of this study was to compare the upper limb muscle activity during milking t...

In human-machine interfaces (HMI), deep learning (DL) techniques such as convolutional neural networks (CNN), long-short term memory (LSTM) and the hybrid CNN-LSTM framework have been exploited for hand kinematics estimation using surface electromyography (sEMG). However, these DL only capture relationship between sEMG kinematics, but ignores prior knowledge of system. By contrast, Kalman filte...

Background. Type 2 diabetes mellitus (T2DM) is a common metabolic disease associated with pathophysiological changes in the neuromuscular system. The present study aimed to investigate effects of 6-week endurance training program on muscle strength, electrophysiological parameters, and functional activities T2DM patients. Methods. period was divided into 6 weeks without training. Twelve patient...