BACKGROUND Fear of frailty is a main concern for seniors. Surface electromyography (sEMG) controlled assistive devices for the upper extremities could potentially be used to augment seniors' force while training their muscles and reduce their fear of frailty. In fact, these devices could both improve self confidence and facilitate independent leaving in domestic environments. The successful imp...

The increase of surface electromyography (sEMG) root-mean-square (RMS) is very frequently used to determine fatigue. However, as RMS is also influenced by muscle force,its effective usage as indicator of fatigue is mainly limited to isometric, constant force tasks.This research develops a simple methodto preclude the effect of muscle force, hereby estimates the EMG amplitude response exclusivel...

The surface Electromyography (sEMG) signal is affected by different sources of noises: current technology is considerably robust to the interferences of the power line or cable motion artifacts, but still there are many limitations in denoising the baseline. In this paper we introduce a new technique, named Baseline Adaptive Denoising Algorithm (BADA), for denoising the sEMG signal by wavelet t...

Current tendency of electromyography (EMG)-based prosthetic hand is to enable the user to perform complex grasps or manipulations with natural muscle movements. In this paper, empirical copula-based templates; including the unified motion template and the state-based motion template, are introduced to identify the naturally contracted surface EMG (sEMG) patterns for hand motion recognition. The...

In this work, we investigate the use of discriminative models for automatic speech recognition of subvocalic speech via surface electromyography (sEMG). We also investigate the suitability of multiresolution analysis in the form of discrete wavelet transform (DWT) for sEMG-based speech recognition. We examine appropriate dimensionality reduction techniques for features extracted using different...

The purpose of this study was to determine the effect of age on visuomotor tracking using submental and anterior neck surface electromyography (sEMG) to assess feasibility of computer control via neck musculature, which allows people with little remaining motor function to interact with computers. Thirty-two healthy adults participated: sixteen younger adults aged 18 - 29 years and sixteen olde...

Patients are not able to call for help during a generalized tonic-clonic epileptic seizure. Our objective was to develop a robust generic algorithm for automatic detection of tonic-clonic seizures, based on surface electromyography (sEMG) signals suitable for a portable device. Twenty-two seizures were analysed from 11 consecutive patients. Our method is based on a high-pass filtering with a cu...

In this paper, a new approach for hand tracking and gesture recognition based on the Leap Motion device and surface electromyography (SEMG) is presented. The system is about to process the depth image information and the electrical activity produced by skeletal muscles on forearm. The purpose of such combination is enhancement in the gesture recognition rate. As a first we analyse the conventio...

Compared to mechanical signals that are used for estimating human limb motion intention, non-invasive surface electromyography (sEMG) is a preferred signal in human-robotic systems. However, noise interference, crosstalk from adjacent muscle groups, and an inability measure deeper tissues disadvantageous sEMG’s reliable use. In this work, we hypothesize fusion between sEMG vivo ultrasound (US) ...