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The aim of this paper is to perform a precise assessment of the misalignment of high-density surface electromyogram (HD-sEMG) grid according to its rotation with the muscle fibers. For this purpose, a generic and quantitative method was used in this study, namely the nonlinear correlation coefficient (h2) that is widely applied in connectivity and directionality of stochastic and complex signals....
Wireless inertial sensors enable quantified feedback, which can be applied to evaluate the efficacy of therapy and rehabilitation. In particular eccentric training promotes a beneficial rehabilitation and strength training strategy. Virtual Proprioception for eccentric training applies real-time feedback from a wireless gyroscope platform enabled through a software application for a smartphone. Virtual...
For someone who has suffered from a partial arm amputation, muscular surface electromyographic (EMG) signals are usually used to control a myoelectric prosthesis. To learn how to satisfactorily control the prosthesis, software programs can be very useful. We present here a program, of which 5 EMG signals collected across the biceps brachii are decoded to produce signals that either make a simulator...
Human arm performs dextrous movements through the voluntary contraction of muscles. To produce a given body movement, a group of muscles are usually acting in a synergic fashion. It is possible that information about a movement could also be extracted from an individual muscle within a synergic group. Physiologically, the large biceps brachii (BB) muscle is involved in forearm flexion and hand supination...
Electromyography (EMG) measures cumulative action potential by means of voltage from our muscles which means, it is related to work done. As far as we know, there is no exact technique to estimate the mathematical relation between work done and EMG value. In this work, we propose a mathematical relation between work done and EMG signal with proper curve fitting and constant parameter correction. For...
In a recent past, several techniques have been developed to analyze the effect of electrode grid alignment with the muscle fibers. But, they focused on pattern matching of Motor Unit (MU) electrical signatures and not on the interference signal. In this study, we use a method which is widely applied in connectivity and directionality analysis of stochastic and complex signals, namely, the nonlinear...
This study examined the effects of electromyographic (EMG) signals from Biceps Brachii (BB) muscle on the root mean square (RMS)-time relationships during dynamic contraction. Ten healthy and right hand dominated male subjects were volunteered for the experiments. The RMS features were extracted from the corresponding EMG signals (amplitude of the full wave EMG) for 10 seconds in 5 minutes intervals...
Salat may be useful in warm up or in rehabilitation programs. This study explores the muscle potential and force during Salat's movement and position that can be one of the daily exercise and training for our muscle in course of biomechanical response of human body. From this study, it is possible to recognize the muscles that are involved and contract during Salat. In case of signal acquisition,...
Multifractal analysis are useful to characterize complex physiological time-series. In this work, surface EMG signals recorded from biceps brachii muscles of 30 subjects are analyzed in dynamic fatigue conditions using multifractal techniques. The signals are segmented into six zones for time normalization. The first and last zones are considered as nonfatigue and fatigue conditions. The preprocessed...
In this work, an attempt has been made to analyze progression of muscle fatigue in surface electromyography (sEMG) signals by estimating the complexity. The sEMG signals are acquired from biceps brachii of 50 healthy volunteers during dynamic contraction. The pre-processed signals are segmented into non-overlapping epochs of various sizes (500ms, 750ms and 1000ms) and Lempel-Ziv Complexity (LZC) is...
In this work an attempt has been made to analyze the surface Electromyography signals recorded during dynamic contractions using quadratic time frequency distribution. Surface EMG signals are recorded from biceps brachii muscle in 50 healthy volunteers. These signals are subjected to Zhao-Atlas-Marks based Quadratic Time-Frequency Distribution (QTFD). Instantaneous median frequency (IMDF) and instantaneous...
In this work, an attempt has been made to analyze surface electromyography signals (sEMG) by estimating maximum singular value. sEMG signals are recorded from biceps brachii muscles of 50 healthy volunteers during repetitive elbow flexion and extension exercise. Maximum singular values are estimated from the signals. The results show a decrease in MSV at the point of first muscle discomfort experienced...
The aim of this paper was to verify and measure the variability in surface electromyography (sEMG) of upper arm biceps brachii muscle during isometric contraction. Nine healthy right arm dominated males from three age-groups (adolescents, vicenarian, and tricenarian) were selected for the study. Electrodes were placed horizontally on three individual locations of the subjects' biceps brachii muscle,...
To facilitate the use of upper limb myoelectric prostheses, we investigated if and how muscle compartments, i.e intra-muscular subdivisions each innervated by a nerve branch, could be voluntarily contracted. Five pairs of electrodes were positioned across the short head of the biceps brachii and 5 others across its long head. Electromyographic signals from 4 able subjects were collected. They produced...
This paper focus on the application of a multivariate statistical analysis approach, based on Linear Discriminant Analysis (LDA), of EMG data that aims to identify the angular position of the elbow. Linear transformations applied to EMG signals of the Biceps brachii and Triceps brachii, acquired during flexion / extension movements, enabled good and reliable class separation for future classification.
In this study an interactive exercise technique is developed to cater to bedridden and wheelchair bound individuals, in order for them to remain both mentally and physically alert despite their immobility. The sedentary lifestyle common among bedridden and wheelchair bound individuals leads to a variety of problems such as stiff muscles and numbness in various parts of the body. To perform this light...
This paper presents the initial work on implementing a simple control algorithm for a wearable orthotic glove using the myoelectric signals of a stroke patient as the input. The glove is used to assist in the rehabilitation of wrist and elbow. Surface myoelectric signals (MES) are acquired from the biceps brachii and the flexor carpi ulnaris. The MES is processed and temporal features are extracted...
With the aim to control a multiple degrees of freedom electromechanical devices, e.g., assistive robots, powered wheelchair, etc., this paper proposes a real-time multichannel surface electromyography classification scheme based on the coordination or synergies between a functional group of muscles: biceps brachii, triceps brachii, pronator teres, and brachioradialis. The muscular synergy is evaluated...
The aim of this study was to compare the intervals of time between adjacent zero crossings (ZCI), an alternative frequency-temporal parameter, with the root-mean-square (RMS) value and the median frequency (Fmed) from the surface EMG (sEMG) signal in muscle fatigue analysis. Twenty right-handed volunteers performed isometric contractions of right biceps brachii muscle while sEMG signals were collected...
Resistance exercise is essential to improve or maintain muscle performance. Vibration training has been suggested as an alternative option for muscle conditioning, aiming especially at improving muscle strength and power. Several studies link the effects of vibration training to enhanced neuromuscular stimulation, measured by electromyography (EMG) and typically ascribed to involuntary reflex mechanisms...
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