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Myoelectric control with surface EMG signal has achieved great success in clinics, but only limited to the control of 2-Degrees-of-freedom prosthesis. With the appearance of multiple-channel and high-density EMG system and the advances of pattern recognition technology, it becomes possible to control a multi-degree smart prosthesis using EMG signals. However, it requires high performance EMG systems...
Rational behind conducting this randomized trial was to examine the therapeutic effect of functional electrical stimulation (FES) in stroke survivors having hand grasp problem. For this we used novel approach of tracking the motor condition changes instead of traditional method of measuring functional assessment scores. In the study subjects less than 9 months of stroke history with hand grasp difficulty...
Estimation of human lower limb motions is elementary to enable power-assist robotic systems used for lower limb disabled persons. These robotic systems are based on lower limb muscles electromyographic (EMG) signals. EMG allows for the measurement of the change in the membrane as voltage from our muscles relates to work done. Apparently, there is no particular technique to estimate the mathematical...
The aim of this study is to validate the time delay estimators recently developed by our group. We test the estimators with the real data in both case isometric isotonic and isometric anisotonic contraction in order to take into account the stationarity and the non-stationarity of the data. The results indicate that these estimators have coherent behaviors with the law of Henneman up to 60% Maximal...
A new approach has been developed by combining the K-mean clustering (KMC) method and a modified convolution kernel compensation (CKC) method for multichannel surface electromyogram (EMG) decomposition. The KMC method was first utilized to cluster vectors of observations at different time instants and then estimate the initial innervation pulse train (IPT). The CKC method, modified with a novel multistep...
In this work, isometric contraction of triceps brachii muscles are analyzed using surface electromyography (sEMG) signals and multifractals. The signals are recorded from 20 healthy adult volunteers at three different angles of elbow flexions namely 30º, 60º and 90º using standard experimental protocol. The recorded signals are preprocessed and subjected to Multifractal Detrended Fluctuation Analysis...
Haptic technology has many real world applications such as rehabilitation robotics, telepresence surgery, gaming, virtual reality and human-robot interaction. Force plays an important role in the above mentioned haptic applications. In this paper, we propose a method to estimate force from surface Electromyography (SEMG) signals using Artificial Neural Network (ANN). The haptic device is modeled to...
We examined surface electromyogram (EMG) characteristics during voluntary isometric activation of the first dorsal interosseous (FDI) muscle in stroke survivors. Five stroke subjects participated in the study. They were instructed to generate isometric contraction at different force levels. The recording was performed in both paretic and contralateral muscles using a matched force protocol. Comparisons...
The objective of this pilot study was to examine alterations in motor unit (MU) control properties, (i.e. MU recruitment and firing rate) after stroke utilizing a recently developed high-yield surface electromyogram (EMG) decomposition technique. Two stroke subjects participated in this study. A sensor array was used to record surface EMG signals from the first dorsal interosseous (FDI) muscle during...
It is well known that there is a change in the spectrum of surface electromyogram (sEMG) with the onset of muscle fatigue. This change has largely been attributed to the change in muscle conduction velocity. In this paper, this theory has been investigated by studying a sEMG model developed earlier. The change of spectrum of the experimental results has been compared with simulated sEMG in response...
A novel integrative model for simulating the surface EMG signal during pathological tremor is presented. The model combines neuromuscular elements, biomechanical descriptions, and surface EMG generation. First single motor unit spike trains are generated based on the sum of the simulated descending drive, afferent input and an oscillatory noise causing tremor. Based on this activity pattern, the muscle...
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...
Previous research studies have reported that spectral compression of the surface Electromyogram (SEMG) towards lower frequencies is associated with onset of localized muscle fatigue. One reason for this spectral compression has been attributed to motor unit synchronization in literature. According to this, motor units are pseudo randomly excited during muscle contraction, and the recruitment pattern...
The architecture of human motion information acquisition system based on surface electromyography (EMG) was described. Motion information is one of the most important techniques in the intelligent assistant production design, and it is a basis for the assistant system to supply appropriate and necessary actions. Thinking of the characteristics of daily tasks, this system adopted surface EMG as signal...
In this paper, we propose a tendon skeletal finger model and discuss which finger postures the human feels easy to pinch based on the tendon forces and the human experimental results. The finger model mimics a human tendon skeletal structure. The tendon forces during the pinching motion were simulated using the finger model. Simulation results show that the tendon forces closely mirror the human muscle...
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