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Dislocation of an artificial hip joint is one of the most serious problems for Total Hip Arthroplasty (THA). In order to analyze the phenomenon of the artificial hip joint dislocation, a hip joint simulator has been developed. Although the hip joint motion and the hip joint contact force (the resultant muscle force around muscles of hip joint and the floor reaction force) during the daily life motion...
Muscle fiber conduction velocity (MFCV) is based on the time delay estimation between electromyography recording channels. In order to take into account the variability of the MFCV, we assume that the time delay between the channels varies over time. In the present paper, the Maximum - Likelihood estimation (MLE) of time varying delay for two channels of EMG signals that follow a polynomial model...
This paper studies about electromyography (EMG) classification. The application of EMG classifier is used for prosthetic control. A Volterra series was propose in this works, we used 2nd order series for processing EMG signal. This work had compared between filtered EMG and 2nd Volterra EMG in artificial neural network (ANN) model. The result show the classification with 2nd Volterra EMG has more...
Real time recordings of motor unit action potential (MUAP) signals from myopathy (MYO), neuropathy (NEU), and normal (NOR) subjects, using intramuscular electromyography (needle EMG) are treated and processed in order to be classified for the diagnosis of neuromuscular pathology. Feedforward-backpropagation neural network is used for the classification. Recognition rates were found to be higher than...
Walking up or down stairs is an important activity for human lives. Gait pattern of this activity is as same as walking except the range of motion and phase of muscles activities. Many studies have been focused on behavior of this motion. Two cameras and electromyogram (EMG) are the applications used in this study and analysis the motion. To determine the relationship of the both data, it can be performed...
Aim of this paper is to develop an EMG based biofeedback system using a virtual reality platform which will help in gait rehabilitation. A low power multichannel EMG acquisition unit has been developed to acquire EMG of six different muscles of the lower limb. EMG from different channels are fused using Bayesian fusion technique and spurious data has been discarded. From the fused EMG data, we calculate...
Many methods have been developed to quantify skeletal muscle stiffness. One major limitation is their measurement ranges cannot meet the requirement under maximum voluntary contraction (MVC) condition. The muscle stiffness at high intensity contraction is more important but was rarely reported to be assessed. Furthermore, the dependences of gender and age on the relationship between muscle stiffness...
In this document we present a methodology for movement pattern recognition from arm-forearm myoelectric signals, starting off from the design and implementation of an electromyography (EMG) instrumentation system, considering the Surface EMG for the Non Invasive Assessment of Muscles (SENIAM) rules. Signal processing and characterization techniques were applied using the pass-band Butter worth digital...
Fighting game is one of the video games which 2 players fighting in screen by controlling characters. While skilled fighting game players are perceived to have great reflex or judgment like chess players, there is no precise skill evaluation method. In this paper, we suggested surface EMG signal as fighting game skill evaluation method. In the experiment, we divide 10 subjects into skilled group and...
EMG based input device is a natural means of human computer interface (HCI) because the electrical activity induced by the human's arm muscle movements can be interpreted and transformed into computer's control commands. In this paper, we describe an approach for classifying electromyography (EMG) signals using a multilayer perceptron neural network (MLP) and Bayesian classifier (BC) with the wavelet...
We recorded H-reflex using 4 × 4 multi-pad EMG electrodes on muscle Soleus from 4 healthy subjects. The results indicate that the new proposed method of recording H-reflex provides more information than standard bipolar or unipolar EMG recording, since it enables spatial and temporal parameters assessment. We have developed an algorithm which can automatically select the H-reflex with maximum peak...
In this paper, a new sensor for analysis of muscular activity is proposed. The proposed sensor is the layered structure of a thin stainless steel electrode, a PVDF film with transparent electrodes, and optical sensors. Electromyogram (EMG), mechanomyogram (MMG) and oxygen consumption based on near-infrared spectroscopy (NIRS) are simultaneously measured by the stainless steel electrode, the PVDF film,...
In this work, we have demonstrated a novel on-line technology for real-time acquisition and identification of electromyographic (EMG) signals from hand movement. EMG signal were measured using standard surface electrodes from forearm muscles at three major points including Wrist extensor, Flexor Carpi Radialis and Wrist Flexor groups, respectively. The EMG acquisition system consists of an instrumentation...
A wearable wireless general purpose bio-signal acquisition prototype system is presented in this paper. Three types of bio-signals could be acquired by the system then wirelessly transmitted to the computer for real-time processing. The prototype experimental results show that the system could acquire electrocardiogram (ECG), surface-electromyography (s-EMG) and electroencephalogram (EEG) for home...
The impact of whole body vibrations (vibration stimulus mechanically transferred to the body) on muscular activity and neuromuscular response has been widely studied but without standard protocol and by using different kinds of exercises and parameters. In this study, we investigated how whole body vibration treatments affect electromyographic signal of rectus femoris during static and dynamic squat...
The Sign Language Recognition System (SLR) is highly desired due to its ability to overcome the barrier between deaf and hearing people. At present, a robust SLR is still unavailable in the real world due to numerous obstacles. Additionally, as we know, Sign Language recognition has emerged as one of the most important research areas in the field of human computer interaction (HCI). Hence, this paper...
During Aging muscle physiological properties change, which affect the Electropmyography (EMG) signals recorded by either surface electrodes or needle electrodes. In this paper, an surface EMG generation techniques has been presented by considering multilayer muscle model and physiologic behavior of type-I and type-II motor units during voluntary contraction from the latest findings in literature....
Endotracheal intubation (ETI) is a crucial medical procedure performed on critically ill patients. It involves insertion of a breathing tube into the trachea i.e. the windpipe connecting the larynx and the lungs. Often, this procedure is performed by the paramedics (aka providers) under challenging prehospital settings e.g. roadside, ambulances or helicopters. Successful intubations could be lifesaving,...
A knee brace with a locking mechanism has been designed and tested for leg muscles to reduce the applied load to the knee during walking on a flat surface. The system function consists of locking leg movement at the “heel strike” phase of walking cycle. The user can not bend his knee more than the locking angle from this phase and the brace supports excessive load applied to his knee so as to minimize...
This paper is concerned with the development of various ways to control the electrically powered wheelchair. For controlling the wheelchair in the paper, biosignal recognition is employed, and the system of recognition signals as Electromyogram (EMG), Electrooculogram (EOG) has been developed. The main purpose of designed wheelchair allows persons with severe disabilities to reliably navigate a power...
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