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Electroenterogram (EEnG) is the myoelectrical signal of the small bowel. It is the result of a permanent slow wave (low frequency component) and series of spike bursts (high frequency component) that are only present when a bowel contraction occurs. This means spectral content of EEnG changes throughout time. The definition of a t-f distribution that adapts to changes in EEnG spectrum could be very...
Ultrasound and electromyography (EMG) are two of the most often used diagnostic tools for muscles. However, there is lack of a system for continuously capturing both signals with a synchronized procedure. This study presents a new system for this purpose. The system comprises an ultrasound scanner, a pulser/receiver, an EMG amplifier, and a PC with A/D converter cards for data acquisition and analysis...
Wearable technology has been used in various health-related fields to develop advanced monitoring solutions. However, the monitoring function alone cannot meet all the requirements of personal customizing machine-supported exercise that have biosignal-based controls. In this paper, we propose a new wearable unit design equipped with measurement and control functions to support the personal customization...
In this study, we describe the classification method of hand movements using 96 channels matrix-type(16times6) of multi channel surface electrode. Today, there are many systems that use the EMG as a control signal. As for those ordinary systems, it has some problem like most of them require the definition of measuring position. We design the new system with multi channel electrode to solve some of...
Sleep disorders have a high prevalence. Sleep disorders are recognized first by the complaint of non-restorative sleep. A quantification of the disorder is done by the investigation in a sleep laboratory. The investigation in the sleep laboratory examines the EEG, EOG and EMG to derive sleep stages. This is a labor intensive sleep scoring after the polysomnography investigation. Usually the time course...
In this paper, an identification method of finger motions using the wavelet transform of multi-channel electromyography (EMG) signal is presented. The first step of this method is to analyze surface EMG signal detected from the subject's upper arm using the multi-resolution of wavelet transform, and extract features using the variance, maximum and mean absolute value of the wavelet coefficients. In...
This paper proposes the use of independent component analysis (ICA) and thresholding estimation calculated in wavelet transform for noise reduction in electromyographic (EMG) signals. In contrast to existing amplitude threshold detection scheme which either need to be participated by the operator or is time consuming, this method is more fast and completely automatic. The ICA is implemented by means...
A simulation model for the motor unit innervation process (MUIP) is proposed. The model is based on the Hodgkin-Huxley (HH) model, which enables it to simulate the complex dynamics of MUIPs, such as the interactions between motor unit common drive and MUIP correlation (motor unit synchrony). Some simulation results are presented and possible extensions of the model are discussed
This paper designs a bionic artificial hand that has a tactile sensing, two degrees of freedom, driven by surface electro-myography (SEMG). The tactile sensor applying PVDF as a sensitive material, fitted the finger of artificial hand, has a good dynamic response. The tactile sense is spread to the user by an electric shock generator. Using improved power spectrum ratio and data fusion method based...
Surface electromyography (sEMG) recorded from the trunk area may reflect underlying muscular function, and is the current standard for in vivo functional examination. However, sEMG of this area, including the low back musculature, usually encounters substantial interference from strong cardiac signals. It is therefore imperative to remove electrocardiogram (ECG) interference from sEMG data. This paper...
Stimulus evoked electromyography is currently used during surgery to prevent nerve root injury during iliosacral screw insertion. In order to evaluate the importance of anode location in this procedure, a three dimensional finite element model was constructed from computed tomography data to evaluate the effectiveness of five electrode locations. Three anode locations (CASIS, dorsal midline and ventral...
Nerve conduction studies (NCS) are often carried out to evaluate patients with peripheral nervous system disorders. NCS instruments with automated waveform analysis capability could expand the accessibility of the NCS to improve overall patient care quality and to reduce health care cost. In this paper, a computer model is described for generating realistic waveforms often measured during NCS. Availability...
Recent technological advances in sensors, low-power integrated circuits, and wireless communications have enabled the design of low-cost, miniature, lightweight, intelligent physiological sensor platforms that can be seamlessly integrated into a body area network for health monitoring. Wireless body area networks (WBANs) promise unobtrusive ambulatory health monitoring for extended periods of time...
The control of shoulder disarticulation prostheses remains a challenging problem. Recently, a novel method, using targeted muscle reinnervation to develop additional myoelectric control sites, has improved the control of myoelectric upper limb prosthesis in a patient with bilateral amputations at the shoulder disarticulation level. Encouraged by this achievement, we recorded high density surface electromyogram...
Mechanisms underlying discoordination, expressed in the form of obligatory coupling between the shoulder and the elbow muscles following stroke, are probed by simultaneously recording 163-channel EEG together with elbow/shoulder torques and EMGs from the upper arm. With this unique experimental protocol, we were able to have strict post hoc control of a subject's motor performance. Using this novel...
This paper describes the development of an implanted neuroprosthesis for restoring hand and arm function to individuals with high level tetraplegia resulting from C1-C4 spinal cord injury. These individuals have complete paralysis below the level of the neck and are thus highly disabled. The neuroprosthesis under development will restore basic upper extremity movements needed for simple yet important...
We describe a novel application of higher order statistics (HOS) for classifying surface electromyogram (sEMG) signals. We have followed seven approaches to identify discriminating signals representative of four primitive motions, i.e., elbow flexion/extension and forearm supination/pronation. The sequential forward selection (SFS) method is utilized to reduce the number of HOS features to a sufficient...
It has often been assumed in EMG modeling and signal processing applications, that the motor unit action potential trains (MUAPT) of concurrently active motor units during voluntary contractions are not correlated. However, motor unit synchrony, or motor unit innervation process (MUIP) correlation, which implies MUAPT correlation, has been accepted as a common phenomenon in voluntary contractions...
In this paper, we propose a method to extract motor primitives from electromyography(EMG) signals on reaching movements of human arm. EMG signals reflect the motor commands from the central nervous system (CNS). Especially, we extract the motor primitives in consideration of arm posture, movement direction and velocity using only EMG signals. As an experimental task, we performed two kinds of experiments...
Recurrence plot is a quite useful tool used in time-series analysis, in particular for measuring unstable periodic orbits embedded in a chaotic dynamical system. This paper introduced the structures of the recurrence plot and the ways of the plot coming into being. Then the way of the quantification of the recurrence plot is defined. In this paper, one of the possible applications of recurrence quantification...
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