Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 39 for “"EMG signals"”.
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Novel Methods for Recording and Analysing High-Density EMG Signals of the Hand & Forearm
… a technique known as surface electromyography (sEMG). Key information about the muscles can then be extracted from EMG signals using signal processing techniques and used in various applications ranging from electrophysiology studies to robotics. More recently, high-resolution multi-electrode …
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Classification of finger gestures from myoelectric signals
Electromyographic signals may provide an important new class of user interface for consumer electronics. In order to make such interfaces effective, it will be crucial to map EMG signals to user gestures in real time. The mapping from signals to gestures will vary from user to user, so it must be …
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Hand and elbow gesture recognition based on electromyography signal
… to analyze and classify the Electromyography (EMG) signal of muscles that is involved in certain hand and elbow gestures. The Electromyography (EMG) data acquisition protocol is then outlined and performed where the recorded Electromyography (EMG) signal corresponds with certain hand and elbow …
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EMG methods for prosthesis ankle-subtalar free-space control
EMG-based prosthetic joint controllers have been an active research field for more than fifty years. However, several challenges remain to be addressed[9]. Electrodes positioning, controllers calibration, and controllers’ linear approximation error are the most challenging problems among them. This …
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A statistical framework for the analysis of neural control of movement with aging and other clinical applications
… to understand the effects of aging on biological signals for motor control and to develop a methodology to classify aging and stroke populations. The methodological approach investigated the influence on correlated activity (coherence) between electroencephalogram (EEG) and electromyogram (EMG) …
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Effect of rotator cuff muscle fatigue on shoulder muscle activation and posture during driving
… changes in joint angle and electromyography (EMG) signals of the upper extremity in simulated driving to identify compensatory mechanism of rotator cuff muscles. Mean, maximum, standard deviation, and range of motion (ROM) of joint angles for four degrees of freedom (shoulder plane, shoulder …
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Development of a Myoelectric Detection Circuit Platform for Computer Interface Applications
… be employed that interpret the natural electric signals produced by the human body as command inputs. One of these novel sensor systems is the myoelectric detection circuit, which can measure electromyographic (EMG) signals produced by contracting muscles through specialized electrodes, and …
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Differences in Balance and Muscle Activation Strategies during Gait Initiation at Different Speeds between Young and Middle-Aged Adults
… 19-35 years) had surface electromyography (EMG) signals of the gluteus medius (GM), adductors (ADD), tibialis anterior (TA) and medial gastrocnemius (MG) recorded while initiating three steps forward while walking on a GAITRite® platinum mat at a normal self-selected and fast walking speed …
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Predicting continuous hand pose from wearable EMG sensor data using transformer-based deep-learning models
… continuous hand pose from electromyography (EMG) signals collected with a low-cost, eight-channel wearable armband. A modular software laboratory was developed to support data acquisition, synchronization, visualization, model training, and inference. A single-subject, three-hour dataset of …
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Data driven modeling and MPC Based control for Pathological Tremors
… Accurate predictive modeling of tremor signals can be used to provide alleviation from these tremors via various currently available solutions like adaptive deep brain stimulation, electrical stimulation and rehabilitation orthoses. Existing methods are either too general or too …
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Electromyographic Characterization in an Animal model of Dystonia
… (Nj) littermates. Electromyographic (EMG) activity was recorded from antagonistic hip muscles in dystonic and in normal appearing rats. Raw EMG signals were decomposed using the Discrete Wavelet Transform based multi-resolution analysis, and signal coefficients corresponding to the …
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Cost-Effective Prosthetic Hand Controlled by EMG
… and controlled using surface Electromyography (EMG) signals, which are obtained from the human body. Force sensors are used to control required forces needed to grasp and pick objects. A prototype hand is developed and it is experimentally tested to reproduce a wide spectrum of human hand …
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On the relationship between corticomuscular (EEG-EMG) phase coupling and muscular fatigue
… account both the amplitude and phase of the two signals. However, the use of the phase lock value (PLV) has been over looked as a method for determining the level of synchrony. While the PLV is modulated purely by the phase between the two signals, it is unaffected by any amplitude variation. …
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Sensory modulation of muscle synergies for motor adaptation during natural behaviors
… Previous studies have shown that electromyogram (EMG) signals collected from many muscles during natural behaviors can be reconstructed by linearly combining a few synergies, identified by the non-negative matrix factorization algorithm. But to what extent synergies are neural constraints, or …
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Ankle mechanical impedance under muscle fatigue
… Median frequencies of surface electromyographic (EMG) signals collected from tibialis and triceps surae muscle groups were evaluated to assess muscle fatigue. Using a standard multi-input and multi-output stochastic impedance identification method, multivariable ankle mechanical impedance was …
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An acoustic study of coarticulation patterns in Turkish and English
… previous studies were based electromyographic (EMG) signals generated by upper and lower lip movements. Not only is such methodology very cumbersome and impedes research, but also the equipment attached to the speakers' mouth to obtain the measurements is likely to induce the speaker to alter …
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Hand Gesture Recognition via Electromyographic (EMG) Armband for CAD Software CONTROL
… hand shape by means of a glove, cameras, or biosignals. One particularly useful biosignal for this task is the forearm Electromyographic (EMG) Signal. This signal reflects the contraction state of the forearm muscles. EMG signals are already being used in prosthetics to help amputees have more …
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Analysis of electromyograph (EMG) for controlling wheelchair motion
… who has high level Spinal Cord Injury (SCI), the EMG signal from neck has been chose to trigger the wheelchair. The EMG signals are obtained using disposable electrode from neck muscles which are Sternocleidomastoid and Trapezius muscles, with different direction. For the acquisition of SEMG …
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Potenciais propagantes no músculo oblíquo interno por eletromiografia de superfície de alta densidade
… of this technique in the capture of myoelectric signals of deep muscles has not been fully explored. High-density surface electromyography (HDEMG) allows the identification of potential propagators of a muscle with fibers parallel to the skin surface and was used in the present study to identify …
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Strategies for using electromyographic signals to control ankle torque in an active joint brace for alleviating drop-foot gait
… efforts to develop control strategies that use EMG signals from the anterior tibialis muscle to control ankle torque in an active ankle-foot orthosis. This would ultimately help rehabilitate persons affected by drop-foot gait, a condition which results in the loss of ability to dorsi-flex the …
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