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 71 for “"sEMG"”.
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Perturbation Based Decomposition of sEMG Signals
… on muscle activation. Decomposition of sEMG signals for characterization of constituent motor unit action potentials in terms of amplitude and firing times is useful for clinical research as well as diagnosis of neurological disorders. Successful decomposition of sEMG signals would allow …
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Enhanced Finger Movement Detection Using sEMG by Data Augmentation
Surface Electromyography (sEMG) is a technique to capture electrical activity in muscles during contraction. Individual finger movement has not received much attention as a significant proportion of the current sEMG research targeting the hand has focused on gestures. Accurate classification of …
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Wavelet transform methods for identifying onset of SEMG activity
… of the onset of surface electromyograpic (sEMG) activity. Applying methods from wavelet theory developed in the past decade to digitized signals, a robust algorithm has been designed for use with sEMG collected during reaching tasks executed with the less-affected arm of stroke patients. …
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Bio-inspired sEMG-based embedded systems for human-machine interactions
L'abstract è presente nell'allegato / the abstract is in the attachment
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Design of an advanced sEMG processor for wearable robotics applications
… and evaluation of a surface electromyography(sEMG) acquisition platform specialized for wearable robotic applications. While sEMG is one of the best ways to interpret human muscle and neural activity, the research field in wearable robotics has limitations in utilizing sEMG signals with …
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Vibrational Feedback Training System for Use with SEMG Controlled Powered Prostheses
… the user generating surface electromyographic (SEMG) signals. The goal of this thesis is to develop a virtual environment in which a user can control a virtual hand to safely grasp representations of everyday objects using EMG signals from his/her forearm muscles, and experience visual and …
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DECODING MUSCLE EXCITATION IN RESISTANCE TRAINING: A HIGH-DENSITY SEMG APPROACH
… Traditional surface electromyography (sEMG) provides a global estimate of muscle activity but lacks the spatial resolution required to capture detailed excitation patterns within and across muscles. This doctoral thesis aimed to advance the understanding of muscle excitation in RT by …
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Can long-term musculoskeletal, spinal pain improve with movement education using SEMG biofeedback?
… the impact of using surface electromyography (SEMG) as a biofeedback tool to improve long-term musculoskeletal, spinal pain. The study aimed to understand the impact of using SEMG within the context of biofeedback rehabilitation of musculoskeletal pain. Methods/Methodology: the project utilised …
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Using sEMG to investigate muscle activation during a graded exercise test while sustaining SRC
… symptom-free state. Surface electromyography (sEMG) was integrated with the Buffalo Concussion Treadmill Test (BCTT) to assess muscle activation under controlled exercise conditions. A repeated-measures design was employed, with participants completing sEMG assessments during BCTT at two time …
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Estimating output torque via amplitude estimation and neural drive : a high-density sEMG study
… derived from surface electromyography (sEMG). This thesis presents an exploration of output joint torque estimation using high density surface electromyography (HDsEMG). The specific aims of this thesis were to implement a well-established amplitude estimation method for standard …
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Sistema embebido de detección de intención de movimiento basado en sEMG para la rehabilitación inteligente de pacientes post-ictus
La electromiografía de superficie (sEMG) se ha consolidado como una herramienta indispensable para la interpretación de movimientos de la mano, especialmente en el contexto de la rehabilitación post-ACV. Este estudio presenta un sistema integrado en dispositivo diseñado para el reconocimiento de …
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Moving and adapting with a learning exoskeleton
… in the lower body. Surface electromyography (sEMG) - reading electrical signals from muscles - is one way to estimate human intent. sEMG contains anticipatory information that precedes the associated limb movement, allowing for better human-exoskeleton coordination than reactive control …
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Electromyographic control of prosthetic voice after total laryngectomy
… the viability of surface electromyography (sEMG) to control the onset and offset of an EMG-controlled EL (EMG-EL) while attending to real-time sEMG biofeedback using sEMG collected from seven locations across the ventral neck and face surface in eight individuals at least 1 year past total …
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The Effect of Positioning on Pelvic Floor Muscle Activity as Evaluated with Surface Electromyography in Normals
… with urinary incontinence commonly utilize sEMG biofeedback. Practitioners compare resting tone, maximal contraction, and muscle endurance measures before and after pelvic floor exercise instruction to determine intervention and demonstrate progress. There is little research that supports …
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Machine Learning for Predicting Prosthetic Limb Movements
… limb movement from surfaced electromyography (sEMG) signals using sequence learning techniques. sEMG signals change over time due to multiple factors such as muscle fatigue or user variability. Traditional prosthetics control methods rely on static feature extraction, ignoring how signals …
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Effects of training methods on classification on surface electromyographic signals for myoelectric control
… the classification of surface electromyographic (sEMG) signals, electrical impulses obtained from muscles from sensors on the skin, have sought to use various types of machine learning models for sEMG pattern recognition. This technique shows promise in being able to accurately classify human sEMG …
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Extraction of Electrocardiography Artefacts From Surface Electromyography Signals Using Continuous Wavelet Transform
… within surface Electromyography signal (sEMG) has been a problem when analysing the muscle activity. It has been shown that ECG contamination of the EMG signal in muscles of the trunk can influence time-based (amplitude) and frequency-based measures of the EMG signal. This has important …
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Surface electromyography signal classification using SFDN+DNN for hand gesture recognition
… to classify the Surface Electromyography (SEMG) signals for hand movement recognition is presented and compared to the other approaches in the literature. EMG or muscle’s cells electrical activity are the electrical signals that are carried from the brain to the muscles through the spinal …
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