AIMC Topic: Electromyography

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Advanced Compliant Anti-Gravity Robot System for Lumbar Stabilization Exercise Using Series Elastic Actuator.

IEEE journal of translational engineering in health and medicine Dec 15, 2021
: The lumbar stabilization exercise is one of the most recommended treatments in medical professionals for patients suffering from low back pain. However, because lumbar stabilization exercise is calisthenics, it is challenging to perform because of ...
Aged Exercise Robotics Humans Lumbosacral Region Electromyography Low Back Pain
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The Impact of Load Style Variation on Gait Recognition Based on sEMG Images Using a Convolutional Neural Network.

Sensors (Basel, Switzerland) Dec 15, 2021
Surface electromyogram (sEMG) signals are widely employed as a neural control source for lower-limb exoskeletons, in which gait recognition based on sEMG is particularly important. Many scholars have taken measures to improve the accuracy of gait rec...
Male Humans Support Vector Machine Electromyography Neural Networks, Computer Walking Gait
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Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach.

Sensors (Basel, Switzerland) Dec 11, 2021
This study proposes a new index to measure the resilience of an individual to stress, based on the changes of specific physiological variables. These variables include electromyography, which is the muscle response, blood volume pulse, breathing rate...
Principal Component Analysis Biofeedback, Psychology Electromyography Humans Machine Learning Heart Rate
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Spatio-temporal warping for myoelectric control: an offline, feasibility study.

Journal of neural engineering Dec 1, 2021
The efficacy of an adopted feature extraction method directly affects the classification of the electromyographic (EMG) signals in myoelectric control applications. Most methods attempt to extract the dynamics of the multi-channel EMG signals in the ...
Electromyography Artificial Limbs Feasibility Studies Neural Networks, Computer
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Estimation of Lower Limb Kinematics during Squat Task in Different Loading Using sEMG Activity and Deep Recurrent Neural Networks.

Sensors (Basel, Switzerland) Nov 23, 2021
The aim of the present study was to predict the kinematics of the knee and the ankle joints during a squat training task of different intensities. Lower limb surface electromyographic (sEMG) signals and the 3-D kinematics of lower extremity joints we...
Biomechanical Phenomena Lower Extremity Electromyography Neural Networks, Computer Ankle Joint
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Synergy-Based Neural Interface for Human Gait Tracking With Deep Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 9, 2021
Neural information decomposed from electromyography (EMG) signals provides a new path of EMG-based human-machine interface. Instead of the motor unit decomposition-based method, this work presents a novel neural interface for human gait tracking base...
Walking Muscle, Skeletal Humans Gait Electromyography Deep Learning
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Causal decoding of individual cortical excitability states.

NeuroImage Oct 21, 2021
Brain responsiveness to stimulation fluctuates with rapidly shifting cortical excitability state, as reflected by oscillations in the electroencephalogram (EEG). For example, the amplitude of motor-evoked potentials (MEPs) elicited by transcranial ma...
Models, Anatomic Transcranial Magnetic Stimulation Cortical Excitability Electroencephalography Electromyography Machine Learning Female Male Magnetic Resonance Imaging Humans Young Adult
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Information fusion and multi-classifier system for miner fatigue recognition in plateau environments based on electrocardiography and electromyography signals.

Computer methods and programs in biomedicine Oct 2, 2021
BACKGROUND AND OBJECTIVE: Human factors are important contributors to accidents, especially human error induced by fatigue. In this study, field tests and analyses were conducted on physiological indexes extracted from electrocardiography (ECG) and e...
Fatigue Humans Machine Learning Support Vector Machine Electromyography Electrocardiography
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Individuals differ in muscle activation patterns during early adaptation to a powered ankle exoskeleton.

Applied ergonomics Sep 30, 2021
Exoskeletons have the potential to assist users and augment physical ability. To achieve these goals across users, individual variation in muscle activation patterns when using an exoskeleton need to be evaluated. This study examined individual muscl...
Walking Biomechanical Phenomena Humans Muscle, Skeletal Gait Robotics Ankle Ankle Joint Electromyography Exoskeleton Device
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How adaptation, training, and customization contribute to benefits from exoskeleton assistance.

Science robotics Sep 29, 2021
Exoskeletons can enhance human mobility, but we still know little about why they are effective. For example, we do not know the relative importance of training, how much is required, or what type is most effective; how people adapt with the device; o...
Equipment Design Electromyography Gait Torque Walking Male Humans Exoskeleton Device Female Muscle, Skeletal Ankle Joint Adaptation, Physiological Adult Robotics Young Adult Ankle Biomechanical Phenomena
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