HUMAN NEUROSCIENCE Control of leg movements driven by EMG activity of shoulder muscles (original) (raw)

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Control of Leg Movements Driven by EMG Activity of Shoulder Muscles Cover Page

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Decoding Intra-Limb and Inter-Limb Kinematics During Treadmill Walking From Scalp Electroencephalographic (EEG) Signals Cover Page

Multidimensional EMG-based assessment of walking dynamics

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2003

The electromyogram (EMG) provides a measure of a muscle's involvement in the execution of a motor task. Successful completion of an activity, such as walking, depends on the efficient motor control of a group of muscles. In this paper, we present a method to quantify the intricate phasing and activation levels of a group of muscles during gait. At the core of our method is a multidimensional representation of the EMG activity observed during a single stride. This representation is referred to as a "trajectory." A hierarchical clustering procedure is used to identify representative classes of muscle activity patterns. The relative frequencies with which these motor patterns occur during a session (i.e., a series of consecutive strides) are expressed as histograms. Changes in walking strategy will be reflected as changes in the relative frequency with which specific gait patterns occur. This method was evaluated using EMG data obtained during walking on a level and a mod...

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Multidimensional EMG-based assessment of walking dynamics Cover Page

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EMG patterns during assisted walking in the exoskeleton Cover Page

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Control of a Virtual Leg via EMG Signals from Four Thigh Muscles Cover Page

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Motor modules of human locomotion: influence of EMG averaging, concatenation, and number of step cycles Cover Page

A study on muscle activities through surface EMG for lower limb exoskeleton controller

Proceedings - 2013 IEEE Conference on Systems, Process and Control, ICSPC 2013, 2013

The motion of human body is complex but perfect and integrated effort of brain, nerves and muscles. Exoskeleton is a promising idea for human rehabilitation of the lower limb that is weak enough to move. EMG signal contains the information of human movement and can be considered as one of the most powerful input to exoskeleton controller. In this research, the activity of the lower limb muscles that are responsible for human sit to stand and stand to sit movement has been studied. In this regard, the activities of three muscles viz. rectus femoris, vastus lateralis and biceps femoris have been observed and recorded to perceive their activation pattern. The experimental results show that the maximum voltage of vastus lateralis at activation moment is greater or equal to +0.1 mV or lesser or equal to -0.1 mVduring sit to stand and stand to sit movement whereas same throughput was found for biceps femoris during sit to stand and for rectus femoris during stand to sit movement only. © 2013 IEEE. http://ieeexplore.ieee.org/ielx7/6720515/6735086/06735124.pdf?tp=&arnumber=6735124&isnumber=6735086

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A study on muscle activities through surface EMG for lower limb exoskeleton controller Cover Page

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EMG profiles during normal human walking: stride-to-stride and inter-subject variability Cover Page

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Motion Calculation for Human Lower Extremities Based on EMG-Signal-Processing and Simple Biomechanical Model Cover Page

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A lower limb EMG-driven biomechanical model for applications in rehabilitation robotics Cover Page