ArticleFrontiers in human neuroscience2014
Control of Leg Movements Driven by EMG Activity of Shoulder Muscles.
Article in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Limb-specific modulation of muscle synergies and segmental coordination during curved running.Experimental brain research · 2026Article
- Haptic communication and interpersonal dynamics in hand-by-hand guided locomotion in children and adults.Frontiers in bioengineering and biotechnology · 2025Article
- Modulating arm swing via haptic cueing alters interlimb neural coupling in older adults.Frontiers in physiology · 2025Article
- Spinal maps of motoneuron activity during human locomotion: neuromechanical considerations.Frontiers in physiology · 2024Review
- The Interaction of Treadmill Type and Incline Slope on Biomechanics and Muscle Activation During Human Locomotion.International journal of exercise science · 2024Article
- Exoskeleton gait training with spinal cord neuromodulation.Frontiers in human neuroscience · 2023Review
- Biosignal-Based Human-Machine Interfaces for Assistance and Rehabilitation: A Survey.Sensors (Basel, Switzerland) · 2021Review
- A Novel User Control for Lower Extremity Rehabilitation Exoskeletons.Frontiers in robotics and AI · 2020Article
- Voluntary ambulation using voluntary upper limb muscle activity and Hybrid Assistive Limb® (HAL®) in a patient with complete paraplegia due to chronic spinal cord injury: A case report.The journal of spinal cord medicine · 2019Article
- Voluntary Ambulation by Upper Limb-Triggered HAL® in Patients with Complete Quadri/Paraplegia Due to Chronic Spinal Cord Injury.Frontiers in neuroscience · 2017Article
- Neuromechanical interactions between the limbs during human locomotion: an evolutionary perspective with translation to rehabilitation.Experimental brain research · 2016Review
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Authors and funding
7 authors.
Funding
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Abstract
During human walking, there exists a functional neural coupling between arms and legs, and between cervical and lumbosacral pattern generators. Here, we present a novel approach for associating the electromyographic (EMG) activity from upper limb muscles with leg kinematics. Our methodology takes advantage of the high involvement of shoulder muscles in most locomotor-related movements and of the natural co-ordination between arms and legs. Nine healthy subjects were asked to walk at different constant and variable speeds (3-5 km/h), while EMG activity of shoulder (deltoid) muscles and the kinematics of walking were recorded. To ensure a high level of EMG activity in deltoid, the subjects performed slightly larger arm swinging than they usually do. The temporal structure of the burst-like EMG activity was used to predict the spatiotemporal kinematic pattern of the forthcoming step. A comparison of actual and predicted stride leg kinematics showed a high degree of correspondence (r > 0.9). This algorithm has been also implemented in pilot experiments for controlling avatar walking in a virtual reality setup and an exoskeleton during over-ground stepping. The proposed approach may have important implications for the design of human-machine interfaces and neuroprosthetic technologies such as those of assistive lower limb exoskeletons.
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