A5039554310- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Motor Control and Adaptation
- Ergonomics and Musculoskeletal Disorders
- Ergonomics and Human Factors
- Advanced Sensor and Energy Harvesting Materials
- Neural Networks and Applications
- Spinal Cord Injury Research
- Neuroscience and Neural Engineering
- Stroke Rehabilitation and Recovery
- Design Education and Practice
- Human-Automation Interaction and Safety
- Hand Gesture Recognition Systems
- European Union Policy and Governance
Friedrich-Alexander-Universität Erlangen-Nürnberg
2021-2025
Abstract Paralysis of the muscles controlling hand dramatically limits quality life for individuals living with spinal cord injury (SCI). Here, a non-invasive neural interface, we demonstrate that eight motor complete SCI (C5–C6) are still able to task-modulate in real-time activity populations neurons residual pathways. In all participants tested, identified groups units under voluntary control encoded various movements. The unit discharges were mapped into more than 10 degrees freedom,...
Movements of the hand require a precise distribution synaptic inputs to spinal motor neurons innervating intrinsic and extrinsic muscles. Humans can generate complex multi-digit tasks as well separate motions individual digits. The specific mechanisms by which central nervous system controls single-digit on neuron level remain poorly understood. We recorded synchronized 3D kinematics high-density surface electromyographic data from muscles, including all thumb digit flexors extensors. Twelve...
Males and females exhibit comparable levels of explosive strength if the rate torque development (RTD) is considered relative to maximal voluntary isometric (MVT). Given greater proportion type I II fibers area in muscles than males (~20% tibialis anterior muscle), with slower contractile kinetics, discharge motor units (MUDR) efforts may be higher compensate for muscle properties. Yet, it date unknown whether sex differences MUDR exist. Twenty-two 12 (20-34 years) performed electrically...
Natural control of assistive devices requires continuous positional encoding and decoding the user's volition. Human movement is encoded by recruitment rate coding spinal motor units. Surface electromyography provides some information on neural code usually decoded into finger joint angles. However, current approaches to mapping electrical signal angles are unsatisfactory. There no methods that allow precise estimation during natural hand movements within large numbers degrees freedom hand....
Objective: Surface electromyography (sEMG) can sense the motor commands transmitted to muscles. This work presents a deep learning method that decode electrophysiological activity of forearm muscles into movements human hand. Methods: We have recorded kinematics and kinetics hand during wide range grasps individual digit cover 22 degrees freedom at slow (0.5 Hz) comfortable (1.5 movement speeds in 13 healthy participants. The input model consists 320 non-invasive EMG sensors placed on...
OCCUPATIONAL APPLICATIONSThis contribution provides a framework for modeling user-product interactions (in CAD) in-depth ergonomic analysis of product design, using digital human models. The aims to be applicable wide range different products while being suitable designers - especially those who do not have specialized expertise or training in behavior by providing an intuitive, standardized, and time-efficient procedure. contains 31 elementary affordances, which describe mechanical...
Abstract Theories about the neural control of movement are largely based on movement-sensing devices that capture dynamics predefined anatomical landmarks. However, neuromuscular interfaces such as surface electromyography (sEMG) can potentially overcome limitations these technologies by directly sensing motor commands transmitted to muscles. This allows for continuous, real-time prediction kinematics and kinetics without being limited biological physical constraints affect motion-based...
The paralysis of the muscles controlling hand dramatically limits quality life individuals living with spinal cord injury (SCI). Here, we present a non-invasive neural interface technology that will change lives cervical SCI (C4-C6). We demonstrate eight motor- and sensory-complete (C5-C6, n = 7; C4, 1) are still able to task-modulate in real-time activity populations motor neurons spared corticospinal pathways. In all tested patients, identified groups units under voluntary control encoded...
The human hand possesses a large number of degrees freedom. Hand dexterity is encoded by the discharge times spinal motor units (MUs). Most our knowledge on neural control movement based MUs during isometric contractions. Here we designed noninvasive framework to study neurons dynamic movements with aim understand sinusoidal digit flexion and extension at different rates force development. included 320 high-density surface EMG electrodes placed forearm muscles, markerless 3D kinematics...
Abstract Precise control of spinal motor neurons is crucial for voluntary hand and digit movements. However, the specific mechanisms by which unit ensembles govern dynamic synergistic individual tasks remain poorly understood. We recorded synchronized 3D kinematics high-density surface EMG (HD-sEMG) data from extrinsic muscles twelve participants during 13 movement tasks, consisting single-digit flexion/extension mechanically grasping tasks. extracted single (MU) activity identified...