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,...

Abstract Objective. High-density surface electromyography (HD-sEMG) allows the reliable identification of individual motor unit (MU) action potentials. Despite accuracy in decomposition, there is a large variability number identified MUs across individuals and exerted forces. Here we present systematic investigation anatomical neural factors that determine this variability. Approach . We investigated influence on HD-sEMG such as synchronization MU discharges, distribution territories,...

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...

Recovering hand function is among the highest priorities for individuals with tetraplegia. Yet, current treatments restoring basic movements remain limited motor complete spinal cord injury. In this study, we present a non-invasive neuromechatronic interface that directly translates spared neuron activities once encoded opening and closing of to supernumerary robotic sixth finger. We re-enabled three chronic (> 8 years) cervical injury grasp objects important daily living same neural...

Hand paralysis due to spinal cord injury (SCI) greatly limits the quality of life injured individuals. Despite complete loss hand digit control, however, residual electrical muscle activity is often detected from these From this activity, individual motor unit action potentials can be identified and potentially used infer their motion intent for interfacing purposes. We recently demonstrated that units decoded tetraplegic individuals with SCI, by mapping both proximal distal forearm using...

Restoring motor function in individuals with spinal cord injuries (SCIs), strokes, or amputations is a crucial challenge. Recent studies show that spared neurons can still be voluntarily controlled using surface electromyography (EMG), even without visible movement. To harness these signals, we developed wireless, high-density EMG bracelet and software framework, MyoGestic. Our system enables rapid adaptation of machine learning models to users’ needs, allowing real-time decoding dimensions....

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...

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 loss of bilateral hand function is a debilitating challenge for millions individuals that suffered motor-complete spinal cord injury (SCI). We have recently demonstrated in eight tetraplegic the presence highly functional spared motor neurons extrinsic muscles are still capable generating proportional flexion and extension signals. In this work, we hypothesized an artificial intelligence (AI) system could automatically learn electromyographic (EMG) patterns encode attempted movements...

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...

Chronic refractory pain of various origin occurs in 30-45% patients, and a considerable proportion remains resistant to pharmacological behavioral therapies, requiring adjunctive neurostimulation therapies. is known stimulate sympathetic outflow, yet the impact burst motor cortex stimulation (burstMCS) on objectifiable autonomic cardiovascular parameters chronic largely unknown.In three patients with (2 facial pain/1 post-stroke pain), we compared intensity using visual analog scale (VAS...

Abstract Worldwide there is accumulated evidence of heatwave intensification due to climate change. Regional differences in the effects heatwaves require local studies implement public mitigation and adaptation strategies. This work analyzes characterizes heatwaves’ occurrence for city Campinas, Brazil, through an observational study from 1956 2018. The definition adopted requires that maximum minimum daily temperatures be above limits derived normal 1961-1990. annual seasonal metrics...

Abstract We have recently demonstrated that humans with motor-and-sensory complete cervical spinal cord injury (SCI) can modulate the activity of spared motor neurons control movements paralyzed muscles. These still receive highly functional cortical inputs proportionally flexion and extension hand digits. In this study, we report a series longitudinal experiments in which subjects SCI received unit feedback from NeurOne. NeurOne is software realizes super-fast digitalization neuron spiking...

The loss of bilateral hand function is a debilitating challenge for millions individuals that suffered motor-complete spinal cord injury (SCI). We have recently demonstrated in eight tetraplegic the presence highly functional spared motor neurons extrinsic muscles are still capable generating proportional flexion and extension signals. In this work, we hypothesized an artificial intelligence (AI) system could automatically learn electromyographic (EMG) patterns encode attempted movements...

Spinal cord stimulation (SCS) represents an established interventional pain therapeutic; however, the SCS effects of waveforms on motor neuron recruitment lower limbs chronic patients remain largely unknown. We investigated these by performing isometric ankle-dorsal flexions at varying force levels under four conditions: Off (1 week), burst (40 Hz), (acute), and tonic (130 Hz). Muscle activity was recorded via high-density surface electromyography (64-electrode grid) tibialis anterior...

For individuals with motor complete spinal cord injury (SCI), previous works have shown that spared neurons below the level can still be voluntarily controlled. In this study, we investigated behavior of these after SCI by analyzing neural and spatial properties individual units using high-density surface electromyography (HDsEMG) ultrasound imaging. The dataset for study is based on unit data from our work (Oliveira

Restoring limb motor function in individuals with spinal cord injury (SCI), stroke, or amputation remains a critical challenge, one which affects millions worldwide. Recent studies show through surface electromyography (EMG) that spared neurons can still be voluntarily controlled, even without visible movement . These signals decoded and used for intent estimation; however, current wearable solutions lack the necessary hardware software intuitive interfacing of degrees freedom after neural...

We report new electromyography (EMG) and finger motion data that address the question of whether a proportional EMG control soft cable-driven exoskeleton enables force-controlled motions. To investigate this question, we conducted experiments with self-built state- of-the-art for single healthy subject. The weighed only 44 g was built from low-cost materials (ultra-high-molecular- weight polyethylene cord, DC motors, 3D-printed components). goal study to show subject can remotely their left...