Article

Predicting the effects of epidural stimulation to improve hand function in patients with spinal cord injury: An active learning-based solution using dynamic sample weighting

2018-06-07

Abstract excerpt

In patients with chronic spinal cord injury (SCI), few therapies are available to improve neurological function. Neuromodulation of the spinal cord with epidural stimulation (EDS) has shown promise enabling the voluntary activation of motor pools caudal to the level of the injury. EDS is performed with multiple electrode arrays in which several stimulation variables such as the frequency, amplitude, and location o...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5f526eda-8cdb-5fe4-8ad3-6a047e82d3cb
DOI: 10.1101/341719

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predicting the effects of epidural stimulation to improve hand function in patients with spinal cord injury: An active learning-based solution using dynamic sample weightingDOI 10.1101/341719Read

NeuroMechanics: Electrophysiological and Computational Methods to Accurately Estimate the Neural Drive to Muscles in Humans <i>In Vivo</i>Semantic proximity Read

MyoGen: Unified Biophysical Modeling of Human Neuromotor Activity and Resulting SignalsSemantic proximity Read

Classification of the Attempted Arm and Hand Movements of Patients with Spinal Cord Injury Using Deep Learning ApproachSemantic proximity Read

Brain-Controlled Epidural Spinal Stimulation for Upper-Limb Motor Function after TetraplegiaSemantic proximity Read

Effect of Cervical Epidural Stimulation After Neurological Damage: Protocol for Phase I/II Open Label Controlled CE-STAND TrialSemantic proximity Read

Parameter-Dependent Effects of Spinal Cord Stimulation on Neural Activation and Evoked Compound Action PotentialsSemantic proximity Read

Spinal neuromodulation targeting synergistically acting locomotor networks facilitates walking recovery after spinal cord injurySemantic proximity Read

Optimizing Rotator Cuff Rehabilitation Dosage Using a Machine Learning–Based Pilot Study with EMG for Personalized Physical TherapySemantic proximity Read

Rapidly Inferring Personalized Neurostimulation Parameters with Meta-Learning: A Case Study of Individualized Fiber Recruitment in Vagus Nerve StimulationSemantic proximity Read

Mapping Hand Function with Simultaneous Brain-Spinal Cord Functional MRISemantic proximity Read

Neural signals encoded by specific frequencies of closed-loop electrical stimulation structurally and functionally reconstruct spinal sensorimotor circuits after spinal cord injurySemantic proximity Read

A Closed-Loop Intelligent Management System for Postoperative Orthopedic Rehabilitation: Integrating Deep Reinforcement Learning with Wearable Sensing and Prognostic PredictionSemantic proximity Read