ReviewFrontiers in neurorobotics2019
Neuromusculoskeletal Modeling-Based Prostheses for Recovery After Spinal Cord Injury.
Review in Frontiers in neurorobotics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 58 citations in OpenAlex.
- Virtual reality mediated brain-computer interface training improves sensorimotor neuromodulation in unimpaired and post spinal cord injury individuals.Scientific reports · 2026Article
- Medical Digital Twin: A Review on Technical Principles and Clinical Applications.Journal of clinical medicine · 2025Review
- Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction.Frontiers in bioengineering and biotechnology · 2025Article
- Automatic Assist Level Adjustment Function of a Gait Exercise Rehabilitation Robot with Functional Electrical Stimulation for Spinal Cord Injury: Insights from Clinical Trials.Biomimetics (Basel, Switzerland) · 2024Article
- Towards co-design of rehabilitation technologies: a collaborative approach to prioritize usability issues.Frontiers in rehabilitation sciences · 2024Article
- Ten steps to becoming a musculoskeletal simulation expert: A half-century of progress and outlook for the future.Journal of biomechanics · 2023Review
- Systematic review of digital twin technology and applications.Visual computing for industry, biomedicine, and art · 2023Review
- Towards next generation digital twin in robotics: Trends, scopes, challenges, and future.Heliyon · 2023Review
- Neuromusculoskeletal model-informed machine learning-based control of a knee exoskeleton with uncertainties quantification.Frontiers in neuroscience · 2023Article
- Co-simulation of human digital twins and wearable inertial sensors to analyse gait event estimation.Frontiers in bioengineering and biotechnology · 2023Article
- Designing a Clinical Trial with Olfactory Ensheathing Cell Transplantation-Based Therapy for Spinal Cord Injury: A Position Paper.Biomedicines · 2022Review
- Beyond Digital Twins: Phygital Twins for Neuroergonomics in Human-Robot Interaction.Frontiers in neurorobotics · 2022Article
- Digital Twins for Multiple Sclerosis.Frontiers in immunology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Concurrent stimulation and reinforcement of motor and sensory pathways has been proposed as an effective approach to restoring function after developmental or acquired neurotrauma. This can be achieved by applying multimodal rehabilitation regimens, such as thought-controlled exoskeletons or epidural electrical stimulation to recover motor pattern generation in individuals with spinal cord injury (SCI). However, the human neuromusculoskeletal (NMS) system has often been oversimplified in designing rehabilitative and assistive devices. As a result, the neuromechanics of the muscles is seldom considered when modeling the relationship between electrical stimulation, mechanical assistance from exoskeletons, and final joint movement. A powerful way to enhance current neurorehabilitation is to develop the next generation prostheses incorporating personalized NMS models of patients. This strategy will enable an individual voluntary interfacing with multiple electromechanical rehabilitation devices targeting key afferent and efferent systems for functional improvement. This narrative review discusses how real-time NMS models can be integrated with finite element (FE) of musculoskeletal tissues and interface multiple assistive and robotic devices with individuals with SCI to promote neural restoration. In particular, the utility of NMS models for optimizing muscle stimulation patterns, tracking functional improvement, monitoring safety, and providing augmented feedback during exercise-based rehabilitation are discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.