ArticleNeurorehabilitation and neural repair2017
Body-Machine Interface Enables People With Cervical Spinal Cord Injury to Control Devices With Available Body Movements: Proof of Concept.
Article in Neurorehabilitation and neural repair, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01608438 (Motor Learning in a Customized Body-Machine Interface for Persons With Paralysis), which is not on this map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Motor Learning in a Customized Body-Machine Interface for Persons With Paralysis
Who cites it
14 citing papers in PubMed, 36 citations in OpenAlex.
- Learning to Control Complex Robots Using High-Dimensional Body-Machine Interfaces.ACM transactions on human-robot interaction · 2024Article
- Effectiveness of the Combined Use of a Brain-Machine Interface System and Virtual Reality as a Therapeutic Approach in Patients with Spinal Cord Injury: A Systematic Review.Healthcare (Basel, Switzerland) · 2023Review
- A Non-Linear Body Machine Interface for Controlling Assistive Robotic Arms.IEEE transactions on bio-medical engineering · 2023Article
- Restoration of sensory information via bionic hands.Nature biomedical engineering · 2023Review
- Learning to operate a high-dimensional hand via a low-dimensional controller.Frontiers in bioengineering and biotechnology · 2023Article
- Autoencoder-based myoelectric controller for prosthetic hands.Frontiers in bioengineering and biotechnology · 2023Article
- Recovery of Distal Arm Movements in Spinal Cord Injured Patients with a Body-Machine Interface: A Proof-of-Concept Study.Sensors (Basel, Switzerland) · 2021Article
- Guiding functional reorganization of motor redundancy using a body-machine interface.Journal of neuroengineering and rehabilitation · 2020Article
- Article
- Providing low-dimensional feedback of a high-dimensional movement allows for improved performance of a skilled walking task.Scientific reports · 2019Article
- Smoothness: an Unexplored Window into Coordinated Running Proficiency.Sports medicine - open · 2019Article
- Age-dependent differences in learning to control a robot arm using a body-machine interface.Scientific reports · 2019Article
- Development of an EMG-Controlled Serious Game for Rehabilitation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2019Article
- Learning new movements after paralysis: Results from a home-based study.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
This study tested the use of a customized body-machine interface (BoMI) for enhancing functional capabilities in persons with cervical spinal cord injury (cSCI). The interface allows people with cSCI to operate external devices by reorganizing their residual movements. This was a proof-of-concept phase 0 interventional nonrandomized clinical trial. Eight cSCI participants wore a custom-made garment with motion sensors placed on the shoulders. Signals derived from the sensors controlled a computer cursor. A standard algorithm extracted the combinations of sensor signals that best captured each participant's capacity for controlling a computer cursor. Participants practiced with the BoMI for 24 sessions over 12 weeks performing 3 tasks: reaching, typing, and game playing. Learning and performance were evaluated by the evolution of movement time, errors, smoothness, and performance metrics specific to each task. Through practice, participants were able to reduce the movement time and the distance from the target at the 1-second mark in the reaching task. They also made straighter and smoother movements while reaching to different targets. All participants became faster in the typing task and more skilled in game playing, as the pong hit rate increased significantly with practice. The results provide proof-of-concept for the customized BoMI as a means for people with absent or severely impaired hand movements to control assistive devices that otherwise would be manually operated.
Indexed as
Identifiers
What OpenQuestion holds
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.