ArticleNeuropsychologia2015
Remapping residual coordination for controlling assistive devices and recovering motor functions.
Article in Neuropsychologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
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Who cites it
12 citing papers in PubMed.
- Learning to Control Complex Robots Using High-Dimensional Body-Machine Interfaces.ACM transactions on human-robot interaction · 2024Article
- Intrinsic somatosensory feedback supports motor control and learning to operate artificial body parts.Journal of neural engineering · 2022Article
- 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
- Age-dependent differences in learning to control a robot arm using a body-machine interface.Scientific reports · 2019Article
- Data-driven body-machine interface for the accurate control of drones.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Reorganization of finger coordination patterns through motor exploration in individuals after stroke.Journal of neuroengineering and rehabilitation · 2017Article
- Learning new movements after paralysis: Results from a home-based study.Scientific reports · 2017Article
- Static Versus Dynamic Decoding Algorithms in a Non-Invasive Body-Machine Interface.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2017Article
- Body-Machine Interface Enables People With Cervical Spinal Cord Injury to Control Devices With Available Body Movements: Proof of Concept.Neurorehabilitation and neural repair · 2017Article
- Using noise to shape motor learning.Journal of neurophysiology · 2017Article
- Body-Machine Interfaces after Spinal Cord Injury: Rehabilitation and Brain Plasticity.Brain sciences · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The concept of human motor redundancy attracted much attention since the early studies of motor control, as it highlights the ability of the motor system to generate a great variety of movements to achieve any well-defined goal. The abundance of degrees of freedom in the human body may be a fundamental resource in the learning and remapping problems that are encountered in human-machine interfaces (HMIs) developments. The HMI can act at different levels decoding brain signals or body signals to control an external device. The transformation from neural signals to device commands is the core of research on brain-machine interfaces (BMIs). However, while BMIs bypass completely the final path of the motor system, body-machine interfaces (BoMIs) take advantage of motor skills that are still available to the user and have the potential to enhance these skills through their consistent use. BoMIs empower people with severe motor disabilities with the possibility to control external devices, and they concurrently offer the opportunity to focus on achieving rehabilitative goals. In this study we describe a theoretical paradigm for the use of a BoMI in rehabilitation. The proposed BoMI remaps the user's residual upper body mobility to the two coordinates of a cursor on a computer screen. This mapping is obtained by principal component analysis (PCA). We hypothesize that the BoMI can be specifically programmed to engage the users in functional exercises aimed at partial recovery of motor skills, while simultaneously controlling the cursor and carrying out functional tasks, e.g. playing games. Specifically, PCA allows us to select not only the subspace that is most comfortable for the user to act upon, but also the degrees of freedom and coordination patterns that the user has more difficulty engaging. In this article, we describe a family of map modifications that can be made to change the motor behavior of the user. Depending on the characteristics of the impairment of each high-level spinal cord injury (SCI) survivor, we can make modifications to restore a higher level of symmetric mobility (left versus right), or to increase the strength and range of motion of the upper body that was spared by the injury. Results showed that this approach restored symmetry between left and right side of the body, with an increase of mobility and strength of all the degrees of freedom in the participants involved in the control of the interface. This is a proof of concept that our BoMI may be used concurrently to control assistive devices and reach specific rehabilitative goals. Engaging the users in functional and entertaining tasks while practicing the interface and changing the map in the proposed ways is a novel approach to rehabilitation treatments facilitated by portable and low-cost technologies.
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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.