ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2014
An assistive controller for a lower-limb exoskeleton for rehabilitation after stroke, and preliminary assessment thereof.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Effects of control strategies on gait in robot-assisted post-stroke lower limb rehabilitation: a systematic review.Journal of neuroengineering and rehabilitation · 2022Pooled it
- iP3T: an interpretable multimodal time-series model for enhanced gait phase prediction in wearable exoskeletons.Frontiers in neuroscience · 2024Article
- Lower extremity robotic exoskeleton devices for overground ambulation recovery in acquired brain injury-A review.Frontiers in neurorobotics · 2023Review
- Pneumatic Quasi-Passive Actuation for Soft Assistive Lower Limbs Exoskeleton.Frontiers in neurorobotics · 2020Article
- A Review of Robot-Assisted Lower-Limb Stroke Therapy: Unexplored Paths and Future Directions in Gait Rehabilitation.Frontiers in neurorobotics · 2020Review
- Systematic framework for performance evaluation of exoskeleton actuators.Wearable technologies · 2020Article
- Piecewise and unified phase variables in the control of a powered prosthetic leg.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2017Article
- Unified Phase Variables of Relative Degree Two for Human Locomotion.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016Article
- Acute Cardiorespiratory and Metabolic Responses During Exoskeleton-Assisted Walking Overground Among Persons with Chronic Spinal Cord Injury.Topics in spinal cord injury rehabilitation · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
This paper describes a novel controller, intended for use in a lower-limb exoskeleton, to aid gait rehabilitation in patients with hemiparesis after stroke. The controller makes use of gravity compensation, feedforward movement assistance, and reinforcement of isometric joint torques to achieve assistance without dictating the spatiotemporal nature of joint movement. The patient is allowed to self-select walking speed and is able to make trajectory adaptations to maintain balance without interference from the controller. The governing equations and the finite state machine which comprise the system are described herein. The control architecture was implemented in a lower-limb exoskeleton and a preliminary experimental assessment was conducted in which a patient with hemiparesis resulting from stroke walked with assistance from the exoskeleton. The patient exhibited improvements in fast gait speed, step length asymmetry, and stride length in each session, as measured before and after exoskeleton training, presumably as a result of using the exoskeleton.
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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.