ArticleFrontiers in bioengineering and biotechnology2023
Research on adaptive impedance control technology of upper limb rehabilitation robot based on impedance parameter prediction.
Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Active-Assistive Control Based on Dynamic Moving Window for Trajectory Tracking of an Upper Limb Exoskeleton in Assisted Rehabilitation.Sensors (Basel, Switzerland) · 2026Article
- Development of a Neural-Fuzzy-Based Variable Admittance Control Strategy for an Upper Limb Rehabilitation Exoskeleton.Sensors (Basel, Switzerland) · 2026Article
- Experimental Evaluation of Kinematic Compatibility in Three Upper Limb Exoskeleton Configurations Using Interface Force and Torque.Biomimetics (Basel, Switzerland) · 2026Article
- Advancing Home Rehabilitation: The PlanAID Robot's Approach to Upper-Body Exercise Through Impedance Control.Sensors (Basel, Switzerland) · 2025Article
- Sophisticated Interfaces Between Biosensors and Organoids: Advancing Towards Intelligent Multimodal Monitoring Physiological Parameters.Biosensors · 2025Review
- A novel seamless magnetic-based actuating mechanism for end-effector-based robotic rehabilitation platforms.IEEE robotics and automation letters · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
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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.