ArticleSensors (Basel, Switzerland)2017
Knee Impedance Modulation to Control an Active Orthosis Using Insole Sensors.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 49 citations in OpenAlex.
- EMG-controlled knee orthosis lowers effort in sit-to-stand.Frontiers in robotics and AI · 2025Article
- Effects of stance controlFrontiers in bioengineering and biotechnology · 2023Article
- Integration of Inertial Sensors in a Lower Limb Robotic Exoskeleton.Sensors (Basel, Switzerland) · 2022Article
- Polymer Optical Fiber Plantar Pressure Sensors: Design and Validation.Sensors (Basel, Switzerland) · 2022Article
- Coordination Between Partial Robotic Exoskeletons and Human Gait: A Comprehensive Review on Control Strategies.Frontiers in bioengineering and biotechnology · 2022Review
- Atypical Gait Cycles in Parkinson's Disease.Sensors (Basel, Switzerland) · 2021Article
- Review of control strategies for lower-limb exoskeletons to assist gait.Journal of neuroengineering and rehabilitation · 2021Review
- Assessment of an Assistive Control Approach Applied in an Active Knee Orthosis Plus Walker for Post-Stroke Gait Rehabilitation.Sensors (Basel, Switzerland) · 2020Article
- Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers.Frontiers in neurorobotics · 2020Article
- Polymer Optical Fiber Sensors in Healthcare Applications: A Comprehensive Review.Sensors (Basel, Switzerland) · 2019Review
- Assistance Robotics and Biosensors.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robotic devices for rehabilitation and gait assistance have greatly advanced with the objective of improving both the mobility and quality of life of people with motion impairments. To encourage active participation of the user, the use of admittance control strategy is one of the most appropriate approaches, which requires methods for online adjustment of impedance components. Such approach is cited by the literature as a challenge to guaranteeing a suitable dynamic performance. This work proposes a method for online knee impedance modulation, which generates variable gains through the gait cycle according to the users' anthropometric data and gait sub-phases recognized with footswitch signals. This approach was evaluated in an active knee orthosis with three variable gain patterns to obtain a suitable condition to implement a stance controller: two different gain patterns to support the knee in stance phase, and a third pattern for gait without knee support. The knee angle and torque were measured during the experimental protocol to compare both temporospatial parameters and kinematics data with other studies of gait with knee exoskeletons. The users rated scores related to their satisfaction with both the device and controller through QUEST questionnaires. Experimental results showed that the admittance controller proposed here offered knee support in 50% of the gait cycle, and the walking speed was not significantly different between the three gain patterns (
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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.