Literature DB >> 23529105

Powered hip exoskeletons can reduce the user's hip and ankle muscle activations during walking.

Tommaso Lenzi, Maria Chiara Carrozza, Sunil K Agrawal.   

Abstract

In this paper, we study the human locomotor adaptation to the action of a powered exoskeleton providing assistive torque at the user's hip during walking. To this end, we propose a controller that provides the user's hip with a fraction of the nominal torque profile, adapted to the specific gait features of the user from Winter's reference data . The assistive controller has been implemented on the ALEX II exoskeleton and tested on ten healthy subjects. Experimental results show that when assisted by the exoskeleton, users can reduce the muscle effort compared to free walking. Despite providing assistance only to the hip joint, both hip and ankle muscles significantly reduced their activation, indicating a clear tradeoff between hip and ankle strategy to propel walking.

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Mesh:

Year:  2013        PMID: 23529105     DOI: 10.1109/TNSRE.2013.2248749

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  33 in total

1.  A Novel Approach to Apply Gait Synchronized External Forces on the Pelvis using A-TPAD to Reduce Walking Effort.

Authors:  Vineet Vashista; Moiz Khan; Sunil K Agrawal
Journal:  IEEE Robot Autom Lett       Date:  2016-01-26

Review 2.  A unified perspective on ankle push-off in human walking.

Authors:  Karl E Zelik; Peter G Adamczyk
Journal:  J Exp Biol       Date:  2016-12-01       Impact factor: 3.312

3.  Quasi-Direct Drive Actuation for a Lightweight Hip Exoskeleton with High Backdrivability and High Bandwidth.

Authors:  Shuangyue Yu; Tzu-Hao Huang; Xiaolong Yang; Chunhai Jiao; Jianfu Yang; Yue Chen; Jingang Yi; Hao Su
Journal:  IEEE ASME Trans Mechatron       Date:  2020-05-18       Impact factor: 5.303

4.  Robot-Aided Training of Propulsion During Walking: Effects of Torque Pulses Applied to the Hip and Knee Joints During Stance.

Authors:  Robert McGrath; Barry Bodt; Fabrizio Sergi
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-01-28       Impact factor: 3.802

5.  Real-Time Gait Phase Estimation for Robotic Hip Exoskeleton Control During Multimodal Locomotion.

Authors:  Inseung Kang; Dean D Molinaro; Srijan Duggal; Yanrong Chen; Pratik Kunapuli; Aaron J Young
Journal:  IEEE Robot Autom Lett       Date:  2021-02-26

6.  Analysis of the Bayesian Gait-State Estimation Problem for Lower-Limb Wearable Robot Sensor Configurations.

Authors:  Roberto Leo Medrano; Gray Cortright Thomas; Elliott J Rouse; Robert D Gregg
Journal:  IEEE Robot Autom Lett       Date:  2022-06-17

7.  A Robust Parameterization of Human Gait Patterns Across Phase-Shifting Perturbations.

Authors:  Dario J Villarreal; Hasan A Poonawala; Robert D Gregg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-05-13       Impact factor: 3.802

8.  Continuous-Phase Control of a Powered Knee-Ankle Prosthesis: Amputee Experiments Across Speeds and Inclines.

Authors:  David Quintero; Dario J Villarreal; Daniel J Lambert; Susan Kapp; Robert D Gregg
Journal:  IEEE Trans Robot       Date:  2018-02-27       Impact factor: 5.567

9.  Biomechanical analysis of an unpowered hip flexion orthosis on individuals with and without multiple sclerosis.

Authors:  Ross M Neuman; Staci M Shearin; Karen J McCain; Nicholas P Fey
Journal:  J Neuroeng Rehabil       Date:  2021-06-27       Impact factor: 4.262

10.  Locomotion Mode Recognition with Inertial Signals for Hip Joint Exoskeleton.

Authors:  Gang Du; Jinchen Zeng; Cheng Gong; Enhao Zheng
Journal:  Appl Bionics Biomech       Date:  2021-05-24       Impact factor: 1.781

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