Literature DB >> 24187192

Gait mode recognition and control for a portable-powered ankle-foot orthosis.

Yifan David Li, Elizabeth T Hsiao-Wecksler.   

Abstract

Ankle foot orthoses (AFOs) are widely used as assistive/rehabilitation devices to correct the gait of people with lower leg neuromuscular dysfunction and muscle weakness. We have developed a portable powered ankle-foot orthosis (PPAFO), which uses a pneumatic bi-directional rotary actuator powered by compressed CO2 to provide untethered dorsiflexor and plantarflexor assistance at the ankle joint. Since portability is a key to the success of the PPAFO as an assist device, it is critical to recognize and control for gait modes (i.e. level walking, stair ascent/descent). While manual mode switching is implemented in most powered orthotic/prosthetic device control algorithms, we propose an automatic gait mode recognition scheme by tracking the 3D position of the PPAFO from an inertial measurement unit (IMU). The control scheme was designed to match the torque profile of physiological gait data during different gait modes. Experimental results indicate that, with an optimized threshold, the controller was able to identify the position, orientation and gait mode in real time, and properly control the actuation. It was also illustrated that during stair descent, a mode-specific actuation control scheme could better restore gait kinematic and kinetic patterns, compared to using the level ground controller.

Entities:  

Mesh:

Year:  2013        PMID: 24187192     DOI: 10.1109/ICORR.2013.6650373

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  10 in total

1.  Rabbit hindlimb kinematics and ground contact kinetics during the stance phase of gait.

Authors:  Patrick Hall; Caleb Stubbs; David E Anderson; Cheryl Greenacre; Dustin L Crouch
Journal:  PeerJ       Date:  2022-06-17       Impact factor: 3.061

Review 2.  Control strategies for active lower extremity prosthetics and orthotics: a review.

Authors:  Michael R Tucker; Jeremy Olivier; Anna Pagel; Hannes Bleuler; Mohamed Bouri; Olivier Lambercy; José Del R Millán; Robert Riener; Heike Vallery; Roger Gassert
Journal:  J Neuroeng Rehabil       Date:  2015-01-05       Impact factor: 4.262

3.  Detection of Gait Modes Using an Artificial Neural Network during Walking with a Powered Ankle-Foot Orthosis.

Authors:  Mazharul Islam; Elizabeth T Hsiao-Wecksler
Journal:  J Biophys       Date:  2016-12-13

4.  Experimental comparisons of passive and powered ankle-foot orthoses in individuals with limb reconstruction.

Authors:  Elizabeth Russell Esposito; Kelly A Schmidtbauer; Jason M Wilken
Journal:  J Neuroeng Rehabil       Date:  2018-11-21       Impact factor: 4.262

5.  Validation of an inertial measurement unit to determine countermovement jump height.

Authors:  Emil Toft Nielsen; Peter Bo Jørgensen; Inger Mechlenburg; Henrik Sørensen
Journal:  Asia Pac J Sports Med Arthrosc Rehabil Technol       Date:  2018-10-08

6.  Effects of wearable ankle robotics for stair and over-ground training on sub-acute stroke: a randomized controlled trial.

Authors:  Ling-Fung Yeung; Cathy C Y Lau; Charles W K Lai; Yannie O Y Soo; Man-Lok Chan; Raymond K Y Tong
Journal:  J Neuroeng Rehabil       Date:  2021-01-29       Impact factor: 4.262

Review 7.  A Systematic Review of Low-Cost Actuator Implementations for Lower-Limb Exoskeletons: a Technical and Financial Perspective.

Authors:  T Slucock
Journal:  J Intell Robot Syst       Date:  2022-08-16       Impact factor: 3.129

Review 8.  A Review on Locomotion Mode Recognition and Prediction When Using Active Orthoses and Exoskeletons.

Authors:  Luís Moreira; Joana Figueiredo; João Cerqueira; Cristina P Santos
Journal:  Sensors (Basel)       Date:  2022-09-20       Impact factor: 3.847

Review 9.  Application of Wearable Sensors in Actuation and Control of Powered Ankle Exoskeletons: A Comprehensive Review.

Authors:  Azadeh Kian; Giwantha Widanapathirana; Anna M Joseph; Daniel T H Lai; Rezaul Begg
Journal:  Sensors (Basel)       Date:  2022-03-14       Impact factor: 3.576

Review 10.  Review of control strategies for lower-limb exoskeletons to assist gait.

Authors:  Romain Baud; Ali Reza Manzoori; Auke Ijspeert; Mohamed Bouri
Journal:  J Neuroeng Rehabil       Date:  2021-07-27       Impact factor: 4.262

  10 in total

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