Literature DB >> 24187190

Strategies to reduce the configuration time for a powered knee and ankle prosthesis across multiple ambulation modes.

Ann M Simon, Nicholas P Fey, Suzanne B Finucane, Robert D Lipschutz, Levi J Hargrove.   

Abstract

Recently developed powered lower limb prostheses allow users to more closely mimic the kinematics and kinetics of non-amputee gait. However, configuring such a device, in particular a combined powered knee and ankle, for individuals with a transfemoral amputation is challenging. Previous attempts have relied on empirical tuning of all control parameters. This paper describes modified stance phase control strategies - which mimic the behavior of biological joints or depend on the instantaneous loads within the prosthesis - developed to reduce the number of control parameters that require individual tuning. Three individuals with unilateral transfemoral amputations walked with a powered knee and ankle prosthesis across five ambulation modes (level ground walking, ramp ascent/descent, and stair ascent/descent). Starting with a nominal set of impedance parameters, the modified control strategies were applied and the devices were individually tuned such that all subjects achieved comfortable and safe ambulation. The control strategies drastically reduced the number of independent parameters that needed to be tuned for each subject (i.e., to 21 parameters instead of a possible 140 or approximately 4 parameters per mode) while relative amplitudes and timing of kinematic and kinetic data remained similar to those previously reported and to those of non-amputee subjects. Reducing the time necessary to configure a powered device across multiple ambulation modes may allow users to more quickly realize the benefits such powered devices can provide.

Mesh:

Year:  2013        PMID: 24187190     DOI: 10.1109/ICORR.2013.6650371

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


  8 in total

1.  A Unified Parameterization of Human Gait Across Ambulation Modes.

Authors:  Kyle R Embry; Dario J Villarreal; Robert D Gregg
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

2.  Virtual Constraint Control of a Powered Prosthetic Leg: From Simulation to Experiments with Transfemoral Amputees.

Authors:  Robert D Gregg; Tommaso Lenzi; Levi J Hargrove; Jonathon W Sensinger
Journal:  IEEE Trans Robot       Date:  2014-12       Impact factor: 5.567

3.  SIMULTANEOUS CONTROL OF AN ANKLE-FOOT PROSTHESIS MODEL USING A VIRTUAL CONSTRAINT.

Authors:  Akshay Nanjangud; Robert D Gregg
Journal:  Proc ASME Dyn Syst Control Conf       Date:  2014-10

4.  Stand-Up, Squat, Lunge, and Walk With a Robotic Knee and Ankle Prosthesis Under Shared Neural Control.

Authors:  Grace Hunt; Sarah Hood; Tommaso Lenzi
Journal:  IEEE Open J Eng Med Biol       Date:  2021-08-11

5.  Powered Knee and Ankle Prosthesis with Adaptive Control Enables Climbing Stairs with Different Stair Heights, Cadences, and Gait Patterns.

Authors:  Sarah Hood; Lukas Gabert; Tommaso Lenzi
Journal:  IEEE Trans Robot       Date:  2022-03-22       Impact factor: 6.835

6.  Powered knee and ankle prosthesis with indirect volitional swing control enables level-ground walking and crossing over obstacles.

Authors:  Joel Mendez; Sarah Hood; Andy Gunnel; Tommaso Lenzi
Journal:  Sci Robot       Date:  2020-07-22

7.  Considering passive mechanical properties and patient user motor performance in lower limb prosthesis design optimization to enhance rehabilitation outcomes.

Authors:  Matthew J Major; Nicholas P Fey
Journal:  Phys Ther Rev       Date:  2017-07-17

8.  Real-Time Continuous Gait Phase and Speed Estimation from a Single Sensor.

Authors:  David Quintero; Daniel J Lambert; Dario J Villarreal; Robert D Gregg
Journal:  Control Tech Appl       Date:  2017-10-09
  8 in total

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