Literature DB >> 24176961

Designs and performance of microprocessor-controlled knee joints.

Julius Thiele, Bettina Westebbe, Malte Bellmann, Marc Kraft.   

Abstract

In this comparative study, three transfemoral amputee subjects were fitted with four different microprocessor-controlled exoprosthetic knee joints (MPK): C-Leg, Orion, Plié2.0, and Rel-K. In a motion analysis laboratory, objective gait measures were acquired during level walking at different velocities. Subsequent technical analyses, which involved X-ray computed tomography, identified the functional mechanisms of each device and enabled corroboration of the performance in the gait laboratory by the engineering design of the MPK. Gait measures showed that the mean increase of the maximum knee flexion angle at different walking velocities was closest in value to the unaffected contralateral knee (6.2°/m/s) with C-Leg (3.5°/m/s; Rel-K 17.0°/m/s, Orion 18.3°/m/s, and Plié2.0 28.1°/m/s). Technical analyses corroborated that only with Plié2.0 the flexion resistances were not regulated by microprocessor control at different walking velocities. The muscular effort for the initiation of the swing phase, measured by the minimum hip moment, was found to be lowest with C-Leg (-82.1±14.1 Nm; Rel-K -83.59±17.8 Nm, Orion -88.0±16.3 Nm, and Plié2.0 -91.6±16.5 Nm). Reaching the extension stop at the end of swing phase was reliably executed with both Plié2.0 and C-Leg. Abrupt terminal stance phase extension observed with Plié2.0 and Rel-K could be attributed to the absence of microprocessor control of extension resistance.

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Mesh:

Year:  2014        PMID: 24176961     DOI: 10.1515/bmt-2013-0069

Source DB:  PubMed          Journal:  Biomed Tech (Berl)        ISSN: 0013-5585            Impact factor:   1.411


  9 in total

1.  EFFECTS OF THE GENIUM MICROPROCESSOR KNEE SYSTEM ON KNEE MOMENT SYMMETRY DURING HILL WALKING.

Authors:  M Jason Highsmith; Tyler D Klenow; Jason T Kahle; Matthew M Wernke; Stephanie L Carey; Rebecca M Miro; Derek J Lura
Journal:  Technol Innov       Date:  2016-09-01

2.  OASIS 1: Retrospective analysis of four different microprocessor knee types.

Authors:  James H Campbell; Phillip M Stevens; Shane R Wurdeman
Journal:  J Rehabil Assist Technol Eng       Date:  2020-11-05

3.  Enhancement of a prosthetic knee with a microprocessor-controlled gait phase switch reduces falls and improves balance confidence and gait speed in community ambulators with unilateral transfemoral amputation.

Authors:  Sara Agueda Fuenzalida Squella; Andreas Kannenberg; Ângelo Brandão Benetti
Journal:  Prosthet Orthot Int       Date:  2017-07-09       Impact factor: 1.895

4.  Maximum Swing Flexion or Gait Symmetry: A Comparative Evaluation of Control Targets on Metabolic Energy Expenditure of Amputee Using Intelligent Prosthetic Knee.

Authors:  Wujing Cao; Weiliang Zhao; Hongliu Yu; Wenming Chen; Qiaoling Meng
Journal:  Biomed Res Int       Date:  2018-11-21       Impact factor: 3.411

5.  Functional level assessment of individuals with transtibial limb loss: Evaluation in the clinical setting versus objective community ambulatory activity.

Authors:  Michael S Orendurff; Silvia U Raschke; Lorne Winder; David Moe; David A Boone; Toshiki Kobayashi
Journal:  J Rehabil Assist Technol Eng       Date:  2016-03-09

6.  Characterizing the Gait of People With Different Types of Amputation and Prosthetic Components Through Multimodal Measurements: A Methodological Perspective.

Authors:  Cristiano De Marchis; Simone Ranaldi; Tiwana Varrecchia; Mariano Serrao; Stefano Filippo Castiglia; Antonella Tatarelli; Alberto Ranavolo; Francesco Draicchio; Francesco Lacquaniti; Silvia Conforto
Journal:  Front Rehabil Sci       Date:  2022-03-17

Review 7.  Mechanisms and component design of prosthetic knees: A review from a biomechanical function perspective.

Authors:  Wei Liang; Zhihui Qian; Wei Chen; Hounan Song; Yu Cao; Guowu Wei; Lei Ren; Kunyang Wang; Luquan Ren
Journal:  Front Bioeng Biotechnol       Date:  2022-09-15

8.  Analysis of clinically important factors on the performance of advanced hydraulic, microprocessor-controlled exo-prosthetic knee joints based on 899 trial fittings.

Authors:  Andreas Hahn; Michael Lang; Claudia Stuckart
Journal:  Medicine (Baltimore)       Date:  2016-11       Impact factor: 1.889

9.  Design, development, and evaluation of a local sensor-based gait phase recognition system using a logistic model decision tree for orthosis-control.

Authors:  Johnny D Farah; Natalie Baddour; Edward D Lemaire
Journal:  J Neuroeng Rehabil       Date:  2019-02-01       Impact factor: 4.262

  9 in total

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