Literature DB >> 28113980

Delaying Ambulation Mode Transition Decisions Improves Accuracy of a Flexible Control System for Powered Knee-Ankle Prosthesis.

Ann M Simon, Kimberly A Ingraham, John A Spanias, Aaron J Young, Suzanne B Finucane, Elizabeth G Halsne, Levi J Hargrove.   

Abstract

Powered lower limb prostheses can assist users in a variety of ambulation modes by providing knee and/or ankle joint power. This study's goal was to develop a flexible control system to allow users to perform a variety of tasks in a natural, accurate, and reliable way. Six transfemoral amputees used a powered knee-ankle prosthesis to ascend/descend a ramp, climb a 3- and 4-step staircase, perform walking and standing transitions to and from the staircase, and ambulate at various speeds. A mode-specific classification architecture was developed to allow seamless transitions at four discrete gait events. Prosthesis mode transitions (i.e., the prosthesis' mechanical response) were delayed by 90 ms. Overall, users were not affected by this small delay. Offline classification results demonstrate significantly reduced error rates with the delayed system compared to the non-delayed system (p < 0.001). The average error rate for all heel contact decisions was 1.65% [0.99%] for the non-delayed system and 0.43% [0.23%] for the delayed system. The average error rate for all toe off decisions was 0.47% [0.16%] for the non-delayed system and 0.13% [0.05%] for the delayed system. The results are encouraging and provide another step towards a clinically viable intent recognition system for a powered knee-ankle prosthesis.

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Year:  2016        PMID: 28113980      PMCID: PMC5653221          DOI: 10.1109/TNSRE.2016.2613020

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


  24 in total

1.  An intent recognition strategy for transfemoral amputee ambulation across different locomotion modes.

Authors:  Aaron J Young; Ann Simon; Levi J Hargrove
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

2.  Intent recognition in a powered lower limb prosthesis using time history information.

Authors:  Aaron J Young; Ann M Simon; Nicholas P Fey; Levi J Hargrove
Journal:  Ann Biomed Eng       Date:  2013-09-20       Impact factor: 3.934

3.  A training method for locomotion mode prediction using powered lower limb prostheses.

Authors:  Aaron J Young; Ann M Simon; Levi J Hargrove
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2013-10-30       Impact factor: 3.802

4.  Development of an Environment-Aware Locomotion Mode Recognition System for Powered Lower Limb Prostheses.

Authors:  Ming Liu; Ding Wang; He Helen Huang
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-04-14       Impact factor: 3.802

5.  A Classification Method for User-Independent Intent Recognition for Transfemoral Amputees Using Powered Lower Limb Prostheses.

Authors:  Aaron J Young; Levi J Hargrove
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-03-16       Impact factor: 3.802

6.  Controlling Knee Swing Initiation and Ankle Plantarflexion With an Active Prosthesis on Level and Inclined Surfaces at Variable Walking Speeds.

Authors:  Nicholas P Fey; Ann M Simon; Aaron J Young; Levi J Hargrove
Journal:  IEEE J Transl Eng Health Med       Date:  2014-07-25       Impact factor: 3.316

7.  Intuitive control of a powered prosthetic leg during ambulation: a randomized clinical trial.

Authors:  Levi J Hargrove; Aaron J Young; Ann M Simon; Nicholas P Fey; Robert D Lipschutz; Suzanne B Finucane; Elizabeth G Halsne; Kimberly A Ingraham; Todd A Kuiken
Journal:  JAMA       Date:  2015-06-09       Impact factor: 56.272

8.  Preliminary Evaluations of a Self-Contained Anthropomorphic Transfemoral Prosthesis.

Authors:  Frank Sup; Huseyin Atakan Varol; Jason Mitchell; Thomas J Withrow; Michael Goldfarb
Journal:  IEEE ASME Trans Mechatron       Date:  2009       Impact factor: 5.303

9.  A strategy for identifying locomotion modes using surface electromyography.

Authors:  He Huang; Todd A Kuiken; Robert D Lipschutz
Journal:  IEEE Trans Biomed Eng       Date:  2009-01       Impact factor: 4.538

10.  Configuring a powered knee and ankle prosthesis for transfemoral amputees within five specific ambulation modes.

Authors:  Ann M Simon; Kimberly A Ingraham; Nicholas P Fey; Suzanne B Finucane; Robert D Lipschutz; Aaron J Young; Levi J Hargrove
Journal:  PLoS One       Date:  2014-06-10       Impact factor: 3.240

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  10 in total

1.  Modeling the Transitional Kinematics Between Variable-Incline Walking and Stair Climbing.

Authors:  Shihao Cheng; Edgar Bolívar-Nieto; Cara Gonzalez Welker; Robert D Gregg
Journal:  IEEE Trans Med Robot Bionics       Date:  2022-06-22

2.  Deep generative models with data augmentation to learn robust representations of movement intention for powered leg prostheses.

Authors:  Blair Hu; Ann M Simon; Levi Hargrove
Journal:  IEEE Trans Med Robot Bionics       Date:  2019-11-07

3.  Continuous locomotion mode classification using a robotic hip exoskeleton.

Authors:  Inseung Kang; Dean D Molinaro; Gayeon Choi; Aaron J Young
Journal:  Proc IEEE RAS EMBS Int Conf Biomed Robot Biomechatron       Date:  2020-10-15

4.  Online adaptive neural control of a robotic lower limb prosthesis.

Authors:  J A Spanias; A M Simon; S B Finucane; E J Perreault; L J Hargrove
Journal:  J Neural Eng       Date:  2018-02       Impact factor: 5.379

Review 5.  Machine Learning Approaches for Activity Recognition and/or Activity Prediction in Locomotion Assistive Devices-A Systematic Review.

Authors:  Floriant Labarrière; Elizabeth Thomas; Laurine Calistri; Virgil Optasanu; Mathieu Gueugnon; Paul Ornetti; Davy Laroche
Journal:  Sensors (Basel)       Date:  2020-11-06       Impact factor: 3.576

6.  Fusion of Bilateral Lower-Limb Neuromechanical Signals Improves Prediction of Locomotor Activities.

Authors:  Blair Hu; Elliott Rouse; Levi Hargrove
Journal:  Front Robot AI       Date:  2018-06-26

7.  Online Adaptive Prediction of Human Motion Intention Based on sEMG.

Authors:  Zhen Ding; Chifu Yang; Zhipeng Wang; Xunfeng Yin; Feng Jiang
Journal:  Sensors (Basel)       Date:  2021-04-20       Impact factor: 3.576

8.  Adapting Semi-Active Prostheses to Real-World Movements: Sensing and Controlling the Dynamic Mean Ankle Moment Arm with a Variable-Stiffness Foot on Ramps and Stairs.

Authors:  Jennifer K Leestma; Katherine Heidi Fehr; Peter G Adamczyk
Journal:  Sensors (Basel)       Date:  2021-09-08       Impact factor: 3.576

9.  Adaptive Lower Limb Pattern Recognition for Multi-Day Control.

Authors:  Robert V Schulte; Erik C Prinsen; Jaap H Buurke; Mannes Poel
Journal:  Sensors (Basel)       Date:  2022-08-24       Impact factor: 3.847

Review 10.  Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions.

Authors:  Aaron Fleming; Nicole Stafford; Stephanie Huang; Xiaogang Hu; Daniel P Ferris; He Helen Huang
Journal:  J Neural Eng       Date:  2021-07-27       Impact factor: 5.379

  10 in total

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