Literature DB >> 33339443

Lower Limb Exoskeleton Gait Planning Based on Crutch and Human-Machine Foot Combined Center of Pressure.

Wei Yang1,2, Jiyu Zhang3, Sheng Zhang1,2, Canjun Yang1,2.   

Abstract

With the help of wearable robotics, the lower limb exoskeleton becomes a promising solution for spinal cord injury (SCI) patients to recover lower body locomotion ability. However, fewer exoskeleton gait planning methods can meet the needs of patient in real time, e.g., stride length or step width, etc., which may lead to human-machine incoordination, limit comfort, and increase the risk of falling. This work presents a human-exoskeleton-crutch system with the center of pressure (CoP)-based gait planning method to enable the balance control during the exoskeleton-assisted walking with crutches. The CoP generated by crutches and human-machine feet makes it possible to obtain the overall stability conditions of the system in the process of exoskeleton-assisted quasi-static walking, and therefore, to determine the next stride length and ensure the balance of the next step. Thus, the exoskeleton gait is planned with the guidance of stride length. It is worth emphasizing that the nominal reference gait is adopted as a reference to ensure that the trajectory of the swing ankle mimics the reference one well. This gait planning method enables the patient to adaptively interact with the exoskeleton gait. The online gait planning walking tests with five healthy volunteers proved the method's feasibility. Experimental results indicate that the algorithm can deal with the sensed signals and plan the landing point of the swing leg to ensure balanced and smooth walking. The results suggest that the method is an effective means to improve human-machine interaction. Additionally, it is meaningful for the further training of independent walking stability control in exoskeletons for SCI patients with less assistance of crutches.

Entities:  

Keywords:  center of pressure; gait planning; human–machine interaction; stride length

Mesh:

Year:  2020        PMID: 33339443      PMCID: PMC7766720          DOI: 10.3390/s20247216

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  12 in total

1.  Design and evaluation of Mina: a robotic orthosis for paraplegics.

Authors:  Peter D Neuhaus; Jerryll H Noorden; Travis J Craig; Tecalote Torres; Justin Kirschbaum; Jerry E Pratt
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

Review 2.  ISCoS-WHO collaboration. International Perspectives of Spinal Cord Injury (IPSCI) report.

Authors:  F Biering-Sørensen; J E Bickenbach; W S El Masry; A Officer; P M von Groote
Journal:  Spinal Cord       Date:  2011-03-22       Impact factor: 2.772

3.  Vertical ground reaction force-based analysis of powered exoskeleton-assisted walking in persons with motor-complete paraplegia.

Authors:  Drew B Fineberg; Pierre Asselin; Noam Y Harel; Irina Agranova-Breyter; Stephen D Kornfeld; William A Bauman; Ann M Spungen
Journal:  J Spinal Cord Med       Date:  2013-07       Impact factor: 1.985

4.  Effects of training with the ReWalk exoskeleton on quality of life in incomplete spinal cord injury: a single case study.

Authors:  Katharina Raab; Karsten Krakow; Florian Tripp; Michael Jung
Journal:  Spinal Cord Ser Cases       Date:  2016-01-07

5.  Real time computation of Centroidal Momentum while human walking in the lower limbs rehabilitation exoskeleton: Preliminary trials.

Authors:  Je Hyung Jung; Jan F Veneman
Journal:  IEEE Int Conf Rehabil Robot       Date:  2019-06

6.  Intensive Gait Treatment Using a Robot Suit Hybrid Assistive Limb in Acute Spinal Cord Infarction: Report of Two Cases.

Authors:  Hiroki Watanabe; Aiki Marushima; Hiroaki Kawamoto; Hideki Kadone; Tomoyuki Ueno; Yukiyo Shimizu; Ayumu Endo; Yasushi Hada; Kousaku Saotome; Tetsuya Abe; Masashi Yamazaki; Yoshiyuki Sankai; Eiichi Ishikawa; Akira Matsumura
Journal:  J Spinal Cord Med       Date:  2017-10-09       Impact factor: 1.985

7.  Gait training after spinal cord injury: safety, feasibility and gait function following 8 weeks of training with the exoskeletons from Ekso Bionics.

Authors:  Carsten Bach Baunsgaard; Ulla Vig Nissen; Anne Katrin Brust; Angela Frotzler; Cornelia Ribeill; Yorck-Bernhard Kalke; Natacha León; Belén Gómez; Kersti Samuelsson; Wolfram Antepohl; Ulrika Holmström; Niklas Marklund; Thomas Glott; Arve Opheim; Jesus Benito; Narda Murillo; Janneke Nachtegaal; Willemijn Faber; Fin Biering-Sørensen
Journal:  Spinal Cord       Date:  2017-11-06       Impact factor: 2.772

8.  Pilot study of locomotion improvement using hybrid assistive limb in chronic stroke patients.

Authors:  Hiroaki Kawamoto; Kiyotaka Kamibayashi; Yoshio Nakata; Kanako Yamawaki; Ryohei Ariyasu; Yoshiyuki Sankai; Masataka Sakane; Kiyoshi Eguchi; Naoyuki Ochiai
Journal:  BMC Neurol       Date:  2013-10-07       Impact factor: 2.474

9.  Gait training early after stroke with a new exoskeleton--the hybrid assistive limb: a study of safety and feasibility.

Authors:  Anneli Nilsson; Katarina Skough Vreede; Vera Häglund; Hiroaki Kawamoto; Yoshiyuki Sankai; Jörgen Borg
Journal:  J Neuroeng Rehabil       Date:  2014-06-02       Impact factor: 4.262

10.  Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of Concept.

Authors:  Arnaldo Leal-Junior; Leticia Avellar; Jonathan Jaimes; Camilo Díaz; Wilian Dos Santos; Adriano A G Siqueira; Maria José Pontes; Carlos Marques; Anselmo Frizera
Journal:  Sensors (Basel)       Date:  2020-06-04       Impact factor: 3.576

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