Literature DB >> 26406027

Reduced knee hyperextension after wearing a robotic knee orthosis during gait training--a case study.

Yurong Mao1,2, Wai Leung Lo1,2, Guangqing Xu1,2, Leonard Sheungwai Li3, Le Li1,2, Dongfeng Huang1,2.   

Abstract

This case study describes the effects of a wearable dynamic knee orthosis to supplement walking training in a patient suffering knee hyperextension. The subject was a 57-year old female who was 3.5 years post-brain tumor surgery. She was presented with impaired right lower extremity muscle performance, increased lower extremity muscle tension, and right knee hyperextension. She reported pain at the right knee joint and tibialis anterior after 10 minutes of over-ground walk. Fifteen one-hour sessions of gait training with robotic knee orthosis (RKO) were provided an over 3 weeks period. The subject demonstrated improvement with right lower limb kinematic and kinetic measures of gait. Peak flexion degree and moment increased (from -4.99° to 13.47°, and from 0.18 Nm/kg to 0.20 Nm/kg respectively).Extension peak moment decreased from 1.03 Nm/kg to 0.53 Nm/kg. Knee joint force decreased from 0.68 N to 0.45 N. Ground reaction force (GRF) reduced from 11.06N to 10.11N. Berg Balance Scale (BBS) improved from 45/56 to 51/56. No difference was observed in Fugl-Meyer Assessment of the Lower limb (FMA-LE) scores. Gait training that integrates an intention-based RKO for correcting knee hyperextension can be clinically effective. The persistence and generalizability of these results need to be further investigated.

Entities:  

Keywords:  Rehabilitation robot; gait analysis; knee hyperextension; robotic knee orthosis

Mesh:

Year:  2015        PMID: 26406027     DOI: 10.3233/BME-151326

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  2 in total

1.  Analysis of Gait Motion Changes by Intervention Using Robot Suit Hybrid Assistive Limb (HAL) in Myelopathy Patients After Decompression Surgery for Ossification of Posterior Longitudinal Ligament.

Authors:  Seioh Ezaki; Hideki Kadone; Shigeki Kubota; Tetsuya Abe; Yukiyo Shimizu; Chun Kwang Tan; Kousei Miura; Yasushi Hada; Yoshiyuki Sankai; Masao Koda; Kenji Suzuki; Masashi Yamazaki
Journal:  Front Neurorobot       Date:  2021-03-31       Impact factor: 2.650

2.  Biomechanical Analysis in Five Bar Linkage Prototype Machine of Gait Training and Rehabilitation by IMU Sensor and Electromyography.

Authors:  Jeong-Woo Seo; Hyeong-Sic Kim
Journal:  Sensors (Basel)       Date:  2021-03-02       Impact factor: 3.576

  2 in total

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