Literature DB >> 26261073

Characterization of unexpected postural changes during robot-assisted gait training in paraplegic patients.

S Koyama1,2, S Tanabe3, E Saitoh1, S Hirano1, Y Shimizu1, M Katoh4, A Uno5, T Takemitsu6.   

Abstract

STUDY
DESIGN: This is a retrospective study.
OBJECTIVES: The objectives of this study were to categorize unexpected postural changes (UPCs) during gait training in paraplegic patients with wearable gait-assist robots, to reveal the incidence of the UPC and its time-dependent changes during initial gait training period and to investigate neurological level-specific differences.
SETTING: This study was conducted in Fujita Health University, Aichi, Japan.
METHODS: We investigated five patients (46.2±14.6 years; lesion level: T6:3, T12:2). All patients had previously achieved gait with wearable robot and walker at supervision level. The UPCs were counted for 2 years and classified according to their type. The time-course data were calculated from the incidence of UPCs for 10 days from initial gait training with the walker. The neurological level-specific differences were investigated between T6 and T12 injuries.
RESULTS: Eighty-five UPCs were observed and classified into three categories: anterior breakdown, posterior breakdown (PBD) and mal-timing. The average rate over the entire period was 0.96±0.62 (incidents/h/subject). PBD, which was defined as hyperflexion of both hip joints, occurred with the highest frequency (0.64±0.64 incidents/h/subject). During initial gait training, there was a gradual decrease in the occurrence of UPC. For neurological level-specific differences, UPCs were observed more frequently in T6 injuries (1.36±0.35 incidents/h/subject) compared with T12 injuries (0.36±0.31 incidents/h/subject).
CONCLUSION: PBDs might be the result of near collisions between the trunk of the user and the walker, which make it difficult for the users to move their trunk over an anterior stance limb. Training that is focused upon well-timed forward movements of the walker might be required to avoid the occurrence of this common UPC.

Entities:  

Mesh:

Year:  2015        PMID: 26261073     DOI: 10.1038/sc.2015.138

Source DB:  PubMed          Journal:  Spinal Cord        ISSN: 1362-4393            Impact factor:   2.772


  23 in total

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Authors:  L A Harvey; R Adams; J Chu; J Batty; D Barratt
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3.  Risk factors for falls of hospitalized stroke patients.

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Journal:  Stroke       Date:  1997-02       Impact factor: 7.914

4.  Falls among Chinese stroke patients during rehabilitation.

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5.  Attentional demands for static and dynamic equilibrium.

Authors:  Y Lajoie; N Teasdale; C Bard; M Fleury
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6.  The dynamics of walking using the hip guidance orthosis (hgo) with crutches.

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Review 8.  Spinal cord injury-induced osteoporosis: pathogenesis and emerging therapies.

Authors:  Ricardo A Battaglino; Antonio A Lazzari; Eric Garshick; Leslie R Morse
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10.  Patient falls in stroke rehabilitation. A challenge to rehabilitation strategies.

Authors:  L Nyberg; Y Gustafson
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4.  Wearable Power-Assist Locomotor for Gait Reconstruction in Patients With Spinal Cord Injury: A Retrospective Study.

Authors:  Soichiro Koyama; Shigeo Tanabe; Takeshi Gotoh; Yuta Taguchi; Masaki Katoh; Eiichi Saitoh; Yohei Otaka; Satoshi Hirano
Journal:  Front Neurorobot       Date:  2022-02-18       Impact factor: 2.650

5.  Designing a robotic smart home for everyone, especially the elderly and people with disabilities.

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