Efectos a corto plazo del entrenamiento de la marcha en una órtesis robótica (Lokomat®) con retroalimentación auditiva en pacientes con lesión medular incompleta crónica

Fresnedo, Jimena Quinzaños; Olmos, R.C. Sahagún; Hernández, Saúl Renán León; Zavala, Ramiro Pérez; Uriostegui, Ivett Quiñones; Salazar, C.J. Solano; Lira, R.T. Cruz; Santana, M.C. Tinajero

doi:10.1016/j.rh.2014.10.002

Cited by 5 publications

(19 citation statements)

References 25 publications

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“…Relative to the population in this review, neurological patients were found in 15 out of 20 papers (75%). That is: 8 of stroke [ 5 , 7 , 16 , 19 , 21 , 39 , 41 , 42 ]; 1 of cerebral palsy [ 17 ]; 2 of hemiparesis [ 14 , 18 ]; 4 of Parkinson’s [ 19 , 23 , 38 , 40 ]; and 1 with incomplete spinal cord injury [ 15 ]. Byl et al [ 19 ] include stroke and Parkinson’s in the same research.…”

Section: Resultsmentioning

confidence: 99%

“…Four studies [ 10 , 14 , 15 , 16 ] stood out due to their use of exoskeletons, although only 2 of them produced feedback, Alex II [ 10 ] and Lokomat [ 16 ]. The others used complementary technology which only assists gait: Gar [ 14 ] and Lokomat [ 15 ] in this case without feedback.…”

Section: Resultsmentioning

confidence: 99%

“…The feedback technology was supplemented with other tools in 8 papers: treadmills [ 5 , 11 , 14 , 16 , 23 , 40 ], exoskeletons [ 14 , 15 ], forearm crutches [ 15 ], and metronome [ 18 ]. Figure 2 summarizes the use of technologies.…”

Section: Resultsmentioning

confidence: 99%

“…The combination of types of feedback used in descending order was: 55% visual, concurrent/immediate and prescriptive feedback [ 5 , 10 , 11 , 14 , 16 , 17 , 18 , 19 , 20 , 40 , 42 ]; 30% acoustic, terminal/retarded and descriptive [ 5 , 7 , 15 , 17 , 21 , 41 ]; 10% haptic, terminal/retarded and descriptive [ 22 , 26 ], acoustic, concurrent/immediate and descriptive [ 10 , 38 ] and visual, terminal/retarded and descriptive feedback [ 39 , 40 ]; 5% combined haptic, concurrent/immediate and prescriptive feedback [ 23 ] ( Figure 3 ).…”

Section: Resultsmentioning

confidence: 99%

“…These treatments incorporate: robot assisted movement [ 10 , 14 , 15 , 16 ], virtual reality technology [ 17 ] and inertial monitoring devices [ 18 , 19 ] amongst others. Some of these systems use visual [ 5 , 11 , 20 ], acoustic [ 15 , 21 ] and/or haptic [ 22 , 23 ] feedback in a coherent and detailed way, adapted to each user’s individual needs [ 24 ]. New technologies based on feedback are extremely useful in the area of rehabilitation for re-educating an altered function or teaching a new one [ 2 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

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Technology-Based Feedback and Its Efficacy in Improving Gait Parameters in Patients with Abnormal Gait: A Systematic Review

Chamorro-Moriana

Moreno

Sevillano

2018

Sensors

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This systematic review synthesized and analyzed clinical findings related to the effectiveness of innovative technological feedback for tackling functional gait recovery. An electronic search of PUBMED, PEDro, WOS, CINAHL, and DIALNET was conducted from January 2011 to December 2016. The main inclusion criteria were: patients with modified or abnormal gait; application of technology-based feedback to deal with functional recovery of gait; any comparison between different kinds of feedback applied by means of technology, or any comparison between technological and non-technological feedback; and randomized controlled trials. Twenty papers were included. The populations were neurological patients (75%), orthopedic and healthy subjects. All participants were adults, bar one. Four studies used exoskeletons, 6 load platforms and 5 pressure sensors. The breakdown of the type of feedback used was as follows: 60% visual, 40% acoustic and 15% haptic. 55% used terminal feedback versus 65% simultaneous feedback. Prescriptive feedback was used in 60% of cases, while 50% used descriptive feedback. 62.5% and 58.33% of the trials showed a significant effect in improving step length and speed, respectively. Efficacy in improving other gait parameters such as balance or range of movement is observed in more than 75% of the studies with significant outcomes. Conclusion: Treatments based on feedback using innovative technology in patients with abnormal gait are mostly effective in improving gait parameters and therefore useful for the functional recovery of patients. The most frequently highlighted types of feedback were immediate visual feedback followed by terminal and immediate acoustic feedback.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Technology-Based Feedback and Its Efficacy in Improving Gait Parameters in Patients with Abnormal Gait: A Systematic Review

Chamorro-Moriana

Moreno

Sevillano

2018

Sensors

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Eficacia del sistema robótico de entrenamiento de la marcha tipo Lokomat en la rehabilitación de pacientes con lesión medular incompleta. Una revisión sistemática

2017

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Walking speed is not the best outcome to evaluate the effect of robotic assisted gait training in people with motor incomplete Spinal Cord Injury: A Systematic Review with meta-analysis

Aguirre-Güemez

Pérez-Sanpablo

Quinzaños-Fresnedo

et al. 2017

The Journal of Spinal Cord Medicine

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Context While there are previous systematic reviews on the effectiveness of the use of robotic-assisted gait training (RAGT) in people with spinal cord injuries (SCI), as this is a dynamic field, new studies have been produced that are now incorporated on this systematic review (SR) with meta-analysis, updating the available evidence on this area. Objective To synthesise the available evidence on the use of RAGT, to improve gait, strength and functioning. Methods SR and meta-analysis following the Cochrane Handbook for Systematic Reviews of Interventions were implemented. Cochrane Injuries Group Specialized Register, PubMed, MEDLINE, EMBASE, CINAHL, ISIWeb of Science (SCIEXPANDED) databases were reviewed for the period 1990 to December 2016. Three researchers independently identified and categorized trials; 293 studies were identified, 273 eliminated; remaining 15 randomized clinical trials (RCT) and five SR. Six studies had available data for meta-analysis (222 participants). Results The pooled mean demonstrated a beneficial effect of RAGT for WISCI, FIM-L and LEMS (3.01, 2.74 and 1.95 respectively), and no effect for speed. Conclusions The results show a positive effect in the use of RAGT. However, this should be taken carefully due to heterogeneity of the studies, small samples and identified limitations of some of the included trials. These results highlight the relevance of implementing a well-designed multicenter RCT powered enough to evaluate different RAGT approaches.

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Efectos a corto plazo del entrenamiento de la marcha en una órtesis robótica (Lokomat®) con retroalimentación auditiva en pacientes con lesión medular incompleta crónica

Cited by 5 publications

References 25 publications

Technology-Based Feedback and Its Efficacy in Improving Gait Parameters in Patients with Abnormal Gait: A Systematic Review

Technology-Based Feedback and Its Efficacy in Improving Gait Parameters in Patients with Abnormal Gait: A Systematic Review

Eficacia del sistema robótico de entrenamiento de la marcha tipo Lokomat en la rehabilitación de pacientes con lesión medular incompleta. Una revisión sistemática

Walking speed is not the best outcome to evaluate the effect of robotic assisted gait training in people with motor incomplete Spinal Cord Injury: A Systematic Review with meta-analysis

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