Beneficios de la robótica en la rehabilitación de la marcha en la parálisis cerebral: una revisión sistemática

García, Laredo; González, Yoana González; Carrera, Iria da Cuña; Calvete, Alejandra Alonso

doi:10.1016/j.rh.2020.01.004

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…Similar limitations can be observed in many diseases [47][48][49]. The reason for the difficulties in the assessment is the methodological variability of the research [49][50][51]. Research on the use of exoskeletons has a number of limitations in design and implementation; therefore, scientists and clinicians should not fully rely on them when making decisions.…”

Section: Discussionmentioning

confidence: 89%

“…Postural instability, resting tremor, stiffness and bradykinesia in Parkinson's disease are highly disabling as the disease progresses and reduce the quality of life even with the use of an exoskeleton, except for balance [46]. Similar limitations can be observed in many diseases [47][48][49]. The reason for the difficulties in the assessment is the methodological variability of the research [49][50][51].…”

Section: Discussionmentioning

confidence: 98%

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Personalization of the 3D-Printed Upper Limb Exoskeleton Design—Mechanical and IT Aspects

et al. 2023

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The human hand is the most precise and versatile tool that nature has given man, and any deficits in this area affect the functional capabilities and quality of human life. Scientists, engineers and clinicians are constantly looking for solutions in the field of diagnosis, treatment, rehabilitation and care of patients with hand function deficits. One such solution is a hand exoskeleton. In the process of designing and testing the hand exoskeleton, emphasis should be placed on the full usability and comfort of the system; hence, the issues of personalization, matching and testing are crucial for the development of the discussed group of solutions. The aim of this paper is to present the possibilities of personalizing 3D-printed medical devicesbased on our own experience in functional user assessment andthe material selection, design, optimization using artificial intelligence and production and testing of several generations of different upper limb exoskeletons, incorporatingthe considerations of the Medical Device Regulation (MDR), ISO 13485 and ISO 10993 standards.The novelty and possible contribution of the proposed approach consist of the possibilities and limitations of the personalization of the upper limb exoskeleton discussed in the article as well as the directions of further development of significant scientific, technical and clinical importance.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 98%

Personalization of the 3D-Printed Upper Limb Exoskeleton Design—Mechanical and IT Aspects

et al. 2023

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Autonomous Control of an Electric Vehicle by Computer Vision Applied to the Teaching–Learning Process

Rivera

Andaluz

2021

Smart Innovation, Systems and Technologies

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Systematic review and network meta-analysis of robot-assisted gait training on lower limb function in patients with cerebral palsy

Wang

Zhang

2023

Neurol Sci

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Objective This study aimed to evaluate the effectiveness of robot-assisted gait training (RAGT) in treating lower extremity function in patients with cerebral palsy (CP) and compare the efficacy differences between different robotic systems. Methods PubMed, Web of Science, Cochrane Library, Embase, CNKI, VIP, CBM, and Wanfang databases were searched to collect randomized controlled trials of RAGT for lower extremity dysfunction in patients with CP from the time the databases were created until December 26, 2022. The D and E of Gross Motor Function Measure-88 (GMFM-88) assessed lower limb motor function. Berg Balance Scale (BBS) was used to assess balance function. Walking endurance and speed were assessed using the 6-minute walk test (6MWT) and walking speed. The modified Ashworth Scale (MAS) was used to assess the degree of muscle spasticity in the lower extremities. The Cochrane Risk Assessment Scale and the Physiotherapy Evidence Database (PEDro) scale were used for qualitative assessment in the studies included. RevMan 5.4 was used for data merging and statistical analysis. R 4.2.0 and ADDIS 1.16.8 were used to map the network relationships and to perform the network meta-analysis. Results A total of 14 studies were included in the review. The meta-analysis showed that RAGT significantly improved GMFM-88 D and E, BBS, and 6MWT scores in CP patients compared with conventional rehabilitation. However, for walking speed and MAS, the intervention effect of RAGT was insignificant. The network meta-analysis showed that the best probability ranking for the effect of the 3 different robots on the GMFM-88 D score was LokoHelp (P = 0.66) > Lokomat (P = 0.28) > 3DCaLT (P = 0.06) and the best probability ranking for the GMFM-88 E score was LokoHelp (P = 0.63) > 3DCaLT (P = 0.21) > Lokomat (P = 0.16). Conclusion RAGT positively affects walking and balance function in patients with CP, while efficacy in improving gait speed and muscle spasticity is unknown. The best treatment among the different robots is LokoHelp. Future high-quality, long-term follow-up studies are needed to explore the clinical efficacy of RAGT in depth.

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Beneficios de la robótica en la rehabilitación de la marcha en la parálisis cerebral: una revisión sistemática

Cited by 5 publications

References 22 publications

Personalization of the 3D-Printed Upper Limb Exoskeleton Design—Mechanical and IT Aspects

Personalization of the 3D-Printed Upper Limb Exoskeleton Design—Mechanical and IT Aspects

Autonomous Control of an Electric Vehicle by Computer Vision Applied to the Teaching–Learning Process

Systematic review and network meta-analysis of robot-assisted gait training on lower limb function in patients with cerebral palsy

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