Zobrazeno 1 - 10
of 1 541
pro vyhledávání: '"Gait rehabilitation"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract This study asked if combining different motor learning mechanisms—adaptation and reinforcement—could produce immediate improvements in over ground walking after stroke. Fifteen adults with stroke engaged in three conditions: (1) reinforc
Externí odkaz:
https://doaj.org/article/51d92424f46641a5880cd75cc8ebf157
Autor:
Pere Bosch-Barceló, Maria Masbernat-Almenara, Oriol Martínez-Navarro, Carlos Tersa-Miralles, Anni Pakarinen, Helena Fernández-Lago
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-12 (2024)
Abstract Background Treadmill gait training has been shown to improve gait performance in People with Parkinson’s Disease (PwPD), and in combination with Virtual Reality, it can be an effective tool for gait rehabilitation. The addition of gamifica
Externí odkaz:
https://doaj.org/article/9bbe272d51404a28bdbfaa304c1ee843
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-11 (2024)
Abstract Background Gait deficits are very common after stroke and therefore an important aspect in poststroke rehabilitation. A currently little used method in gait rehabilitation after stroke is the activation of the flexor reflex (FR) by electrica
Externí odkaz:
https://doaj.org/article/91e02a9895384482bf8878376a857c31
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 442-451 (2024)
Entraining human gait with a periodic mechanical perturbation has been proposed as a potentially effective strategy for gait rehabilitation, but the related studies have mostly depended on the use of a fixed-speed treadmill (FST) due to various pract
Externí odkaz:
https://doaj.org/article/fe03223b95a0442db541d747c646c971
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-13 (2024)
Abstract Background Foot and ankle unloading is essential in various clinical contexts, including ulcers, tendon ruptures, and fractures. Choosing the right assistive device is crucial for functionality and recovery. Yet, research on the impact of de
Externí odkaz:
https://doaj.org/article/cab72209d5eb484b84d2788c42a85b98
Publikováno v:
IEEE Access, Vol 12, Pp 138932-138957 (2024)
Over the past few years, there has been notable advancement in the field of Quantified Gait Analysis (QGA), thanks to machine learning techniques. QGA and gait prediction are areas where Deep learning (DL) techniques are gaining popularity. There has
Externí odkaz:
https://doaj.org/article/a21b781626054c90bf75b993d2a641f5
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 791-799 (2024)
Wearable exoskeletons show significant potential for improving gait impairments, such as interlimb asymmetry. However, a more profound understanding of whether exoskeletons are capable of eliciting neural adaptation is needed. This study aimed to cha
Externí odkaz:
https://doaj.org/article/f9249f0544504b2598e77ed3c3482801
Autor:
Alyssa M. Spomer, Benjamin C. Conner, Michael H. Schwartz, Zachary F. Lerner, Katherine M. Steele
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 20, Iss 1, Pp 1-17 (2023)
Abstract Background Biofeedback is a promising noninvasive strategy to enhance gait training among individuals with cerebral palsy (CP). Commonly, biofeedback systems are designed to guide movement correction using audio, visual, or sensorimotor (i.e
Externí odkaz:
https://doaj.org/article/f519f5b8e63c4cdfabc1b4950f069d13
Publikováno v:
Actuators, Vol 13, Iss 8, p 304 (2024)
Body weight support (BWS) systems are crucial in gait rehabilitation for individuals incapacitated due to injuries or medical conditions. Traditional BWS systems typically employ either static mass–rope or dynamic mass–spring–damper configurati
Externí odkaz:
https://doaj.org/article/02f49745f43d46e79f9a610c0226e715