Article
Chemistry, Analytical
Rami Alhamad, Nitin Seth, Hussein A. Abdullah
Summary: The preliminary test results of a novel robotic hand rehabilitation device aimed at treatment for the loss of motor abilities in the fingers and thumb due to stroke are presented. This device has been developed in collaboration with physiotherapists who regularly treat individuals who have suffered from a stroke. The device was tested on healthy adults to ensure comfort, user accessibility, and repeatability for various hand sizes in preparation for obtaining permission from regulatory bodies and implementing the design in a full clinical trial.
Article
Chemistry, Multidisciplinary
Ana Mandeljc, Aleksander Rajhard, Marko Munih, Roman Kamnik
Summary: Due to the ageing population and increasing number of stroke patients, telerehabilitation has the potential to be the future of rehabilitation, easing the workload of physiotherapists and occupational therapists. This paper presents the design and evaluation of a robotic device for post-stroke wrist and finger rehabilitation. The results show that the device can produce hand movements comparable to the unconstrained motion of healthy subjects, especially in extension and opening of the hand.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Analytical
Gregory Jackson, Hussein A. Abdullah
Summary: This study designed a pneumatic hand training device for post-stroke rehabilitation and verified its safety and comfort through experiments.
Article
Chemistry, Multidisciplinary
Federica Bressi, Fabio Santacaterina, Laura Cricenti, Benedetta Campagnola, Francesca Nasto, Carla Assenza, Daniela Morelli, Francesca Cordella, Martina Lapresa, Loredana Zollo, Silvia Sterzi, Marco Bravi
Summary: This study describes the effectiveness of a combined robotic and conventional rehabilitation treatment in the recovery of sensory-motor capabilities and quality of life in a ten-year-old child after stroke. The results show improvements in functional scales and quality of life after the treatment.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Biomedical
Ziqi Guo, Sa Zhou, Kailai Ji, Yongqi Zhuang, Jie Song, Chingyi Nam, Xiaoling Hu, Yongping Zheng
Summary: The study developed a CMC-EMG-driven control method for wrist-hand rehabilitation in stroke survivors. Rehabilitation effectiveness was evaluated through clinical assessments, CMC, and EMG activation levels.
JOURNAL OF NEURAL ENGINEERING
(2022)
Review
Clinical Neurology
Daniel S. Marin-Medina, Paula A. Arenas-Vargas, Juan C. Arias-Botero, Manuela Gomez-Vasquez, Manuel F. Jaramillo-Lopez, Jorge M. Gaspar-Toro
Summary: After a stroke, neural plasticity mechanisms can be activated for significant recovery. Rehabilitation therapies aim to restore tissue and reorganize neural connections. New technologies such as brain-computer interfaces, robot-assisted and virtual reality therapies, brain stimulation, and cell therapies have emerged as promising options for better functional outcomes.
NEUROLOGICAL SCIENCES
(2023)
Article
Engineering, Biomedical
Neha Singh, Megha Saini, Nand Kumar, M. V. Padma Srivastava, Amit Mehndiratta
Summary: The study demonstrates that robotic-exoskeleton training improves motor outcomes and cortical excitability in patients with stroke. Neurophysiological changes in the robotic group are likely a result of plastic reorganization and use-dependent plasticity.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Orthopedics
Rui Li, Shuai Zheng, Yukang Zhang, Hongxia Zhang, Lijuan Du, Linggang Cheng, Hui Li, Wenkai Zhang, Kai Du, Wen He, Wei Zhang
Summary: This study aimed to establish a Bayes discriminant model based on Shear Wave Elastography (SWE) to quantitatively evaluate hand motor function in hemiplegic stroke patients. The model was built by measuring thenar stiffness and validated through various methods. The results showed that the model had diagnostic value and could provide an objective basis for evaluating clinical rehabilitation. Overall, this study is of high importance as it contributes to the development of a standardized quantitative evaluation method for hand motor function in stroke patients.
Rating: 8 out of 10.
BMC MUSCULOSKELETAL DISORDERS
(2023)
Review
Engineering, Biomedical
Paul Dominick E. Baniqued, Emily C. Stanyer, Muhammad Awais, Ali Alazmani, Andrew E. Jackson, Mark A. Mon-Williams, Faisal Mushtaq, Raymond J. Holt
Summary: Hand rehabilitation is crucial for helping stroke survivors regain daily living activities, with recent studies showing the potential of using BCI-robot systems. A systematic examination of literature revealed significant improvements in motor assessment scores for chronic and subacute stroke patients using BCI-hand robots. In conclusion, there is a need for a standardized protocol in assessing technical and clinical outcomes for the development of a solid evidence base on efficiency and efficacy.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Clinical Neurology
Emre Senocak, Elif Korkut, Adem Akturk, Aysel Yildiz Ozer
Summary: This study aimed to investigate the effects of robotic rehabilitation (RR) and conventional rehabilitation (CR) added to intensive trunk rehabilitation (ITR) on upper-limb motor function. The results showed that RR and CR produced similar improvements in upper-limb motor function, suggesting that RR can be used as an alternative to conventional methods under appropriate clinical conditions.
NEUROLOGICAL SCIENCES
(2023)
Review
Rehabilitation
Dario Calafiore, Francesco Negrini, Nicola Tottoli, Francesco Ferraro, Ozden Ozyemisci-Taskiran, Alessandro de Sire
Summary: This study evaluated the efficacy of Robot-assisted gait rehabilitation (RAGT) for gait recovery in subacute stroke survivors, showing its potential role in this field, though further research comparing its effectiveness with conventional physical therapy is still needed in the neurorehabilitation field.
EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE
(2022)
Article
Engineering, Biomedical
Ning Guo, Xiaojun Wang, Dehao Duanmu, Xin Huang, Xiaodong Li, Yunli Fan, Hailan Li, Yongquan Liu, Eric Hiu Kwong Yeung, Michael Kai Tsun To, Jianxiong Gu, Feng Wan, Yong Hu
Summary: This study explored the use of a soft robotic glove controlled by a brain-computer interface (BCI) for post-stroke hand function rehabilitation. The results showed that the BCI-controlled robotic glove, based on steady-state visually evoked potentials (SSVEP), significantly improved hand function after rehabilitation. The efficacy of this new paradigm was comparable to previous studies using motor imagery-based BCI robotic hand rehabilitation.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Adriana Cancrini, Paolo Baitelli, Matteo Lavit Nicora, Matteo Malosio, Alessandra Pedrocchi, Alessandro Scano
Summary: This study investigates the effect of robot assistance on task performance and muscle synergies in healthy individuals. The results show that assistance improves task performance but has limited impact on muscle synergies.
Article
Biochemistry & Molecular Biology
Huixia Geng, Min Li, Jing Tang, Qing Lv, Ruiling Li, Lai Wang
Summary: Ischemic stroke is a leading cause of mortality and disability. Rehabilitation exercise conducted 24 hours after a stroke can significantly improve neurological function, exercise ability, daily living ability, and quality of life. This study provides scientific evidence for the importance of rehabilitation in stroke patients.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Engineering, Biomedical
Zih-Hua Chen, Yun-Lin Yang, Kuang-Wei Lin, Pi-Chang Sun, Chen-Sheng Chen
Summary: This study developed a three-dimensional printed multifunctional hand device (3DP-MFHD) to assist with hand rehabilitation in chronic stroke patients. The results showed that home rehabilitation using the device can increase hand grip force, lateral pinch force, and Action Research Arm Test scores.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)