Article
Chemistry, Physical
Divij Bhatia, Seong Hyeon Jo, Yeonhun Ryu, Yusung Kim, Dong Hyun Kim, Hyung-Soon Park
Summary: Recent rehabilitation methods involving technologies like robotics and gaming software are integrating the use of triboelectric nanogenerator (TENG) as a reliable self-powered sensor for patients. TENG can serve as a game controller and exercise device, storing energy and motivating patients during their rehabilitation process, proving to be a practical tool for patient rehabilitation in healthcare settings.
Article
Neurosciences
Xin Li, Lu Wang, Si Miao, Zan Yue, Zhiming Tang, Liujie Su, Yadan Zheng, Xiangzhen Wu, Shan Wang, Jing Wang, Zulin Dou
Summary: Several studies have shown the positive clinical effect of brain computer interface (BCI) training for stroke rehabilitation. This study investigates the efficacy of SMR-based BCI combined with conventional treatment in post-stroke rehabilitation, and discusses the interaction between training intensity and duration. The results demonstrate that SMR-BCI training, together with conventional therapy, can promote long-lasting improvement in upper limb motor function.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Geriatrics & Gerontology
Jing Ni, Wei Jiang, Xueyang Gong, Yingjie Fan, Hao Qiu, Jiaming Dou, Juan Zhang, Hongxing Wang, Chunguang Li, Min Su
Summary: This study evaluated the effects of different rTMS stimulation programs on upper limb function and brain functional network characteristics of stroke patients. The results showed that rTMS treatment is beneficial for the recovery of upper limb motor function and can improve brain network connectivity and reduce island areas.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Clinical Neurology
Harry T. Jordan, Joia Che, Winston D. Byblow, Cathy M. Stinear
Summary: This study aimed to develop decision trees using a subset of ARAT tasks to accurately categorize upper limb motor outcomes at the late subacute and chronic stages of stroke. The results showed that these decision trees had high accuracy in classifying patients' upper limb outcomes and remained accurate at 6 months poststroke according to ARAT scores.
Article
Engineering, Biomedical
Pei-Cheng Shih, Christopher J. Steele, Dennis Hoepfel, Toni Muffel, Arno Villringer, Bernhard Sehm
Summary: The study investigated how patients with left and right hemispheric stroke are differentially affected in individual-limb control and inter-limb coordination during bilateral movements. Results showed that RHS patients exhibited greater impairment in both individual- and inter-limb control during anti-phase movements, while LHS patients showed greater impairment in individual-limb control during in-phase movements alone. Additionally, LHS patients demonstrated a swap in hand dominance during in-phase movements.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Mathematical & Computational Biology
Liangyu Yang, Tianyu Shi, Jidong Lv, Yan Liu, Yakang Dai, Ling Zou
Summary: In this paper, a unilateral upper-limb fine motor imagination paradigm and a multi-domain feature fusion algorithm were designed to address the limitations of the classical motor imagination paradigm and single-domain feature extraction algorithm in stroke rehabilitation training. Data from 20 healthy individuals were collected and various classification algorithms were used to compare the features extracted from common spatial pattern (CSP), improved multiscale permutation entropy (IMPE), and multi-domain fusion. The results showed significant improvements in classification accuracy using the multi-domain feature extraction algorithm.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Review
Clinical Neurology
Matthew Wingfield, Natalie A. Fini, Amy Brodtmann, Gavin Williams, Leonid Churilov, Kathryn S. Hayward
Summary: The study aimed to examine the effect of upper limb motor intervention elements on biomarkers and clinical measures after stroke using a systems paradigm. The findings showed that interventions with graded difficulty were more frequently used in restitution scenarios, but no difference was identified in quality or amount of therapy between scenarios.
NEUROREHABILITATION AND NEURAL REPAIR
(2022)
Review
Clinical Neurology
Kathryn S. Hayward, Sharon F. Kramer, Emily J. Dalton, Gemma R. Hughes, Amy Brodtmann, Leonid Churilov, Geoffrey Cloud, Dale Corbett, Laura Jolliffe, Tina Kaffenberger, Venesha Rethnam, Vincent Thijs, Nick Ward, Natasha Lannin, Julie Bernhardt
Summary: This systematic review aimed to investigate the timing, dose, and efficacy of upper limb intervention during the first 6 months poststroke. The study found that despite a large and growing body of research, intervention dose and sample size of included studies were often too small to detect clinically important effects. Furthermore, interventions remain focused on subacute stroke recovery with little change in recent decades.
Article
Computer Science, Information Systems
Nuttawat Rungsirisilp, Pakaratee Chaiyawat, Sakaowrat Techataweesub, Aungsunee Meesrisuk, Yodchanan Wongsawat
Summary: The study aimed to compare the effects of combined action observation and motor imagery (AOMI) and motor imagery (MI)-based brain-computer interface (BCI) training on upper limb recovery, cortical excitation, and cognitive task performance in chronic stroke patients. Both AOMI and MI-based BCI training improved upper limb function in chronic stroke patients. However, the AOMI-based BCI group showed significantly greater motor gain, cortical excitation, and cognitive task performance compared to the MI-based BCI group.
Article
Clinical Neurology
Lay Fong Chin, Kathryn S. Hayward, Audrey Lik Ming Chai, Sandra G. Brauer
Summary: The study investigated the impact of a self-directed UL program (SURE) on post-stroke recovery. Results showed that the SURE program has the potential to increase UL use and participants achieved additional hour of UL use daily during the intervention. Further research with larger sample sizes and potentially higher dose is needed to determine efficacy.
NEUROREHABILITATION AND NEURAL REPAIR
(2021)
Article
Rehabilitation
Brian P. Johnson, Kelly P. Westlake
Summary: Individuals with chronic stroke showed poorer fine and gross motor hand dexterity in their ipsilesional hand compared to controls and normative values, but performed significantly better than their contralesional hand. These findings suggest residual deficits in hand manipulation abilities post-stroke.
AMERICAN JOURNAL OF PHYSICAL MEDICINE & REHABILITATION
(2021)
Article
Engineering, Biomedical
Kuan Cha, Jinying Wang, Yan Li, Longbin Shen, Zhuoming Chen, Jinyi Long
Summary: A novel virtual reality rehabilitation system (VRRS) was developed for upper-limb rehabilitation, which can track the motion of both upper limbs and integrate fine finger motion and the range of motion of the entire arm. The VRRS improved the user experience and effectively enhanced the effects of upper limb rehabilitation in stroke patients.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
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
Engineering, Biomedical
Jingfeng Bi, Ming Chu
Summary: The goal of this study is to design a single-limb, multi-category motor imagery paradigm and achieve cross-subject intention recognition through the transfer data learning network (TDLNet). The network processes cross-subject EEG signals and assigns weights to signal channels using the Residual Attention Mechanism Module (RAMM), resulting in the best classification results.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Engineering, Biomedical
Jiansheng Niu, Ning Jiang
Summary: This study analyzed the detection and classification of upper-limb movement volitions in a pseudo-online fashion. The results showed that the ensemble model achieved good performance in both detection and classification tasks, providing a promising design for movement decoding in brain-computer interfaces.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Neurosciences
Roy Reints, Juha M. Hijmans, Johannes G. M. Burgerhof, Klaas Postema, Gijsbertus J. Verkerke
Article
Neurosciences
I. L. B. Oude Lansink, L. van Kouwenhove, P. U. Dijkstra, K. Postema, J. M. Hijmans
Review
Rehabilitation
Leonie A. Krops, Trijntje Albada, Lucas H. V. van der Woude, Juha M. Hijmans, Rienk Dekker
JOURNAL OF REHABILITATION MEDICINE
(2017)
Article
Orthopedics
Dymphy van der Wilk, Juha Markus Hijmans, Klaas Postema, Gijsbertus Jacob Verkerke
PROSTHETICS AND ORTHOTICS INTERNATIONAL
(2018)
Article
Engineering, Biomedical
Dymphy van der Wilk, Roy Reints, Klaas Postema, Tom Gort, Jaap Harlaar, Juha Markus Hijmans, Gijsbertus Jacob Verkerke
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2018)
Article
Multidisciplinary Sciences
Rienk Dekker, Yoanna V. Hristova, Juha M. Hijmans, Jan H. B. Geertzen
Review
Orthopedics
Jutamanee Poonsiri, Rienk Dekker, Pieter U. Dijkstra, Juha M. Hijmans, Jan H. B. Geertzen
BMC MUSCULOSKELETAL DISORDERS
(2018)
Review
Neurosciences
Seyed Hamed Mousavi, Juha M. Hijmans, Reza Rajabi, Ron Diercks, Johannes Zwerver, Henk van der Worp
Article
Multidisciplinary Sciences
Jutamanee Poonsiri, Rienk Dekker, Pieter U. Dijkstra, Yasmin Nutchamlong, Chanapak Dismanopnarong, Chiraphan Puttipaisan, Samai Suakonburi, Pensupa Pimchan, Juha M. Hijmans, Jan H. B. Geertzen
Article
Neurosciences
A. M. Jeschke, L. E de Groot, L. H. van der Woude, I. L. B. Oude Lansink, L. van Kouwenhove, J. M. Hijmans
HUMAN MOVEMENT SCIENCE
(2019)
Review
Rehabilitation
Dorianne Schuitema, Christian Greve, Klaas Postema, Rienk Dekker, Juha M. Hijmans
JOURNAL OF SPORT REHABILITATION
(2020)
Letter
Rehabilitation
Jutamanee Poonsiri, Pieter U. Dijkstra, Rienk Dekker, Juha M. Hijmans, Jan H. B. Geertzen
DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY
(2019)
Article
Rehabilitation
Liezel Ennion, Juha Hijmans
SOUTH AFRICAN JOURNAL OF PHYSIOTHERAPY
(2019)
Article
Rehabilitation
Thijs Lutjeboer, Jaap J. Van Netten, Klaas Postema, Juha M. Hijmans
JOURNAL OF REHABILITATION MEDICINE
(2018)
Article
Engineering, Multidisciplinary
Evert S. van Hal, Juha M. Hijmans, Klaas Postema, Egbert Otten
COGENT ENGINEERING
(2018)