Academic literature on the topic 'Motor abilities rehabilitation'

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Journal articles on the topic "Motor abilities rehabilitation":

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D’Imperio, Daniela, Zaira Romeo, Lorenza Maistrello, Eugenia Durgoni, Camilla Della Pietà, Michele De Filippo De Grazia, Francesca Meneghello, Andrea Turolla, and Marco Zorzi. "Sensorimotor, Attentional, and Neuroanatomical Predictors of Upper Limb Motor Deficits and Rehabilitation Outcome after Stroke." Neural Plasticity 2021 (April 1, 2021): 1–12. http://dx.doi.org/10.1155/2021/8845685.

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The rehabilitation of motor deficits following stroke relies on both sensorimotor and cognitive abilities, thereby involving large-scale brain networks. However, few studies have investigated the integration between motor and cognitive domains, as well as its neuroanatomical basis. In this retrospective study, upper limb motor responsiveness to technology-based rehabilitation was examined in a sample of 29 stroke patients (18 with right and 11 with left brain damage). Pretreatment sensorimotor and attentional abilities were found to influence motor recovery. Training responsiveness increased as a function of the severity of motor deficits, whereas spared attentional abilities, especially visuospatial attention, supported motor improvements. Neuroanatomical analysis of structural lesions and white matter disconnections showed that the poststroke motor performance was associated with putamen, insula, corticospinal tract, and frontoparietal connectivity. Motor rehabilitation outcome was mainly associated with the superior longitudinal fasciculus and partial involvement of the corpus callosum. The latter findings support the hypothesis that motor recovery engages large-scale brain networks that involve cognitive abilities and provides insight into stroke rehabilitation strategies.
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Reid, Denise. "A Neo-Piagetian Analysis of Infants' Visual-Motor Abilities." Occupational Therapy Journal of Research 9, no. 5 (September 1989): 287–304. http://dx.doi.org/10.1177/153944928900900503.

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Visual-motor abilities in infants were investigated within a neo-Piagetian framework of development. Case's (1985) theory of intellectual development provided the conceptual base for this study. The study's objective was to establish whether development in the motor domain proceeds in a stagelike fashion. This aim was addressed by (a) the development of a model that suggested how the structural changes, as specified by Case's theory, might manifest themselves in the subdomain of the use of an object to execute a simple motor response and (b) the measurement of infants' performances on a set of newly constructed tasks designed to assess the sequence of changes in cognitive operations. Forty children, aged 4 to 18 months, were tested. Subjects were classified by age into one of four groups corresponding to the substages of the sensorimotor stage postulated by the theory. The general hypothesis that children's visual-motor abilities would proceed through four substages was supported. The individual pattern of performance across substages yielded a perfect Guttman scale (Guttman, 1950). Analysis of variance indicated no significant deviation from linearity for any group, no sex effects, and no Sex × Age interactions, as predicted. This study suggests that a cognitive developmental approach can provide a more complete understanding of visual-motor abilities in children, because it can explain recurrent cycles in development and, given an appropriate task analysis, predict the skill level of a child at a given age. The implications for future research are also discussed.
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Beretta, Elena, Ambra Cesareo, Cristina Maghini, Anna C. Turconi, Gianluigi Reni, Sandra Strazzer, and Emilia Biffi. "An Immersive Virtual Reality Platform to Enhance Walking Ability of Children with Acquired Brain Injuries." Methods of Information in Medicine 56, no. 02 (2017): 119–26. http://dx.doi.org/10.3414/me16-02-0020.

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SummaryBackground: Acquired brain injury (ABI) may result in lifelong impairment of physical, cognitive, and psychosocial functions. Several rehabilitative treatments are often needed to support walking recovery, thus participants’ engagement becomes a crucial aspect, especially when patients are children. In the last few years, traditional physiotherapy (PT) has been flanked by innovative technologies for rehabilitation in the fields of robotics and Virtual Reality (VR). Preliminary results have shown interesting perspectives in the use of a VR system, the GRAIL (Gait Real-time Analysis Interactive Lab), in improving walking abilities in a small group of children with ABI, although further insights are needed about its use as rehabilitative tool in the pediatric population.Objectives: To evaluate the efficacy of a rehabilitation treatment on a GRAIL system for the improvement of walking abilities, in a group of children suffering from ABI.Methods: 12 children with ABI (study group – SG; mean age = 12.1 ± 3.8 years old) underwent a 10-session treatment with the GRAIL, an instrumented multi-sensor platform based on immersive VR for gait training and rehabilitation in engaging VR environments. Before (T0) and at the end of the treatment (T1), the participants were assessed by means of functional scales (Gross Motor Function Measure (GMFM), Functional Assessment Questionnaire (FAQ), 6-Minute Walk Test (6minWT) and the 3D-Gait Analysis, over ground (OGA) and on GRAIL (GGA).Results: All the participants completed the rehabilitative treatment. The functional evaluations showed an improvement in Gross Motor abilities (GMFM-88, p = 0.008), especially in standing (GMFM-D, p = 0.007) and walking (GMFM-E, p = 0.005), an increase of the endurance (6minWT, p = 0.002), and enhanced autonomy in daily life activities (FAQ, p = 0.025). OGA identified a significant decrease of the Gillette Gait Index for the impaired side and a general increase of symmetry. GGA showed improvements in spatiotemporal parameters and joints range of motion that moved towards normality and symmetry recovery.Conclusions: A 10-session treatment with GRAIL on children with ABI led to improvements in their walking abilities and enhanced their engagement during the training. This is desirable when long life impairments are faced and children’s motor functions have to be regained and it supports the leading role that VR might have in the rehabilitation field.
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Fasoli, Susan E., Hermano I. Krebs, Mark Ferraro, Neville Hogan, and Bruce T. Volpe. "Does Shorter Rehabilitation Limit Potential Recovery Poststroke?" Neurorehabilitation and Neural Repair 18, no. 2 (June 2004): 88–94. http://dx.doi.org/10.1177/0888439004267434.

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Objective. To examine retrospectively the recovery of patients engaged in robotic research during a 6- to 7-week course of inpatient rehabilitation. Because timing of the Interim evaluation at 31/2 weeks was comparable to the present length of inpatient stroke rehabilitation, the authors assessed whether significant gains in motor abilities occurred after the time when most stroke patients today are discharged home. Methods. Fifty-six inpatients with a single, unilateral stroke were randomly assigned to a robot therapy or robot exposure group. Therapists blinded to group assignment administered the Fugl-Meyer, Motor Status Score, and MRC motor power test. Results. Significant improvements in upper-limb motor abilities occurred throughout a period approximately twice the present length of stay in inpatient rehabilitation. However, in the latter half of this period, patients who received conventional therapy showed little improvement, whereas patients who received robot training plus conventional therapy continued to improve. Conclusion. Further opportunities for recovery after stroke are possible by extending intensive therapy beyond present inpatient rehabilitation stays.
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Corallo, Francesco, Carmela Rifici, and Viviana Lo Buono. "Rehabilitation in atypical neurological disease: a case report." Journal of International Medical Research 50, no. 6 (June 2022): 030006052211020. http://dx.doi.org/10.1177/03000605221102083.

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The rehabilitative management of neurological diseases such as Parkinson's disease (PD) and multiple sclerosis (MS) is complex; drug treatment alone is generally insufficient. Multidisciplinary rehabilitation programs can fundamentally contribute to the management of neurological patients and have important positive repercussions on their quality of life. We describe the unusual case of a 70-year-old man with a diagnosis of both MS and PD, who presented with motor and cognitive impairments. He was admitted to our institute for a rehabilitation program. Motor, cognitive, and linguistic abilities were evaluated at admission and 60 days after the multidisciplinary rehabilitation, which included motor exercises, speech therapy, and cognitive interventions. The multidisciplinary rehabilitation improved the patient’s functional status and exerted positive effects on his mood, autonomy in activities of daily life, perception of quality of life, cognitive performance, and speech skills. It is important to find new methods for treating neurological patients to better manage the social and economic implications of neurological disease, and to ensure a long course of treatment and rehabilitation.
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Young, Susanne Yvette, Martin Kidd, and Soraya Seedat. "Motor Timing Outcome Differences between Patients with Alcohol- and/or Cocaine Use Disorder in a Rehabilitation Program." Timing & Time Perception 7, no. 1 (January 11, 2019): 48–70. http://dx.doi.org/10.1163/22134468-20181137.

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Substance Use Disorders (SUD) lead to brain structural and functional deficits associated with cognitive and social functioning in affected individuals and can impact on treatment outcomes. The lack of behavioural autonomy is underpinned by direct reward, high impulsivity and difficulties in planning behaviour. The motor cortex — as part of a neural mechanism accounting for action and intention — plays a fundamental role in complex cognition, motor performance and coordination. The study sample consisted of 74 abstinent patients, aged 18–60 years, diagnosed with alcohol and/or cocaine dependence who were all inpatients at a private treatment programme for drug/alcohol dependence in South Africa. The main questions addressed were whether motor timing abilities would improve over time (as a function of recovery) in patients admitted to a rehabilitation programme for SUD, and if there were between-group differences. Timing abilities in SUD improved with prolonged abstinence. Timing in decision making (cognitive control) did not improve over time, nor did movement coordination. Rhythmic abilities and synchronisation with external events, as well as spatial abilities, improved with prolonged abstinence. The recovery of rhythmic and synchronisation abilities differed between the groups. This study shows for the first time that motor timing abilities can recover significantly with prolonged abstinence with differences in recovery between SUD populations. Improvements in interval timing only (both in time and in space) were observed. Not all motor timing abilities, and not every type of SUD, recovered equally, thereby suggesting that different substances may affect the brain differently with regard to timing abilities. These findings suggest that motor timing should further be investigated in different clinical settings.
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Chen, Jianan, Yunjia Xia, Xinkai Zhou, Ernesto Vidal Rosas, Alexander Thomas, Rui Loureiro, Robert J. Cooper, Tom Carlson, and Hubin Zhao. "fNIRS-EEG BCIs for Motor Rehabilitation: A Review." Bioengineering 10, no. 12 (December 6, 2023): 1393. http://dx.doi.org/10.3390/bioengineering10121393.

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Motor impairment has a profound impact on a significant number of individuals, leading to a substantial demand for rehabilitation services. Through brain–computer interfaces (BCIs), people with severe motor disabilities could have improved communication with others and control appropriately designed robotic prosthetics, so as to (at least partially) restore their motor abilities. BCI plays a pivotal role in promoting smoother communication and interactions between individuals with motor impairments and others. Moreover, they enable the direct control of assistive devices through brain signals. In particular, their most significant potential lies in the realm of motor rehabilitation, where BCIs can offer real-time feedback to assist users in their training and continuously monitor the brain’s state throughout the entire rehabilitation process. Hybridization of different brain-sensing modalities, especially functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG), has shown great potential in the creation of BCIs for rehabilitating the motor-impaired populations. EEG, as a well-established methodology, can be combined with fNIRS to compensate for the inherent disadvantages and achieve higher temporal and spatial resolution. This paper reviews the recent works in hybrid fNIRS-EEG BCIs for motor rehabilitation, emphasizing the methodologies that utilized motor imagery. An overview of the BCI system and its key components was introduced, followed by an introduction to various devices, strengths and weaknesses of different signal processing techniques, and applications in neuroscience and clinical contexts. The review concludes by discussing the possible challenges and opportunities for future development.
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Bannink, Femke, Johnny R. J. Fontaine, Richard Idro, and Geert Van Hove. "Cognitive Abilities of Pre- and Primary School Children with Spina Bifida in Uganda." International Journal of Educational Psychology 5, no. 3 (October 24, 2016): 249. http://dx.doi.org/10.17583/ijep.2016.2075.

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This study investigates cognitive abilities of pre/primary school children without and with spina bifida in Uganda. Qualitative semi structured interviews and quantitative functioning scales measurements were combined and conducted with 133 parents, 133 children with spina bifida, and 35 siblings. ANCOVA was used to test for differences in cognitive scores between children and siblings. Logistic regression analyses were used to study predictive demographic, impairment specific, and environmental factors of cognitive functioning. Children with spina bifida in Uganda had lower cognitive outcomes compared to their siblings. Cognitive outcomes were predicted by age, household income, motor functioning, and schooling. Better motor functioning was predicted by age, the presence of hydrocephalus, and parental support. Continence management was predicted by parental support and household income. Schooling was predicted by age, household income, and motor functioning. Limited access to neurosurgery and rehabilitative care, and schooling had a negative effect on cognitive functioning. Children of parents who have support had better motor functioning, and continence management. A holistic approach for children with spina bifida and their families, including community based rehabilitation; ensuring social support and livelihoods for parents; and access to health and education services can contribute to better cognitive outcomes.
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Knežević, Dora. "Motor abilities of children with childhood apraxia of speech." Hrvatska revija za rehabilitacijska istraživanja 58, no. 2 (December 22, 2022): 81–91. http://dx.doi.org/10.31299/hrri.58.2.5.

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Previous studies on fine and gross motor skills of children with childhood apraxia of speech (CAS) have reported inconclusive results. In this study, we investigate the motor abilities of children with CAS by focusing on three distinct motor factors: control during movement, fine motor skills/handwriting, and general coordination. Participants included 25 children with CAS and 20 age-matched typically developing (TD) children between the ages of 5 and 7 years. Motor abilities were evaluated using a parent questionnaire - the Croatian version of The Developmental Coordination Disorder Questionnaire (DCDQ-HR). Compared to age-matched TD children, those with CAS showed significantly poorer overall motor ability based on the DCDQ-HR, as well as on all three motor factors: control during movement, fine motor skills/handwriting, and general coordination. Even though their results were worse than TD children, they were still within the range that indicates normal motor abilities. Among the three motor factors considered, children with CAS exhibited significant problems with fine motor skills/handwriting. Children with CAS may not be categorised as children with motor deficits, but they exhibit poor overall motor abilities, especially fine motor skills, compared to TD children. This study supports the premise that co-occurring language impairment is an important variable to consider when discussing motor abilities in CAS.
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Panasenko, Karina E., Ludmila V. Shinkareva, Tatiana A. Altukhova, Elena A. Nikolaeva, and Elena V. Shatalova. "Study and Assessment of Motor Abilities of Older Children of Pre-school Age With Speech Disorders." Iranian Rehabilitation Journal 21, no. 1 (March 1, 2023): 97–106. http://dx.doi.org/10.32598/irj.21.1.1695.1.

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Objectives: The urgency of the given study is in the lack of knowledge of various types of motor abilities of older pre-school children with speech disorders and the need to realize an individually differentiated approach to provide the environment for their development. In the current study, it was tried to identify and assess the level of development of motor abilities in older pre-school children with speech disorders. Methods: The study included 200 older pre-school children, 100 children with a healthy level of speech development, and 100 with a speech disorder in the Belgorod and Belgorod region (Russian Federation). The study looked at scientific sources using motor abilities testing (motor coordination, speed, strength, strength, plasticity, and stamina). Methods of mathematical statistics (student's t-test) using the SPSS software, version 26 were used to calculate the statistic problems. Results: The study and assessment of motor abilities of older pre-school children showed the predominance of an insufficient level of development of motor and coordination abilities in both neurotypical children and those with a language disorder. In both groups, children performed the worse left-hand task (the insufficient level was noted in children with speech disorders in 100% of boys and girls; in the group of children with a healthy level of speech development – in 84.1% of boys and 81.5 % of girls). When performing the right task hand, an insufficient level was noticed in children with speech disorders in 95.5% of boys and 96.4% of girls; in the group of children with a healthy level of speech development–in 77.3% of boys and 74.1% of girls. Diagnosis of other motor abilities states the dominance of the insufficient level only in children with speech disorders: strength abilities (70.5% of boys and 72.3% of girls), speed and strength abilities (68.2 % of boys and 67.9 % of girls), stamina (77.3% of boys and 75% of girls), and plasticity (65.9% of boys and 62.5% of girls). The veracity of the results was confirmed through the student's t-test. The observed differences were statistically significant. Discussion: The obtained findings and assessment of motor abilities confirm developmental lag in older pre-school children with speech disorders. In children, low indicators in the level of development of motor-coordination abilities and stamina prevailed.

Dissertations / Theses on the topic "Motor abilities rehabilitation":

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Meziani, Yeser. "A Kinematic Framework for Upper Extremity Rehabilitation Assessment : Expectation- Maximization as a Motor Learning Model." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0096.

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L'apprentissage moteur en tant que mécanisme de récupération est supposé être un cadre qui a guidé les principes de la thérapie physique et qui, depuis l'avènement de la robotique, fait de même pour les dispositifs de réadaptation. Le processus de réadaptation représente l'intersection de nombreuses facettes interconnectées qui co-interagissent pour produire des mouvements récupérés. L'utilisation de la technologie présente de nombreux avantages tout en contribuant à la complexité du phénomène en question. Nous intéressons notre recherche à l'entraînement passif par exosquelette du membre supérieur. Nous proposons une échelle d'évaluation adaptative intra-patient qui est capable de détecter les changements de performance intra-patient pendant l'entraînement robotique. L'apprentissage moteur, le processus par lequel notre cerveau acquiert de nouvelles capacités motrices ou réapprend celles qu'il a perdues suite à un incident neurologique ou traumatique, est notre entrée pour étudier ce phénomène. L'interaction du système composé de l'appareil, de l'incitation sous forme de jeux sérieux et des patients avec tous leurs niveaux d'existence, physiologiques, psychologiques et cognitifs est le système d'étude. Les composants présentent des qualités hétérogènes et des changements dynamiques. La sortie du système sous la forme de trajectoires exécutées est notre instrument de mesure pour étudier les interactions au sein du système. Nous formulons le modèle de trajectoire comme une chaîne de Markov et utilisons le filtre de Kalman pour estimer les états lissés. Alors que la dynamique varie dans le temps, nous modélisons les hypothèses sur le mouvement dans une formulation dynamique et estimons ses paramètres à partir des données. Pour tenir compte de la variabilité temporelle,nous introduisons une source de bruit parallèle à la dynamique et l'estimons à l'aide d'un algorithme d'espérance-maximisation. La nature temporelle n'étant qu'une seule facette du phénomène cinématique, nous supposons un alignement temporel variable et l'estimons en utilisant l'itération d'espérence-maximisation pour augmenter la vraisemblance du modèle estimé par rapport aux trajectoires observées. Une fois appris, les paramètres dépendants du modèle et extraits sont utilisés pour comparer les différences de performance. Les propriétés des outils d'évaluation clinique sont étudiées et les résultats sont formulés pour répondre aux besoins communément signalés. En partant des mêmes principes fondamentaux de l'apprentissage moteur, nous avons cherché à définir un nouvel instrument d'évaluation visuelle destiné à répondre au besoin d'un formulaire de retour d'information facile à communiquer pour le patient. Nous présentons et évaluons les propriétés cliniques de l'outil tout en fournissant des résultats de validation sur des données cliniques attestant de la sensibilité longitudinale de l'outil. L'hypothèse sous-jacente de la visualisation a ensuite été évaluée à l'aide d'une mesure objective de la valeur de probabilité maximale dérivée d'un modèle probabiliste des trajectoires et appliquée sur un modèle de trajectoire hautement probable appris à l'aide d'un régresseur Kernel K-Nearest Neighbors (KNN)
Motor learning as a recovery mechanism is assumed to be a framework that drived and guided physical therapy and now since the advent of robotics doing the same to the rehabilitation devices. The rehabilitation process presents the intersection of many different interconnected facets that co-interact to produce recovered movements. The use of the technology introduces many benefits while contributing to the complexity of the phenomena at hand. We interest our research to the passive exosquelette training of the upper limb. We propose an adaptive intra patient assessment scale that is capable of detecting intra-patient performance changes during robotic training. Motor learning, the process of our brain's acquiring newer motor skills or relearning those he lost due to neurological or traumatic incident is our portal to investigating this phenomenon. The interaction of the system that is composed of the device, the incentive in form of exercise games and the patients with all its level of existence, physiological, psycho-logical, and cognitive is the system of study. The components present heterogeneous qualities and dynamically driven changes. The system output in the form of the trajectories executed is our gauging instrument to investigate the interactions within the system. We formulate the trajectory model as a Markov Chain and use the Kalman Filter to estimate the smoothed states. While dynamics are variant in time we model the assumptions about the movement into a dynamical formulation and estimate its parameters from data. To account for the time variability we introduce parallel noise source to the dynamics and estimate it using an Expectation-Maximization algorithm. The temporal nature being only a single facet of the kinematic phenomena, we assume a variable temporal alignment and estimate it using Expectation-Maximization iteration to increase the likelyhood of the estimated model compared to the observed trajectories. Once learned the model dependent and extracted parameters are used to compare between differences in performance. The properties of the clinical assessment tools are investigated and results are formulated to answer the commonly reported needs. Stemming from the same fundamentals of motor learning, we aimed to define a new visual assessment instrument that is intended to fulfill the need of patient-first easily communicated feedback form. We present and assess clinical properties of the tools while providing validating results on clinical data attesting the longitudinal sensitivity of the tool. The underlying assumption of the visualization was then assessed using an objective measure of maximum probability value derived using a probabilistic model of the trajectories and expected on a highly likely trajectory model learned using a Kernel-Near-Neighbors Regressor
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Patel, Avani Rajnikant. "Cognitive Rehab Solutions: A computer-assisted cognitive training program." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2321.

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The purpose of this project is to offer a functionally comprehensive application, Cognitive Rehab Solutions (CRS), that is designed for neuropsychologists to deliver restorative cognitive training in areas of attention and memory of persons with brain impairment.

Books on the topic "Motor abilities rehabilitation":

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Vasil'ev, Oleg, Evgeniy Achkasov, and Sergey Levushkin. Damage to the musculoskeletal system from overload in ballet and sports medicine. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1938064.

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The monograph, based on a long-term interdisciplinary study, outlines the features of the diagnosis and rehabilitation of injuries from overload of the lower limb on movement patterns unnatural for normal life, but typical for types of motor activity associated with the art of movement (choreography, classical dance, rhythmic gymnastics, etc.). It is shown that not so much professional requirements, as a lack of constitutional conditioned abilities are the cause of overload damage, the main predictor of which is muscle hypertonicity. The main X-ray morphological types of the structure of hip joints in this contingent of persons are given. The clinical significance of evaluating the performance of basic choreographic elements and the availability of professional abilities for diagnostic purposes is shown. A professionally oriented algorithm for diagnosing overload damage has been proposed, unique clinical-functional and clinical-biomechanical diagnostic methods have been developed. Reference indicators of dosing and assessment of the adequacy of local physical activity on the restored link of the musculoskeletal system are proposed, a mathematical model of their application is developed. Professionally oriented methods and features of using physical activity with a training effect for rehabilitation purposes using sports training tools and natural and geographical factors, as well as features of the use of Chinese Taijiquan gymnastics are described. The algorithm of multilevel rehabilitation based on N.A. Bernstein's theory of motion construction is described. For students, postgraduates and teachers of medical universities. It will be of interest to sports medicine doctors, orthopedic traumatologists, rehabilitologists and other specialists in the field of medical and biological support of choreography and sports.

Book chapters on the topic "Motor abilities rehabilitation":

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Chen, Weiqin, Martin Bang, Daria Krivonos, Hanna Schimek, and Arnau Naval. "An Immersive Virtual Reality Exergame for People with Parkinson’s Disease." In Lecture Notes in Computer Science, 138–45. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58796-3_18.

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AbstractParkinson’s disease is a neurodegenerative disorder that affects primarily motor system. Physical exercise is considered important for people with Parkinson’s disease (PD) to slow down disease progression and maintain abilities and quality of life. However, people with PD often experience barriers to exercises that causes low-level adherence to exercise plans and programs. Virtual Reality (VR) is an innovative and promising technology for motor and cognitive rehabilitation. Immersive VR exergames have potential advantages by allowing for individualized skill practice in a motivating interactive environment without distractions from outside events. This paper presents an immersive virtual reality (VR) exergame aiming at motor training on fingers and hand-and-eye coordination. The results from the usability study indicate that immersive VR exergames have potential to provide motivating and engaging physical exercise for people with PD. Through this research, we hope to contribute to evidence-based design principles for task-specific immersive VR exergames for patients with Parkinson’s Disease.
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Lederman, Eyal. "Motor abilities." In Neuromuscular Rehabilitation in Manual and Physical Therapy, 19–39. Elsevier, 2010. http://dx.doi.org/10.1016/b978-0-443-06969-7.00003-6.

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Lederman, Eyal. "Motor abilities, assessment to challenge." In Neuromuscular Rehabilitation in Manual and Physical Therapy, 129–61. Elsevier, 2010. http://dx.doi.org/10.1016/b978-0-443-06969-7.00012-7.

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Nap, Henk Herman, and Unai Diaz-Orueta. "Rehabilitation Gaming." In Gamification for Human Factors Integration, 122–47. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5071-8.ch008.

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A recent innovation in rehabilitation is the use of serious gaming to train motor, cognitive, and social abilities. The main advantages of rehabilitation gaming are related to the motivation to engage in rehabilitation, the objectivity of rehabilitation measurements, and the personalization of the treatment. This chapter focuses on the use and effectiveness of serious gaming in rehabilitation and illustrates the possibilities and strengths in this new and exciting work field. Furthermore, a review of the literature and examples of rehabilitation games are presented. The state-of-the-art technologies and directions for future research are also discussed. Rehabilitation gaming has great potential for today’s and future health care, and despite the research gaps, there is increasing evidence that gaming can positively contribute to the rehabilitation and recovery process.
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Francisco, Gerard E. "Pharmacologic Management of Spastic Hypertonia." In Rehabilitation for Traumatic Brain Injury, 271–304. Oxford University PressNew York, NY, 2005. http://dx.doi.org/10.1093/oso/9780195173550.003.0014.

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Abstract Spastic hypertonia is a costly complication of traumatic brain injury (TBI) that contributes to the loss of motor abilities. Along with associated impairments, it results in functional limitations, such as inability to use the hand in daily activities and difficulty with transfers and gait. When severe, it may cause pain and lead to contractures and other permanent deformities. Lance (1980) defined spasticity as “motor disorder characterized by a velocity-dependent increase in tonic stretch reflexes with exaggerated tendon jerks, resulting from hyperexcitability of the stretch reflex, as one component of the upper motor neuron syndrome.” While this is the most commonly used definition, it does not accurately describe the entire spectrum of motor disorders observed in clinical practice. Indeed, recent investigations suggest that spastic hypertonia may not be the sole cause of these impairments and functional limitations. (Ada et al., 1998; Gracies, 2001; Gracies et al., 2002; Levin et al., 2000; Sgouros & Seri, 2002) Rather, the abnormalities associated with the upper motor neuron syndrome—dystonia, co contraction of agonists and antagonists, clonus, weakness, incoordination—are also believed to play important, if not predominant, roles.
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Marques, António José Pereira Silva, Helena Maria Martins Caldas, Mariana Castro Barbosa, Luís Miguel Brazão Soares, Maria Inês Dias Ribeiro, and Vítor Simões-Silva. "Gamification in Stroke Rehabilitation." In Advances in Psychology, Mental Health, and Behavioral Studies, 187–99. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8634-1.ch009.

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Stroke rehabilitation aims to improve patients' abilities to realize daily life activities and, consequently, regain their self-confidence and improve independence and quality of life. Gamification can be defined as the application of game-design elements, dynamics, and principles such as competition, narratives, point-scoring, and awards in non-game contexts, including rehabilitation. It has emerged as a therapeutic alternative or complement to traditional rehabilitation to make motor practice more intense and increase a person's motivation, interest, and satisfaction by bringing meaningful and intrinsically motivational playful experiences. Compared to the same amount of conventional therapy, gamification can increase the number of movements and involve safe and intensive rehabilitation exercises, essential for a successful rehabilitation process.
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I. San Martín Valenzuela, Constanza. "Dementia and Physical Therapy." In Dementia in Parkinson's Disease [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98773.

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Cognitive functions allow us to perform complex tasks on a day-to-day basis. When we move or want to perform a functional task, not only the integrity of the motor systems is needed, but also those cognitive functions that help plan and execute movement in challenging environments. Currently, the physical therapy of people with Parkinson’s disease, little by little, integrates the cognitive abilities of patients to the motor rehabilitation of the disease. Most studies to date have proven the effectiveness of this dual-task integration in mild or moderate stages of the disease. However, in more serious stages, we do not fully know the effectiveness of physical rehabilitation in patients who already have dementia or cognitive impairment. This chapter aims to review the latest findings in this regard, to know what are the implications of dementia in Parkinson’s disease on the motor performance, and to unravel the new lines of study that researchers and clinicians should follow in the area of physical rehabilitation in advanced stages of Parkinson’s disease.
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Scano, Alessandro, Marco Caimmi, Andrea Chiavenna, Matteo Malosio, and Lorenzo Molinari Tosatti. "A Kinect-Based Biomechanical Assessment of Neurological Patients' Motor Performances for Domestic Rehabilitation." In Advances in Medical Technologies and Clinical Practice, 252–79. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9740-9.ch013.

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Stroke is one of the main causes of disability in Western countries. Damaged brain areas are not able to provide the fine-tuned muscular control typical of human upper-limbs, resulting in many symptoms that affect consistently patients' daily-life activities. Neurological rehabilitation is a multifactorial process that aims at partially restoring the functional properties of the impaired limbs, taking advantage of neuroplasticity, i.e. the capability of re-aggregating neural networks in order to repair and substitute the damaged neural circuits. Recently, many virtual reality-based, robotic and exoskeleton approaches have been developed to exploit neuroplasticity and help conventional therapies in clinic. The effectiveness of such methods is only partly demonstrated. Patients' performances and clinical courses are assessed via a variety of complex and expensive sensors and time-consuming techniques: motion capture systems, EMG, EEG, MRI, interaction forces with the devices, clinical scales. Evidences show that benefits are proportional to treatment duration and intensity. Clinics can provide intensive assistance just for a limited amount of time. Thus, in order to preserve the benefits and increase them in time, the rehabilitative process should be continued at home. Simplicity, easiness of use, affordability, reliability and capability of storing logs of the rehabilitative sessions are the most important requirements in developing devices to allow and facilitate domestic rehabilitation. Tracking systems are the primary sources of information to assess patients' motor performances. While expensive and sophisticated techniques can investigate neuroplasticity, neural activation (fMRI) and muscle stimulation patterns (EMG), the kinematic assessment is fundamental to provide basic but essential quantitative evaluations as range of motion, motor control quality and measurements of motion abilities. Microsoft Kinect and Kinect One are programmable and affordable tracking sensors enabling the measurement of the positions of human articular centers. They are widely used in rehabilitation, mainly for interacting with virtual environments and videogames, or training motor primitives and single joints. In this paper, the authors propose a novel use of the Kinect and Kinect One sensors in a medical protocol specifically developed to assess the motor control quality of neurologically impaired people. It is based on the evaluation of clinically meaningful synthetic performance indexes, derived from previously developed experiences in upper-limb robotic treatments. The protocol provides evaluations taking into account kinematics (articular clinical angles, velocities, accelerations), dynamics (shoulder torque and shoulder effort index), motor and postural control quantities (normalized jerk of the wrist, coefficient of periodicity, center of mass displacement). The Kinect-based platform performance evaluation was off-line compared with the measurements obtained with a marker-based motion tracking system during the execution of reaching tasks against gravity. Preliminary results based on the Kinect sensor suggest its efficacy in clustering healthy subjects and patients according to their motor performances, despite the less sensibility in respect to the marker-based system used for comparison. A software library to evaluate motor performances has been developed by the authors, implemented in different programming languages and is available for on-line use during training/evaluation sessions (Figure 1). The Kinect sensor coupled with the developed computational library is proposed as an assessment technology during domestic rehabilitation therapies with on-line feedback, enabled by an application featuring tracking, graphical representation and data logging. An experimental campaign is under development on post-stroke patients with the Kinect-One sensor. Preliminary results on patients with different residual functioning and level of impairment indicate the capability of the whole system in discriminating motor performances.
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Scano, Alessandro, Marco Caimmi, Andrea Chiavenna, Matteo Malosio, and Lorenzo Molinari Tosatti. "A Kinect-Based Biomechanical Assessment of Neurological Patients' Motor Performances for Domestic Rehabilitation." In Robotic Systems, 811–37. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch042.

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Abstract:
Stroke is one of the main causes of disability in Western countries. Damaged brain areas are not able to provide the fine-tuned muscular control typical of human upper-limbs, resulting in many symptoms that affect consistently patients' daily-life activities. Neurological rehabilitation is a multifactorial process that aims at partially restoring the functional properties of the impaired limbs, taking advantage of neuroplasticity, i.e. the capability of re-aggregating neural networks in order to repair and substitute the damaged neural circuits. Recently, many virtual reality-based, robotic and exoskeleton approaches have been developed to exploit neuroplasticity and help conventional therapies in clinic. The effectiveness of such methods is only partly demonstrated. Patients' performances and clinical courses are assessed via a variety of complex and expensive sensors and time-consuming techniques: motion capture systems, EMG, EEG, MRI, interaction forces with the devices, clinical scales. Evidences show that benefits are proportional to treatment duration and intensity. Clinics can provide intensive assistance just for a limited amount of time. Thus, in order to preserve the benefits and increase them in time, the rehabilitative process should be continued at home. Simplicity, easiness of use, affordability, reliability and capability of storing logs of the rehabilitative sessions are the most important requirements in developing devices to allow and facilitate domestic rehabilitation. Tracking systems are the primary sources of information to assess patients' motor performances. While expensive and sophisticated techniques can investigate neuroplasticity, neural activation (fMRI) and muscle stimulation patterns (EMG), the kinematic assessment is fundamental to provide basic but essential quantitative evaluations as range of motion, motor control quality and measurements of motion abilities. Microsoft Kinect and Kinect One are programmable and affordable tracking sensors enabling the measurement of the positions of human articular centers. They are widely used in rehabilitation, mainly for interacting with virtual environments and videogames, or training motor primitives and single joints. In this paper, the authors propose a novel use of the Kinect and Kinect One sensors in a medical protocol specifically developed to assess the motor control quality of neurologically impaired people. It is based on the evaluation of clinically meaningful synthetic performance indexes, derived from previously developed experiences in upper-limb robotic treatments. The protocol provides evaluations taking into account kinematics (articular clinical angles, velocities, accelerations), dynamics (shoulder torque and shoulder effort index), motor and postural control quantities (normalized jerk of the wrist, coefficient of periodicity, center of mass displacement). The Kinect-based platform performance evaluation was off-line compared with the measurements obtained with a marker-based motion tracking system during the execution of reaching tasks against gravity. Preliminary results based on the Kinect sensor suggest its efficacy in clustering healthy subjects and patients according to their motor performances, despite the less sensibility in respect to the marker-based system used for comparison. A software library to evaluate motor performances has been developed by the authors, implemented in different programming languages and is available for on-line use during training/evaluation sessions (Figure 1). The Kinect sensor coupled with the developed computational library is proposed as an assessment technology during domestic rehabilitation therapies with on-line feedback, enabled by an application featuring tracking, graphical representation and data logging. An experimental campaign is under development on post-stroke patients with the Kinect-One sensor. Preliminary results on patients with different residual functioning and level of impairment indicate the capability of the whole system in discriminating motor performances.
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Nambiar, Amrutha, Sivakumar Rajagopal, and Shamala Subramaniam. "Detection of Four Class Motor Imagery from EEG Signal for Brain-Computer Interface Applications." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde231028.

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Brain-Computer Interface (BCI) is an interfacing technology used between humans and machines. Initially, research on BCI was confined only to medical applications such as the detection and quantification of brain states like alertness, emotion, and attention. However, in the recent past, it has been extended to incorporate engineering and industrial applications as well. Electroencephalogram (EEG) based Brain-Computer Interfaces became an energized research area within the field of neural engineering, rehabilitation, and neuroscience. EEG-based BCIs especially those using motor-imagery (MI) data became very useful within the clinical field and entertainment industry as well. MI data is created when someone imagines the motion of his/her limb. Motor-imagery BCI is a sub-category of BCI that has the technique to control an external device through imagined motor movements. This essentially means that an external device will relocate itself to the left or right based on the corresponding movement that the user imagines. This has been considered a brand new method of communication not just for people who have lost motor control or speech abilities but also for healthy users as well. Various signal processing techniques are done on the MI-based EEG datasets, focusing mainly on artefact rejection, feature extraction and selection of significant features to enhance the functionality of the proposed BCI. In this paper, the work is confined to assisting people to control the motion of external devices. By implementing an MI-based BCI, people who have lost motor control functionalities will be put at ease. They will be able to control the motion of external devices by simply imagining motor movements.

Conference papers on the topic "Motor abilities rehabilitation":

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Eremushkin, M. A., and E. M. Styazhkina. "Optimization of motor abilities in programs of medical rehabilitation." In ARBAT READING. Знание-М, 2020. http://dx.doi.org/10.38006/907345-21-8.2020.33.40.

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Pacheco, Kevin, Kevin Acuna, Erick Carranza, David Achanccaray, and Javier Andreu-Perez. "Performance predictors of motor imagery brain-computer interface based on spatial abilities for upper limb rehabilitation." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8036998.

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Wei, Liyan, Wenxuan Cheng, Zhengzheng Luo, Mo Kit Yu, Chan Hiu Tung, Zhengtao Ma, Yaqi Zhang, and Stephen Jia Wang. "Designing A Rehabilitation-Purposed No-Direct-Contact Collaborative Robotic System For Stroke Patients." In 5th International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004116.

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Different from the traditional rehabilitation methods, rehabilitation robots can provide repetitive and meaningful tasks that make the rehabilitation process smarter and more efficient during upper extremity rehabilitation for stroke patients. Therefore, rehabilitation robots are often used to assist patients during their rehabilitation training. From a robotic system perspective, it needs to sense the user's various needs to provide real-time assistance and allow the user to trust the robot. This means that the system must be able to monitor and process the user's level of fatigue. The analysis of EMG signals is used as a criterion to determine the level of muscle fatigue. At the same time, the degree of intervention that stroke patients receive during the rehabilitation process is also a challenge(Fang et al. 2017). For instance, the current rehabilitation robots often help the user to complete the rehabilitation training by means of end traction, the robot is attached to the user's arm, pulling the arm to complete the training. This approach could reduce muscle fatigue and increase the efficiency of rehabilitation.Even though direct contact and traction have been proven in studies to help patients perform better in rehabilitation, from a general HSI perspective, the degree of direct traction assistance may reduce the patient's sense of independence which affects their cognitive and motor function. This paper proposes a No-Direct-Contact Collaborative (NDCC) robotic-arm system that assists patients with physical game tasks. The NDCC system means that the robotic arm doesn't directly touch and hold the patient's upper limb as traditional robots would, but rather works in a cooperative way to complete the task, picking up and moving objects together with patients when they need. The purpose of the NDCC system is to avoid excessive interference to the patient during rehabilitation training, which is beneficial to the patient's cognitive and motor function recovery. In recent years, there has been a gradual increase in the use of robotic systems to assist in rehabilitation exercises for stroke patients and different kinds of interaction have been proposed. (Janssen et al. 2017) suggested that “interactive, engaging game-based rehabilitation tools, which match the abilities of the participant, could provide variation and attractiveness, thereby facilitating recovery of residual motor and cognitive function.” For instance, HarmonySHR system provides end-traction assistance at different recovery stages to complete rehabilitation exercises. With game elements embedded in rehabilitation systems, older patients are not only more attached to the training process but also can train their cognitive controls that “allow them to interact with our complex environment in a goal-directed manner (Anguera et al.2013)”. Therefore, the robotic arm is a “guide” rather than a “teammate.” In our research, it has been possible to collect and process the user's EMG signal during the task in real-time and convert it to RMS (Root Mean Square), and use Huskylens sensors to enable the robotic arm to track the position of the user's upper limb in real-time. The proposed study will be verified through two types of experiments, including Expert Participation and User Experience Experiments, giving designers a new direction to think about the degree of interaction and intervention between robots and stroke patients. In future studies, feedback from the user's EMG signal data and Patient's Rehabilitation Questionnaire (Fang et al. 2017) will be collected and analyzed. The physiological state of the upper limb will be determined by examining the EMG signal. The Patient's Rehabilitation Questionnaire will also be given to the user, aiming to assess the user's cognitive status and sense of independence under the two different assistance methods.
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Ptak-Wojciechowska, Agnieszka, Magda Matuszewska, and Agata Gawlak. "Senior-friendly apartments in the context of professional activation of the elderly." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003337.

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Both in Poland and globally we can observe significant demographic changes triggered by the phenomenon called ‘ageing societies’. According to the data of the Central Statistical Office (GUS), in 2020 there were 9.8 million people aged 60+ in Poland and this number is forecast to increase to 13.7 million in 2050. With the longer life span, we can observe that the period of potential professional activity gets extended. We might assume that people will be working longer and retiring later than in the past. In view of economy, the seniors could partially meet the labour force demand which arises due to disproportionate structure of population in different age groups. With the demand for employees in the working age exceeding the supply, seniors are becoming an attractive alternative. Alongside those trends, the image of a senior in social awareness has changed. Professional potential of the seniors due to their abilities and experience has become widely acknowledged. Professional activation with no age barriers poses a chance for the seniors to longer maintain social bonds, which in turn translates into healthier ageing process. This is further reflected in the increase of the quality of life (in the broad meaning of the term) of ageing societies. With the currently changing working methods, we can find more and more ‘distant work’ job offers that are increasing relying on new technologies. This allows the interested parties to render professional services in their places of residence. At the same time, this trend effectively counteracts the adverse phenomenon of cyber exclusion of people in 65+ age group and extends their options of professional activation. The ageing process is inextricably linked with a decline in the efficiency of senses. It is important for the architecture, and the residential space in particular, to adapt to the changed abilities of its inhabitants in order to mitigate the impact of their physical and cognitive deficiencies. It is vital in the process of supporting good health condition and well-being. Because most of the elderly prefer remaining in their previous places of residence (ageing in place), the residential space should be designed in view of a universal and flexible layout that might be rearranged to adequately respond to any potential deficiencies. As per principle, interior design should be adaptable to reduced motor skills of the residents. The interior of an apartment should be envisaged as a place that can be adapted - if needed - to suit those requiring long term healthcare or rehabilitation. A workplace zone or a gym zone facilitating physical exercises might be perceived as a suitable extension of space and functions of an apartment. Moreover, technology can be viewed as a solution effectively supporting safe and unassisted living in one’s own apartment. Technology stands a good chance to support the physical and psychosocial well-being of residents. The article aims to present recommendations for designing senior-friendly apartments to facilitate their fitness and professional activation, thus, maintaining their good health condition, the feeling of comfort, safety and independence. Carefully designed space, sensitive to physical limitations and abilities as well as personal aspirations, will predetermine the quality of life of an individual and will exert impact on the society as a whole. An apartment should be responsive to needs of inhabitants that change as they age; it shall, furthermore, be age friendly and free of any spatial barriers, as well as activating, supporting and at the same time preventing any stigmatisation and social exclusion.

Reports on the topic "Motor abilities rehabilitation":

1

WU, Jingyi, Jiaqi LI, Ananda Sidarta, and Patrick Wai Hang Kwong. Neural mechanisms of bimanual coordination in humans and application of neuromodulation therapy: a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2023. http://dx.doi.org/10.37766/inplasy2023.5.0080.

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Background: Bimanual coordination deficits are one of the most common characteristics of people with stroke, which have an adverse influence on their independence of activities daily living and other occupational activities. Existing studies and reviews mainly focused on how to improve motor impairment of the affected limb and cortical activation and functional connectivity in the impaired brain hemisphere by a series of rehabilitation strategies, e.g., non-invasive brain stimulation and rehabilitation robotics. It should be noted that functional bilateral abilities are not a simple compound and a combination of one-handed skills. Therefore, the bimanual coordination dysfunctions still need to be explored and addressed in clinical practice. Better understandings of the neural mechanisms underlying bilateral cooperative tasks in healthy subjects and changes in neural activities in stroke patients help foster the development of effective rehabilitation strategies, such as TMS and tDCS, and enhance the bimanual coordination through stimulating altered cortical areas, which is essential for boosting the independence and quality of daily life in stroke individuals.

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