movement function
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2022 ◽  
Vol 12 ◽  
Author(s):  
Yifan Yu ◽  
Yufang Chen ◽  
Teng Lou ◽  
Xia Shen

Introduction: Proprioceptive impairment is a common symptom after stroke. Clarifying how proprioception correlates with motor function after stroke may be helpful in optimizing proprioception-augmented movement training. Previous studies have shown inconsistent findings. A meta-analysis is an optimal method to explore the correlation and identify the factors contributing to these inconsistencies.Objective: To explore the correlation between proprioception and motor function after stroke through a meta-analysis, taking into account characteristics of the measurements used in these studies.Methods: We searched multiple databases until November 2021 for eligible studies that measured both proprioception and motor functions in persons with stroke and reported their correlation or data for correlation analysis. A meta-analysis of the correlations was performed. The subgroup analysis and meta-regression were further conducted to investigate potential factors contributing to the heterogeneity of correlation strength, based on the participants' characteristics, proprioception, and motor function measures.Results: In total, 28 studies comprising of 1,829 participants with stroke were included in the meta-analysis. The overall correlation between proprioception and motor function was significant (r = 0.267, p < 0.05), but there was heterogeneity across studies (I2 = 45%, p < 0.05). The results of the subgroup analysis showed proprioception of the axial segment in weight-bearing conditions (r = 0.443, p < 0.05) and upper limb without weight-bearing (r = 0.292, p < 0.05) had a stronger correlation with motor function than proprioception of the lower limb without weight-bearing. The proprioception measured through ipsilateral matching (r = 0.412, p < 0.05) showed a stronger correlation with motor function than through contralateral matching. The International Classification of Functioning, Disability, and Health (ICF) domains of motor function, movement function (r = 0.338, p < 0.05), activity performance (r = 0.239, p < 0.05), and independence (r = 0.319, p < 0.05) showed a stronger correlation with proprioception than with other domains.Conclusion: There is a significant correlation between proprioception and motor dysfunction after stroke. The proprioception measured in the axial segment under weight-bearing conditions or measured with ipsilateral matching, and motor function, specifically in the ICF domains of movement function, activity performance, and independence showed a positive contribution to the association between proprioception and motor function. The correlation does not imply causation and might be underestimated by attributes of current tests for proprioception and motor function. Further studies are needed to clarify the cause-effect relationship.


2022 ◽  
pp. 97-125
Author(s):  
M. H. Esther Han

The purpose of this chapter is to provide the main indications, background, and procedures when assessing eye movement function in the pediatric patient. The assessment of extraocular motility function includes version and ductions using the H pattern test in order to determine the presence of underaction or overactions of the extraocular muscles (EOM). EOM testing detects abnormalities in the structural and neurological integrity caused by an acquired or congenital disease of the central nervous system. Deficits in eye movement function can also contribute to poor academic performance which requires a developmental approach to the assessment of saccadic and pursuit eye movements to determine if a referral for optometric vision therapy is indicated. For the older child who is reading to learn, an assessment of reading eye movements using objective tests, such as the Visagraph and/or the ReadAlyzer, will guide the direction of the management plan.


Neuroreport ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Deqi Xiong ◽  
Hao Liu ◽  
Rizhao Pang ◽  
Zhiyong Yan ◽  
Nianyi Sun ◽  
...  

2021 ◽  
Vol 73 (10) ◽  
pp. 695-701
Author(s):  
Jittima Panyasarawut ◽  
Wallada Chanruangvanich ◽  
Prangtip Chayaput ◽  
Theerapol Witthiwej

Objective: This research aimed to study the effects of a physical exercise program on physical mobility in cranial surgery patients.Materials and Methods: The researcher used a quasi-experimental method of surveying 58 patients who had cranial surgery at Siriraj Hospital. The research group was divided into two groups: an experimental group (28 patients) participating in a physical exercise program of patients after cranial surgery, and a control group (30 patients) receiving routine nursing care only. The evaluation of the patients’ physical mobility was performed three days after the surgery.Results: Most patients in the research group had an intracranial tumor (86.2%). One day after the surgery, the experimental group had minor pain at the wound site while the control group had moderate pain. Both groups felt discomfort (64.2%) or had muscle stiffness in the neck and shoulder areas (63.3%). Three days after the surgery, at the end of the program, the body movement function of both groups was reduced compared with the preoperative data. However, the experimental group showed better body movement function scores than the control one as the scores of the former were reduced less than those of the latter at p < 0.05.Conclusion: Nurses who provide health care services to patients after cranial surgery should apply the physical exercise program to promote the recovery of the patients’ physical mobility.


2021 ◽  
Vol 15 ◽  
Author(s):  
Lijia Liu ◽  
Joseph L. Cooper ◽  
Dana H. Ballard

Improvements in quantitative measurements of human physical activity are proving extraordinarily useful for studying the underlying musculoskeletal system. Dynamic models of human movement support clinical efforts to analyze, rehabilitate injuries. They are also used in biomechanics to understand and diagnose motor pathologies, find new motor strategies that decrease the risk of injury, and predict potential problems from a particular procedure. In addition, they provide valuable constraints for understanding neural circuits. This paper describes a physics-based movement analysis method for analyzing and simulating bipedal humanoid movements. The model includes the major body segments and joints to report human movements' energetic components. Its 48 degrees of freedom strike a balance between very detailed models that include muscle models and straightforward two-dimensional models. It has sufficient accuracy to analyze and synthesize movements captured in real-time interactive applications, such as psychophysics experiments using virtual reality or human-in-the-loop teleoperation of a simulated robotic system. The dynamic model is fast and robust while still providing results sufficiently accurate to be used to animate a humanoid character. It can also estimate internal joint forces used during a movement to create effort-contingent stimuli and support controlled experiments to measure the dynamics generating human behaviors systematically. The paper describes the innovative features that allow the model to integrate its dynamic equations accurately and illustrates its performance and accuracy with demonstrations. The model has a two-foot stance ability, capable of generating results comparable with an experiment done with subjects, and illustrates the uncontrolled manifold concept. Additionally, the model's facility to capture large energetic databases opens new possibilities for theorizing as to human movement function. The model is freely available.


2021 ◽  
Vol 13 (9) ◽  
pp. 1674-1684
Author(s):  
Yangfan Zhang ◽  
Yuanyuan Luo ◽  
Xinglei Wu ◽  
Liuqiong Yang ◽  
Dandan Cui ◽  
...  

Traditional computed tomography (CT) contrast agents, such as iodine-containing small molecules (omnipaque), have limitations in some applications. The development of nanotechnology has made it possible to develop CT contrast agents based on this technology. In this study, a large number of surface functional groups of the fifth-generation polyamide-amine dendrimer (P5-NH2) were applied to functionally modify polyethylene glycol (PEG), targeting molecules, or drugs, which were used as the carrier of CT contrast agents. With the help of sodium borohydride (NaBH4), there was a rapid reduction. The fluorescein thiocyanate (FT) and PEG modified with lactobionic acid (PEG-LA) weres connected before gold coating to obtain gold nanoparticles coated with targeted dendrimer (Au(P5-LA)DENPs). In the experiment, the gold nanoparticles were characterized, and the liver cancer nude mouse model was established, so as to analyze the CT imaging performance of the material. Besides, the above was applied in the motor function of children with cerebral palsy, and the improvement effect of CT imaging combined with transcranial magnetic stimulation based on the preparation of nanomaterials on the movement function of children was analyzed and demonstrated with the help of graph theory. The results showed that the average particle size of gold nanoparticles was 1.88 nm. Within the range of 5 °C–50 °C and pH = 4–7, the physical properties of the aqueous solution of this material were stable. What’s more, the cell activity still exceeded 80% when the material concentration reached 2000 nm. The nude mouse model of liver cancer indicated that the CT imaging based on this material enhanced the image contrast effect of the tumor part, and the material had no obvious toxic and side effects. CT imaging based on the preparation of nanomaterials can promote transcranial magnetic stimulation to accelerate the efficiency of brain movement, accelerate the global and local information exchange and integration speed of brain network, thereby improving the movement function of children.


2021 ◽  
Vol 13 (16) ◽  
pp. 9362
Author(s):  
Regine Gerike ◽  
Caroline Koszowski ◽  
Bettina Schröter ◽  
Ralph Buehler ◽  
Paul Schepers ◽  
...  

Pedestrian facilities have been regarded in urban street design as “leftover spaces” for years, but, currently, there is a growing interest in walking and improving the quality of street environments. Designing pedestrian facilities presents the challenge of simultaneously accommodating (1) pedestrians who want to move safely and comfortably from point A to B (movement function); as well as (2) users who wish to rest, communicate, shop, eat, and enjoy life in a pleasant environment (place function). The aims of this study are to provide an overview of how the task of designing pedestrian facilities is addressed in international guidance material for urban street design, to compare this with scientific evidence on determinants of pedestrian activities, and to finally develop recommendations for advancing provisions for pedestrians. The results show that urban street design guidance is well advanced in measuring space requirements for known volumes of moving pedestrians, but less in planning pleasant street environments that encourage pedestrian movement and place activities. A stronger linkage to scientific evidence could improve guidance materials and better support urban street designers in their ambition to provide safe, comfortable and attractive street spaces that invite people to walk and to stay.


2021 ◽  
Vol 27 (4) ◽  
pp. 372-376
Author(s):  
Binghong Yan ◽  
Cheng Wang

ABSTRACT Objective: By studying the recognition effect of ultrasonic biological image data analysis on muscle group motion function, the evaluation value and significance of ultrasonic biomedical image combination algorithm on muscle group motion function are discussed. Methods: A Gabor filtering algorithm is proposed to smooth the original image. The MVEF algorithm is used to enhance the ultrasonic image and binary further the image again. Using the principle of the Hove transform, the thickness of the muscle is automatically estimated. Results: The square of correlation coefficients of the manual measurement method, Gabor filtering algorithm and MVEF algorithm are 91.3%, 91.3% and 87.8%, respectively. The difference between the manual measurement and the estimation based on the Gabor filtering algorithm is 1.45 ± 0.48mm. The difference between the results of manual measurement and the MVEF algorithm is 1.38 ± 0.56mm. The computation time of the MVEF algorithm and Gabor algorithm are 5 seconds and 0.3 seconds, respectively. Conclusions: The algorithm proposed in this study can effectively measure the muscle thickness, fast, convenient and accurate, and can reflect the contractility of skeletal muscle well, which is of great value for the recognition and evaluation of muscle group movement function. Level of evidence II; Therapeutic studies - investigation of treatment results.


2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Saeed Kazemi ◽  
Reza Mahdavinejad ◽  
Shahram Lenjani

: Cerebrovascular accident (CVA) refers to any kind of damage caused by direct or indirect damage to the brain and its related elements. It is estimated that about 60% of brain injury victims have a permanent disorder. The consequences of CVA include reduced movement speed, weakness, functional impairment, reduced power, and balance. The purpose of this study was to investigate the effect of a 12-week selected training protocol on motor function following brain injury. In a semi-experimental study, 30 male subjects with a mean and standard deviation of 52.2 ± 5.4 years, weight 173.2 ± 4.2 kg, and height of 78.8 ± 5.3 cm were selected purposefully and accessible with inclusion and exclusion criteria. The participants were randomly divided into experimental (n = 15) and control groups (n = 15). In order to evaluate the physical-motor performance, 10-meter walking tests, get up and go tests, and climbing stairs tests were used. The training program lasted for 12 weeks, three sessions per week, and each session for 30 - 60 minutes. Data were analyzed by independent t-test and dependent t-test using SPSS-21 software at P ≤ 0.05 level. Based on dependent t-test and covariance test, there were significant differences in all three components of motor function (10 m walk time tests, get up and go test, and stair climbing test), there was a significant increase after training in men with CVA (P = 0.00). From the findings of this study, it can be concluded that the special exercises of the present study have a positive effect on motor function parameters of male patients with CVA, so it can be recommended as one of the most important rehabilitation strategies for these patients.


Author(s):  
Lina Gong ◽  
Chunhong Ruan ◽  
Xuan Yang ◽  
Wanli Lin

Background: To explore the effects of predictive nursing intervention among patients with acute stroke. Methods: One hundred and sixty participants were included. They were hospitalized in the Department of Neurology of a third-level first-class hospital in Changsha, Hunan Province, from January to August 2019. They were categorized into control group and intervention group by random number table, with 80 patients in each group. General nursing for patients in Neurology Department was offered to the control group. On the basis of general nursing, predictive nursing intervention was offered to the intervention group. The effectiveness of predictive nursing intervention were evaluated by disparity in neurologic function, movement function, daily life ability and sleep quality before intervention and 2 weeks after intervention. The neurologic function, movement function, daily life ability and sleep quality were evaluated by National Institute of Health acute stroke scale (NIHSS), Fugl-Meyer scale, Barthel indicator, and Pittsburgh sleep quality indicator (PSQI), respectively. Results: There was no significant difference in gender, age, complications and treatment methods between two groups. There was no significant difference in the scores of NIHSS, Fugl-Meyer scale, Barthel indicator, and PSQI before intervention. The scores of NIHSS and PSQI were significantly lower in the intervention group than those in the control group, and the scores of Fugl-Meyer scale and Barthel indicator were significantly higher in the intervention group than those in the control group (P <0.05). Conclusion: Predictive nursing intervention could help improve not only neurologic function, movement function, and daily life ability, but also sleep quality among patients with acute stroke.


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