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Rapid development is undergoing in the field of rehabilitation robots, and more countries (regions) are participating in international cooperation and becoming academic contributors. Here in this study, the bibliometric method is used to determine the dynamics and developments of international cooperation in China. The publication data are indexed in Web of Science with search term of rehabilitation robot from 2000 to 2019. Compared with other countries (regions), publication with international co-authors and institutes participating in international cooperation are studied by assessment of indicators such as the cooperation degree, cooperation frequency, and the frequency of citations. The results show that in the past two decades, international scientific cooperation has shown a positive tendency in China, and participating in international collaboration could improve China's impact on the global rehabilitation robot. The United States, England and Japan are the top three countries in number of cooperation with China. Our findings provide valuable information for researchers to better understand China's international scientific collaboration in rehabilitation robot.
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Bibliometrics , China , International Cooperation , Medicine , Time Factors , United StatesABSTRACT
Objective To explore the clinical effect of training assisted by a lower limb rehabilitation robot on the bladder and intestinal function of paraplegic spinal cord injury survivors. Methods Thirty-eight paraplegic patients with spinal cord injury were divided according to their admission order into an experimental group ( n=19) and a control group (n=19). Both groups were given conventional rehabilitation training, while the experimental group was additionally provided with robot-assisted lower limb training in three stages:adaptation, training and con-solidation. It lasted 30 minutes daily, 5 days per week for 12 weeks. Before and after the training, an urodynamics examination system was used to evaluate the maximum urine flow, bladder capacity, residual urine volume, bladder pressure and detrusor pressure. Colon transit time, mean rectal pressure and intestinal function were measured using the colon transit test, a mean rectal pressure test, and the Functional Independence Measure ( FIM) scale respective-ly. Results The average bladder volume, maximum urine flow rate, average urine flow rate, detrusor pressure, bladder compliance, average rectal pressure and intestinal FIM score of the robot training group after training were all significantly better than before the training, as were the average residual urine volume and colon transit time. After the training, the average bladder volume, maximum urine flow rate, average urine flow rate, detrusor pressure, bladder compliance and average rectal pressure of the robot training group were all significantly higher than those of the control group, while the average residual urine volume and colon transit time were significantly smaller. Then, 32％ of the patients in the experimental group achieved no less than 6 points for their average FIM score, significantly higher than in the control group. Conclusion Robot-assisted lower limb training combined with comprehensive rehabilitation training can effectively improve the bladder and intestinal function of paraplegic patients after a spinal cord injury.
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Objective:To propose a motor imagery paradigm with regular rhythm to improve the accuracy of classification in brain-computer interface based on motor imagery. Methods:Ten untrained healthy subjects were asked to image the movement guided by the picture accompanied with regular rhythm. The common spatial pattern feature extraction algorithm and Fisher classifier were used for classification, and compared with the traditional paradigm and the motor imagery paradigm accompanying with irregular rhythm. Results:More desynchronization was found as motor imagery with regular rhythm, while the classification accuracy improved. Conclusion:Motor imagery with regular rhythm gives a new idea for active rehabilitation training based on brain-computer interface.
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Objective:To propose a motor imagery paradigm with regular rhythm to improve the accuracy of classification in brain-computer interface based on motor imagery. Methods:Ten untrained healthy subjects were asked to image the movement guided by the picture accompanied with regular rhythm. The common spatial pattern feature extraction algorithm and Fisher classifier were used for classification, and compared with the traditional paradigm and the motor imagery paradigm accompanying with irregular rhythm. Results:More desynchronization was found as motor imagery with regular rhythm, while the classification accuracy improved. Conclusion:Motor imagery with regular rhythm gives a new idea for active rehabilitation training based on brain-computer interface.
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Robot rehabilitation has been a primary therapy method for the urgent rehabilitation demands of paralyzed patients after a stroke. The parameters in rehabilitation training such as the range of the training, which should be adjustable according to each participant's functional ability, are the key factors influencing the effectiveness of rehabilitation therapy. Therapists design rehabilitation projects based on the semiquantitative functional assessment scales and their experience. But these therapies based on therapists' experience cannot be implemented in robot rehabilitation therapy. This paper modeled the global human-robot by Simulink in order to analyze the relationship between the parameters in robot rehabilitation therapy and the patients' movement functional abilities. We compared the shoulder and elbow angles calculated by simulation with the angles recorded by motion capture system while the healthy subjects completed the simulated action. Results showed there was a remarkable correlation between the simulation data and the experiment data, which verified the validity of the human-robot global Simulink model. Besides, the relationship between the circle radius in the drawing tasks in robot rehabilitation training and the active movement degrees of shoulder as well as elbow was also matched by a linear, which also had a remarkable fitting coefficient. The matched linear can be a quantitative reference for the robot rehabilitation training parameters.
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Objective To observe the effects of a rehabilitation robot and body weight supported treadmill training (BWSTT) on the walking ability of hemiplegic patients after stroke.Methods Sixty hemiplegic patients were divided randomly into treatment and control groups (n=30 in each).The treatment group received training assisted by a leg rehabilitation robot for 10-20 min once daily,6 days per week for 8 weeks in addition to conventional treatments and BWSTT.The control group was only given conventional treatments and BWSTT once daily for 8 weeks.Their lower extremity functions,balance and walking ability were assessed with a simplified Fugl-Meyer assessment (FMA) and using the Berg balance scale (BBS) and Functional Ambulation Categories (FACs).Results After training,both groups showed significant improvements in terms of FMA,BBS and FAC results.The treatment group showed significantly better improvements in lower extremity function,balance and walking ability compared with the control group.Conclusions The lower-limb rehabilitation robot and BWSTT could together improve balance and walking ability.
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@#The advance of the modern science and technology provides some new approaches,such as brain-computer interface(BCI),neuroprothesis,rehabilitation robots,body-weight supported treadmill training(BWST),etc.In practice,the advantages and disadvantages of those approaches manifest more and more,and the combination of them is the trend.It is necessary to choose proper method individually.