Papers by Keyword: Stroke

Abstract: Stroke is the second factor of mortality in the world. According to the World Health Organization (WHO), stroke is an acute brain dysfunction. The effects of stroke are disability and mortality. Therefore, this is a concern for world health. In early 2019, the Pandemic Covid-19 attacked the world and caused many mortalities. Especially, people who have complications with diseases such as heart attack, stroke, and asthma. The purpose of this research is to predict stroke diseases with input parameters (age, glucose level, heart rate, and BMI) and to test the accuracy of the system. Moreover, analysis of the management of stroke patients’ strategy. ANFIS is a combination of ANN and FIS. It can construct a network realization of IF/THEN rules. This method was used by many researchers to predict and test the accuracy of the system. According to the result, the error of this system is 0.04 and the accuracy is 94%. Thus, it was good for predicting stroke diseases. According to the severity of the stroke, there are stroke management strategies that can be conducted by the patients; self-management and medical management. For self-management, problem-solving, goal setting, decision-making, and coping skills can help recovery. On the other way, there are five categories for medical management; stroke acute care, reperfusion, rehabilitation, cognitive decline, and neuroprotection and repair.Your manuscript will be reduced by approximately 20% by the publisher. Please keep this in mind when designing your figures and tables, etc.

Abstract: The neurological rehabilitation focuses on enhancing functional recovery and improving the quality of life for people who have experienced injuries or diseases affecting the central or peripheral nervous system. This functional recovery includes a follow up of the kinematics of the patients limbs. The use of a open source software such as OpenSim, has been previously proposed as a tool for kinematic analysis, this software allows for highly specialized 3D musculoskeletal modeling, facilitates kinematic analysis and the assessment of force and angles in the lower and upper limbs of the human body. In this context, the propose of this research was to test the reliability of OpenSim for kinematic analysis during neurological rehabilitation. For this goal, the Motricity Index test was done by a group of three healthy participants, this values were used for comparison to the stroke patient who is currently undergoing neurological rehabilitation process. The results demonstrates all the limitations in the range of motion of the patient in comparison to the healthy group due his motor issues, such as muscle spasticity and weakness. This research shows the advantages and limitations of this software and its application in neurological rehabilitation. The goal is to contribute to the development of effective and personalized therapeutic strategies to improve the recovery process for these patients.

Abstract: Annually, 15 million people worldwide suffer a stroke. Establishing the disability status after stroke is the key for the Physical and Rehabilitation Medicine point of view. 90% of those who have suffered a stroke show multiple impairments. The post stroke walking pattern has a major impact on the patient’s activity and participation capacity and to regain a functional gait is one of the most important goals of the rehabilitation intervention. The instrumented gait analysis is the key for accurately assessing the efficiency of a gait rehabilitation program and may be an important tool for designing personalized training. The aim of this study is to evaluate the effect of a complex rehabilitation program on the walking pattern in patients with after stroke hemiparesis.

Abstract: The design of lower limb rehabilitation robot can be categorized into two approaches: the end-effector and the exoskeleton. Both types of the robots have different advantages and disadvantages. The exoskeleton type is designed to mimic the kinematic structure of the human skeleton by controlling hip and knee joints but the end-effector type is driven at the footplate which allows patients to perform various gait training exercise. In this paper, the end-effector and exoskeleton device are compared based on dynamical analysis using Matlab's Simechanics simulation. The hybrid lower limb rehabilitation robot is also proposed based on the exoskeleton robot with the adjustable mechanical coupling interface between human and robot and the active footplate. The hybrid design combines the advantages of both the exoskeleton and the end-effector by allowing the mechanical coupling parameters and the active footplate controller to be adjustable at different stages of training. The proposed design can improve both joints misalignment and joint trajectory tracking problems in both existing approaches.

Abstract: This paper focuses on a intelligent performance testing system for lithium battery casting. The testing system can automatically cast the lithium battery in order to change its performances when it drops to the ground and suffers a major collision, at the same time, the testing system can test the changing performances. What is more, the paper gives the design project of the automatic casting mechanism and its optimizing method, improving PID controller, and parameters experiment method. The experimental results show that the testing system can successfully and accurately cast the lithium, it meets the technology requirements, furthermore, it can obtain the accurate testing datas

Abstract: For the circuit breaker, mechanical fault make up the largest share of the fault. In order to ensure reliable and secure power system can run,it is necessary to monitor the mechanical properties of the circuit breaker,which includes monitoring the breaker trip.By TLD video tracking technology ZN65-12 vacuum circuit breaker mechanical properties were measured,obtain a two-dimensional direction of travel, speed characteristic curves.The experimental results show that the error of the method used to obtain a circuit breaker stroke, speed and other parameters of not more than 1mm,compared with traditional methods of measurement can get richer information.

Abstract: Data collection is the first step in handwritten character recognition systems, and the data quality collected effects the whole systems efficiency. As the necessary subsystem of on-line handwritten character/word recognition system, a Uyghur handwritten character collection system is designed and implemented with Visual C++ based on the nature of Uyghur handwriting. Uyghur handwritings is encoded by 8 direction tendency and stored in extension stroke file. And they are collected based on the content of Text Prompt File. From experimental results, it can be concluded that the handwriting collection system indicates its strong validity and efficiency during the collection of Uyghur handwriting.

Abstract: A kind of Linux-based embedded stroke rehabilitation system is studied by aiming at the problems concerning the motor functions of patients with stroke. A new rehabilitation platform is provided by combining the cognitive relearning therapy, myoelectrical visual feedback and sEMG-triggered-NMES therapy. The system is stable and simple in operation. According to the clinical test, the system is efficient for the rehabilitation of motor function of patients with stroke.

Abstract: Four-Legged walking robot is mechanically modeled by copying mammals, which have 13 links and 12 joints. But mechanical models are more on technical rather than on biological concepts, which yield unstable locomotion with low speed. Advanced biological locomotive phenomena and their structural characteristics are applied to the mechanical model and simulated for the one cycle. Torques at joints are calculated and finally converted to total consumed energy. Variables, specifying structure and locomotion, are applied to the simulation as a time function, and the optimal variables which minimize energy expenditure are derived which can be directly applied to the Quadruped locomotion.

Abstract: . In the paper, The patient informations are analyzed in detail. The patients are divided into children, youths, middle-aged and old people. The incidence of the patients is obtained for statistical description. According to the incidence of stroke patient information and environmental factors, The law of the correlation between the incidence of stroke and environmental factors is mastered by means of statistical data analysis. And the reasons are analyzed.