Rehabilitation Equipment Research Articles

A chaotic neural network model for biceps muscle based on Rossler stimulation equation and bifurcation diagram

In this paper, a chaotic neural network was presented based on the muscle electromyogram (EMG) signal. Networks and biological processes are complex, and nonlinear systems composed of a large number of interconnected elements. A full understanding of the behavior of these systems leads to an understanding of the behavior of diseases and the use of their rehabilitation equipment. In this study, a chaotic neural network model based on the EMG signal of biceps muscle and bifurcation diagram in resting-state were presented. Thus, the biceps muscle was stimulated at a rest state by a signal emanating from Rossler nonlinear dynamics. Then, by synchronizing it, the EMG signal of the biceps muscle was recorded and entered the phase space. Then, using Poincare section method, the bifurcation diagram and the resulting map were obtained. Chaotic map was then trained to a feed-forward neural network with four hidden layers and presented as a chaotic model of EMG signal of biceps muscle. The results revealed that the proposed model has a high generalizability compared to training chaotic maps. Furthermore, biological signals entered the chaos through the period doubling passage.

Fuzzy-based optimization and linear feedback fluid actuators for soft handheld robots

Because these were elastic & inexpensive, Hydraulic Muscle Activator (HMA) has a lot of promise in portable and responsive rehabilitative equipment. The transducers' changing and continuous response, on the other hand, create modeling and management problems that are hard to grasp. Our study offers a novel portable ankle rehabilitative robotic, that globes only of its type, which is powered with Optimized HMAs (OHMA) run tandem. The goal of this paper is to provide an adaptive regulator that will help OHMA-driven gadgets conquer their problems. To properly anticipate that performance for OHMA, fuzzy feedback regulate operator is developed. To find the best combination input settings for imprecise controllers, a Genetic Algorithm (GA) Based is used. The propoed OHMA-driven gait training robots have been evaluated, and the iteration controllers are effective in tracing the complicated connection between length, velocity, and tension of the OHMA with great precision. Whenever provided several intended trajectories, empirical findings demonstrate that the microcontroller can follow them quite well.

Effects of Paradigm Color and Screen Brightness on Visual Fatigue in Light Environment of Night Based on Eye Tracker and EEG Acquisition Equipment.

Nowadays, more people tend to go to bed late and spend their sleep time with various electronic devices. At the same time, the BCI (brain–computer interface) rehabilitation equipment uses a visual display, thus it is necessary to evaluate the problem of visual fatigue to avoid the impact on the training effect. Therefore, it is very important to understand the impact of using electronic devices in a dark environment at night on human visual fatigue. This paper uses Matlab to write different color paradigm stimulations, uses a 4K display with an adjustable screen brightness to jointly design the experiment, uses eye tracker and g.tec Electroencephalogram (EEG) equipment to collect the signal, and then carries out data processing and analysis, finally obtaining the influence of the combination of different colors and different screen brightness on human visual fatigue in a dark environment. In this study, subjects were asked to evaluate their subjective (Likert scale) perception, and objective signals (pupil diameter, θ + α frequency band data) were collected in a dark environment (<3 lx). The Likert scale showed that a low screen brightness in the dark environment could reduce the visual fatigue of the subjects, and participants preferred blue to red. The pupil data revealed that visual perception sensitivity was more vulnerable to stimulation at a medium and high screen brightness, which is easier to deepen visual fatigue. EEG frequency band data concluded that there was no significant difference between paradigm colors and screen brightness on visual fatigue. On this basis, this paper puts forward a new index—the visual anti-fatigue index, which provides a valuable reference for the optimization of the indoor living environment, the improvement of satisfaction with the use of electronic equipment and BCI rehabilitation equipment, and the protection of human eyes.

A data-driven innovative design method for smart product-service systems to achieve mass personalization in rehabilitation

Smart product-service system (Smart PSS), as an emerging digital paradigm, offers users solution bundles to enhance the digitalization capability of the system by utilizing user-generated data. Massive information can be collected to investigate the dynamic changes of user requirements and assists the developers in designing personalized products and services. Meanwhile, key technologies (i.e. big data analysis and cloud computing) have enabled upgrading the rehabilitation equipment from the traditional physical training device to the personalized smart rehabilitation product-service system. However, few studies focus on gathering and utilizing user-generated physiological data to guide the innovative design of rehabilitation solutions in the Smart PSS environment. To fill this gap, an innovative design method is proposed to guide the Smart PSS development in the personalized rehabilitation field. The presented approach can be divided into three phases: the research phase, the development phase, and the usage phase. A personalized lower limb rehabilitation smart product-service system was described to explain the proposed approach.

Research Advances on Passive Knee Joints Rehabilitation Device

Background: After a smooth development of life expectancy per capita and fertility in the nineteenth century, the global population increased in size. Along with the demographic shift in the late nineteenth century, the phenomenon of population aging began to appear in developed countries. A survey from UN reports that by 2050, one in six people worldwide will be over 65 years old (16%), compared to 11 (9%) in 2019. According to another survey, 55% of people over the age of 60 suffer from joint diseases, and the number of people suffering from stroke, arthritis and other knee diseases will also increase accordingly. Objective: An overview of the classification and characteristics of today's knee rehabilitation devices and future developments. Methods: This review discusses the existing knee rehabilitation devices, including various products on the market, patents and some conceptual devices, in the context of the structural characteristics of the knee joint and the rehabilitation requirements of different knee conditions or after knee arthroplasty, and systematically introduces their structural features, differences and the rehabilitation effects achieved. Results: A comparative analysis of three types of passive knee rehabilitation devices according to their use was conducted to summarize the typical characteristics. The problems that exist in today's rehabilitation devices are also analyzed, and their development trends are looked forward to. Conclusion: Knee rehabilitation equipment has a high degree of structural richness, but it does not achieve a good balance of convenience, comfort and functionality, and there should be some room for improvement in the materials, volume of the power source and transmission form of the power system. There will be a good development in the future of knee joint recovery.

Portable Monitoring Device for Motor Rehabilitation Equipment with Rotor Shaft

A novel and portable device is proposed to monitor motor rehabilitation equipment, which can be mounted on most equipment with rotor shaft. The software of the device, whose main functions include equipment configuration, monitoring and statistical computation, is developed based on available sensor. The data collected by the device serve both department managers to learn the efficiency of the equipment, and physicians and therapists to understand the physical conditions of the patients who perform training exercises with the monitored rehabilitation equipment. About 2000 hours' monitoring has been carried out, and the experimental result indicates that the monitoring device is applicable to many types of motor rehabilitation equipment and achieves good monitoring accuracy. The data aggregated by the device can be used to evaluate the motor functions of the patients and make rehabilitation training plan. Besides, it is agreed by physicians and therapists that the device is easy-to-use, robust and has good real-time performance. The monitoring device thus holds the promise of boosting the development of digitalized rehabilitation medicine.

Current knowledge and practice of post-stroke unilateral spatial neglect rehabilitation: A cross-sectional survey of South African neurorehabilitation physiotherapists.

BackgroundUnilateral spatial neglect (USN) affects the rehabilitation process leading to poor functional outcomes after stroke. South African physiotherapists’ level of uptake of available evidence in USN rehabilitation and the barriers they encounter are not known.ObjectivesTo evaluate knowledge, current practice enablers and barriers to USN management in stroke survivors amongst physiotherapists in South Africa.MethodsOur cross-sectional survey used a total sampling technique. Questionnaires were sent to neurorehabilitation physiotherapists in South Africa. Descriptive and inferential statistics analysed the data.ResultsThe overall knowledge score of USN was 14.11 ± 5.23 of a total of 25. The knowledge was good for definitions of USN; moderate for incidences, causes, screening, diagnosis and prognosis of USN and poor for pharmacological approaches to the management of USN. A significant low positive correlation between respondents’ age (r = 0.46; p = 0.016) and years of practice as a physiotherapist (r = 0.43; p = 0.026) and knowledge of USN was found. The most frequently utilised intervention was constraint-induced movement therapy; the commonly utilised assessment tool was the comb and razor test. ‘Inadequate therapy time’ (55.56%) and ‘lack of relevant equipment for rehabilitation of USN’ (38.89%) were identified as major barriers to USN rehabilitation. Major enablers to USN rehabilitation were the ‘presence of multidisciplinary stroke team in clinical practice’ (83.35%) and ‘availability of adequate staff’ (76.47%).ConclusionPhysiotherapists demonstrated a fair knowledge of USN although knowledge about pharmacological management of USN was modest. Current practice in post-stroke USN by South African neuro-physiotherapists follows current evidence and practice guidelines.Clinical implicationOur study shows the level of knowledge and current practice of post-stroke USN rehabilitation. The demonstrated fair knowledge of USN may be improved through training, curriculum modifications or continuing professional development. Identified barriers to the rehabilitation of post-stroke USN can assist health policy, managers and clinicians to improve stroke-specific care.

A Portable Wearable Inertial System for Rehabilitation Monitoring and Evaluation of Patients With Total Knee Replacement.

Knee osteoarthritis is a degenerative disease, which greatly affects the daily life of patients. Total knee replacement (TKR) is the most common method to treat knee joint disorders and relieve knee pain. Postoperative rehabilitation exercise is the key to restore knee joint function. However, there is a lack of a portable equipment for monitoring knee joint activity and a systematic assessment scheme. We have developed a portable rehabilitation monitoring and evaluation system based on the wearable inertial unit to estimate the knee range of motion (ROM). Ten TKR patients and ten healthy adults are recruited for the experiment, then the system performance is verified by professional rehabilitation equipment Baltimore Therapeutic Equipment (BTE) Primus RS. The average absolute difference between the knee ROM and BTE Primus RS of healthy subjects and patients ranges from 0.16° to 4.94°. In addition, the knee ROM of flexion-extension and gait activity between healthy subjects and patients showed significant differences. The proposed system is reliable and effective in monitoring and evaluating the rehabilitation progress of patients. The system proposed in this work is expected to be used for long-term effective supervision of patients in clinical and dwelling environments.

Energy Costs Impact on Disabled Children’s Rehabilitation Opportunities in Kazakhstan

This article examines the costs for families raising disabled children, who, in world social policy, belong to socially vulnerable groups of the population. The purpose of this article is to assess the impact of energy consumption on the ability of a family to provide rehabilitation for a disabled child in the present and the possibility of his independent life in the future. A sociological survey was administered to respondents in five regions of Kazakhstan, with subsequent processing of the results obtained by statistical methods. The survey was based on a methodological approach in accordance with the identification of four types of restrictions: direct childcare costs; indirect family costs, i.e., losses (household energy consumption aspect); assessment of the opportunity to work; and assessment of the parents’ ability to stay healthy. The PLS–PM model-based structural modeling was carried out. In the model, four types of constraints as dependent variables were accepted. In the course of the model application, three hypotheses regarding energy costs were confirmed. The significance of energy costs in the system of restrictions for families with disabled children was determined. In conclusion, the qualitative characteristics of the relationships allowed identification of the problems in the current support system for families with disabled children in Kazakhstan, which is focused on the partial compensation of direct costs. Energy consumption was determined to be sufficiently important. This results in the misuse of benefits for the rehabilitation of a child because parents, especially from incomplete and low-income families, are forced to choose between paying utility bills and rehabilitating a child. Energy costs also limit the family’s ability to meet the direct costs of the child and long-term savings related to the child’s future. We propose the subsidization of energy utilities for families with disabled children, partially replacing targeted social assistance with vouchers for the purchase of household electrical appliances and rehabilitation equipment with energy-saving characteristics. In further studies, issues regarding the use of tax deductions and tax credits as an alternative support measure, which is currently not used in Kazakhstan, will be investigated.

Research on gait recognition and prediction based on optimized machine learning algorithm

Aiming at the problems of individual differences in the asynchrony process of human lower limbs and random changes in stride during walking, this paper proposes a method for gait recognition and prediction using motion posture signals. The research adopts an optimized gated recurrent unit (GRU) network algorithm based on immune particle swarm optimization (IPSO) to establish a network model that takes human body posture change data as the input, and the posture change data and accuracy of the next stage as the output, to realize the prediction of human body posture changes. This paper first clearly outlines the process of IPSO's optimization of the GRU algorithm. It collects human body posture change data of multiple subjects performing flat-land walking, squatting, and sitting leg flexion and extension movements. Then, through comparative analysis of IPSO optimized recurrent neural network (RNN), long short-term memory (LSTM) network, GRU network classification and prediction, the effectiveness of the built model is verified. The test results show that the optimized algorithm can better predict the changes in human posture. Among them, the root mean square error (RMSE) of flat-land walking and squatting can reach the accuracy of 10 -3, and the RMSE of sitting leg flexion and extension can reach the accuracy of 10 -2. The R 2 value of various actions can reach above 0.966. The above research results show that the optimized algorithm can be applied to realize human gait movement evaluation and gait trend prediction in rehabilitation treatment, as well as in the design of artificial limbs and lower limb rehabilitation equipment, which provide a reference for future research to improve patients' limb function, activity level, and life independence ability.

Программа профилактики отклоняющегося поведения подростков с задержкой психического развития «Красота внутри меня»

&lt;p&gt;One of the tasks of modern education is the creation of psychological and pedagogical conditions for the successful socialization of the child. However, the socialization of children and adolescents with mental retardation is an acute urgent problem, with the entry of children with mental retardation into adolescence, it only gets worse; the development of this category of adolescents in the direction of deviation of behavior is increasing. The goal of prevention of deviant behavior of adolescents with mental retardation, their effective socialization is relevant to the correction of their psycho-emotional state and the development of self-expression and self-knowledge abilities. An effective means of facilitating the &amp;ldquo;entry&amp;rdquo; of adolescents with mental retardation into society is art, the preventive possibilities of which are due to the provision of opportunities for self-expression and self-development, assertion and self-knowledge. One of the modern effective tools for preventive work with adolescents is an innovative and unparalleled technology &amp;mdash; sets of game developing and rehabilitation equipment &amp;ldquo;Mozartika&amp;rdquo; by the author-developer P.E. Russavskaya. The program &amp;ldquo;Beauty is inside me&amp;rdquo; is based on the application of this technology. It is short-term (implemented within one academic year), is designed for 34 academic hours.&lt;/p&gt;

Control for Isokinetic Exercise with External Disturbance

Isokinetic exercise is considered as one of the most effective ways for rehabilitation and muscle strength enhancement. As rehabilitation equipment, the isokinetic exercise device assists isokinetic movement using a single fixed axis and relevant joint adapters, and it requires high stability and safety performances to cooperate with human. In this paper, a brushless DC motor (BLDCM) was adopted to make a study of isokinetic control. Fractional‐order fuzzy PID (FOFPID) controller is an effective controller for the nonlinear system to realize isokinetic control according to reference speed and irregular disturbance (load torque). The model of the BLDCM and FOFPID controller system is built in MATLAB/Simulink to simulate the velocity response of the controller, and a comparison between the FOFPID controller and PID controller is made to verify the system stability.

Профилактика отклоняющегося поведения подростков с задержкой психического развития посредством коррекции их психоэмоционального состояния и развития способностей самовыражения и самопознания

The paper describes and analyzes the methods of socialization of adolescents with mental retardation. Such a retardation is an acute actual problem due to similar features of the psycho-emotional sphere of this category of adolescents, and is exacerbated by the high prevalence of this developmental disorder. The prevention of deviant behavior through the correction of the psycho-emotional state of adolescents and the development of their ability for self-expression and self-knowledge through contact with art is considered. To achieve this goal, within the framework of the program “Beauty is inside me”, a set of game development and rehabilitation equipment “Mozartika” was used by the author-developer P.E. Russavskaya. The experience associated with using the purpose sets of game is also described in the article. In addition, a study of the results of the program implementation is presented. It allows us to conclude what conditions should be created for adolescents to live an emotionally positive experience, how to stimulate positively directed forms of their activity (creativity, independence in solving problems, restraining negative reactions, etc.), and, consequently, how to create conditions for prevention of deviant behavior in adolescents with mental retardation.

Design of Human Adaptive Mechatronics Controller for Upper Limb Motion Intention Prediction

Human Adaptive Mechatronics (HAM) includes human and computer system in a closed loop. Elderly person with disabilities, normally carry out their daily routines with some assistance to move their limbs. With the short fall of human care takers, mechatronics devices are used with the likes of exoskeleton and exosuits to assist them. The rehabilitation and occupational therapy equipments utilize the electromyography (EMG) signals to measure the muscle activity potential. This paper focuses on optimizing the HAM model in prediction of intended motion of upper limb with high accuracy and to increase the response time of the system. Limb characteristics extraction from EMG signal and prediction of optimal controller parameters are modeled. Time and frequency based approach of EMG signal are considered for feature extraction. The models used for estimating motion and muscle parameters from EMG signal for carrying out limb movement predictions are validated. Based on the extracted features, optimal parameters are selected by Modified Lion Optimization (MLO) for controlling the HAM system. Finally, supervised machine learning makes predictions at different points in time for individual sensing using Support Vector Neural Network (SVNN). This model is also evaluated based on optimal parameters of motion estimation and the accuracy level along with different optimization models for various upper limb movements. The proposed model of human adaptive controller predicts the limb movement by 96% accuracy.

Novel knit fabric rehabilitation equipment for finger impairment.

[Purpose] Intensive training can at least partially improve finger movement dysfunction observed after stroke or any neurodegenerative disease. Wearable equipment can significantly improve patients’ quality of life. However, long-term use of conventional training gloves containing metal can injure joints. In this study, we investigated the safety and efficacy of a novel, metal-free, wearable strength-building device. [Participants and Methods] We enrolled 20 healthy participants in whom we measured grip and pinch strength before and while the equipment was worn. Additionally, we investigated the adverse effects and discomfort experienced while participants wore the equipment. [Results] The grip strength was reduced by approximately 20% while participants wore the equipment. We did not observe any serious adverse events. [Conclusion] The knitting equipment described in this study resists movements associated with gripping the hand and acts on all fingers, and may be useful for rehabilitation to improve finger function during routine activities.

平面リンク機構と空気圧ゴム人工筋肉を用いた歩行リハビリ装置の試作および評価

In Japan today, the aging of the population is progressing, and there is a concern that the number of elderly people who will have a trouble walking will increase. Rehabilitation of medical and welfare services are required to solve this problem, but it will be concerned to be difficult to deal with this problem due to a shortage of human resources and an increase in the number of elderly people. Therefore, there is a need to develop a walking rehabilitation device that can be handled by the elderly alone. Authors has been developing walking aids and rehabilitation devices using linkages. These devices do not require a control system or an external power source, and are designed with an emphasis on simplification and cost reduction of the devices. However, if it is designed with only a mechanism, the operation of the device may become unstable, which has been a problem. Therefore, authors aim to improve the stability of the device by newly using a pneumatic rubber artificial muscle as an actuator and assisting the operation of the mechanism. In this research, on the premise that a pneumatic rubber artificial muscle is used as an actuator, authors will develop a device that rehabilitates the interlocking movement of three leg joints with a one degree-of-freedom link mechanism. In this research, Authors will use an actual machine to evaluate whether the characteristics of the artificial muscle, such as flexibility, high output density, and contractile motion, are suitable for walking rehabilitation equipment.

Development of walking rehabilitation device using planar link mechanism and pneumatic rubber artificial muscle

In Japan today, the aging of the population is progressing, and there is a concern that the number of elderly people who will have a trouble walking will increase. Rehabilitation of medical and welfare services are required to solve this problem, but it will be concerned to be difficult to deal with this problem due to a shortage of human resources and an increase in the number of elderly people. Therefore, there is a need to develop a walking rehabilitation device that can be handled by the elderly alone. Authors has been developing walking aids and rehabilitation devices using linkages. These devices do not require a control system or an external power source, and are designed with an emphasis on simplification and cost reduction of the devices. However, if it is designed with only a mechanism, the operation of the device may become unstable, which has been a problem. Therefore, authors aim to improve the stability of the device by newly using a pneumatic rubber artificial muscle as an actuator and assisting the operation of the mechanism. In this research, on the premise that a pneumatic rubber artificial muscle is used as an actuator, authors will develop a device that rehabilitates the interlocking movement of three leg joints with a one degree-of-freedom link mechanism. The aim of this study is to verify whether the characteristics of artificial muscles such as flexibility, high output density, and contractile movement are suitable for walking rehabilitation equipment.

Elements Influencing sEMG-Based Gesture Decoding: Muscle Fatigue, Forearm Angle and Acquisition Time.

The surface Electromyography (sEMG) signal contains information about movement intention generated by the human brain, and it is the most intuitive and common solution to control robots, orthotics, prosthetics and rehabilitation equipment. In recent years, gesture decoding based on sEMG signals has received a lot of research attention. In this paper, the effects of muscle fatigue, forearm angle and acquisition time on the accuracy of gesture decoding were researched. Taking 11 static gestures as samples, four specific muscles (i.e., superficial flexor digitorum (SFD), flexor carpi ulnaris (FCU), extensor carpi radialis longus (ECRL) and finger extensor (FE)) were selected to sample sEMG signals. Root Mean Square (RMS), Waveform Length (WL), Zero Crossing (ZC) and Slope Sign Change (SSC) were chosen as signal eigenvalues; Linear Discriminant Analysis (LDA) and Probabilistic Neural Network (PNN) were used to construct classification models, and finally, the decoding accuracies of the classification models were obtained under different influencing elements. The experimental results showed that the decoding accuracy of the classification model decreased by an average of 7%, 10%, and 13% considering muscle fatigue, forearm angle and acquisition time, respectively. Furthermore, the acquisition time had the biggest impact on decoding accuracy, with a maximum reduction of nearly 20%.

A Novel Active Rehabilitation Model for Stroke Patients Using Electroencephalography Signals and Deep Learning Technology.

The main clinical manifestations of stroke are motor, language, sensory, and mental disorders. After treatment, in addition to being conscious, other symptoms will still remain in varying degrees. This is the sequelae of stroke, including numbness, facial paralysis, central paralysis, and central paralysis. If the sequelae of stroke are not treated effectively, they can easily develop into permanent sequelae. Most of the affected people have sequelae, and most of them have symptoms of upper limb paralysis. Therefore, it is of great significance to study how to carry out effective rehabilitation training for stroke patients to reduce the disease and even restore their motor function. Based on this background, this research aims to use deep learning technology to design a stroke rehabilitation model based on electroencephalography (EEG) signals. First, the patient’s EEG signal will be preprocessed. Then, an improved deep neural network model (IDNN) is used to get the EEG classification results. The traditional DNN model construction process is simple and suitable for scenarios where there is no special requirement for the data format, but the generalization of a single DNN model is usually poor. Large margin support vector machine (LM_SVM) is an extension method of support vector machine (SVM), suitable for any occasion. By optimizing the edge distribution, better generalization performance can be obtained. Taking into account the advantages of DNN and LM_SVM and the high aliasing characteristics of stroke data, an improved DNN model is proposed. Finally, based on the EEG recognition result of the model, the rehabilitation equipment is controlled to assist the patient in rehabilitation treatment. The experimental results verify the superiority of the EEG classification model used, and further prove that this research has good practical value.

Development of the Interactive Rehabilitation Game System for Children with Autism Based on Game Psychology

Autism is a widespread neurodevelopmental disorder. The cause of autism is still unclear. Once it occurs, it will be accompanied for life. Intervention treatment is currently recognized as an effective method. With the rise of somatosensory technology, Kinect has gradually been applied to the field of autism rehabilitation with its natural human-computer interaction and game rehabilitation psychology. Because there is a great demand for autism rehabilitation training resources in China and the existing somatosensory rehabilitation equipment has some shortcomings, this study designed a set of somatosensory rehabilitation system for autistic children based on Kinect and carried out its rehabilitation effect with experimental demonstration. The specific research work mainly includes the following contents: first, aiming at the rehabilitation needs of children with autism, this article combines mainstream intervention treatment methods, using C# programming language and Windows Presentation Foundation (WPF) development technology to develop Kinect-based somatosensory game modules. The somatosensory rehabilitation game involves the training of the language communication, behavioral movement, daily life, sensory integration, and other comprehensive abilities of children with autism, which improves the shortcomings of the previous rehabilitation training in the scope of intervention. A variety of game types and diversified game modes are designed to meet the individual needs of rehabilitation training for children with autism. Second, experiments were carried out to verify the rehabilitation effect of the system. Using the Childhood Autism Rating Scale (CARS) and Pediatric Evaluation of Disability Inventory (PEDI) scale as the rehabilitation effect evaluation tools of this system, the experimental subjects were divided into the experimental group and control group, and different comparative experiments were conducted, respectively. Through the analysis of the scoring data of the CARS, it is found that the comprehensive ability of the experimental group of children receiving somatosensory rehabilitation training is significantly improved. Through the analysis of the scoring data of the PEDI scale, it is found that the children’s language communication, behavioral activities, and daily life abilities of the experimental group have been significantly enhanced. This article focuses on the design of the somatosensory game module of the autistic somatosensory rehabilitation system and the analysis of the system’s rehabilitation effect. It satisfies the training and rehabilitation needs of children with autism and has strong practical significance.