37results about How to "Improve training motivation" patented technology

The invention relates to a three-stage brain-controlled upper limb rehabilitation method combining steady-state visual evoked potential and mental imagery (MI). The method comprises the following steps: (1) the first stage of VR video guidance training: a patient is made to be familiar with upper limb rehabilitation movements through VR video guidance; (2) the second stage of VR-SSVEP training: the patient needs to concentrate to observe pictures that represent different upper limb movements and flicker with a specific frequency, EEG signals of the patient are collected in real-time to analyzeintentions of the patient, and visual feedback is provided to the patient through VR animation to make the patient learn to concentrate; and (3) the third stage of VR-MI training: EEG signals of theleft and right upper limbs of the patient during MI are collected during off-line training, and a mental imagery intention recognition model is established. The EEG signals of mental imagery of the patient are analyzed according to the model during online training, movement intentions of the patient are recognized, and movements of a 3D character in an interface are controlled in real time, so that brain central nerve remodeling is facilitated through MI. The method exhibits a good immersion property, enables active rehabilitation to be realized, enables rehabilitation to proceed step by step,and is a new method for upper limb rehabilitation of a cerebral stoke patient.

The invention relates to a VR-based audio-video-touch sense multi-mode hand function rehabilitation training method. The employed system is composed of a user and electroencephalogram signal acquisition and processing system and a virtual reality multi-mode feedback training system. The user and electroencephalogram signal acquisition and processing system collects a brain wave signal of a user inreal time, carries out filter preprocessing on the signal, carries out feature extraction by using a common space mode algorithm, analyzes whether the user has a motion imagination intention, and transmits a classification result to the virtual reality multi-mode feedback training system by TCP / IP communication. The virtual reality multi-mode feedback training system is used for designing a VR training scene and realizing audio-video-touch sense multi-mode feedback. Besides, during the training, background music can be selected; and with an electric stimulator, a touch feeling is formed and thus audio-video-touch sense multi-mode feedback is realized.

The invention relates to a movement imagery brain-computer interface-based hand function rehabilitation method. The method comprises the following steps of (1) performing offline training: performing the offline training on a patient, and after the training is finished, building a first-time identification model by an acquired electroencephalogram signal during a left and right hand movement imagery period of the patient; (2) performing update training: performing the update training on the patient, analyzing the electroencephalogram signal during the left and right hand movement imagery period of the patient according to the first-time identification model, presenting a hand action video, feeding back the hand action video to the patient, generating an electroencephalogram signal easier to identify, and after the training is finished, building an update identification model by the acquired electroencephalogram signal; and (3) performing virtual reality online training: performing left and right hand movement imagery of the patient, analyzing the electroencephalogram signal of the patient according to the update identification model, and controlling a left and right hand movement of a 3D character in real time. The method has the characteristics of high safety, manpower saving, interestingness and multiple levels. The method can serve as a hand function rehabilitation method for cerebral stroke patients, is simple in operation, and lays a foundation for family-mode training.

The present invention discloses an intelligent transfer and walking aid robot. The intelligent transfer and walking aid robot comprises a vertical column cover shell, a lower side of the vertical column cover shell is provided with a ground differential moving platform for driving a whole device to move, the vertical column cover shell is internally provided with a sit and stand transfer mechanismwhich simulates sit and stand motions of human body, the sit and stand transfer mechanism is provided with a pelvic support mechanism connected with the human body and detecting human body motion intention, and the pelvic support mechanism, sit and stand transfer mechanism and ground differential moving platform are all controlled by a controller. At the same time, the present invention disclosesa motion intention recognition method of the intelligent transfer and walking aid robot. The intelligent transfer and walking aid robot is small, exquisite and convenient in a whole, and convenient for use of home environment, the pelvic support mechanism realizes human body motion requirements and provides a basis for balance training and gait training, and besides, the motion intention recognition method controls the entire device according to intention of patients to conduct motions the patients to conduct, enables the device to assist the patients to conduct motion and exercise, and improves training effects.

The invention provides a virtual-reality music training system which comprises a virtual-reality lens, a controller, a manual keyboard and a foot turning tray. The virtual-reality glasses, the manual keyboard and the foot turning tray are in signal connection with the controller; the virtual-reality glasses comprise a glass support, a virtual-reality display, a virtual-reality processor, a music player and headsets; the virtual-reality display is fixedly installed on glass frames of the glass support and is in signal connection with the virtual-reality processor, the virtual-reality processor is fixed on the glass support and is in signal connection with the controller, the music player is fixed on the glass support and is in signal connection with the virtual-reality processor, and the headsets are fixed at positions of hangers of the glass support and are in signal connection with the music player. By the arrangement, coordination training of hand-foot key-press input is realized by cooperation with virtual-reality scenes and music, instrument structure is simplified, and meanwhile, training initiative of trainers is improved.

The invention discloses an upper limb rehabilitation training method based on virtual driving experience. The method comprises the steps of 1 user account login, wherein a login button is clicked, a login request is submitted, correctness of a user password is inspected, login is allowed if the user password is correct, and login is conducted again if the user password is not correct; 2 training mechanism data collection, wherein a PC collects data of a lower computer through a USB in real time; 3 driving task execution, wherein a training mode and a training difficulty level are selected, the direction and the speed of a virtual vehicle or ship or plane are updated according to data sent by the lower computer, and a training task is completed; 4 training scoring, wherein comprehensive scoring is conducted through a virtual reality game, and meanwhile a training effect is achieved; 5 history training data query, wherein a query button is clicked to call database data, and the data is displayed. According to the method, motion of an upper limb rehabilitation training mechanism is combined with a virtual environment, sensory stimuli such as music, pictures and language notes are added into the upper limb virtual reality rehabilitation training process, and therefore the training positivity and the training effect of a patient can be improved more effectively.

The invention discloses an sEMG-based single joint active training control method applied to a rehabilitation robot with an sEMG collection system. The method includes utilizing an sEMG collection system to collect sEMG signals of a patient, and allowing the rehabilitation robot to convert the sEMG signals into single joint active training control signals to control the single joint active training of the patient. The method contains two strategies, namely a damping type active training strategy and a spring type active training strategy. The damping type active training adopts the sEMG to control the joint moving speed, and the spring type active training adopts the sEMG to control the joint angle displacement. The the rehabilitation robot is simple and flexible and is capable of monitoring the active motion intention of a tester, two types of lower limb rehabilitation active training are provided, the training activeness of the patient can be improved, and the rehabilitating efficiency can be improved.

The invention belongs to the technical field of human body dynamic and static balance training methodology and human body balance functional assessment and relates to a bimodal visual feedback dynamicand static balance training device. The device comprises a supporting base component, universal castors are mounted at four lower corners of the supporting base component, a dynamic and static motionplatform is arranged above the supporting base component, and a standing support frame with a damping adjustable function is arranged at the front end of the supporting base component. According to balance rehabilitation training demands and ergonomic characteristics, the damping adjustable standing support frame is designed, and a compact-structure high-safety motion platform is designed. In addition, dynamic and static standing balance training under each mode can be realized, and standing balance posture stability training demands of patient crowds at each stage can be met.

The invention relates to an upper limb joint functional evaluation rehabilitation training system and an evaluation method. The system comprises a training host and a matched upper limb joint trainingdevice; the training hoist comprises a training machine head and a control system which are installed on a machine body; the training machine head comprises a machine shell, and a motor, an encoder,a coupler, a torque sensor, a drive wheel, a driven wheel, a driven shaft, an angle sensor and a quick union output shaft are arranged inside the machine shell; the motor, the encoder, the coupler, the torque sensor and the angle sensor are all electrically connected with a control system. The system is mainly applied to patient suffering upper limb dysfunction caused by cerebrovascular disease, severe external injury or other nervous system diseases and patients needing to recover upper limb functions after operations, and has functions of motivating muscle remaining power and recovering joint coordinate ability and joint flexibility and the like.

The invention relates to the field of medical apparatus and instruments, and discloses a respiratory functional exercise device which comprises a shell. A blow pipe is arranged on the shell, an airflow trigger mechanism is arranged in the shell and is connected with a power source and storages, the power source and the storages can be turned on by the airflow trigger mechanism, a loudspeaker is connected with the storages, and the blow pipe is communicated with the airflow trigger mechanism. The respiratory functional exercise device has the advantages that fun can be increased by the respiratory functional exercise device when respiratory exercise is carried out by patients, and the exercise enthusiasm of the patients can be improved.

The invention discloses an elderly fitness training scoring method and electronic equipment. The method comprises the following steps: displaying a starting interface comprising a starting option; entering an interface I comprising an option I, wherein the option I is an option for entering a training part selection interface; entering a training part selection interface, wherein the training partselection interface comprises a plurality of different training part options; entering a training part I interface, wherein the training part I interface comprises more than one training item optionto which the training part I belongs; entering a training item I interface, and displaying a video thereof; collecting image information of a user; selecting human skeleton nodes and human contour nodes based on the depth data; calling a template action of the training item I, and analyzing a human body action difference degree based on the human body skeleton node and the human body contour node;and performing weighted summation on the human body action difference degree analyzed and calculated based on the human body skeleton nodes and the human body contour nodes to obtain a score. According to the method, the operation logic is simple, the usability is good, and a user can be helped to perform standard training; the equipment is simple in structure and low in cost.

The invention discloses an electronic fencing target with force value display. The fencing target comprises a target body, a pressure sensing element arranged on the target body, a signal processing unit and a display unit; when the target body is stabbed by fencing, the pressure sensing element is used for detecting a pressure signal and converting the pressure signal into a specific signal to be output; and the signal processing unit is used for collecting the specific signal and converting the specific signal into a corresponding pressure value, and the pressure value is displayed through the display unit. The fencing target is simple in structure, convenient to use and capable of detecting and displaying fencing stabbing force values, so that fencing training results are fed back visually, intelligence of the fencing target is improved, training interestingness is increased, trainees can train independently according to the fencing target, and coaches can give advice to players during play according to the fencing target.

The invention discloses a voice technology-based intelligent virtual training method for complex equipment and system, which belong to the field of virtual training. Firstly, a virtual simulation operation environment is built for the complex equipment; secondly, in combination of personnel post configuration in the training process, parallel acquisition and processing for multi-channel voice arecarried out; thirdly, in view of determined equipment operation rules, effective voice features of training staff are extracted, automatic voice recognition is realized, and matching analysis with a password text pattern in the rules is completed; fourthly, automatic voice synthesis for equipment operation information is carried out, and through task coordination between the equipment and components, synchronization of actions, voice, phenomena, prompt and other elements of virtual training is realized; and finally, according to the requirements of equipment training and use, a learning resource base, an operation rule base, an assessment result base, a virtual equipment base and a maintenance fault base for principle teaching, rule back-to-front, virtual training, task assessment and fault diagnosis are built.

The invention discloses a shape-adaptive pelvic floor muscle group trainer, comprising a probe, a medium source and a control terminal, wherein the probe is provided with a cylindrical main body, the main body is provided with a plurality of limiting devices which can be rotated out or pulled out, the main body is covered by an elastic material, the surface of the elastic material is provided with a plurality of bulges in capsule arrangement, space is formed between the main body and the elastic material, and the main body or the surface of the elastic material is provided with a pressure sensor; the tail end of the main body is connected with the medium source by means of a valve, and the control terminal is provided with a control interface, which is connected with the pressure sensor and the medium source in a wireless way, can control the injection and the extraction of a medium, and receives a real-time pressure signal fed back by the pressure sensor. Shape and length self-adaption, and visual and dynamic training are realized, and the internal environment of a human body is prevented from being infected.

The invention discloses a pelvic floor muscle training system. The system comprises a pelvic floor muscle training instrument for collecting electromyographic signals and a training feedback module. The training feedback module converts the electromyographic signals into display signal conversion marks which can be visually observed in real time in a display picture; and meanwhile, preset coordinate point marks are preset to serve as targets. When the data of one display signal conversion mark and the data of one preset coordinate point mark are intersected in a display interface module, a corresponding intersection confirmation mark is generated in the display interface module, and feedback excitation for achieving one target is given to a user, so the user prepares to intersect with thenext preset coordinate point mark in advance to realize training progress and the participation degree and the training enthusiasm of the user are improved. The invention further provides a corresponding pelvic floor muscle training method.

The invention relates to the technical field of medical equipment, in particular to an induction type rehabilitation training device which comprises a mounting frame, a bed body is arranged on the top face of the mounting frame, a support is arranged above the mounting frame, a hand adjusting mechanism is arranged on the support, a hand holding device is arranged below the hand adjusting mechanism, a hand myoelectricity detector is arranged on the hand holding device, and a guide groove is formed in the bed body; a guide rod used for mounting a foot placement block is arranged in the guide groove, a groove is formed in the foot placement block, a foot myoelectricity detector is arranged in the groove, a bandage used for mounting a leg myoelectricity detector is arranged on the side surface of the mounting rack, and a signal processor is arranged on the bottom surface of the mounting rack. Through cooperation of the hand myoelectricity detector, the foot myoelectricity detector, the leg myoelectricity detector, the signal processor and a displayer, whether the duration time of contraction training reaches the training standard or not can be detected, the efficiency effect is improved, the body change condition of a patient is displayed, and the training enthusiasm and the training level are improved.

The invention discloses an exercise device for preventing lower limb thrombus, and relates to the technical field of medical treatment, the exercise device comprises a box body, a mounting groove is formed in the box body, two foot exercise pieces arranged in parallel in the horizontal direction are mounted in the mounting groove, and each foot exercise piece comprises two first lug seats axially arranged at the bottom end of the inner wall of the mounting groove; a foot training plate for supporting the feet of the patient is hinged between every two first lug seats, the foot training plates are fixedly connected with the bottom ends of the inner walls of the mounting grooves through first springs, and fixing blocks arranged in the radial direction are fixedly mounted on the outer surfaces of the foot training plates. The training interestingness of the device is improved, and the training enthusiasm of the patient is improved.

The embodiment of the invention discloses a hand function rehabilitation training and evaluation device based on voice control. The hand function rehabilitation training and evaluation device based on voice control comprises an upper computer, a main control unit, a driving unit, a transmission unit, a hand execution unit, a voice input unit and an evaluation unit. The voice input unit is connected with the upper computer, the voice input unit is used for receiving voice information sent by a user, and the upper computer recognizes mode information to be selected according to the voice information sent by the user. According to the hand function rehabilitation training and evaluation device based on voice control, the defects that a hand rehabilitation robot is single in function, large in size and inconvenient to operate can be overcome, a convenient rehabilitation training and evaluation mode can be provided for a user, and the training rehabilitation interest of the user is aroused.

The invention provides a human-computer interaction system with a good interaction effect. The system comprises an identity verification subsystem, a training subsystem, a data processing subsystem and an interaction subsystem, wherein the identity verification subsystem is used for verifying the identity of a child to be trained; the training subsystem is used for identifying the human body behavior of the child who passes identity verification to obtain a human body behavior identification result; the data processing subsystem takes the human body behavior identification result as child physical training basic data, determines a child physical training situation and sends the child physical training situation to the interaction subsystem; and the interaction subsystem is used for playinga child physical training teaching video according to the child physical training situation. The invention has the beneficial effects that the human-computer interaction system with the good interaction effect is provided, the system realizes effective training for children, the children can obtain the teaching video through the interaction subsystem so as to be favorable for creating a good learning atmosphere, and the training enthusiasm of the children can be improved.

The invention belongs to the technical field of medical equipment, and particularly relates to a flexible forearm rehabilitation training device. The flexible forearm rehabilitation training device comprises a forearm bracket, a first swing arm and a second swing arm which are symmetrically and rotationally connected to the two ends of the forearm bracket, a motor bracket installed at the upper end of the first swing arm and the upper end of the second swing arm, a rotating motor installed on the motor bracket, a first belt wheel which is coaxially connected to an output shaft of the rotatingmotor, and a second belt wheel which is connected to the first belt wheel through a belt. The pronation and supination rehabilitation training of the forearm is achieved through the belt. The device can be placed beside a table, a platform and other carriers to conduct rehabilitation training, and has the advantages of being small in training scene limitation degree, convenient to move, convenientto training, small in size, light in weight, capable of improving the space occupancy and the like, and therefore the training efficiency and the training completion degree of a patient are improved.

The invention provides a virtual reality-based rotator cuff injury postoperative rehabilitation training system and method, and the method comprises the following steps: S1, receiving basic information of a rotator cuff injury user, and formulating a corresponding training scheme according to the basic information; s2, training content based on virtual reality is returned to the user according to the training scheme, and in the step S2, the training content of the first stage is returned to the user firstly, the training content of the second stage is returned after the user completes the training content of the first stage, and so on until the training content of all stages in the corresponding user training scheme is completed. According to the scheme, the patient is helped to perform rehabilitation training based on virtual reality, the requirement of special situation experience can be met, the original repeated and boring training is changed into a situation type feedback exercise mode, and the training enthusiasm of the patient is improved.

The invention relates to a flexible control method and a flexible control system for the arm strength of a robot, aiming to provide better human-computer interaction experience. The method is used forcontrolling a robot arm that can assist patient's injured limbs to complete rehabilitation training actions, the robot arm can realize multi-dimensional motion, and a motor is arranged correspondingto each dimension. The method is characterized by including acquiring a strength value F2 of a patient's injured limb in a certain dimension; calculating the torque F1 of the motor corresponding to the dimension according to a flexibility formula, wherein the flexibility formula is F1=(F-F2)*fc, wherein fc, namely a flexibility coefficient, is greater than 0 but smaller than 1, and F is an assessed strength value; controlling the corresponding motor according to the calculated motor torque F1 to drive the robot arm to move; when F2 is smaller than F, in other words, the patient's strength becomes smaller, compensating a strength difference value in the same direction as F2 through the robot arm; when F2 is greater than F, in other words, the patient's strength becomes larger, compensatinga strength difference value opposite to F2 through the robot arm. The flexible control method and the flexible control system are applicable to the field of medical instruments.

The invention discloses an upper and lower limb active and passive rehabilitation gamification training method, steering control is performed based on a left and right side strength difference value, and a hemiplegia asymmetric strength dynamic compensation unit, a dynamic steering threshold control unit and an automatic centering line steering unit are included; the hemiplegia asymmetric strength dynamic compensation unit monitors the actual strength values of the left side and the right side in real time when the patient operates the game device, and performs strength compensation on the hemiplegia side; the dynamic steering threshold control unit dynamically adjusts a steering threshold based on the maximum value of the actual force on the left side and the right side, and when the force difference value after compensation on the left side and the right side exceeds the steering threshold, the game device makes a turn deviating from the center line; and the automatic center line returning steering unit monitors the distance of the game device deviating from the center line in real time, and when the deviation distance reaches a set value, the game device automatically returns to the center line. According to the invention, boring monotonous training is changed into active-participation gamification interactive training, so that the active training consciousness of the patient is improved, and finally, the training effect is effectively enhanced.

The invention provides a muscle strength measuring system and application. The muscle strength measuring system comprises an electromyographic signal induction type multichannel pad pasting ring, a network wireless sensor, a signal receiver, a multichannel electromyographic signal processing and feature value extracting module and a visual muscle strength numerical value display feedback module, wherein the network wireless sensor is combined to the electromyographic signal induction type multichannel pad pasting ring, and the multichannel electromyographic signal processing and feature valueextracting module is mounted on a computer. The muscle strength measuring system is noninvasive, safe, convenient for collection and easy and feasible to operate, is capable of realizing objective, accurate and visual muscle strength measurement and has instantaneity. The muscle strength measuring system can be applied to the muscle strength measurement and muscle strength training.

The invention relates to a rehabilitation device after thoracotomy. The device is formed by connecting a rigid protective strip and a connecting unit which can be extended greatly but can be shortened slightly or cannot be shortened, and is provided with a respiratory training device, and under intelligent control of a processor, according to a respiratory signal and a thoracic signal, the wearing adaptability of the rehabilitation device, the respiratory function completeness of the patient and the respiratory training effect are prompted.

The invention discloses an automatic training and checking system for a navigation calculation skill. The training and checking system comprises a data rule generation module, a skill training judgment module, a calculation data model module, an automatic timing module and a scoring and checking module. According to the automatic training and checking system for the navigation calculation skill, interaction functions of training, checking, data management and the like are provided in an integrated mode, the training enthusiasm is improved, the complexity of paper drawing, stopping, paper changing and checking is reduced, and the problems of training improvement and automatic checking of the navigation calculation skill are solved.

The invention provides a virtual reality-based joint injury rehabilitation training system and a virtual reality-based joint injury rehabilitation training method. The virtual reality-based joint injury rehabilitation training method comprises the following steps of S1, receiving basic information including joint injury information of a user; s2, making a corresponding training scheme according to the basic information; and S3, returning training content based on virtual reality to the user according to the training scheme. The patient is helped to perform rehabilitation training based on virtual reality, the requirement of special situation experience can be met, the original repeated and boring training is changed into a situation type feedback exercise mode, and the training enthusiasm of the patient is improved.