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

Three-stage brain-controlled upper limb rehabilitation method combining steady-state visual evoked potential and mental imagery

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.
Owner:SHANGHAI UNIV

Movement imagery brain-computer interface-based hand function rehabilitation method

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.
Owner:SHANGHAI UNIV

Intelligent transfer and walking aid robot and motion intention recognition method

InactiveCN109528456ASolve the problem of unfavorable motor relearningNo rigid impactWalking aidsNursing bedsGait trainingHome environment
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.
Owner:高增明

Upper limb rehabilitation training method based on virtual driving experience

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.
Owner:GUANGZHOU XIAOKANG MEDICAL TECH CO LTD

Elderly fitness training scoring method and electronic equipment

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.
Owner:SHANGHAI UNIV OF T C M +1

Voice technology-based intelligent virtual training method for complex equipment and system

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.
Owner:中国人民解放军火箭军工程大学

Induction type rehabilitation training device

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.
Owner:ZHEJIANG HOSPITAL

Human-computer interaction system with good interaction effect

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.
Owner:广州达通光电科技有限公司

Flexible control method and flexible control system for arm strength of robot

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.
Owner:浙江迈联医疗科技有限公司

Active and passive rehabilitation gamification training method for upper and lower limbs

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.
Owner:NANJING VISHEE MEDICAL TECH

A lower limb rehabilitation robot control system and control method

The invention discloses a lower limb rehabilitation robot control system and a control method, belonging to the field of medical equipment. The control system includes a power module, a development board, a drive module, a robot body, a data acquisition module and an industrial computer. The power module is connected to the development board, the development board is connected to the driving module, and the data acquisition module is connected to the industrial computer, which includes a sEMG acquisition instrument, a sensor and a photoelectric encoder. The system can accurately detect the training and recovery of the patient's lower limbs in real time, thereby adjusting the training mode and training level according to the actual situation of the patient's lower limbs, and improving the rehabilitation training effect of the patient. The method adopts the above-mentioned control system to control the lower limb rehabilitation robot, so that the compliance and impedance control effect of the rehabilitation robot is good during training, and the self-adaptive effect is better when switching training modes, and it can accurately identify the patient's active consciousness command and interact with the patient. High performance, effectively increasing the patient's training enthusiasm and training effect.
Owner:ANHUI UNIVERSITY OF TECHNOLOGY
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