CN114587276A

CN114587276A - Nursing system and method for monitoring movement

Info

Publication number: CN114587276A
Application number: CN202210214136.7A
Authority: CN
Inventors: 岳敏; 高崇崇; 寇京莉
Original assignee: Xuanwu Hospital
Current assignee: Xuanwu Hospital
Priority date: 2022-03-04
Filing date: 2022-03-04
Publication date: 2022-06-07

Abstract

The invention relates to a care system and a method for monitoring movements. The care system guides a trainer to perform rehabilitation training using the following care method: the nursing system monitors the exercise parameters of the trainee when the trainee does the specific exercise and adjusts the difficulty of the set guiding program based on the exercise parameters, and monitors the exercise parameters of the trainee based on the adjusted set guiding program after the set guiding program is adjusted. The nursing system adaptively adjusts the difficulty of the established guide program according to the action parameters of the training personnel, so that the established guide program always has positive strengthening effect on the psychology of the training personnel, the training enthusiasm of the training personnel can be kept while the training personnel is supervised and guided to carry out rehabilitation training, the motion balance force of the training personnel is improved, and the training effect of the rehabilitation training is fully ensured.

Description

Nursing system and method for monitoring movement

Technical Field

The invention relates to the technical field of motion monitoring, in particular to a nursing system and a nursing method for monitoring motion.

Background

When people get old, the balance ability will decline slowly, and the people are easy to fall down and wrest, and the unexpected injuries of the hip, wrist, waist and other parts can be caused. Rehabilitation exercises can assist in restoring the balance force of a patient or improving the decline of the balance force of the patient by exercising muscles and nerves. The rehabilitation training is mostly assisted by the existing mechanical equipment, but the existing mechanical equipment is mostly used for completing some training actions through auxiliary training personnel to perform rehabilitation training, the training personnel mostly adopt a one-way control training mode that the training personnel automatically control the mechanical training equipment or drive the training personnel to move through the mechanical training equipment, and human-computer interaction actions are lacked between the mechanical equipment and the training personnel.

For example, CN213698689U discloses a training carpet, which comprises a sports carpet and an indicator structure disposed on the sports carpet, wherein the indicator structure comprises a plurality of touch pieces arranged at intervals, and a plurality of touch pieces are arranged and combined to form a movement route. When the training personnel is training, the training personnel can do various actions by sequentially touching the touch pieces on the sports blanket along the indicated movement route, and the effects of training the coordination of the limbs and the agility of the brain of the training personnel are achieved in the process of touching the touch pieces by hands or feet.

Except for some patients who are difficult to do autonomous movement, the training mode can not mobilize the sufficient movement autonomy of the training personnel for the training personnel with sufficient autonomous movement ability, so that the training personnel excessively depend on the training equipment, the perception and the control of the muscle and the movement of the training personnel are lacked, the training effect is very limited, and the training personnel are very likely to be injured during doing actions due to the wrong muscle exertion mode; and this kind of equipment also lacks the aassessment and the correction process to patient's motion and action, and training person only relies on the structure of this kind of equipment to carry out the action and corrects, nevertheless restricts the limited adjustment range of mechanical structure and training person to the cognitive degree that uses this kind of mechanical equipment, especially training person belongs to the crowd that nerve and muscle ability are degenerated, and training person is difficult to adjust this mechanical equipment to really be fit for oneself training mode according to the in service behavior, has embodied the limitation of unmanned aerial vehicle interactive rehabilitation training equipment especially.

CN109731292B provides a balance ability testing and training system and method based on virtual display technology, the system includes: the test customizing module is used for customizing a test scheme; the training customization module is used for generating a training scheme according to the balance ability report; the virtual scene module is used for presenting a simulation virtual training scene according to the test scheme and creating a virtual training scene according to the training scheme to perform balance training; the gesture capturing module is used for acquiring motion data and barycentric coordinates in a simulated virtual training scene, outputting the motion data and the barycentric coordinates to the test evaluation module to form a balance capability report, and performing gesture detection and barycentric coordinates acquisition in the virtual training scene.

According to the invention, human-computer interaction is combined in the rehabilitation training process through the virtual display technology, the training personnel is guided to perform action training through the virtual display technology, the balance capability of the training personnel is detected in the training process, and a balance capability test report is provided. However, the man-machine interaction of the comparison document is mainly used for providing a more professional balance ability detection method, and the main purpose is not to promote the rehabilitation of the training personnel.

The strengthening theory is one of the process-type excitation theories. The behaviour of a person is perceived as a function of the stimulus it receives, and if this stimulus is beneficial to him, it will repeat, and if it is not, it will diminish until it disappears. The strengthening theory has wide application in various aspects such as education, management and the like, and has important significance in the behavior development stage. The design of the rehabilitation product is a product of multiple subjects related to psychology, medicine, ethology, design and the like, the psychology of a rehabilitation patient can be controlled after the rehabilitation patient needs to be thoroughly understood, and then the rehabilitation nursing equipment is adjusted according to the psychological condition of the patient so as to stimulate and strengthen the autonomy of the patient in actively participating in the rehabilitation training process and fully mobilizing the autonomy of the patient. The strengthening theory and the human-computer interaction are combined on the rehabilitation training equipment, so that the movement enthusiasm of a patient can be greatly mobilized, the positive strengthening effect is exerted to assist in improving the training efficiency of a trainer, and meanwhile, the training program of the current rehabilitation training equipment can be adjusted according to the emotion and the feeling of the trainer, so that the current training program is always adapted to the physical condition of the trainer to keep the positive strengthening effect on the trainer.

Furthermore, on the one hand, due to the differences in understanding to the person skilled in the art; on the other hand, since the applicant has studied a great deal of literature and patents when making the present invention, but the disclosure is not limited thereto and the details and contents thereof are not listed in detail, it is by no means the present invention has these prior art features, but the present invention has all the features of the prior art, and the applicant reserves the right to increase the related prior art in the background.

Disclosure of Invention

In view of the shortcomings of the prior art, the present invention provides a nursing system for monitoring exercise, the nursing system guides a trainee to do a specific exercise based on a predetermined guiding program, the nursing system monitors exercise parameters of the trainee when the trainee does the specific exercise, and the nursing system adjusts the difficulty of the predetermined guiding program based on the exercise parameters. The monitoring comprises balance force monitoring and accuracy monitoring, and the motion parameters comprise path speed and swing distance parameters for judging the minimum pressure center of the balance force of the training personnel and pressure center position deviation information for judging the action accuracy of the training personnel. The nursing system comprises a control module, the control module calculates a motion standard index of the trainee based on the motion parameters, and adjusts the motion difficulty of the set bootstrap program based on the motion standard index, and the nursing system monitors the motion parameters of the trainee based on the adjusted set bootstrap program.

Preferably, the predetermined guidance program can be set in advance, and the trainee can complete the related actions according to the guidance of the predetermined guidance program, thereby achieving the effect of assisting the balance force exercise. The nursing system judges the accuracy of the balance force and the action of the trainer through the contact and mechanical action relation with the movement device in the movement process of the trainer, and can readjust the difficulty of the established guide program based on the result of automatic detection and judgment, so that when the trainer uses the nursing system to carry out balance force training, on one hand, the nursing system can play a training role, and on the other hand, the nursing system can automatically adjust the established guide program according to the use condition and the action standard degree of the trainer repeatedly, so that the nursing system can automatically adapt to the actual condition of the trainer to adjust the movement difficulty to the range which is most suitable for the trainer; moreover, the action of the trainer can be prompted and corrected according to the action deviation condition of the trainer by methods such as voice prompt, so that the training action accuracy of the trainer can be ensured, and the training effect of the trainer can be ensured. The correct and active exercise training can enable the trainees to fully feel the correct muscle strength in the training process, increase the training confidence of the trainees, and meanwhile, can mobilize the enthusiasm of the trainees to actively pay attention to and keep accurate exercise.

According to a preferred embodiment, the exercise parameters further include physiological parameters of the trainee during exercise, the control module calculates a mental index of the trainee based on the physiological parameters, and the control module calculates a matching index of the currently established bootstrap and the balance of the trainee according to the mental index and the exercise standard index of the trainee. The control module grades the matching indexes, calculates and adjusts difficulty adjustment gradients of the established bootstrap based on the grading number of the matching indexes, and adjusts the established bootstrap according to the calculated difficulty adjustment gradients.

When the nursing system is used for training specifically, a trainer firstly has certain cognition on the self balance capacity, preliminary self judgment exists on the difficulty of a given guide program in the training process of the trainer, and the judgment can be obtained from energy values of different wave bands of brain electricity of the trainer in the training process. The nursing system can preliminarily estimate the relative difficulty of the current established guide program to the training personnel by collecting the electroencephalogram information of the training personnel and calculating the energy of each waveband of the electroencephalogram information, meanwhile, the actual difficulty of the current established guide program to the training personnel, which is obtained by combining the nursing system according to balance force monitoring and accuracy monitoring, can preliminarily calculate the matching index of the current established guide program and the actual balance capacity of the training personnel by combining data analysis between the current established guide program and the training personnel, and the difficulty range of the established guide program suitable for the balance capacity of the training personnel can be calculated according to the size of the matching index.

By grading the matching indexes, the control module can determine how much difficulty the predetermined bootstrap program needs to be adjusted by adjusting the gradient according to the grading number of the matching indexes, namely, when the matching index is higher, the current difficulty is more suitable for the actual balance force of the training personnel, and when the preset bootstrap program is readjusted, the training difficulty which is most suitable for the training personnel can be quickly adjusted by adjusting the gradient with less difficulty near the difficulty value of the current predetermined bootstrap program. And when the matching index is lower, the difference between the current movement difficulty and the actual balance force of the training personnel is far, and the gradient can be quickly adjusted to be in the difficulty range suitable for the actual balance force condition of the training personnel by adjusting with greater difficulty during readjustment. The adjusting mode can greatly shorten the adjusting time, reduce the influence of inappropriate exercise intensity on the body of a trainer, shorten the time for the exercise to generate confidence striking on the trainer, reduce the negative strengthening effect of the exercise on the psychology of the trainer, quickly adjust the exercise range suitable for the trainer, improve the training accuracy of the trainer, protect the physical health of the trainer, and increase the positive strengthening effect of using the nursing system on the psychology of the trainer, thereby improving the training enthusiasm and the training effect of the trainer.

According to a preferred embodiment, the matching indices are graded in the following manner: based on the strengthening theory, the difference value of the physiological parameters for generating the matching indexes of any two adjacent grades is constant.

By taking the physiological parameters of the training personnel as the priority grading standard, the psychological cognition and feeling of the training personnel can be taken as the priority condition for adjusting the training difficulty, the negative reinforcement effect of the exercise training with unsuitable difficulty on the psychology of the training personnel is fully reduced, the training difficulty is quickly reduced when the negative reinforcement effect is generated on the psychology of a patient by the current exercise training, the training confidence of the training personnel is assisted to be gradually established again, and the exercise enthusiasm of the training personnel is mobilized. The grading mode is, for example, conditioned on the physiological parameters of the trainee, and when the energy value of the theta wave of the trainee is high, that is, the trainee is frustrated in the current training process, and the energy value of the theta wave is higher than that of the gamma wave, the matching index value under the current physiological parameters is defined as a grade with a lower matching degree, so that the difficulty in exercise is quickly reduced. On the contrary, when the energy value of the beta wave of the training person is higher than that of the beta wave and the duration time exceeds a certain time length T, the matching index under the current physiological parameter is defined to be higher, so that the exercise difficulty is slowly improved. Preferably, a first threshold value also exists in the grading of the matching index, and when the matching index is greater than the first threshold value, the game difficulty is improved so as to reduce the matching index, improve the exercise concentration of the training personnel, avoid the relaxation of the training personnel and increase the exercise effect; when the matching index is smaller than the first threshold value, the game difficulty is reduced, so that the self-confidence of the trainer is increased, and the exercise enthusiasm of the trainer is ensured. Preferably, the first threshold is a matching index when the energy value of the θ wave is equal to the energy value of the β wave. According to the difference of the accuracy of the movement of different trainees, the numerical values of the corresponding first threshold values are different, so that the different calculation mode can fully adapt to the training requirements of different trainees.

According to a preferred embodiment, the difference value of the physiological parameter is determined according to the magnitude of the physiological parameter variation value of the trainer in the maximum difficulty of the preset guide program movement and in the minimum difficulty of the preset guide program movement. The setting mode can determine the relative movement difficulty of the complete movement difficulty of the current nursing system in the self evaluation of the training personnel, preliminarily estimates the influence of each difficulty adjustment gradient on the change of the physiological parameters of the training personnel according to the relative movement difficulty, and grades the matching indexes according to the difference value of the physiological parameters can be more fit with the actual condition of the change of the psychological condition of the current training personnel. The magnitude of the physiological parameter change value for the trainee in the most difficult pre-determined bootstrap movement and in the least difficult pre-determined bootstrap movement may be determined before the care system runs the pre-determined bootstrap.

According to a preferred embodiment, the first threshold is a range value, and the control module adjusts the difficulty adjustment gradient of the given bootstrap to zero when the matching index is equal to the first threshold. When the matching index is at the first threshold value, the physiological parameters and the accuracy value of the training person are the most suitable for the difficulty of the current established guide program, and the training performed by keeping the physiological parameters and the accuracy value at the first threshold value can simultaneously take account of the training confidence of the training person and the training effect of the training process on the training person. Preferably, since the accuracy value can be learned by the trainee through the acousto-optic prompt module or the visual sense of the trainee, when the accuracy value is low, the low accuracy value will affect the change of the physiological parameter of the trainee, and further the matching index will change and the grading will change. In summary, the classification based on the physiological parameters of the trainee can only keep the game difficulty stable when the accuracy index of the trainee reaches a certain value and the physiological parameters are in the process of generating positive reinforcement.

According to a preferred embodiment, the care system further comprises a movement device for placing on the floor for the training person to move thereon according to a given guiding procedure, said movement device being capable of at least partial movement parameter detection. The motion device is at least provided with a plurality of sensors in an array mode, the control module determines the center position of the sensor with return data not being zero based on array position information of the sensor with pressure data return, compares the center position with the center position of a set guiding program to determine offset, and determines an accuracy index according to the offset. The motion parameters comprise a path speed and a swing distance parameter used for judging the minimum pressure center of the balance force of the training personnel, the control module determines a balance index of the training personnel at the center position according to the path speed and the swing distance parameter, and the control module calculates a motion standard index based on the accuracy index and the balance index.

When a trainer strides out of a step above the sports device according to prompts generated by a given guide program, the setting mode can calculate and adjust the striding-out position of the next prompt according to relevant parameters such as actual foot codes and leg lengths of the trainer, so that the situation that the training trainer cannot exercise scientifically in the process of actually using the sports device due to the difference and limitation of the foot codes and the height and the evaluation of actual balance force and accuracy is influenced, the difficulty adjustment of the given guide program in the using process of the trainer is influenced, and the using effect is influenced is avoided. The control module is used for determining the step falling point suitable for the next step of the trainer under the current difficulty by combining the parameters of the trainer such as the foot code, the height and the like, and estimating the related balance force level and accuracy according to the determined falling point, so that the actual training process is not influenced by the foot code, and the evaluation process is more scientific and credible.

According to a preferred embodiment, the control module calculates a mental index based on the energy values of the theta and beta waves,

the control module calculates the match index based on a sports compliance index and a mental index, the match index being a sum of the sports compliance index and the mental index. Training difficulty adjustment is performed by simultaneously considering the exercise standard index and the experience of the trainees, so that both training effect and exercise enthusiasm of the trainees can be considered.

In another aspect, the present invention also provides a care method for monitoring exercise, the method at least comprising:

guiding the trainees to do corresponding actions according to a set guiding program, monitoring the exercise level parameters and the physiological parameters of the trainees,

generating a matching index of the balance force level of the current established guiding program and the training personnel according to the motion level parameters and the physiological parameters, and adjusting the established guiding program according to the matching index;

the exercise level parameter and the physiological parameter of the trainee are monitored based on the adjusted established guidance program.

Drawings

FIG. 1 is a schematic diagram of a data connection of a care system of the present invention;

fig. 2 is a logic diagram of the treatment method of the present invention.

List of reference numerals

100: a control module; 200: and (4) a movement device.

Detailed Description

Example 1

The embodiment discloses a nursing system for monitoring sports, which can be used for training the balance force of an old person with declined balance force and monitoring the condition of sports training in the training process. The care system guides a trainer to move on the exercise device 200 according to a predetermined movement guide program, detects and evaluates movement movements and the like of the trainer according to the guide, and indicates a movement error of the trainer when the movement of the trainer is abnormal. The nursing system further comprises a plurality of established guide programs with different difficulties, and the nursing system can adjust the established guide programs according to the action standard degree of the training personnel to reduce the difficulty of movement, improve the action standard degree of the training personnel, ensure the exercise effect of movement and simultaneously improve the movement enthusiasm of the training personnel.

According to a preferred embodiment, the exercise device 200 includes at least a sensor, an audible and visual cue module, and a control module 100. The sensor is used for detecting the motion state and the normative of the action of the training personnel. The acousto-optic prompting module is used for guiding the training personnel to do exercise according to the set guiding program. Preferably, the audible and visual cue module is capable of generating at least a first audible and visual cue for providing pre-action guidance and a second audible and visual cue for post-action indication. The control module 100 is in data connection with the sensor, and the control module 100 receives data from the sensor, analyzes the data according to the received data, and generates a control signal for controlling the acousto-optic prompt module to generate corresponding acousto-optic prompts. The sound and light prompt module is in data connection with the control module 100, receives the control signal sent by the control module 100, converts the control signal into an action signal capable of responding, and generates a sound and light prompt according to the action signal.

According to a preferred embodiment, the exercise device 200 may be implemented as an exercise mat that can be laid flat on the ground for movement of training personnel over it when in use. Preferably, the sports carpet may be a multi-layer structure. For example, at least a first layer for stable contact with the ground, a second layer for housing the sensors, the acousto-optic prompt module and the like, and a third layer for covering and protecting the sensors and the acousto-optic prompt module and being capable of transmitting the light generated by the acousto-optic prompt module on the second layer. The first layer, the second layer and the third layer are sequentially overlapped and connected together in a pressing process, a viscose glue mode, a double-faced adhesive tape mode, a screw mode, a hot melting mode and the like, so that the first layer, the second layer and the third layer are prevented from being separated from each other when a trainer moves on the sports blanket, and the stability and the durability of the connection structure of the first layer, the second layer and the third layer are guaranteed. Preferably, the acousto-optic prompt module can be arranged on the second layer and is covered by a third layer which can transmit light for protection; alternatively, the audible and visual prompt module can be disposed on the third layer to generate a sufficiently noticeable prompt. The acousto-optic prompt module may be implemented to include at least one sound emitting element and a number of light emitting elements. Preferably, the sound element may be implemented as a buzzer. Preferably, the light emitting element may be implemented as an LED lamp. Preferably, the control module 100 may be disposed on any layer of the exercise device 200, and more preferably, on a second layer. Preferably, the control module 100 is also capable of remotely connecting with the exercise device 200 through wireless signals. The sports blanket can be made of flexible materials such as rubber, silica gel, canvas and the like so as to provide buffer when being used by training personnel, reduce joint damage in the movement process of the training personnel and avoid the vibration generated in the use process from being transmitted to downstairs and disturbing downstairs life persons; and after training is complete, can be rolled up for storage. Preferably, the shape of the sports carpet can be various shapes such as rectangle, square, circle, ellipse, etc., and is not limited in particular.

According to a preferred embodiment, the exercise device 200 is formed by connecting a plurality of grids with uniform sizes or patterns are arranged on the surface to divide the exercise device 200 into a plurality of grids with uniform sizes, and the trainee treads the corresponding grids according to the guidance, and the grids to be treaded and treaded form the exercise route of the trainee so as to guide the trainee to move and walk along the exercise route to play the role of exercising balance force. Preferably, the size of the grid is sized to accommodate most people's foot codes. Preferably, a plurality of light emitting elements arranged in a specific shape are arranged in each grid, the plurality of light emitting elements in the grid can be controlled by the control module 100 to emit light simultaneously, and the generated prompting shapes and voice prompts generated by the buzzer based on control signals simultaneously sent to the buzzer by the control module 100 form a first acousto-optic prompt together so as to guide the trainee to step on the grid.

According to a preferred embodiment, the exercise device 200 is a unitary device, the plurality of light emitting elements are evenly distributed on the surface of the exercise device 200, and when guidance is required for the trainee, the control module 100 controls at least some of the plurality of light emitting elements to emit light to list the required prompting shapes at different positions of the exercise device 200, and the generated prompting shapes cooperate with the voice prompt generated by the buzzer based on the control signal sent by the control module 100 to the buzzer at the same time to form a first acousto-optic prompt to guide the trainee to move on the exercise device 200. The prompting shape can be a guide arrow, a dot or a footprint and the like which can play a guiding role.

According to a preferred embodiment, the care system further comprises a frame detection module arranged around the grid edges or at least partially luminous light emitting elements of the movement means 200, the frame detection module being in data connection with the control module 100. Preferably, the care system further comprises a central detection module for detecting whether there is a step or contact around the center of the intended landing point, the central detection module being in data connection with the control module 100. A central detection module in the drop point detects whether the training personnel accurately steps around the set drop point. When the training personnel is not detected to step around the set falling point in the detection period, a control signal is sent to the acousto-optic prompt module to control the acousto-optic prompt module to send out a second acousto-optic prompt so as to indicate that the action of the training personnel is not standard and/or guide the training personnel to adjust the action. When detecting that the training personnel tramples around the set falling point, the frame detection module around the set falling point detects the trampling or contact action of the area around the grid edge or at least part of the luminous element, and transmits the detected data to the control module 100, the control module 100 judges whether the area around the grid edge or at least part of the luminous element is trampled or contacted according to the detected data of the frame detection module to judge whether the training personnel tramples out of bounds, and sends a control signal to the acousto-optic prompt module under the condition that the training personnel tramples out of bounds to control the acousto-optic prompt module to send a second acousto-optic prompt to indicate that the action of the training personnel is not standard and/or guide the training personnel to adjust the action. Preferably, the frame detection module may be implemented as one or more of a pressure detector, an infrared detector, an electromagnetic detector, and the like, which are capable of detecting stepping or contact data of the trainee and generating detection data.

According to a preferred embodiment, the care system comprises a plurality of pre-defined training patterns of different difficulty, to provide training patterns of different difficulty for training persons of different motor abilities. Preferably, the care system includes at least a primary training mode, a mid-level training mode, and a high-level training mode of sequentially increasing difficulty. The less difficult primary training mode may be a mode in which the stride span along the direction of motion is the smallest and the side span perpendicular to the direction of motion is the largest. A moderately difficult mid-level training mode is one in which the stride span along the direction of motion is small and the side span perpendicular to the direction of motion is small. The most difficult advanced training mode is with the largest stride span along the direction of motion and the smallest side span perpendicular to the direction of motion. Preferably, the difficulty adjustment of the care system may be a fixed adjustment mode in which the exercise device 200 is automatically controlled by voice/motion or manually controlled by separate/combined buttons to make the adjustment before the exercise is started. Preferably, the difficulty adjustment of the nursing system can be automatically performed by the control system according to the electroencephalogram data of the trainee and the accuracy data of the actual action.

According to a preferred embodiment, the exercise difficulty of the nursing system may be increased by switching a predetermined exercise mode with different difficulty, and the guiding mode of the exercise device 200 may be a training route completely presented in the predetermined exercise mode before the exercise starts according to the predetermined exercise mode. However, the training modes which can be changed in the actual use process are limited, the difficulty difference between the training modes adjusted each time is large, and the matching degree with the actual balance force state of the training personnel is limited. Preferably, the exercise difficulty of the nursing system can be increased by adjusting the stride perpendicular to the exercise direction and the lateral span perpendicular to the exercise direction with smaller data variation values to adjust the exercise difficulty of the nursing system with a smaller difficulty adjustment gradient, so that the matching degree of the training pattern and the actual balance force state of the training staff can be improved. Preferably, the care system can also increase the difficulty of the exercise by increasing the criteria for accuracy of the determination.

According to a preferred embodiment, the size of the light-emitting range formed by the light-emitting elements that emit light based at least in part on the control of the control module 100 can vary according to the ease of the mode. For example, the light emitting ranges of the light emitting devices may be sequentially decreased as the training difficulty is sequentially increased; meanwhile, the detection range of the device is also sequentially reduced, so that the judgment condition of the treading accuracy of the exercise device 200 is improved, and the trainer can be judged as the action standard only by treading more accurately.

According to a preferred embodiment, the guiding mode of the exercise device 200 can be adjusted in real time and displayed step by step according to the training progress of the trainee, the accuracy of the action and the perception of the current training difficulty level by the trainee. That is, when the trainee steps on the first stepping point and stands stably, the only stepping position of the next step is displayed on the exercise device 200, and the sound generating device synchronously prompts the position of the only stepping position of the next step relative to the current stepping position, so that the trainee can recognize the traveling point of the next step. The next stepping position can be obtained by the following method: the control module 100 calculates a center drop point of the next step as a light emitting center point according to the foot size, the height information, the leg length information and the normal stride of the current user, analyzes and calculates the current light emitting radius according to the currently selected established difficulty mode, and sends a control signal to the light emitting elements on the light emitting radius around the light emitting center point to activate the current light emitting center point and the light emitting elements on the current light emitting radius to work, and the light emitting provides an indication for the training personnel. Meanwhile, the control module 100 activates the sensors in the current light-emitting center and the current light-emitting radius according to the measurement and calculation result to detect whether the trainee steps in the light-emitting radius; the control module 100 also activates the frame detection module around the light-emitting radius according to the measuring and calculating structure to detect whether the foot-falling point of the training person has deviation or not, and judges the action accuracy of the training person according to the magnitude of the deviation. Through such a setting mode, the current training mode and the luminescence can be intelligently adjusted according to the size of the foot size and the stride of the current training personnel, and the frame detection module can adapt to the change of the current luminescence center point and the luminescence radius and change the detection position so as to adapt to the increase of the difficulty of the training mode.

According to a preferred embodiment, at least a plurality of sensors are arranged on the exercise device 200 in an array, the control module 100 determines the center position of a sensor with return data not being zero based on the array position information of the sensor with pressure data return, compares the center position with the center position of a given guidance program to determine an offset, and determines an accuracy index according to the offset; the control module 100 determines a balance index of the trainee at the center position through the path speed and the swing distance parameter of the minimum pressure center, and the control module 100 calculates a movement achievement index based on the accuracy index and the balance index.

Preferably, the accuracy index is calculated as follows:

the accuracy index may be a vector value between the center position of the sensor and a center position preset by a given bootstrap. The center position of the sensor may be calculated based on the position of the maximum pressure value and the coordinate information of all sensors with return data that is not zero.

Preferably, the equilibrium index is calculated as follows:

respectively calculating the absolute energy of a beta 1 frequency band and an alpha frequency band of a training person; the alpha frequency band and the beta 1 frequency band are respectively brain wave intervals of 8-12Hz and 15-18Hz generated by the brain. Of the alpha-balanced band and the beta 1 bandThe energy calculation method can be, for example, signal preprocessing of the acquired brain wave signals by using an EEGLAB tool kit, including the steps of firstly carrying out filtering processing on the signals, and then using Independent Component Analysis (ICA) to remove noise and eliminate interference of eye movement artifacts; then segmenting the signal after ICA processing, and carrying out windowing processing to obtain a time domain signal x_mThe fast Fourier transform is carried out to convert the frequency domain signals into frequency domain signals, the frequency domain signals are squared to obtain the total frequency spectrum energy of the signals, and finally the average frequency spectrum energy is obtained. Equilibrium index of m E_α-n E_β1Wherein m and n are each E_αAnd E_β1Wherein the value of m may be 1, 2 or 3; n can take the value 1, 2 or 3.

Preferably, the exercise achievement index is calculated according to the following method:

the exercise standard index is a balance index + b accuracy index, wherein a and b are weighted values of the balance index and the accuracy index respectively, and the values of a and b can be determined by a user according to actual conditions.

Example 2

This embodiment is a further improvement of embodiment 1, and repeated contents are not described again.

The embodiment discloses a nursing method for monitoring sports, which at least comprises the steps of guiding the trainee to do corresponding actions according to a preset guiding program, monitoring the sports parameters of the trainee,

generating a motion standard-reaching index and a mental index of the current training personnel according to the motion parameters, calculating a matching index of the balance force level of the established bootstrap program and the training personnel according to the motion standard-reaching index and the mental index, and adjusting the established bootstrap program according to the matching index;

monitoring a motion parameter of the trainee including the physiological parameter based on the adjusted established guidance program.

Preferably, the physiological parameter is real-time brain wave data of the user. The control module 100 preprocesses the brain wave signals collected by the sensor; fourier transform is carried out on the brain wave signals after preprocessing, and the frequency band energy E of the corresponding beta wave frequency band and theta wave frequency band is obtained_βAnd E_θ. Theta waves, with a frequency of 4-7 times per second, are extremely pronounced in adults who are willing to suffer from frustration and depression, as well as in psychiatric patients. But this wave is the main component in the electroencephalogram of teenagers (10-17 years old). Beta waves, with a frequency of 14-30 times per second, appear when there is mental stress and emotional agitation or excitement, and when a person wakes up from sleep, the original slow wave rhythm can be immediately replaced by the rhythm. When the energy value of theta wave of the trainee is high, namely the trainee is frustrated in the current training process, and the energy value E of theta wave_θEnergy value E higher than the tower wave_βAnd when the duration is longer, the matching index value under the current physiological parameter is defined as the grade with lower matching degree, so that the exercise difficulty is quickly reduced. On the contrary, when training the energy value E of the beta wave of the person_βEnergy value E higher than secondary wave_θAnd when the duration is longer, the matching index under the current physiological parameter is defined to be higher, so that the exercise difficulty is slowly improved.

Preferably, the calculation method of the mental index may also be the following method:

mental index ═ E_θ/E_βWhen the mental index is greater than 1, the control module 100 reduces the difficulty of the established bootstrap; when the mental index is less than 1, the control module 100 raises the difficulty of the given boot program.

Preferably, the calculation method of the mental index may be as follows:

defining said value E of wave energy_θIs negative, the beta wave energy value E_βPositive values of the mental index are theta wave energy values E_θValue of energy E of said beta wave_β。

When the mental index is a negative value, the control module 100 reduces the difficulty of a given bootstrap;

when the mental index is positive, the control module 100 increases the difficulty of the predetermined boot procedure.

Preferably, the motion parameter is detected by at least two detection modules with distinct detection logic disposed on the motion device 200; for example, a balance force parameter detection module and a pressure magnitude or and position detection module.

According to a preferred embodiment, the control module 100 calculates the matching index based on a sports achievement index and a mental index, the matching index being the sum of the sports achievement index and the mental index. The difficulty adjustment is carried out by simultaneously considering the exercise standard index and the feeling of the trainee, so that the training effect and the exercise enthusiasm of the trainee can be considered.

According to a preferred embodiment, the matching index can also be calculated as a function of one time equation, i.e. the matching index is equal to k times the mental index plus the motor achievement index, where k is greater than 1. The weight value of the mental index in calculating the matching index can be increased by increasing the size of the k value.

It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents. The present description contains several inventive concepts, such as "preferably", "according to a preferred embodiment" or "optionally", each indicating that the respective paragraph discloses a separate concept, the applicant reserves the right to submit divisional applications according to each inventive concept. Throughout this document, the features referred to as "preferably" are only an optional feature and should not be understood as necessarily requiring that such applicant reserves the right to disclaim or delete the associated preferred feature at any time.

Claims

1. A care system for monitoring exercise, the care system guiding a trainee to make a specific exercise based on an established guidance program, the care system monitoring exercise parameters of the trainee while the trainee is making the specific exercise, the care system adjusting a difficulty of the established guidance program based on the exercise parameters;

it is characterized in that the preparation method is characterized in that,

the monitoring includes a balance force monitoring and an accuracy monitoring;

the care system comprises a control module (100), the control module (100) calculates a workout achievement index and a mental index for the trainee based on the workout parameters and adjusts the difficulty of the workout of the established guidance program based on the workout achievement index and the mental index,

the care system monitors the exercise parameters of the trainee based on the adjusted established guidance program.

2. The care system according to claim 1, wherein the movement parameters further comprise physiological parameters during movement of the trainee, the control module (100) calculating a mental index of the trainee based on the physiological parameters,

the control module (100) calculating a match index of a current established lead to a balance force of a trainee based on the mental index and the athletic compliance index;

the control module (100) ranks the matching indices, and the control module (100) calculates a difficulty adjustment gradient for adjusting the established bootstrap based on the number of ranks of the matching indices, and adjusts the established bootstrap according to the calculated difficulty adjustment gradient.

3. The care system according to claim 1 or 2, characterized in that the matching indices are graded in such a way that: based on the strengthening theory, the difference value of the physiological parameters generating the matching indexes of any two adjacent grades is constant.

4. The care system according to any one of claims 1 to 3, wherein the difference value of the physiological parameter is determined according to the magnitude of the physiological parameter variation value of the trainer in the maximum difficulty of the preset guide program movement and in the minimum difficulty of the preset guide program movement.

5. The care system according to any one of claims 1 to 4, wherein the control module (100) adjusts the difficulty adjustment gradient of the given bootstrap program to zero when the match index is within a first threshold range.

6. The care system according to any one of claims 1 to 5, characterized in that the control module (100) selects to reduce or increase the difficulty of an established bootstrap procedure based on the physiological parameter,

the physiological parameters are electroencephalogram energy values, and when the energy value of theta waves is higher than the energy value of beta waves, the control module (100) reduces the difficulty of a set guiding program;

the control module (100) increases the difficulty of a given boot procedure when the energy value of the theta wave is lower than the energy value of the beta wave.

7. The care system according to any one of claims 1 to 6, wherein the first threshold is a value of the matching index when an energy value of a theta wave is equal to an energy value of a beta wave.

8. A care system as claimed in any one of claims 1 to 7, characterized in that it comprises a movement device (200) for placing on the floor for movement of a training person thereon according to a given guidance mode, said movement device (200) being capable of at least partial detection of movement parameters,

the motion device (200) is at least provided with a plurality of sensors in an array mode, the control module (100) determines the center position of a sensor with return data not being zero based on array position information of the sensor with pressure data return, compares the center position with the center position of a set guiding program to determine offset, and determines an accuracy index according to the offset;

the control module (100) determines a balance index of the trainee at the center position through the path speed and swing distance parameters of the minimum center of pressure,

the control module (100) calculates a motion achievement index based on the accuracy index and the balance index.

9. The care system according to any one of claims 1 to 8, wherein the control module calculates a mental index based on an energy value of a theta wave and an energy value of a beta wave.

10. A care method for monitoring movements, characterized in that the method comprises at least:

guiding the trainee to do corresponding actions according to the established guiding program, monitoring the motion parameters of the trainee,

calculating a movement standard-reaching index and a mental index of the training personnel according to the movement parameters, generating a matching index of the balance force level of the current established bootstrap program and the training personnel according to the movement standard-reaching index and the mental index, and adjusting the established bootstrap program according to the matching index;

and continuing to monitor the motion parameters including the physiological parameters of the trained personnel based on the adjusted established guide program.