CN116421848A

CN116421848A - fNIRS-based rehabilitation training system and storage medium

Info

Publication number: CN116421848A
Application number: CN202310665492.5A
Authority: CN
Inventors: 汪待发
Original assignee: Huichuang Keyi Beijing Technology Co ltd
Current assignee: Huichuang Keyi Beijing Technology Co ltd
Priority date: 2023-06-07
Filing date: 2023-06-07
Publication date: 2023-07-14
Anticipated expiration: 2043-06-07
Also published as: CN116421848B

Abstract

The application discloses a rehabilitation training system and a storage medium based on fNIRS. The training interface is used for displaying dynamic change of the training interface related to the current blood oxygen concentration of the training object when the training object executes the training task, moving pictures of the floating body running relative to the clusters of different types of targets are displayed in the training interface, the clusters of different types of targets and floating bodies are displayed in a first area of the training interface, the floating bodies conduct lifting movement in response to the change of the current blood oxygen concentration of the training object when the training object executes the training task, and the lifted height corresponds to the displayed targets and is acquired by the floating bodies. Therefore, psychological pressure of a training object in the process of executing the rehabilitation task can be reduced, the training compliance is improved, and the training effect is improved.

Description

fNIRS-based rehabilitation training system and storage medium

Technical Field

The application relates to the technical field of near infrared brain function imaging, in particular to a rehabilitation training system based on fNIRS and a storage medium.

Background

Cognitive intervention is an important and effective intervention means for the neural development brain diseases such as limb dysfunction, hyperactivity and the like. Cognitive intervention, cognitive training or psychotherapy all require conscious participation by the patient. Most cognitive training requires that the patient be able to understand the operating instructions and perform the training tasks according to the operating rules. During the course of a patient's performance of a training task, the patient's mental condition may vary unexpectedly according to the performed training task, and the change in the patient's mental condition will directly affect the training effect. For example, the patient may be involved in mental conditions such as the patient's sense of self-control, anticipation, motivation, strategy, etc. during the performance of a training task. Especially, if the psychological conditions such as anxiety, loss of confidence, and out-of-control emotion occur in the process of executing the training task due to the unreasonable design of the training task or the training system, the better training effect cannot be achieved.

The existing method for performing cognitive intervention on the patient comprises drug treatment, instrument treatment, nerve feedback and the like, wherein the drug treatment has great side effects on human bodies, the instrument treatment mode is boring and is easy to lose training interest of the patient, the existing nerve feedback treatment mode also cannot enable the patient to keep the interest of performing feedback training, and the patient is easy to have dysphoria and psychological conditions with reduced confidence in treatment, so that a better treatment effect cannot be obtained.

Disclosure of Invention

The present application is directed to the above-mentioned technical problems existing in the prior art. The utility model aims at providing a rehabilitation training system and storage medium based on fNIRS can make training object obtain timely and audio-visual feedback at the in-process of carrying out rehabilitation training, keep sufficient confidence and higher interest to make training object can carry out rehabilitation training with positive attitude, avoid training object because the rehabilitation training of carrying out is comparatively boring and produce boring emotion, avoid simultaneously that feedback content introduces unfavorable emotion to the training object of extensive attribute, thereby improve the effect of rehabilitation therapy to training object.

According to a first aspect of the present application, there is provided an fmirs-based rehabilitation training system comprising an interface and a processor. The interface is configured to acquire blood oxygen concentration data obtained by a training object based on the acquired near infrared data of the corresponding brain region when the training object executes a rehabilitation task, and the rehabilitation task at least comprises a training task. The processor is configured to present a training interface that dynamically changes in association with a current blood oxygen concentration of the training object when the training object performs a training task during the training task, and present an animation of a cluster operation of a plankton relative to different types of targets in the training interface, specifically including: and displaying the clusters with different types of targets and the floating bodies in a first area of the training interface, wherein the floating bodies perform lifting movement in response to the change of the current blood oxygen concentration of the training object when the training object performs a training task, and the displayed targets with the lifting height are touched by the floating bodies and are collected.

According to a second aspect of the present application, there is provided a computer-readable storage medium storing a computer program of fmirs-based rehabilitation training, which when executed by a processor, causes the processor to perform the following processing: in the process that the training object executes the training task, a training interface which is dynamically changed in association with the current blood oxygen concentration of the corresponding brain area when the training object executes the training task is presented, and in the training interface, an animation of cluster operation of a plankton relative to different types of targets is presented, wherein the animation specifically comprises the following steps: and displaying the clusters with different types of targets and the floating bodies in a first area of the training interface, wherein the floating bodies perform lifting movement corresponding to the change of the current blood oxygen concentration of a brain region when the training object performs a training task, and the displayed targets with the lifting height are touched by the floating bodies and are collected.

Compared with the prior art, the beneficial effects of the embodiment of the application are that:

the rehabilitation training system provided by the embodiment of the application provides animation which is in linkage reaction with the operation related content of the training task. The rehabilitation training system at least comprises an interface, a processor and a display, wherein the near infrared data acquisition device acquires near infrared data of a training object when the training object executes a training task and processes the acquired near infrared data to obtain blood oxygen concentration data. The near infrared data acquisition device transmits blood oxygen concentration data to the rehabilitation training system through the interface. On the display interface of the display, an animation of the movement of the plankton relative to the cluster is presented, the animation dynamically changing in association with the current blood oxygen concentration of the training object when performing the training task. That is, when the training subject performs a training task, the blood oxygen concentration data decreases, the floating body exhibits a decreasing motion, and if the blood oxygen concentration data increases, the floating body exhibits an increasing motion. The training object can keep high training interest based on the animation, and the training object can make the floating body rise to collect more targets by struggling to execute training tasks. On the one hand, the floating body can be understood as an object which has a continuous and gentle movement track and can float up and down, for example, the floating body can be a fire balloon, a ship, a paper plane, a fish and the like, and the feedback is realized by adopting the floating body in the application, so that the floating body can perform gentle lifting movement according to the current blood oxygen concentration when a training object performs a training task, but not rapid lifting movement (such as a straight up and down plane) which is in negligence, and the mental condition that the training object generates panic, anxiety and worry when the training object performs the training task can be effectively avoided; on the other hand, the training object may desire to capture more targets by trying to maintain a high degree of interest and attention, and as the training object tries, the number of targets captured may increase, which in turn increases the confidence that the training object is performing the training task to obtain more targets. Thus, the rehabilitation effect on the training subject can be improved.

The foregoing description is merely an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above description and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.

Drawings

In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. Like reference numerals with letter suffixes or different letter suffixes may represent different examples of similar components. The drawings illustrate generally, by way of example, and not by way of limitation, various embodiments, and together with the description and claims serve to explain the disclosed embodiments. Such embodiments are illustrative and exemplary, and are not intended to be exhaustive or exclusive embodiments of the present system or non-transitory computer readable medium having instructions for implementing the steps performed by the processor of the embodiments of the present application.

Fig. 1 (a) shows a schematic structural diagram of a rehabilitation training system according to an embodiment of the present application.

Fig. 1 (b) shows a schematic diagram of a rehabilitation training system according to an embodiment of the present application used with a near infrared data acquisition device.

FIG. 1 (c) shows a schematic diagram of a training interface of a rehabilitation training system according to an embodiment of the present application.

Fig. 2 shows yet another schematic diagram of a training interface of a rehabilitation training system according to embodiments of the present application.

Fig. 3 shows a flowchart of a method performed by a processor of a rehabilitation training system to alter the rise and fall of a buoyant body according to an embodiment of the present application.

FIG. 4 shows a schematic diagram of a pre-training interface when a training object performs a pre-training task according to an embodiment of the present application.

Detailed Description

In order to better understand the technical solutions of the present application, the following detailed description of the present application is provided with reference to the accompanying drawings and the specific embodiments. Embodiments of the present application will now be described in further detail with reference to the accompanying drawings and specific examples, but are not intended to be limiting of the present application.

The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. As used in this application, the word "comprising" or "comprises" and the like means that elements preceding the word encompass the elements recited after the word, and that no other elements are excluded from the possible coverage. In the present application, the arrows shown in the figures of the respective steps are merely examples of the execution sequence, and the technical solution of the present application is not limited to the execution sequence described in the embodiments, and the respective steps in the execution sequence may be performed in a combined manner, may be performed in a split manner, and may be exchanged in order as long as the logical relationship of the execution content is not affected.

All terms (including technical or scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs unless specifically defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Systems known to those of ordinary skill in the relevant art may not be discussed in detail, but should be considered part of the specification where appropriate.

Fig. 1 (a) shows a schematic structural diagram of a rehabilitation training system according to an embodiment of the present application. In fig. 1 (a), the rehabilitation training system 100 includes an interface 101, a processor 102, a display 103, and a speaker 104. Wherein the interface 101 is configured to acquire blood oxygen concentration data obtained by the training subject based on the acquired near infrared data of the corresponding brain region when performing the rehabilitation task. As shown in fig. 1 (b), in particular, the near infrared data of the corresponding brain region may be acquired by a near infrared data acquisition device 111, the near infrared data acquisition device 111 having at least a headgear 110, the headgear 110 being for wearing on the head of the training subject. For example, the headgear 110 may have a plurality of probes for transmitting near infrared light and/or receiving near infrared light. Wherein each of the plurality of probes may be configured as either a transmitting probe (S) or a receiving probe (D), each pair of paired probes may form a probe channel. In some embodiments, one transmitting probe may correspond to multiple receiving probes, or vice versa, with a pairing relationship corresponding to the specific requirements of the probe's deployment location, brain function area to be detected, etc.

Near infrared data may be acquired for the corresponding brain region when the training subject performs the rehabilitation task using the near infrared data acquisition device 111 or other devices used in conjunction therewith, thereby acquiring near infrared data when the training subject performs the rehabilitation task.

The interface 101 may transmit information and may include, but is not limited to, a network adapter, cable connector, serial connector, USB connector, parallel connector, high speed data transmission adapter, etc., such as fiber optic, USB 3.0, thunderbolt interface (Thunderbolt), etc., a wireless network adapter, such as WiFi adapter, telecommunication (3G, 4G/LTE, etc.) adapter, etc. In some embodiments, the interface 101 may be a network interface and the rehabilitation training system 100 may be connected to a network, such as, but not limited to, a local area network or the internet, through the interface 101.

An interface for displaying on the display 103 relevant information such as a schematic animation of the specific task content that the training object is required to perform and the achievement that the training object obtains when performing the rehabilitation task in the process of performing the rehabilitation task. The content displayed on the display interface of the display 103 dynamically changes in association with the rehabilitation task performed by the training subject. Following the progress of the rehabilitation task on the display interface of the display 103, when switching between different display interfaces, a voice prompt prompting the training object to execute a specific operation task in the rehabilitation task can also be sent to the training object through the loudspeaker 104. Therefore, the training object can execute specific operation tasks in the rehabilitation tasks according to the operation specifications, can know the task of the next stage, and can concentrate on the task to perform rehabilitation training. Specifically, the rehabilitation task at least comprises a training task, and the training task comprises a task which is executed by a user according to the operation schematic or prompt and accords with the operation schematic or prompt content, so that the corresponding brain area is activated, and the purpose of rehabilitation therapy is achieved. The specific training task may be determined by a physician or other operator based on the patient condition of the training subject.

The processor 102 is configured to present a training interface that dynamically changes in association with a current blood oxygen concentration of the training object as the training object performs a training task during execution of the training task, wherein an animation of a cluster operation of the plankton relative to different types of targets is presented in the training interface. The floating body is understood to be an object which can float up and down and has a continuous and gentle movement track, and for example, the floating body can be a fire balloon, a ship, a paper plane, a fish, or the like. According to the embodiment of the application, the floating body is used for realizing feedback, and the floating body carries out gentle lifting movement according to the current blood oxygen concentration when the training object executes the training task, instead of the rapid lifting movement (such as a straight-up and straight-down plane, the feedback animation similar to a helicopter can enable the training object to generate panic and tension emotion related to air accident association, especially for old people patients), so that the mental condition that the training object generates panic, anxiety and worry when executing the training task can be effectively avoided.

In some embodiments of the present application, the training subject is a limb movement disorder patient or an attention deficit disorder patient. In particular, for example, in the case where the training object is a limb dyskinesia patient, the training task performed by the training object may be to imagine a left hand or a right hand continuous grip. In the case where the training object is an attention deficit disorder patient, the training task that the training object may perform may be focusing on the plankton in the training interface.

For ease of understanding, the training task is described below as an example of imagining a left or right hand continuous grip or focusing attention, which is merely an example, but the application is not limited thereto.

Specifically, an interface is presented on the display interface of the display 103 when the training object performs different rehabilitation tasks. For example, when the training subject is a limb dyskinesia patient, the left and right motor brain regions of the training subject, including at least the M1 region primary motor cortex, and/or the S1 region primary torso sensory cortex may be activated during the training subject' S performance of a training task that imagines a left-handed continuous grasp. At this time, near infrared data of the left and right motor brain regions and/or the S1 region primary trunk sensory cortex of the training object are acquired, and the acquired near infrared data are processed to obtain blood oxygen concentration data. When the training object is a patient with attention deficit disorder, near infrared data of the dorsolateral forehead lobe of the training object can be acquired to realize effective training.

During the process of the training object imagining left-hand continuous grasping, the current blood oxygen concentration of the corresponding brain area dynamically changes along with the effort of the training object imagining left-hand continuous grasping, and at this time, as the current blood oxygen concentration rises and falls, the floating body is displayed on the display interface of the display 103 in association with the rising and falling condition of the current blood oxygen concentration.

During the training process, the display interface of the display 103 is a training interface. As shown in fig. 1 (c), in a first area 106 of the training interface 105, the clusters 107 with different types of targets and the floating bodies 108 are displayed, the floating bodies 108 perform lifting movement in response to the current change of the blood oxygen concentration when the training object performs the training task, and the displayed targets with the lifting height are touched by the floating bodies 108 and collected.

Wherein the clusters 107 may be a regular array, and the objects constituting the clusters 107 (such as the circular pattern shown in fig. 1 (c)) may be money, fish, balloons, etc., without limitation. The doctor may set the targets of the cluster 107 according to factors such as gender, age, preference, etc. of the training object, so as to increase the interest of the training object in performing the training task.

The different types of targets may be different values represented by the targets, different energies, different appearances such as shapes and colors, and the like, which are not particularly limited.

In this embodiment, different colors of money are targeted, for example, red money is located at the uppermost layer of the cluster 107, yellow money is located at two layers and below red money, and green money is located at three layers and below yellow money.

Specifically, when the display interface of the display 103 is switched to the training interface 105, at this time, the floating body 108 is forced to be placed at a preset position of the first region 106. The preset position may be a position of the cluster 107 under the cluster, and the preset position may be set by default or set by the user by the rehabilitation training system 100, which is not limited. As the training subject starts to perform the training task of imagining a left-handed continuous grip, the near infrared data acquisition means 111 starts to acquire near infrared data of the corresponding brain region, and the floating body 108 starts to slowly and gently float upward, the training subject slightly starts to imagine, the floating body 108 starts to float upward, the confidence of the training subject to perform the training task is increased, and the space where the floating body 108 rises is large, and the trained subject will struggle to perform the training task so as to raise the floating body 108 as much as possible.

Taking the floating body 108 as a fire balloon as an example, during the process that the training object imagines continuous left hand grasping, the corresponding brain area is activated, and the current blood oxygen concentration changes. If the current blood oxygen concentration is increased, the hot air balloon is stably increased, and in the rising process, the hot air balloon touches money on the corresponding height according to the rising height, and after the money on the corresponding height is touched, the money is collected. The training object would like to be able to collect money at a higher position, e.g. more red money, and would then strive to imagine a left-hand continuous grip. However, if the current blood oxygen concentration is reduced, the balloon is gently lowered accordingly, and thus a corresponding height of money is collected. It will be appreciated that the elevation or depression of the hot air balloon substantially mimics the wave pattern of the blood oxygen concentration data of the patient acquired by the near infrared data acquisition device 111.

Fire balloons are a recreational activity that many people have no opportunity to experience in real life, but often are a longing, and they also have a dream and a hope that they can give the patient a force to recover on a daily basis. The hot air balloon shows that the feeling of people is very steady and the whole position relation can not change (namely the position of the balloon above and the position of the basket below can not change relatively, and the balloon is right above and the basket is right below all the time) in the operation process, so that the mood of a patient can be relaxed, and the tension degree is reduced.

In some embodiments, the cluster 107 may include multiple rows, with the current blood oxygen concentrations required to acquire targets of the same row being the same and the current blood oxygen concentrations required to acquire targets of different rows being different, the current blood oxygen concentrations required to acquire targets relatively above in the cluster 107 being relatively greater. The upper targets of the cluster 107 have a greater value or energy than the lower targets, so that the lower-most targets of the cluster 107 have less appeal to the training object, and the uppermost targets have greater appeal to the training object, thus making it possible for the training object to more strive to raise the buoyant body 108 to acquire the higher-position targets, improving the training effect.

Thus, the rehabilitation training system 100 provided by the application can reduce the psychological pressure of the training object in the process of executing the training task, and the floating body 108 which has continuous and gentle movement track and can float up and down is adopted to realize feedback instead of the rapid lifting movement which is neglected and is neglected, so that the mental condition that the training object generates panic, anxiety and worry in the process of executing the training task can be effectively avoided, and the interest of the training object in the training task is improved through the animation of the running of the floating body 108 relative to the cluster 107. By designing the buoyant body 108 to perform a lifting motion in response to a change in the current blood oxygen concentration of the training subject, the training subject expects to further lift the buoyant body 108 by itself to touch the target of the highest layer of the cluster 107, which largely maintains the training subject's interest in performing the training task. The training object carries out rehabilitation training based on the rehabilitation training system 100, has stronger compliance, and does not have psychological conditions such as anxiety, dysphoria, confidence loss, interest loss and the like in the process of executing the training task, thereby being beneficial to improving the effect of the rehabilitation training.

In some embodiments of the present application, the processor 102 is further configured to display statistics of the number of acquisitions of different types of targets in a second region of the training interface 105, wherein each statistic changes in linkage in response to the buoyant body 108 encountering a different type of target. As shown in fig. 2, statistics of the collected number of different types of targets are displayed in the second area 109, and the targets are exemplified as money, which is classified into gold, silver, and bronze. The gold coins are arranged in one layer and at the uppermost layer of the cluster 107, the silver coins are arranged in two layers and below the gold coins, and the copper coins are arranged in three layers and below the silver coins. In the second area 109, statistics of the collected numbers of gold, silver and copper coins are displayed, respectively. For example, when the current blood oxygen concentration data rises or falls during the execution of the training task, the hot air balloon (as the floating body 108) moves up and down. The clusters 107 move towards the direction of the hot air balloon, the hot air balloon enters the clusters 107, the gold coin, the silver coin or the copper coin with the corresponding height is touched in the lifting process, the collection number of the touched gold coin, silver coin or copper coin is counted, a statistic value is generated, and the statistic value is displayed in the second area 109.

The confidence of the training object is multiplied and more aggressively coordinated with performing the training task as the training object sees a change in the number of different types of objects in the second region 109, especially as the number of higher position objects acquired increases.

Wherein the second area 109 has a smaller duty cycle relative to the training interface 105 than the first area 106 has relative to the training interface 105, and the first area 106 occupies a central area of the training interface 105, and the second area 109 is located in a vicinity of one side of the first area 106. For example, the first region 106 occupies 90% of the area of the training interface 105 and is in the center region, while the second region 109 occupies 5% of the area of the training interface 105 and is in the opposite edge region. During the execution of the training task by the training subject, attention needs to be paid to imagine a left or right hand continuous grip. The first area 106 is located in the middle area of the training interface 105, which is beneficial to enabling the training object to easily observe the movement condition of the floating body 108 relative to the cluster 107, and the second area 109 is smaller than the first area 106 and the second area 109 is located only on one side of the first area 106, so that the attention of the training object can be prevented from being dispersed by the second area 109, and further, higher attention is kept to perform the training task.

In some embodiments of the present application, the rehabilitation task further comprises a resting state task and a pre-training task, the resting state task being configured before the pre-training task and the pre-training task being configured before the training task, such that the training subject activates the corresponding brain region before starting to perform the training task by executing the pre-training task. For example, when the training task is to require the training object to imagine a left-hand or a right-hand continuous grip, the training object is to imagine a left-hand or a right-hand continuous grip in advance before executing the imagining task, and for example, when the training task is to require the training object to focus on the floating body 108 in the training interface 105, the training object is to focus on the target object in the interface in advance before executing the focusing task, so that the corresponding brain area of the training object can be fully activated, and the rehabilitation treatment effect of the training object when executing the formal training task can be improved.

In this embodiment, the processor 102 is further configured to present a pre-training interface corresponding to the operation content of the pre-training task during the execution of the pre-training task by the training object; on the pre-training interface, an animation is presented that teaches the training object to perform a pre-training task. Still taking training tasks as examples to require training subjects to imagine a left-handed continuous grip, the pre-training task is also imagining a left-handed continuous grip. In the pre-training task phase, in which the training object performs a left-handed continuous grip, a pre-training interface is displayed on the display 103, on which an operational schematic animation of the left-handed continuous grip is presented. The training object can clearly know the operation content of the pre-training task to be executed according to the operation schematic animation presented on the pre-training interface. Therefore, through the operation schematic animation displayed on the pre-training interface, the mental conditions of confusion, confusing and anxiety of the training object can be avoided, and the attention of the training object can be kept in the current task, and the corresponding brain area of the training object can be effectively activated.

In some embodiments of the present application, the rehabilitation task further comprises a resting state task configured prior to the pre-training task. The resting state task includes requiring the training object to keep relaxed, and when the training object performs the resting state task, the near infrared data acquisition device 111 may be used to acquire near infrared data of a brain region corresponding to the training object, and analyze and process the near infrared data to obtain resting state blood oxygen concentration data. When the training object finishes the resting state task and starts to execute the pre-training task, the near infrared data of the corresponding brain region of the training object is collected by the near infrared data collection device 111, and the near infrared data is analyzed and processed to obtain the active state blood oxygen concentration data. Of course, when the training object finishes the pre-training task and starts to perform the training task, the near infrared data acquisition device 111 acquires near infrared data when the training object performs the training task and processes the near infrared data to obtain current blood oxygen concentration data.

In some embodiments, the near infrared data acquisition device 111 may transmit the obtained resting state blood oxygen concentration data, active state blood oxygen concentration data, and current blood oxygen concentration data to the rehabilitation training system 100 through the interface 101, where the interface 101 is configured to obtain the resting state blood oxygen concentration data of the training object when performing the resting state task and the active state blood oxygen concentration data when performing the pre-training task, and obtain the current blood oxygen concentration data of the training object when performing the training task during the training task performed by the training object.

The processor 102 is further configured to perform steps S301-S305 as shown in fig. 3. In step S301, a resting state blood oxygen concentration representative value and an active state blood oxygen concentration representative value are obtained based on the resting state blood oxygen concentration data and the active state blood oxygen concentration data, respectively. In step S302, a current blood oxygen concentration representative value is obtained based on the current blood oxygen concentration data. For example, the average value of the blood oxygen concentration in the preset period of each task stage may be selected as the representative value based on the resting blood oxygen concentration data, the active blood oxygen concentration data, and the current blood oxygen concentration data, respectively. In one embodiment, the average value of the blood oxygen concentration in the middle and late stages of a resting or pre-training task may be obtained as an active blood oxygen concentration representative value, because the blood oxygen concentration data changes relatively slowly relative to other physiological data (e.g., electroencephalogram data), and the blood oxygen concentration data of the trainee generally reaches a higher value after a period of time after the trainee begins to perform a training task, i.e., there is a certain rise. Taking this as an example only, other methods of obtaining the representative value are not excluded. Taking this as an example only, other methods of obtaining the representative value are not excluded.

In step S303, the first deviation between the representative value of the active state blood oxygen concentration and the representative value of the resting state blood oxygen concentration is the change of the active state blood oxygen concentration, in step S304, the second deviation between the representative value of the current blood oxygen concentration and the representative value of the resting state blood oxygen concentration is the change of the current blood oxygen concentration, in step S305, the height of the suspended solids 108 is dynamically changed based on the comparison result of the change of the current blood oxygen concentration relative to the product of the change of the active state blood oxygen concentration and the difficulty coefficient, in a specific embodiment, such as formula (1) or formula (2):

equation (1).

Equation (2).

In the formulas (1) and (2), H represents a ratio of the height of the floating body 108 to the total height of the cluster 107 to determine the position of the floating body. When it is determined that the lateral position of the floating body 108 is the same as the target, the closer the longitudinal position of the floating body 108 is to which target, which target is collected. K is a difficulty coefficient to reflect the magnitude of difficulty that a training subject would raise the plankton 108 by performing a training task to collect the target at the highest level of the cluster 107, the greater the K, the greater the difficulty.

Wherein the total height of the cluster 107 is unchanged, the total height of the cluster 107 and the heights of each layer of the cluster 107 are compared after normalization processing, and the absolute value of K (active state blood oxygen concentration representative value-resting state blood oxygen concentration data representative value) or K (active state blood oxygen concentration representative value-resting state blood oxygen concentration data representative value) corresponds to the total height of the cluster 107, and the larger the K is, the higher the change of the current blood oxygen concentration is required to reach the target height of the same layer. For patients with limb movement disorder, negative activation may occur when rehabilitation training is performed, and the inventor has verified that, for the patients, the negative activation is also an activation mode capable of representing the rehabilitation state (namely, a brain region activation mode in the case that the active state blood oxygen concentration representative value or the current blood oxygen concentration representative value is lower than the resting state blood oxygen concentration representative value), so that for the patients, the activation mode cannot be ignored, and only positive activation (namely, a brain region activation mode in the case that the active state blood oxygen concentration representative value or the current blood oxygen concentration representative value is higher than the resting state blood oxygen concentration representative value) can be blindly considered to be performed for effective training. In one embodiment, equation (1) may be used to calculate the height H of the buoyant body 108. For patients with attention deficit disorder, the inventors have experimentally verified that negative activation is not able to characterize their rehabilitation status for this class of patients. In one embodiment, equation (2) may be used to calculate the height H of the planktonic body 108 during training of the attention deficit disorder patient. Wherein, the floating body 108 runs within the height range of the cluster 107, and even if the height corresponding to the current blood oxygen concentration of the training object when executing the training task is not within the height range of the cluster 107, the floating body 108 is forced to be within the height range of the cluster 107, so that the floating body 108 can always acquire the target when running to the cluster 107, the confidence and interest of the rehabilitation training of the training object can be enhanced, and the training effect is improved.

It should be noted that, the formula (1) and the formula (2) are only examples given in the application for setting rehabilitation training task parameters for two different patients, but the application is not limited thereto, and those skilled in the art can adjust the formula (1) and the formula (2) according to clinical scene requirements.

In some embodiments of the present application, the training tasks include a predetermined number of training subtasks, between which a rest task may be located, where the predetermined number may be set by default by the rehabilitation training system 100 or may be set by the user. For example, a training task is to require the training subject to imagine a left-handed continuous grip. For example, the training task includes 4 training subtasks, and a rest task is located between every two training subtasks, that is, includes 3 rest tasks. In a specific embodiment, the training task phase further includes an initial phase (i.e., a preset period of time to start the training task), a phase in which the floating body 108 is up and down and does not contact the cluster 107 (i.e., a preset period of time before the initial phase ends until the floating body 108 contacts the cluster 107), a phase in which the floating body 108 contacts and enters the cluster 107, and an end phase (i.e., a phase in which the floating body 108 leaves the cluster 107). The initial stage may be a preset period of time after the rest task ends and the ending stage may be a period of time before the floating body 108 leaves the cluster 107 stage to the rest task begins.

The processor 102 is further configured to: and adjusting a reference difficulty coefficient which is adaptive to the lifting difficulty of the floating body 108 according to the change condition of the statistical value of the collection quantity of different types of targets or the lifting condition of the floating body 108 when the training object executes the training task. Specifically, the collection number of the targets touched by the floating body 108 is counted when the training object performs each training subtask or each training task (including a plurality of training subtasks), and the targets are gold, silver and copper. If the processor 102 counts that the number of collected gold coins is highest and no copper coins are collected when the training object performs the first round of training subtasks or each time of training tasks, or the number of collected gold coins exceeds a set threshold, the processor 102 can judge that the floating body 108 is easier to rise under the current difficulty coefficient, the current difficulty coefficient is lower, and a better rehabilitation training effect cannot be achieved. Then, before the training object performs the second training sub-task or before the current training task is performed and the training object performs the next training task, the difficulty coefficient may be adjusted to increase the difficulty of raising the floating body 108, thereby improving the effect of rehabilitation therapy. Taking this as an example only, the change condition of the statistical value is not particularly limited.

Next, the difficulty coefficient of the training subtask of each round may be adjusted according to the lifting/lowering condition of the floating body 108. For example, if the processor 102 detects that the time for which the suspended solids 108 are at a lower level exceeds a preset time, then it is indicated that the current difficulty factor is higher and that it is difficult for the suspended solids 108 to rise, so the difficulty factor may be reduced before the next training subtask is performed by the training object or before the next training task is performed by the training object after the current training task is performed.

Alternatively, the processor 102 receives the configuration of the adjustment of the difficulty coefficient by the user, that is, the doctor may determine the current difficulty coefficient by observing the statistics of the collection number of different types of targets or the time of the floating body 108 at the height level in the process of performing each training task by the training object, so as to adjust and configure the difficulty coefficient.

In the process of executing the training task by the training object, if the difficulty coefficient is high, the rising difficulty of the floating body 108 is high, and the floating body is easy to be at a low height for a long time, so that the target with a higher position cannot be obtained. The confidence of the training object is greatly reduced, the matching degree of the training object is reduced, the training object is easy to generate a dysphoria emotion, and the rehabilitation training effect is not improved. Therefore, the customizing of the personalized training tasks of different training objects is realized by adjusting the difficulty coefficient, the confidence of the training objects to execute the training tasks to acquire higher targets is greatly improved, and the rehabilitation training effect can be improved based on the personalized customizing of the training tasks.

In some embodiments of the present application, the processor 102 is further configured such that the height of the object displayed in the first region 106 of the training interface 105 is fixed, that is, the overall height of the clusters 107 in the first region 106 is fixed, and the line spacing between each line in the clusters 107 is fixed. The height of the target may be set by default, which is not limited. In this embodiment, the blood oxygen concentration required to reach targets of different heights is determined based on the change in the active blood oxygen concentration and the difficulty coefficient, and based thereon, the targets that the floating body 108 can reach and collect are determined.

In a specific embodiment, assuming that the difficulty factor of the training object to perform the first training subtask is 5, based on the change of the active blood oxygen concentration and the difficulty factor, according to the formula (1), the proportion of the floating body 108 in the total height of the cluster 107 may be determined, so as to determine the target that the floating body 108 can touch and collect. If the doctor finds that the floating body 108 is always at the threshold height of the cluster 107 when the training object performs the first training subtask, it indicates that the difficulty factor 5 of the first training subtask is lower, and the difficulty factor can be increased to 10. After the difficulty factor is increased, the training subject needs to raise the suspended matter 108 to a position of a threshold height by performing the training task, and then needs to perform the training task with higher effort. Thus, personalized customization of training tasks executed by different training objects is realized, and the training compliance is improved.

In some embodiments of the present application, the processor 102 is further configured to: and judging whether to finish the pre-training task to prepare to enter the training task based on the change of the active blood oxygen concentration, and if the change of the active blood oxygen concentration reaches a preset value, preparing to enter the training task, wherein the higher activation degree of the corresponding brain region of the training object is indicated. If the change of the active state blood oxygen concentration does not reach the preset value, repeatedly presenting the animation for teaching the training object to execute the pre-training task, sending a prompt for prompting that the training object does not meet the condition for executing the training task and continuously executing the pre-training task to the training object, and judging whether the condition for entering the training task is reached again after the animation of the pre-training task is ended. In some embodiments, the user (e.g., physician) may end the rehabilitation training if the condition has not been reached after multiple determinations. In the prior art, the rehabilitation training system does not set the condition for entering the training task, but directly performs rehabilitation training on the training object, and the method sets the entering condition before the training task, based on the entering condition, a user can know the activation condition of the relevant brain region of the training object before the training task is performed, if the condition for entering the training task is not met, the current training task indicates that the activation condition of the relevant brain region of the training object is poor, for example, the current training task is not activated, and the training object is not operated according to the rest state task and the prompt of the pre-training task, namely, the training object can have the phenomenon of being not matched, even if the training object is trained, the relevant brain region of the training object can not be effectively activated, if the condition for entering the training task is met, the pre-training task indicates that the relevant brain region of the training object has certain activation, the training object can be further entered into the training task to perform effective rehabilitation training treatment, and the training efficiency and the training effectiveness are improved.

In one embodiment, for rehabilitation training of a patient with limb movement disorder, the preset value may be a resting state blood oxygen concentration representative value, and based on consideration of negative activation, if the absolute value of the change of the active state blood oxygen concentration is greater than the preset value, the patient with limb movement disorder is prepared to enter a training task. For rehabilitation training of patients with attention deficit disorder, the preset value may be 0, that is, as long as the representative value of the active blood oxygen concentration is greater than the representative value of the resting blood oxygen concentration, the patients with attention deficit disorder are ready to enter a training task. It is understood that the conditions regarding whether to let the training object enter the training task are only conditions set by the inventor for two different patients with diseases in the clinical application scenario, and the person skilled in the art can adjust the conditions according to actual clinical requirements.

As shown in fig. 4, the

pre-training interfaces

401 and 402 are sequentially and dynamically presented with animation of continuous left-hand gripping, if the change of the active blood oxygen concentration of the training object reaches a preset value in the process of performing continuous left-hand gripping, the pre-training task is ended, the training task is ready to enter a training task stage, and if the preset value is not reached, the pre-training interfaces continue to repeatedly present the animation of continuous left-hand gripping shown by the

pre-training interfaces

401 and 402. At the same time, the system sends out a voice prompt of 'please continue to carry out left-hand continuous grasp', so that the training object can clearly carry out the task without the lost psychological state.

In some embodiments of the present application, the rehabilitation task further includes a rest task, between two adjacent training subtasks, where the training object executes the rest task, specifically, after the training object completes one training subtask, the training object enters a stage of the rest task, and in one training task, by means of alternate execution of the training subtask and the rest task, the training object is prevented from executing the training task for a long time to generate negative emotions such as interference, anxiety, dysphoria, etc., so that the training object maintains a higher training interest, and the training effect is improved. When the training object performs each training subtask, a text prompt and/or a voice prompt prompting the training object to finish the training task is presented in the first area 106 of the training interface to prompt the training object to perform the rest task. For example, a text prompt or voice prompt of "rest task" or "task end" is presented at the end position of each training subtask. Therefore, the training object can clearly and definitely finish the current training subtask according to the text prompt and/or the voice prompt, so that the training object is prevented from entering a panic psychological condition.

In some embodiments of the present application, in a third area (not shown in the figure) of the training interface 105, a first timeline for performing the respective training subtasks with respect to the training object and a second timeline for performing the rest tasks are displayed. The third region is located in a vicinity of one side of the first region 106, and the third region occupies a smaller proportion of the training interface 105 than the first region 106 occupies the training interface 105, so as to avoid distraction of the training object by the third region. For example, the third region is located above the first region 106. In the process that the training object executes each training subtask, correspondingly, a first time progress bar and a second time progress bar of the rest task are displayed in a third area to respectively reflect the real-time progress and the residual time of the training object for executing the training subtask, the rest task, so that the training object does not have too much pressure, and meanwhile, when the training subtask, the rest task or the training subtask is ended, abrupt feeling is not generated, and the training object generates anxiety.

In some embodiments of the present application, the processor 102 is further configured such that the buoyant body 108 is forced to a preset position that is offset downward relative to the target cluster 107 while the buoyant body 108 is in the initial stage, the end stage, and the rest stage of each training subtask, and the buoyant body 108 does not undergo lifting movement with changes in the current blood oxygen concentration of the training subject. In one embodiment, returning to FIG. 1 (c), when the buoyant body 108 is a fire balloon, the bottommost portion of the fire balloon is on the same level as the target location of the lowermost layer of the cluster 107 when starting to enter the initial stage of the training subtask. At this time, when the training object slightly starts to imagine left-hand continuous gripping, the hot air balloon can be lifted, so that the confidence of the training object in executing the training task is improved.

For the situation that rehabilitation training of a patient with limb movement disorder may be negatively activated, the floating body 108 may be forced to be placed at a preset position which is lower than the target cluster 107 but not the lowest, for example, the target cluster 107 includes 5 layers of targets altogether, and the floating body 108 is placed at the initial stage and the end stage of each training subtask and at the position of the second layer from bottom to top when each rest task, so that it is ensured that the floating body 108 has a space to descend when the rehabilitation training is negatively activated. For patients with attention deficit disorder, the floating body 108 may be placed at the lowest level of the cluster 107 at the initial stage, the end stage of each training subtask, and each rest task, to ensure that there is enough rise space.

In some embodiments of the present application, the processor 102 is further configured to: a predetermined time is set before the initial stage of the training subtask ends until the floating body 108 contacts the cluster, and the floating body 108 performs a lifting motion in response to a change in the current blood oxygen concentration of the training object while performing the training task for the predetermined time.

Specifically, the clusters 107 may not be displayed on the corresponding interfaces at the initial stage, the end stage, and the rest tasks of each training subtask, only the floating bodies 108 that do not float up and down are displayed, and after the end of the initial stage of each training subtask until a predetermined time before the clusters 107 appear, the floating bodies 108 perform a lifting motion in response to a change in the current blood oxygen concentration of the training object when the training task is performed during the predetermined time, but the clusters 107 do not appear during the predetermined time. It will be appreciated that the blood oxygen concentration of the training subject is relatively slow relative to other physiological data (e.g. electroencephalographic data), and the blood oxygen concentration value of the training subject can generally reach a higher value after a period of time after the training subject begins to perform a training task, that is, a certain rising process exists, a predetermined time is set after the initial stage of each training subtask ends until the occurrence of the cluster 107, and the floating body 108 is allowed to perform a rising and falling motion in the predetermined time in response to the current change of the blood oxygen concentration of the training subject while the training task is performed, so that, on one hand, the floating body 108 is in a rising state or is already in a higher state when the cluster 107 occurs, that is, more targets are acquired by being touched by the floating body 108, and are visually presented to the training subject in a more aggressive and encouraging form, so that the confidence that the training subject performs the training task to obtain more targets is increased, and, on the other hand, the setting can increase the smoothness between the pre-training task and the rest task and the sub-training task, so that the training subject can always keep a higher interest in training.

Meanwhile, when the training object is in the ending stage of the training subtask, the training task is ended, and the hot air balloon does not need to be continuously lifted. Or, when the rest task stage is just entered, even if the training object still has motor imagination, the hot air balloon still cannot be lifted.

In some embodiments of the present application, the processor 102 is further configured to: when the training object performs a training subtask, the floating body 108 leaves the last column of the cluster 107 to the preset position at a first preset speed. Specifically, the training object does not immediately drop down the float 108 upon completion of the training subtask, but continuously and gently leaves the last column of the cluster 107 at a first preset speed and is forced to reach a preset position. Therefore, the training object can keep a relaxed and stable psychological condition, and psychological collapse caused by sudden drop of the floating body 108 can not be avoided, so that subsequent training tasks can not be continued. The first preset speed and the preset position may be default by the system or may be set by the user, which is not limited.

In some embodiments of the present application, the cluster 107 moves toward the floating body 108 at a second preset speed, such that the floating body 108 leaves the last column of the cluster 107 when the training object performs the training subtask. For example, for a total of 20 columns of clusters 107 for each training subtask, the time for a plankton 108 to enter the cluster 107 to leave the last column of clusters 107 is 30s training time and 20s rest time, the position of the plankton 108 at the training interface 105 is unchanged, the clusters move toward the plankton 108, and the 10 columns of targets occupy one training interface 105, and in one embodiment, the second preset speed may be determined based on the length of the training interface 105 and the initial distance from the first column of clusters 107 to the plankton 108 and the preset time. In this way, the moving speed of the cluster 107 can be matched with the acquisition process of the near infrared data acquisition device 111, and the accuracy of the obtained blood oxygen concentration data is improved. The number of rows and the number of columns of the targets in the cluster 107 in the training interface 105 need to be reasonably set, so as to reduce the psychological stress of the training object during training as much as possible, and maintain the training interest, so as to improve the training effect, for example, if the targets are arranged too densely, the time interval for the floating body 108 to acquire the targets is too short, which results in a larger psychological stress of the training object, and if the targets are arranged too sparsely, the floating body 108 cannot acquire more targets, which results in a negative psychological stress such as a decrease in the training interest of the training object.

In some embodiments of the present application, the processor 102 is further configured to: and in the process that the training object executes any task of the rehabilitation task, sending a text prompt and/or a voice prompt for prompting the training object to execute the task requirement of the current task. For example, the system may send a voice prompt and/or text prompt requesting "keep relaxed" to the training subject while the training subject performs a rest state task, and may send a voice prompt and/or text prompt requesting "imagine a continuous left hand grasp" to the training subject while the training subject performs a pre-training task. Therefore, the mental condition that the training object is in a panic state can be avoided, and the training object can be stably transited to the next task stage.

The processor 102 may be a processing device including one or more general-purpose processing devices, such as a microprocessor, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), and the like. More specifically, the processor may be a Complex Instruction Set Computing (CISC) microprocessor, a Reduced Instruction Set Computing (RISC) microprocessor, a Very Long Instruction Word (VLIW) microprocessor, a processor running other instruction sets, or a processor running a combination of instruction sets. The processor may also be one or more special purpose processing devices such as an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), a system on a chip (SoC), or the like.

The present application describes various operations or functions that may be implemented or defined as software code or instructions. Such content may be source code or differential code ("delta" or "patch" code) ("object" or "executable" form) that may be executed directly. The software code or instructions may be stored in a computer readable storage medium and, when executed, may cause a machine to perform the functions or operations described and include any mechanism that stores information in a form accessible by a machine (e.g., computing device, electronic system, etc.), such as recordable or non-recordable media (e.g., read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media, optical storage media, flash memory devices, etc.).

The exemplary methods described herein may be implemented at least in part by a machine or computer.

In some embodiments, a computer readable storage medium is provided, the computer readable storage medium storing a computer program for fmirs-based rehabilitation training, the computer program when executed by the processor 102 causing the processor 102 to perform a process of presenting a training interface that dynamically changes in association with a current blood oxygen concentration of a corresponding brain region of the training subject when the training subject performs a training task during which the training interface presents an animation of a running of a plankton 108 relative to a cluster 107 of different types of targets, specifically comprising: in the first area 106 of the training interface, the clusters 107 with different types of targets and the floating bodies 108 are displayed, the floating bodies 108 perform lifting motion corresponding to the change of the current blood oxygen concentration of the brain area when the training object performs a training task, and the displayed targets with the lifting height are touched by the floating bodies 108 and collected. The computer programs, when executed by the processor 102, may cause the processor 102 to perform the fmirs-based rehabilitation training process, steps or portions of the processes described in accordance with various embodiments of the present application, which are not described in detail herein.

The above-described processes performed by the processor 102 may be implemented using software code, including, for example, microcode, assembly language code, higher-level language code, or the like. Various software programming techniques may be used to create various programs or program modules. For example, program portions or program modules may be designed in or with the aid of Java, python, C, C ++, assembly language, or any known programming language. One or more of such software portions or modules may be integrated into a computer system and/or computer readable medium. Such software code may include computer readable instructions for performing various methods. The software code may form part of a computer program product or a computer program module. Furthermore, in examples, the software code may be tangibly stored on one or more volatile, non-transitory, or non-volatile tangible computer-readable media, such as during execution or at other times. Examples of such tangible computer-readable media may include, but are not limited to, hard disks, removable magnetic disks, removable optical disks (e.g., optical disks and digital video disks), magnetic cassettes, memory cards or sticks, random Access Memories (RAMs), read Only Memories (ROMs), and the like.

Furthermore, although exemplary embodiments have been described herein, the scope thereof includes any and all embodiments having equivalent elements, modifications, omissions, combinations (e.g., of the various embodiments across), adaptations or alterations as pertains to the present application. Elements in the claims are to be construed broadly based on the language employed in the claims and are not limited to examples described in the present specification or during the practice of the present application, which examples are to be construed as non-exclusive. It is intended, therefore, that the specification and examples be considered as exemplary only, with a true scope and spirit being indicated by the following claims and their full scope of equivalents.

The above description is intended to be illustrative and not restrictive. For example, the above-described examples (or one or more aspects thereof) may be used in combination with each other. For example, other embodiments may be used by those of ordinary skill in the art upon reading the above description. In addition, in the above detailed description, various features may be grouped together to streamline the application. This is not to be interpreted as an intention that the disclosed features not being claimed are essential to any claim. Rather, the subject matter of the present application is capable of less than all of the features of a particular disclosed embodiment. Thus, the claims are hereby incorporated into the detailed description as examples or embodiments, with each claim standing on its own as a separate embodiment, and it is contemplated that these embodiments may be combined with one another in various combinations or permutations. The scope of the application should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.

The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application, the scope of which is defined by the claims. Various modifications and equivalent arrangements may be made to the present application by those skilled in the art, which modifications and equivalents are also considered to be within the scope of the present application.

Claims

1. An fnigs-based rehabilitation training system, comprising:

an interface configured to: acquiring blood oxygen concentration data obtained by a training object based on the acquired near infrared data of a corresponding brain region when the training object executes a rehabilitation task, wherein the rehabilitation task at least comprises a training task; and

a processor configured to:

in the process that the training object executes the training task, presenting a training interface which is dynamically changed in association with the current blood oxygen concentration when the training object executes the training task, and in the training interface, presenting animation of cluster operation of a plankton relative to different types of targets, wherein the animation specifically comprises the following steps:

and displaying the clusters with different types of targets and the floating bodies in a first area of the training interface, wherein the floating bodies perform lifting movement in response to the change of the current blood oxygen concentration of the training object when the training object performs a training task, and the displayed targets with the lifting height are touched by the floating bodies and are collected.

2. The rehabilitation training system according to claim 1, wherein the rehabilitation tasks further comprise a resting state task and a pre-training task, the resting state task being configured before the pre-training task and the pre-training task being configured before the training task, the interface being configured to:

acquiring resting state blood oxygen concentration data of the training object when the resting state task is executed and active state blood oxygen concentration data of the training object when the pre-training task is executed; and

acquiring current blood oxygen concentration data of the training object when the training object executes a training task in the process of executing the training task by the training object;

the processor is further configured to:

based on the resting state blood oxygen concentration data and the active state blood oxygen concentration data, respectively obtaining a resting state blood oxygen concentration representative value and an active state blood oxygen concentration representative value;

obtaining a current blood oxygen concentration representative value based on the current blood oxygen concentration data;

the first deviation of the representative value of the active blood oxygen concentration and the representative value of the resting blood oxygen concentration is the change of the active blood oxygen concentration;

the second deviation of the representative value of the current blood oxygen concentration and the representative value of the resting state blood oxygen concentration is the change of the current blood oxygen concentration;

Dynamically changing the height of the floating body lifting based on the comparison result of the current blood oxygen concentration change relative to the product of the active blood oxygen concentration change and the difficulty coefficient.

3. The rehabilitation training system of claim 2 wherein the processor is further configured to:

determining whether to end the pre-training task to prepare for entering a training task based on the change in the active blood oxygen concentration,

if the change of the active blood oxygen concentration reaches a preset value, preparing to enter a training task; and if the change of the active blood oxygen concentration does not reach the preset value, repeatedly presenting the animation for teaching the training object to execute the pre-training task, and simultaneously sending a prompt for prompting that the training object does not meet the condition for executing the training task and continuing to execute the pre-training task.

4. A rehabilitation training system according to claim 3, characterized in that the training subject is a limb movement disorder patient and/or an attention deficit disorder patient;

when the training object is a limb dyskinesia patient, the preset value is a resting state blood oxygen concentration representative value, and if the absolute value of the change of the active state blood oxygen concentration is larger than the preset value, a training task is prepared to be entered; or alternatively, the first and second heat exchangers may be,

And when the training object is a patient with attention deficit disorder, preparing to enter a training task if the representative value of the active state blood oxygen concentration is larger than the representative value of the resting state blood oxygen concentration.

5. The rehabilitation training system according to any of claims 1-4, wherein the rehabilitation task further comprises a rest task, said training task comprising at least one training subtask, two of said training subtasks comprising a rest task therebetween, the processor being further configured to: when the floating body is in the initial stage, the end stage and the rest tasks of the training subtasks, the floating body is forced to be placed at a preset position which is deviated downwards relative to the target cluster, and the floating body does not move up and down along with the current blood oxygen concentration change of the training object.

6. The rehabilitation training system of claim 5 wherein the processor is further configured to: when the training object performs the training subtask, the floating body leaves the last column of the cluster to the preset position at a first preset speed.

7. The rehabilitation training system according to claim 5, wherein the clusters are moved towards the buoyant body at a second preset speed such that the buoyant body leaves the last column of the clusters when the training object has performed a training subtask.

8. The rehabilitation training system according to any of claims 1-4, wherein the training task comprises at least one training subtask, the training subtask comprising an initial phase, the processor being further configured to: a predetermined time is set before the initial stage of the training subtask ends until the floating body contacts the clusters, and the floating body moves up and down in response to the change of the current blood oxygen concentration of the training object when the training task is executed in the predetermined time.

9. The rehabilitation training system of any of claims 1-4 wherein the processor is further configured to: according to the change condition of the statistical value of the collection quantity of different types of targets or the lifting condition of the floating body when the training object executes the training task, the difficulty coefficient of adapting to the lifting difficulty of the floating body is adjusted; or receiving configuration for adjusting the difficulty coefficient by a user.

10. The rehabilitation training system of claim 1 wherein the processor is further configured to: the height of the object displayed in the first area of the training interface is fixed,

The current blood oxygen concentration required for touching targets with different heights is determined based on the change of the active blood oxygen concentration and the difficulty coefficient, and the targets which can be touched and collected by the plankton are determined based on the current blood oxygen concentration.

11. The rehabilitation training system of any of claims 1-4 wherein the processor is further configured to:

displaying statistics of the collection number of different types of targets in a second area of the training interface, wherein each statistics changes in a linkage manner in response to the floating body touching the different types of targets;

the second area has a smaller duty ratio relative to the training interface than the first area, and occupies a central area of the training interface, and the second area is located in a vicinity of one side of the first area.

12. The rehabilitation training system of any of claims 2-4 wherein the processor is further configured to:

presenting a pre-training interface corresponding to the operation content of the pre-training task in the process that the training object executes the pre-training task;

on the pre-training interface, an animation is presented that teaches the training object to perform a pre-training task.

13. A computer readable storage medium, wherein the computer readable storage medium stores a computer program for fmirs-based rehabilitation training, which when executed by a processor, causes the processor to perform the following processing:

in the process that the training object executes the training task, a training interface which is dynamically changed in association with the current blood oxygen concentration of the corresponding brain area when the training object executes the training task is presented, and in the training interface, an animation of cluster operation of a plankton relative to different types of targets is presented, wherein the animation specifically comprises the following steps:

and displaying the clusters with different types of targets and the floating bodies in a first area of the training interface, wherein the floating bodies perform lifting movement corresponding to the change of the current blood oxygen concentration of a brain region when the training object performs a training task, and the displayed targets with the lifting height are touched by the floating bodies and are collected.