Rehabilitation training management method for stroke patient and related equipment

Abstract

According to the rehabilitation training management method for the stroke patient and the related equipment, scientific management planning can be carried out on rehabilitation training of the stroke patient, and the stroke patient is helped to recover the behavior ability as soon as possible. The method comprises the following steps: determining a user role of each user in N users, wherein the N users are a plurality of users including target cerebral apoplexy patients and corresponding to the target cerebral apoplexy patients; determining a current target stage of the target cerebral apoplexy patient; m rehabilitation training tasks of the target stroke patient in the target stage are determined according to the user role of each user in the N users, and M is an integer larger than or equal to 1; collecting target attribute data of the target stroke patient after the M rehabilitation training tasks are executed; and determining a target rehabilitation condition of the target stroke patient in the target stage according to the target attribute data.

Description

Technical Field

[0001] The present invention relates to the field of patient rehabilitation training, and in particular to a rehabilitation training management method for stroke patients and related equipment. Background Art

[0002] As the aging of the Chinese population gradually intensifies, stroke has become the leading cause of disability and death in my country. Rehabilitation training is the most effective way to reduce the disability rate of stroke, but there is no unified standard for how to implement and maintain the standardized and continuous implementation of rehabilitation.

[0003] Some scholars have proposed the Timing It Right (TIR) ​​model, which is an organized development and evaluation intervention method to guide hospitals and other institutions to provide timely health education and support to meet the changing support needs of stroke family caregivers. Summary of the invention

[0004] The embodiment of the present invention provides a rehabilitation training management method and related equipment for stroke patients, which can carry out scientific management planning for the rehabilitation training of stroke patients and help stroke patients recover their behavioral abilities as soon as possible.

[0005] The first aspect of the present invention provides a method for rehabilitation training management of stroke patients, comprising:

[0006] Determining a user role of each user among N users, where the N users are a plurality of users including a target stroke patient and corresponding to the target stroke patient;

[0007] determining the target stage that the target stroke patient is currently in;

[0008] Determining M rehabilitation training tasks for the target stroke patient at the target stage according to the user role of each user among the N users, wherein M is an integer greater than or equal to 1;

[0009] Collecting target attribute data of the target stroke patient after the M rehabilitation training tasks are performed;

[0010] The target rehabilitation status of the target stroke patient at the target stage is determined according to the target attribute data.

[0011] A second aspect of the present invention provides a rehabilitation training management device for stroke patients, comprising:

[0012] A first determination module is used to determine a user role of each user among N users, wherein the N users are multiple users including a target stroke patient and corresponding to the target stroke patient;

[0013] A second determination module is used to determine the target stage that the target stroke patient is currently in;

[0014] A third determination module is used to determine M rehabilitation training tasks for the target stroke patient at the target stage according to the user role of each user among the N users, wherein M is an integer greater than or equal to 1;

[0015] A collection module, used for collecting target attribute data of the target stroke patient after the M rehabilitation training tasks are performed;

[0016] The fourth determination module is used to determine the target rehabilitation status of the target stroke patient at the target stage according to the target attribute data.

[0017] In one possible design, the third determining module is further used to:

[0018] Generating a timely demand questionnaire corresponding to the target stroke patient, wherein the timely demand questionnaire includes the patient demand at each stage in a plurality of stages;

[0019] receiving a first operation instruction of a target auxiliary user corresponding to the target stroke patient on the timely demand questionnaire;

[0020] Respond to the first operating instruction, and determine the patient needs of the target stroke patient in each of the multiple stages according to the first operating instruction.

[0021] In a possible design, the third determining module is specifically used to:

[0022] determining patient needs of the target stroke patient at the target stage;

[0023] The M rehabilitation training tasks are determined according to the patient's needs and the user role of each of the N users.

[0024] In one possible design, the multiple stages include an acute phase, a stable phase, a preparatory phase, an adjustment phase and an adaptation phase. The rehabilitation training tasks corresponding to the acute phase include good posture and passive joint training. The rehabilitation training tasks corresponding to the stable phase include neurophysiological training, bed turning training, sitting balance training, sitting transfer, walking training, stair climbing and downstairs training and daily living ability training. The rehabilitation training tasks corresponding to the preparation phase include sitting transfer, walking training, stair climbing and downstairs training, daily living ability training, gait improvement training and the use of assistive devices. The training tasks corresponding to the adjustment phase include limb and language rehabilitation training, physical exercise and physical activity, and psychological care. The rehabilitation training tasks corresponding to the adaptation phase include self-care ability training, role reshaping training and emotion regulation training.

[0025] In a possible design, the fourth determining module is specifically used to:

[0026] Acquiring attribute data and the rehabilitation status of a sample stroke patient at each of the multiple stages, wherein the sample stroke patient is any one of the multiple stroke patients corresponding to the target stroke patient;

[0027] Preprocessing the attribute data and the rehabilitation status;

[0028] Inputting the preprocessed attribute data and the rehabilitation status into a neural network model for training until a preset iteration termination condition is reached to obtain a rehabilitation recognition model;

[0029] The target attribute data is input into the rehabilitation identification model to obtain the target rehabilitation status.

[0030] In a possible design, the fourth determining module is further used to:

[0031] The target attribute data and the target stage are displayed, and a corresponding second operation instruction is received, where the second operation instruction is an operation instruction for determining an actual rehabilitation status of the target stroke patient at the target stage;

[0032] determining the actual recovery status of the target stroke patient at the target stage according to the second operation instruction;

[0033] determining a target difference between the actual recovery condition and the target recovery condition;

[0034] The rehabilitation identification model is adjusted according to the target difference.

[0035] In one possible design, the third determining module is further used to:

[0036] Real-time monitoring of various physical indicators of the target stroke patient during the execution of the M rehabilitation training tasks;

[0037] The rehabilitation training tasks of the next stage corresponding to the target stage are adjusted according to the various physical indicators.

[0038] A third aspect of the present invention provides an electronic device, comprising a memory and a processor, wherein the processor is used to implement the steps of the rehabilitation training management method for stroke patients as described in the first aspect when executing a computer management program stored in the memory.

[0039] A fourth aspect of the present invention provides a computer-readable storage medium having a computer management program stored thereon, which, when executed by a processor, implements the steps of the rehabilitation training management method for stroke patients as described in the first aspect above.

[0040] In summary, it can be seen that in the embodiments provided by the present invention, the entire disease development process of the stroke patient is monitored in real time, and the corresponding rehabilitation training tasks are generated, thereby guiding the stroke patient to perform the corresponding rehabilitation training tasks at each stage, assisting the stroke patient in rehabilitation training, and collecting the attribute data of the stroke patient after training, and then determining the rehabilitation status of the stroke patient according to the attribute data. Thus, scientific management planning can be carried out for the rehabilitation training of the stroke patient, helping the stroke patient to recover the behavioral ability as soon as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of a flow chart of a method for managing rehabilitation training for stroke patients provided by an embodiment of the present invention;

[0042] Figure 2 A schematic diagram of a timely demand questionnaire for stroke patients provided in an embodiment of the present invention;

[0043] Figure 3 A virtual structural diagram of a rehabilitation training management device for stroke patients provided by an embodiment of the present invention;

[0044] Figure 4 A schematic diagram of the hardware structure of a rehabilitation training management device for stroke patients provided by an embodiment of the present invention;

[0045] Figure 5 A schematic diagram of an electronic device according to an embodiment of the present invention;

[0046] Figure 6 A schematic diagram of an embodiment of a computer-readable storage medium provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0048] In the following description, specific embodiments of the present invention will be described with reference to steps and symbols performed by one or more computers, unless otherwise stated. Therefore, these steps and operations will be mentioned several times as being performed by a computer, and computer execution referred to herein includes operations by a computer processing unit of electronic signals representing data in a structured form. This operation converts the data or maintains it at a location in the computer's memory system, which can be reconfigured or otherwise change the operation of the computer in a manner familiar to testers in the field. The data structure maintained by the data is a physical location in the memory, which has specific characteristics defined by the data format. However, the principles of the present invention are described in the above text, which does not represent a limitation, and testers in the field will understand that the various steps and operations described below can also be implemented in hardware.

[0049] The principles of the present invention operate with many other general or special purpose computing, communication environments or configurations. Examples of well-known computing systems, environments and configurations suitable for use with the present invention may include, but are not limited to, handheld phones, personal computers, servers, multiprocessor systems, microcomputer-based systems, mainframe computers, and distributed computing environments, including any of the above systems or devices.

[0050] The terms "first", "second", and "third" in the present invention are used to distinguish different objects rather than to describe a specific order. In addition, the terms "include", "have", and any variations thereof are intended to cover non-exclusive inclusions.

[0051] Stroke is a sudden onset of thoracic blood circulation disorder, also known as thoracic vascular accident. It refers to an acute one-time or permanent thoracic blood circulation disorder caused by stenosis, occlusion or rupture of the internal thoracic artery in patients with thoracic vascular disease due to various inducing factors.

[0052] Cerebral infarction: The mortality rate in the acute phase is about 10%, and the disability rate is more than 50%. The prognosis is related to the site of onset and age of the patient. Actively cooperate with doctors for treatment, control high-risk factors, and start rehabilitation exercises as soon as possible if the disease allows, which can reduce the recurrence rate of stroke.

[0053] Chest hemorrhage: The mortality rate is about 40%, and the prognosis is related to the amount of bleeding, the site of bleeding, and the presence or absence of complications. Mild cases of chest hemorrhage can improve significantly after treatment and even return to work. The prognosis is poor after massive bleeding in the brainstem, thalamus, and chest.

[0054] The rehabilitation training management method for stroke patients provided by the present invention is described below from the perspective of a rehabilitation training management device for stroke patients. The rehabilitation training management device for stroke patients can be a server or a service unit in a server, without specific limitation.

[0055] See also Figure 1 , Figure 1 A flowchart of a method for managing rehabilitation training for stroke patients provided by an embodiment of the present invention, the method for managing rehabilitation training for stroke patients comprising:

[0056] 101. Determine a user role for each of N users.

[0057] In this embodiment, the rehabilitation training management device for stroke patients can determine the user role of each user among N users, wherein the N users include the target stroke patient and are multiple users corresponding to the target stroke patient. That is to say, the N users include but are not limited to the target stroke patient, manager, technician, medical staff and family members of the target stroke patient. The user role refers to the role played by the user in the rehabilitation training process of the stroke patient.

[0058] 102. Determine the target stage that the target stroke patient is currently in.

[0059] In this embodiment, the rehabilitation training management device for stroke patients can determine the target stage that the target stroke patient is currently in. The target stage is included in multiple stages corresponding to the stroke patient, and the multiple stages include acute stage, stable stage, preparation stage, adjustment stage and adaptation stage. Among them, the acute stage refers to the patient having a stroke and the vital signs are stable within 7 days of hospitalization. The stable stage refers to the period of treatment in accordance with the doctor's orders after the vital signs are stable after hospitalization. The preparation stage refers to the period from 2-3 weeks after the illness to discharge. The adjustment stage refers to the 3 months after the patient returns home, and the adaptation stage refers to 3 to 6 months after returning home.

[0060] It should be noted that, through step 101, the user role of each user among N users can be determined, and through step 102, the target stage of the target stroke patient can be determined. However, there is no restriction on the order of execution between these two steps. Step 101 can be executed first, or step 102 can be executed first, or they can be executed at the same time, without specific limitation.

[0061] In one embodiment, the rehabilitation training management device for stroke patients further performs the following operations:

[0062] Generate a timely demand questionnaire corresponding to the target stroke patient, wherein the timely demand questionnaire includes the patient's demand at each stage of the multiple stages;

[0063] receiving a first operation instruction of a target auxiliary user corresponding to the target stroke patient on the timely demand questionnaire;

[0064] Respond to the operation instruction, and determine the patient needs of the target stroke patient in each of the multiple stages according to the operation instruction.

[0065] In this embodiment, the rehabilitation training management device for stroke patients can generate a timely demand questionnaire corresponding to the target stroke patient, and the timely demand questionnaire includes the patient needs in each stage of multiple stages (the multiple stages refer to the various stages in the whole process of stroke patients from illness to final adaptation), please refer to Figure 2 , Figure 2 A schematic diagram of a timely demand questionnaire for stroke patients provided in an embodiment of the present invention, wherein the timely demand questionnaire includes the patient demands of stroke patients at various stages;

[0066] The rehabilitation training management device for stroke patients can display the timely demand questionnaire to the patient and / or the patient's family, and receive the first operation instruction of the timely demand questionnaire from the target auxiliary user (that is, the patient's family) corresponding to the target stroke patient, that is, Figure 2 The user can select the options of "need", "not need", "satisfied" and "unsatisfied", thereby, the rehabilitation training management device for stroke patients can receive the operation instruction, and determine the patient needs of the target stroke patient in each of the multiple stages according to the operation instruction. For example, the target auxiliary user marks all patient needs with a "need" label in the "acute phase", then the rehabilitation training task of the corresponding role is generated according to the content corresponding to the selected "need" label, and when the target stroke patient is in the "acute phase", the rehabilitation training task is assigned to the corresponding role, so that the corresponding role assists the target stroke patient in performing the rehabilitation training task or performs the rehabilitation training task by itself.

[0067] 103. Determine M rehabilitation training tasks for a target stroke patient in a target stage according to the user role of each user among N users.

[0068] In this embodiment, the rehabilitation training management device for stroke patients can determine M rehabilitation training tasks for the target stroke patient at the target stage according to the user role of each user among N users, where M is an integer greater than or equal to 1. Specifically, since the rehabilitation training tasks for the target stroke patient are generated according to the patient needs at each stage, the patient needs of the target stroke patient at the target stage can be determined first. For example, the target stage is the stable period, and the patient needs are "how to protect yourself in the hospital (such as preventing falls, getting lost, etc.)", and the user role corresponding to the patient needs can be determined, that is, who will perform the patient needs and to whom, and then the corresponding rehabilitation training tasks are generated. Here, the user role is a medical staff, and the rehabilitation training task is to promote "how to protect yourself in the hospital (such as preventing falls, getting lost, etc.)" to the target stroke patient and / or the family of the target stroke patient. Of course, other rehabilitation training tasks can also be generated, and there is no specific limitation.

[0069] It should be noted that different stages have different rehabilitation training tasks, and different rehabilitation training tasks correspond to different user roles. Some rehabilitation training tasks need to be performed by the target stroke patients themselves, while some rehabilitation training tasks are performed by other user roles such as medical staff and patients' families. The following is an example of rehabilitation training tasks at different stages:

[0070] The rehabilitation training tasks corresponding to the acute phase include good posture and passive joint training;

[0071] The rehabilitation training tasks corresponding to the stable period include neurophysiological training, bed turning training, sitting balance training, sitting transfer training, walking training, stair climbing training and daily living ability training;

[0072] The rehabilitation training tasks corresponding to the preparation period include sitting transfer, walking training, stair climbing training, daily living ability training, gait improvement training and the use of assistive devices;

[0073] The training tasks corresponding to the adjustment period include physical and language rehabilitation training, physical exercise and physical activity, and psychological care;

[0074] The rehabilitation training tasks corresponding to the adaptation period include daily living ability training, role reshaping training and emotion regulation training. It is understandable that different stages of daily living ability training use different training content and training methods, and here we will use daily living ability training as an example.

[0075] 104. Collect target attribute data of the target stroke patient after M rehabilitation training tasks are performed.

[0076] In this embodiment, the M rehabilitation training tasks refer to tasks that the target stroke patient needs to perform on his own, such as limb and language rehabilitation training. After each rehabilitation training task is performed, the target attribute data of the target stroke patient can be collected. The target attribute data is associated with the rehabilitation training task. For example, if the rehabilitation training is limb and language rehabilitation training, then the target attribute data is the data corresponding to the limb movement and language description.

[0077] 105. Determine the target rehabilitation status of the target stroke patient in the target stage based on the target attribute data.

[0078] In this embodiment, the rehabilitation training management device for stroke patients can determine the target rehabilitation status of the target stroke patient at the target stage according to the target attribute data. Specifically, the rehabilitation training management device for stroke patients can first obtain the attribute data and rehabilitation status of the sample stroke patient at each stage in multiple stages, and the sample stroke patient is any one of the multiple stroke patients corresponding to the target stroke patient; pre-process the attribute data and rehabilitation status; input the pre-processed attribute data and rehabilitation status into the neural network model for training until the preset iteration termination condition is reached to obtain the rehabilitation recognition model; input the target attribute data into the rehabilitation recognition model to obtain the target rehabilitation status.

[0079] That is, the rehabilitation training management device for stroke patients can obtain a large amount of training attribute data and rehabilitation status data of stroke patients of the same type as the target stroke patient and who have completely gone through each of the multiple stages, and train a rehabilitation identification model based on the training attribute data and rehabilitation status data. Thus, the rehabilitation identification model can be used to determine the target rehabilitation status of the target stroke patient in the target stage according to the target attribute input.

[0080] It should be noted that after obtaining the target attribute data, the rehabilitation training management device for stroke patients can also display the target attribute data and the target stage, and receive the corresponding second operation instruction, the second operation instruction is an operation instruction for determining the actual rehabilitation status of the target stroke patient at the target stage; determining the actual rehabilitation status of the target stroke patient at the target stage according to the second operation instruction; determining the target difference between the actual rehabilitation status and the target rehabilitation status; and adjusting the rehabilitation identification model according to the target difference. That is, the rehabilitation training device for stroke patients can display the target attribute information collected after the target stroke patient completes the rehabilitation training task to medical staff or managers, artificially determine the actual rehabilitation status of the target stroke patient after performing the rehabilitation training task, and then adjust the model according to the difference between the actual rehabilitation status and the target rehabilitation status obtained by the model, thereby making the rehabilitation status identified by the model more and more accurate.

[0081] It should also be noted that when the target stroke patient completes the M rehabilitation training tasks, the rehabilitation training management device for stroke patients can also monitor in real time the various physical indicators of the target stroke patient in performing the M rehabilitation training tasks; and adjust the rehabilitation training tasks of the next stage corresponding to the target stage according to the various physical indicators. In this way, adaptive adjustments can be made according to the recovery status of the target stroke patient.

[0082] In summary, it can be seen that in the embodiments provided by the present invention, the entire disease development process of the stroke patient is monitored in real time, and the corresponding rehabilitation training tasks are generated, thereby guiding the stroke patient to perform the corresponding rehabilitation training tasks at each stage, assisting the stroke patient in rehabilitation training, and collecting the attribute data of the stroke patient after training, and then determining the rehabilitation status of the stroke patient according to the attribute data. Thus, scientific management planning can be carried out for the rehabilitation training of the stroke patient, helping the stroke patient to recover the behavioral ability as soon as possible.

[0083] The above describes the embodiment of the present invention from the perspective of a rehabilitation training management method for stroke patients. The following describes the embodiment of the present invention from the perspective of a rehabilitation training management device for stroke patients.

[0084] See also Figure 3 , a virtual structural diagram of a rehabilitation training management device for stroke patients in an embodiment of the present invention, the rehabilitation training management device 300 for stroke patients comprises:

[0085] A first determination module 301 is used to determine a user role of each user among N users, where the N users are multiple users including a target stroke patient and corresponding to the target stroke patient;

[0086] The second determination module 302 is used to determine the target stage that the target stroke patient is currently in;

[0087] The third determination module 303 is used to determine M rehabilitation training tasks for the target stroke patient at the target stage according to the user role of each user among the N users, wherein M is an integer greater than or equal to 1;

[0088] A collection module 304 is used to collect target attribute data of the target stroke patient after the M rehabilitation training tasks are performed;

[0089] The fourth determination module 305 is used to determine the target rehabilitation status of the target stroke patient at the target stage according to the target attribute data.

[0090] In a possible design, the third determining module 303 is further configured to:

[0091] Generating a timely demand questionnaire corresponding to the target stroke patient, wherein the timely demand questionnaire includes the patient demand at each stage in a plurality of stages;

[0092] receiving a first operation instruction of a target auxiliary user corresponding to the target stroke patient on the timely demand questionnaire;

[0093] Respond to the first operating instruction, and determine the patient needs of the target stroke patient in each of the multiple stages according to the first operating instruction.

[0094] In a possible design, the third determining module 303 is specifically configured to:

[0095] determining patient needs of the target stroke patient at the target stage;

[0096] The M rehabilitation training tasks are determined according to the patient's needs and the user role of each of the N users.

[0097] In one possible design, the multiple stages include an acute phase, a stable phase, a preparatory phase, an adjustment phase and an adaptation phase. The rehabilitation training tasks corresponding to the acute phase include good posture and passive joint training. The rehabilitation training tasks corresponding to the stable phase include neurophysiological training, bed turning training, sitting balance training, sitting transfer, walking training, stair climbing and downstairs training and daily living ability training. The rehabilitation training tasks corresponding to the preparation phase include sitting transfer, walking training, stair climbing and downstairs training, daily living ability training, gait improvement training and the use of assistive devices. The training tasks corresponding to the adjustment phase include limb and language rehabilitation training, physical exercise and physical activity, and psychological care. The rehabilitation training tasks corresponding to the adaptation phase include self-care ability training, role reshaping training and emotion regulation training.

[0098] In a possible design, the fourth determining module 305 is specifically configured to:

[0099] Acquiring attribute data and the rehabilitation status of a sample stroke patient at each of the multiple stages, wherein the sample stroke patient is any one of the multiple stroke patients corresponding to the target stroke patient;

[0100] Preprocessing the attribute data and the rehabilitation status;

[0101] Inputting the preprocessed attribute data and the rehabilitation status into a neural network model for training until a preset iteration termination condition is reached to obtain a rehabilitation recognition model;

[0102] The target attribute data is input into the rehabilitation identification model to obtain the target rehabilitation status.

[0103] In a possible design, the fourth determining module 305 is further configured to:

[0104] The target attribute data and the target stage are displayed, and a corresponding second operation instruction is received, where the second operation instruction is an operation instruction for determining an actual rehabilitation status of the target stroke patient at the target stage;

[0105] determining the actual recovery status of the target stroke patient at the target stage according to the second operation instruction;

[0106] determining a target difference between the actual recovery condition and the target recovery condition;

[0107] The rehabilitation identification model is adjusted according to the target difference.

[0108] In a possible design, the third determining module 303 is further configured to:

[0109] Real-time monitoring of various physical indicators of the target stroke patient during the execution of the M rehabilitation training tasks;

[0110] The rehabilitation training tasks of the next stage corresponding to the target stage are adjusted according to the various physical indicators.

[0111] above Figure 3 The rehabilitation training management device for stroke patients in the embodiment of the present invention is described from the perspective of modular functional entities. The rehabilitation training management device for stroke patients in the embodiment of the present invention is described in detail from the perspective of hardware processing. Please refer to FIG. 400, which is a schematic diagram of an embodiment of the rehabilitation training management device 400 for stroke patients in the embodiment of the present invention. The rehabilitation training management device 400 for stroke patients includes:

[0112] An input device 401, an output device 402, a processor 403 and a memory 404 (the number of the processor 403 can be one or more, Figure 4 In some embodiments of the present invention, the input device 401, the output device 402, the processor 403 and the memory 404 may be connected via a communication bus or other means, wherein: Figure 4 The communication bus connection is taken as an example.

[0113] Wherein, by calling the operation instruction stored in the memory 404, the processor 403 is used to perform the following steps:

[0114] Determining a user role of each user among N users, where the N users are a plurality of users including a target stroke patient and corresponding to the target stroke patient;

[0115] determining the target stage that the target stroke patient is currently in;

[0116] Determining M rehabilitation training tasks for the target stroke patient at the target stage according to the user role of each user among the N users, wherein M is an integer greater than or equal to 1;

[0117] Collecting target attribute data of the target stroke patient after the M rehabilitation training tasks are performed;

[0118] The target rehabilitation status of the target stroke patient at the target stage is determined according to the target attribute data.

[0119] By calling the operation instructions stored in the memory 404, the processor 403 is also used to execute Figure 1 Any method in the corresponding embodiment.

[0120] See also Figure 5 , Figure 5 A schematic diagram of an electronic device according to an embodiment of the present invention.

[0121] like Figure 5 As shown, an embodiment of the present invention provides an electronic device, including a memory 510, a processor 520, and a computer program 511 stored in the memory 510 and executable on the processor 520. When the processor 520 executes the computer program 511, the following steps are implemented:

[0122] Determining a user role of each user among N users, where the N users are a plurality of users including a target stroke patient and corresponding to the target stroke patient;

[0123] determining the target stage that the target stroke patient is currently in;

[0124] Determining M rehabilitation training tasks for the target stroke patient at the target stage according to the user role of each user among the N users, wherein M is an integer greater than or equal to 1;

[0125] Collect target attribute data of the target stroke patient after the M rehabilitation training tasks are performed; and determine the target rehabilitation status of the target stroke patient at the target stage according to the target attribute data.

[0126] In a specific implementation process, when the processor 520 executes the computer program 511, it can achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0127] Since the electronic device introduced in this embodiment is a device used to implement a rehabilitation training management device for stroke patients in an embodiment of the present invention, based on the method introduced in the embodiment of the present invention, technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present invention is not introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present invention falls within the scope of protection of the present invention.

[0128] Please refer to Figure 600, which is a schematic diagram of an embodiment of a computer-readable storage medium provided by an embodiment of the present invention.

[0129] As shown in Figure 600, the embodiment of the present invention further provides a computer-readable storage medium 600, on which a computer program 611 is stored. When the computer program 611 is executed by a processor, the following steps are implemented:

[0130] Determining a user role of each user among N users, where the N users are a plurality of users including a target stroke patient and corresponding to the target stroke patient;

[0131] determining the target stage that the target stroke patient is currently in;

[0132] Determining M rehabilitation training tasks for the target stroke patient at the target stage according to the user role of each user among the N users, wherein M is an integer greater than or equal to 1;

[0133] Collect target attribute data of the target stroke patient after the M rehabilitation training tasks are performed; and determine the target rehabilitation status of the target stroke patient at the target stage according to the target attribute data.

[0134] In the specific implementation process, the computer program 611 is executed by the processor to achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0135] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0136] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0137] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0138] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0139] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0140] The embodiment of the present invention also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes the following Figure 1 The process in the corresponding embodiment.

[0141] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0142] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0143] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There are other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0144] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0145] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0146] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0147] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for rehabilitation training management of stroke patients, characterized in that: include: Determining a user role of each user among N users, where the N users are a plurality of users including a target stroke patient and corresponding to the target stroke patient; determining the target stage that the target stroke patient is currently in; Determining M rehabilitation training tasks for the target stroke patient at the target stage according to the user role of each user among the N users, wherein M is an integer greater than or equal to 1; Collecting target attribute data of the target stroke patient after the M rehabilitation training tasks are performed; The target rehabilitation status of the target stroke patient at the target stage is determined according to the target attribute data.

2. The method according to claim 1, characterized in that: The method further comprises: Generating a timely demand questionnaire corresponding to the target stroke patient, wherein the timely demand questionnaire includes the patient demand at each stage in a plurality of stages; receiving a first operation instruction of a target auxiliary user corresponding to the target stroke patient on the timely demand questionnaire; Respond to the first operating instruction, and determine the patient needs of the target stroke patient in each of the multiple stages according to the first operating instruction.

3. The method according to claim 2, characterized in that The step of determining the M rehabilitation training tasks for the target stroke patient at the target stage according to the user role of each user among the N users includes: determining patient needs of the target stroke patient at the target stage; The M rehabilitation training tasks are determined according to the patient's needs and the user role of each of the N users.

4. The method according to claim 3, characterized in that The multiple stages include an acute phase, a stable phase, a preparation phase, an adjustment phase and an adaptation phase. The rehabilitation training tasks corresponding to the acute phase include good posture and passive joint training. The rehabilitation training tasks corresponding to the stable phase include neurophysiological training, bed turning over training, sitting balance training, sitting transfer, walking training, stair climbing and downstairs training and daily living ability training. The rehabilitation training tasks corresponding to the preparation phase include sitting transfer, walking training, stair climbing and downstairs training, daily living ability training, gait improvement training and the use of assistive devices. The training tasks corresponding to the adjustment phase include limb and language rehabilitation training, physical exercise and physical activity, and psychological care. The rehabilitation training tasks corresponding to the adaptation phase include self-care ability training, role reshaping training and emotion regulation training.

5. The method according to any one of claims 1 to 4, characterized in that Determining the target rehabilitation status of the target stroke patient at the target stage according to the target attribute data includes: Acquiring attribute data and the rehabilitation status of a sample stroke patient at each of the multiple stages, wherein the sample stroke patient is any one of the multiple stroke patients corresponding to the target stroke patient; Preprocessing the attribute data and the rehabilitation status; Inputting the preprocessed attribute data and the rehabilitation status into a neural network model for training until a preset iteration termination condition is reached to obtain a rehabilitation recognition model; The target attribute data is input into the rehabilitation identification model to obtain the target rehabilitation status.

6. The method according to claim 5, characterized in that The method further comprises: The target attribute data and the target stage are displayed, and a corresponding second operation instruction is received, where the second operation instruction is an operation instruction for determining an actual rehabilitation status of the target stroke patient at the target stage; determining the actual recovery status of the target stroke patient at the target stage according to the second operation instruction; determining a target difference between the actual recovery condition and the target recovery condition; The rehabilitation identification model is adjusted according to the target difference.

7. The method according to any one of claims 1 to 4 and 6, characterized in that: The method further comprises: Real-time monitoring of various physical indicators of the target stroke patient during the execution of the M rehabilitation training tasks; The rehabilitation training tasks of the next stage corresponding to the target stage are adjusted according to the various physical indicators.

8. A rehabilitation training management device for stroke patients, characterized in that: include: A first determination module is used to determine a user role of each user among N users, wherein the N users are multiple users including a target stroke patient and corresponding to the target stroke patient; A second determination module is used to determine the target stage that the target stroke patient is currently in; A third determination module is used to determine M rehabilitation training tasks for the target stroke patient at the target stage according to the user role of each user among the N users, wherein M is an integer greater than or equal to 1; A collection module, used for collecting target attribute data of the target stroke patient after the M rehabilitation training tasks are performed; The fourth determination module is used to determine the target rehabilitation status of the target stroke patient at the target stage according to the target attribute data.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the processor is used to implement the rehabilitation training management method for stroke patients as described in any one of claims 1 to 7 when executing the computer management program stored in the memory.

10. A computer-readable storage medium having a computer management program stored thereon, characterized in that: When the computer management program is executed by the processor, the rehabilitation training management method for stroke patients as described in any one of claims 1 to 7 is implemented.

Images