Lung chronic disease management and body recovery-based equipment control method, device, equipment, medium and product for rehabilitation training

Abstract

The invention relates to a lung chronic disease management and body recovery-based equipment control method and device, equipment, a medium and a product for rehabilitation training, and the method comprises the steps: determining a first user identifier of a first user in response to an access signal of a user terminal of the first user; in a preset database, extracting motion time sequence data of a current period associated with the first user identifier; according to first exercise efficiency, reflected by the exercise time sequence data, of a first rehabilitation item of the first user, the single time length of the first rehabilitation item in an expected period of the first user is adjusted; wherein the expected period is after the current period.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the technical field of virtual reality, and more specifically, to a device control method, apparatus, equipment, medium, and product for rehabilitation training based on chronic lung disease management and body recovery. Background Art

[0002] With the rapid development of virtual reality technology, VR devices are widely used in medical rehabilitation therapy, assisting physicians in providing motor rehabilitation for patients. Currently, some VR devices used for medical rehabilitation require physicians to adjust the device's parameters on-site to ensure the guided movements meet the patient's needs, making them difficult to operate. Summary of the Invention

[0003] One purpose of the embodiments of the present disclosure is to provide a new technical solution for equipment control for rehabilitation training based on chronic lung disease management and body recovery.

[0004] According to a first aspect of the present disclosure, a method for controlling a device for rehabilitation training based on chronic lung disease management and body recovery is provided, the method comprising: determining a first user identifier of the first user in response to an access signal from a user terminal of the first user; Extracting the motion time series data of the current period associated with the first user identifier from a preset database; According to the first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise timing data, a single duration of the first rehabilitation program in an expected cycle of the first user is adjusted; wherein the expected cycle is after the current cycle.

[0005] Optionally, the motion time series data includes a first time series data set of the first rehabilitation project in the current cycle; wherein, the first time series data set includes multiple first time nodes and multiple rehabilitation training body recovery amounts corresponding to the first time nodes respectively.

[0006] Optionally, the rehabilitation training body recovery amount is obtained based on the actual exercise duration and actual movement accuracy of the first user at the corresponding first time node.

[0007] Optionally, before adjusting the frequency and single duration of the first rehabilitation program in the first user's expected cycle based on the first exercise efficiency of the first rehabilitation program reflected by the exercise time-series data, the method further includes: Determine the number of days between adjacent first time nodes; Obtaining an efficiency coefficient of the first rehabilitation program of the first user according to a comparison result between the interval days and the set number of days; A first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise time series data is obtained according to the rehabilitation training body recovery amount, the current cycle and the efficiency coefficient.

[0008] Optionally, obtaining the efficiency coefficient of the first rehabilitation program of the first user according to the preset first mapping relationship and the comparison result between the interval days and the set days includes: Determine a first interval number of days whose difference between the interval number of days and the set number of days is less than or equal to a set threshold; determining a first ratio between the first number of interval days and the number of interval days; According to a preset first mapping relationship, an efficiency coefficient corresponding to the first ratio is determined and used as the efficiency coefficient of the first rehabilitation program of the first user; wherein the first mapping relationship reflects that different ratios correspond to different efficiency coefficients.

[0009] Optionally, obtaining the first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise time series data according to the rehabilitation training body recovery amount, the current cycle, and the efficiency coefficient includes: determining a daily training volume for the first user based on the body recovery amount from the rehabilitation training and the current cycle; A first exercise efficiency of a first rehabilitation program of the first user is obtained according to the single-day training volume and the efficiency coefficient.

[0010] According to a second aspect of the present disclosure, there is also provided a device control apparatus for rehabilitation training based on chronic lung disease management and body recovery, the apparatus comprising: a response module, configured to determine a first user identifier of the first user in response to an access signal of a user terminal of the first user; an extraction module, configured to extract, from a preset database, motion time series data of a current period associated with the first user identifier; An adjustment module is configured to adjust the frequency and single duration of the first rehabilitation program in an expected cycle of the first user according to the first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise timing data; wherein the expected cycle is after the current cycle.

[0011] According to a third aspect of the present disclosure, an electronic device is further provided, comprising a memory and a processor, wherein the memory is used to store a computer program; and the processor is used to execute the computer program to implement the method according to the first aspect of the present disclosure.

[0012] According to a fourth aspect of the present disclosure, a computer-readable storage medium is further provided, on which a computer program is stored. When the computer program is executed by a processor, the method according to the first aspect of the present disclosure is implemented.

[0013] According to a fifth aspect of the present disclosure, a computer program product is further provided, comprising a computer program, wherein when the computer program is executed by a processor, the method according to the first aspect of the present disclosure is implemented.

[0014] One beneficial effect of the embodiments of the present disclosure is that the device control method for rehabilitation training based on chronic lung disease management and body recovery provided by the present invention can determine the first user identifier of the first user in response to the access signal of the user terminal of the first user. In the preset database, the motion timing data of the current cycle associated with the first user identifier is extracted. According to the first motion efficiency of the first rehabilitation project of the first user reflected in the motion timing data, the single duration of the first rehabilitation project in the expected cycle of the first user is adjusted. In other words, through the user identifiers of different patients, the motion timing data of the current cycle of the patient can be retrieved from the database, and then the first motion efficiency of the first user can be determined to measure whether the first user meets expectations, so that the single duration of the first rehabilitation project in the expected cycle of the first user can be adjusted, without the need for the physician to adjust the parameters of the virtual reality device on the spot, which effectively reduces the difficulty of operating the virtual reality device.

[0015] Other features and advantages of the embodiments of the present disclosure will become apparent from the following detailed description of exemplary embodiments of the present disclosure with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the embodiments of the present disclosure.

[0017] Figure 1 is a schematic diagram of the structure of a virtual reality device capable of being applied according to one embodiment; Figure 2 This is a flow chart of a device control method for rehabilitation training based on chronic lung disease management and body recovery according to one embodiment; Figure 3 This is a block diagram of a device control apparatus for rehabilitation training based on chronic lung disease management and body recovery according to one embodiment; Figure 4 is a schematic diagram of the hardware structure of an electronic device according to an embodiment. DETAILED DESCRIPTION

[0018] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention.

[0019] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0020] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0021] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0022] It should be noted that like reference numerals and letters refer to like items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0023] <System Example> Figure 1 This is a schematic diagram of the composition structure of a virtual reality device that can be used to control a device for rehabilitation training based on chronic lung disease management and body recovery according to an embodiment. Figure 1 As shown, the virtual reality device may include a head adjustment strap, a strap fixing device, a skull fixation strap, a Bluetooth device, a digital imaging device, a vibration prompt device, a voice player and a control device, and is used in medical rehabilitation scenarios.

[0024] The head adjustment fixing belt, the fixing belt fixing device, and the skull top fixing belt are used to limit the digital imaging device in front of the patient's eyes.

[0025] The Bluetooth device, the digital imaging device, the vibration prompt device, and the voice player are electrically connected to the control device. In addition, the Bluetooth device is used to communicate with the patient's user terminal, so that the control device can exchange data with the user terminal through the Bluetooth device.

[0026] As used in the embodiments of the present disclosure, the control device memory is used to store a computer program that controls the control device processor to operate according to any embodiment of the device control method for rehabilitation training based on chronic lung disease management and body recovery. A skilled person can design a computer program based on the solutions of the embodiments of the present disclosure. How the computer program controls the processor to operate is well known in the art and will not be described in detail here.

[0027] <Method Example> Figure 2 This is a flow chart of a device control method for rehabilitation training based on chronic lung disease management and body recovery according to an embodiment. Figure 1 Middle control device.

[0028] like Figure 2 As shown, the device control method for rehabilitation training based on chronic lung disease management and body recovery in this embodiment may include the following steps S210 to S230: Step S210: Determine a first user identifier of a first user in response to an access signal from a user terminal of the first user.

[0029] In this embodiment, the user terminal can communicate with the control device via different communication methods such as Bluetooth, so that the control device can obtain the first user identifier of the first user set by the user terminal. The first user identifier can be a string, for example: APHM00378.

[0030] Step S220: extracting the current period motion time series data associated with the first user identifier from a preset database.

[0031] In this embodiment, the database can be a cloud database, and the control device can send a request to retrieve the motion timing data of the current cycle of the first user identifier to the cloud database, so that the cloud database can send the motion timing data of the current cycle of the first user identifier to the control device.

[0032] Step S230 : adjusting a single duration of the first rehabilitation program in an expected cycle of the first user according to the first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise timing data; wherein the expected cycle is after the current cycle.

[0033] In this embodiment, through the user identification of different patients, the motion timing data of the patient's current cycle can be retrieved from the database, and then the first motion efficiency of the first user can be determined to measure whether the first user meets expectations, so that the single duration of the first rehabilitation project in the expected cycle of the first user can be adjusted. There is no need for the doctor to adjust the parameters of the virtual reality device on the spot, which effectively reduces the difficulty of operating the virtual reality device.

[0034] In some embodiments, the motion timing data includes a first timing data set of a first rehabilitation project in a current cycle; wherein, the first timing data set includes multiple first time nodes and multiple rehabilitation training body recovery amounts corresponding to the first time nodes.

[0035] In some examples, the current cycle is, for example, the current week or the current month. Taking the current week as an example, the motion timing data of the current cycle identified by the first user can be [Week2: (1, 1.6); (4, 2.1); (7, 0.8)], where "1" in (1, 1.6) represents the first day of the week, and 1.6 represents the patient's rehabilitation training body recovery amount on the first day is 1.6 hours.

[0036] In some embodiments, the rehabilitation training body recovery amount is obtained based on the actual exercise duration and actual movement accuracy of the first user at the corresponding first time node.

[0037] In some examples, the current cycle is, for example, the current week or the current month. Taking the current week as an example, the motion timing data of the current cycle identified by the first user can be [Week2: (1, 2, 0.8); (4, 3, 0.7); (7, 1, 0.8)], where "1" in (1, 2, 0.8) represents the first day of the week, "2" represents the patient's actual exercise time on the first day is 2 hours, and "0.8" represents the patient's actual movement accuracy on the first day. Therefore, the first user's rehabilitation training body recovery amount for the week is 4.5 hours.

[0038] In some embodiments, before step S230, the method further includes step S310: Step S310: determining the number of days between adjacent first time nodes.

[0039] In some examples, the current cycle is, for example, the current week or the current month. Taking the current cycle as the current week, the motion timing data of the current cycle identified by the first user can be [Week2: (1, 2, 0.8); (4, 3, 0.7); (7, 1, 0.8)], where the interval between the first day and the fourth day is 2 days, and the interval between the fourth day and the seventh day is also 2 days.

[0040] Step S320, obtaining an efficiency coefficient of the first rehabilitation program of the first user based on a comparison result between the interval days and the set number of days; Step S330 : obtaining a first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise time series data according to the recovery amount of the rehabilitation training body, the current cycle, and the efficiency coefficient.

[0041] In other words, by determining the first exercise efficiency of the first user through the recovery amount of the rehabilitation training body, the current cycle and the efficiency coefficient, the accuracy of the first exercise efficiency can be effectively improved, thereby improving the accuracy of the subsequent adjustment of the single duration of the first rehabilitation project in the subsequent expected cycle.

[0042] In some embodiments, step S320 may include the following steps S410 to S430: Step S410: determining a first interval number of days whose difference between the interval number of days and the set number of days is less than or equal to a set threshold.

[0043] Step S420, determining a first ratio between the first interval number of days and the interval number of days; In some examples, the set number of days is 1 day, the interval between the first day and the fourth day is 2 days, and the interval between the fourth day and the seventh day is also 2 days, which are all greater than the set number of days. Then, there is no difference between the interval days and the set number of days that is less than or equal to the set threshold, and the first ratio between the first interval days and the interval days is 0.

[0044] In some examples, the set number of days is, for example, 2 days, the interval between the first day and the fourth day is 1 day, and the interval between the fourth day and the seventh day is also 2 days, both of which are less than or equal to the set threshold, and the first ratio between the first interval number and the interval number is 1.

[0045] Step S430: Determine an efficiency coefficient corresponding to the first ratio according to a preset first mapping relationship, and use it as the efficiency coefficient of the first rehabilitation program for the first user; wherein the first mapping relationship reflects that different ratios correspond to different efficiency coefficients.

[0046] In this embodiment, the first mapping relationship is the first ratio-efficiency coefficient: [0, 0.5)-1.5; (0.5, 0.8)-1; (0.8, 1]-0.8. When the first ratio is in the interval [0, 0.5), the efficiency coefficient is 1.5. When the first ratio is in the interval (0.5, 0.8), the efficiency coefficient is 1. When the first ratio is in the interval (0.8, 1]), the efficiency coefficient is 0.8.

[0047] In some embodiments, step S330 may include the following steps S510 and S520: Step S510, determining the first user's daily training volume based on the rehabilitation training body recovery volume and the current cycle; In some examples, the amount of recovery required for rehabilitation training is 4.5 hours, and the current cycle is 7 days, so the amount of training per day is 4.5 / 7.

[0048] Step S520 : Obtaining a first exercise efficiency of a first rehabilitation program of the first user according to the daily training volume and the efficiency coefficient.

[0049] In some examples, the rehabilitation training body recovery amount is 4.5 hours, the current cycle is 7 days, the efficiency coefficient is 1.5, the daily training amount is 4.5 / 7, and the first exercise efficiency is 1.5×4.5 / 7, that is, the first exercise efficiency is 0.96. In addition, an efficiency threshold can be pre-set. For example, if the efficiency threshold is 1, then 0.96 is less than 1. In this case, in the desired cycle, the single duration of the first rehabilitation program is increased by an additional half hour to achieve reasonable configuration of rehabilitation training body recovery for the patient.

[0050] <Equipment Example 1> Figure 3 This is a principle block diagram of a device control device for rehabilitation training based on chronic lung disease management and body recovery according to one embodiment. Figure 3 As shown, the device control device 300 for rehabilitation training based on chronic lung disease management and body recovery may include: A response module 310 is configured to determine a first user identifier of a first user in response to an access signal from a user terminal of the first user; An extraction module 320 is configured to extract the motion time series data of the current period associated with the first user identifier from a preset database; The adjustment module 330 is used to adjust the frequency and single duration of the first rehabilitation program in the expected cycle of the first user according to the first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise timing data; wherein the expected cycle is after the current cycle.

[0051] In some embodiments, the equipment control device 300 for rehabilitation training based on chronic lung disease management and body recovery also includes an efficiency acquisition module for determining the number of days between adjacent first time nodes; based on the comparison result between the interval number of days and the set number of days, the efficiency coefficient of the first rehabilitation project of the first user is obtained; based on the body recovery amount of the rehabilitation training, the current cycle and the efficiency coefficient, the first exercise efficiency of the first rehabilitation project of the first user reflected by the exercise timing data is obtained.

[0052] In some embodiments, the efficiency acquisition module is also used to determine the first interval number of days whose difference with the set number of days is less than or equal to a set threshold; determine a first ratio between the first interval number of days and the interval number of days; determine the efficiency coefficient corresponding to the first ratio according to a preset first mapping relationship, and use it as the efficiency coefficient of the first rehabilitation project of the first user; wherein, the first mapping relationship reflects that different ratios correspond to different efficiency coefficients.

[0053] In some embodiments, the efficiency acquisition module is also used to determine the first user's daily training volume based on the rehabilitation training body recovery volume and the current cycle; and obtain the first exercise efficiency of the first rehabilitation project of the first user based on the daily training volume and the efficiency coefficient.

[0054] The equipment control device 300 for rehabilitation training based on chronic lung disease management and body recovery can be the above-mentioned control device.

[0055] <Equipment Example 2> Figure 4 is a schematic diagram of the hardware structure of an electronic device according to another embodiment.

[0056] like Figure 4 As shown, the electronic device 400 includes a processor 410 and a memory 420, wherein the memory 420 is used to store an executable computer program, and the processor 410 is used to execute a method as any of the above method embodiments under the control of the computer program.

[0057] The electronic device may be the control device mentioned above.

[0058] Each module of the above-mentioned equipment control device 300 for rehabilitation training based on chronic lung disease management and body recovery can be implemented by the processor 410 in this embodiment executing the computer program stored in the memory 420, or can be implemented by other structures, which is not limited here.

[0059] The present invention may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present invention.

[0060] A computer-readable storage medium can be a tangible device that can hold and store instructions for use by an instruction execution device. A computer-readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or raised-in-groove structure on which instructions are stored, and any suitable combination thereof. As used herein, a computer-readable storage medium is not to be construed as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through an electrical wire.

[0061] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions to be stored in the computer-readable storage medium in each computing / processing device.

[0062] The computer program instructions for performing the operations of the present invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, the state information of the computer-readable program instructions is used to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), so that the electronic circuit can execute the computer-readable program instructions, thereby implementing various aspects of the present invention.

[0063] Various aspects of the present invention are described herein with reference to flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present invention. It should be understood that each block of the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts and / or block diagrams, can be implemented by computer-readable program instructions.

[0064] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device is generated that implements the functions / actions specified in one or more blocks in the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium, where these instructions cause the computer, programmable data processing device, and / or other device to operate in a specific manner. Thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing various aspects of the functions / actions specified in one or more blocks in the flowchart and / or block diagram.

[0065] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more blocks in the flowchart and / or block diagram.

[0066] The flowcharts and block diagrams in the accompanying drawings show the possible implementation architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, program segment or part of an instruction, and the module, program segment or part of the instruction contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are all equivalent.

[0067] While various embodiments of the present invention have been described above, the foregoing description is intended to be illustrative, non-exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is selected to best explain the principles of the embodiments, their practical applications, or technological improvements in the marketplace, or to enable others skilled in the art to understand the embodiments disclosed herein. The scope of the present invention is defined by the appended claims.

Claims

1. A device control method for rehabilitation training based on chronic lung disease management and body recovery, characterized in that: The method comprises: determining a first user identifier of the first user in response to an access signal from a user terminal of the first user; Extracting the motion time series data of the current period associated with the first user identifier from a preset database; According to the first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise timing data, a single duration of the first rehabilitation program in an expected cycle of the first user is adjusted; wherein the expected cycle is after the current cycle.

2. The method according to claim 1, characterized in that The motion time series data includes a first time series data set of a first rehabilitation project in a current cycle; wherein, the first time series data set includes multiple first time nodes and the rehabilitation training body recovery amounts corresponding to the multiple first time nodes respectively.

3. The method according to claim 2, characterized in that The rehabilitation training body recovery amount is obtained based on the actual exercise duration and actual movement accuracy of the first user at the corresponding first time node.

4. The method according to claim 2, characterized in that Before adjusting the frequency and single duration of the first rehabilitation program in the first user's expected cycle based on the first exercise efficiency of the first rehabilitation program reflected by the exercise time-series data, the method further includes: Determine the number of days between adjacent first time nodes; Obtaining an efficiency coefficient of the first rehabilitation program of the first user according to a comparison result between the interval days and the set number of days; A first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise time series data is obtained according to the rehabilitation training body recovery amount, the current cycle and the efficiency coefficient.

5. The method according to claim 4, characterized in that Obtaining the efficiency coefficient of the first rehabilitation program of the first user according to the preset first mapping relationship and the comparison result between the interval days and the set days includes: Determine a first interval number of days whose difference between the interval number of days and the set number of days is less than or equal to a set threshold; determining a first ratio between the first number of interval days and the number of interval days; According to a preset first mapping relationship, an efficiency coefficient corresponding to the first ratio is determined and used as the efficiency coefficient of the first rehabilitation program of the first user; wherein the first mapping relationship reflects that different ratios correspond to different efficiency coefficients.

6. The method according to claim 4, characterized in that The obtaining, according to the rehabilitation training body recovery amount, the current cycle, and the efficiency coefficient, of a first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise time series data includes: determining a daily training volume for the first user based on the body recovery amount from the rehabilitation training and the current cycle; A first exercise efficiency of a first rehabilitation program of the first user is obtained according to the single-day training volume and the efficiency coefficient.

7. A device control device for rehabilitation training based on chronic lung disease management and body recovery, characterized in that: The device comprises: a response module, configured to determine a first user identifier of the first user in response to an access signal of a user terminal of the first user; an extraction module, configured to extract, from a preset database, motion time series data of a current period associated with the first user identifier; An adjustment module is configured to adjust the frequency and single duration of the first rehabilitation program in an expected cycle of the first user according to the first exercise efficiency of the first rehabilitation program of the first user reflected by the exercise timing data; wherein the expected cycle is after the current cycle.

8. An electronic device, characterized in that: The system comprises a memory and a processor, wherein the memory is used to store a computer program; and the processor is used to execute the computer program to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which implements the method according to any one of claims 1 to 6 when executed by a processor.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

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