A motion plan determination system, apparatus, storage medium and program product

Abstract

The application discloses a motion scheme determination system, device, storage medium and program product. The motion scheme determination system is configured with at least one processor, and the processor performs the following steps: obtaining blood routine data and an activity state of a target object, the activity state being used for representing whether the target object is in a bedridden state; determining a motion mode of the target object based on the activity state, the motion mode including bed motion and off-bed motion; determining a motion level of the target object based on the blood routine data of the target object; and determining a motion scheme of the target object based on the motion mode and the motion level of the target object, so that the motion scheme and the target object are accurately matched, the adaptation degree between the motion scheme and the target object is improved, and accurate data support is provided for the motion of the target object.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a motion scheme determination system, apparatus, storage medium, and program product. Background Technology

[0002] In the medical field, children who have undergone hematopoietic stem cell transplantation need to engage in appropriate exercise to promote physical recovery and improve prognosis during and after the transplantation process.

[0003] In the existing technology, most exercise programs for children who have undergone hematopoietic stem cell transplantation are general exercise programs. Different children who have undergone hematopoietic stem cell transplantation have different tolerances for exercise. General exercise programs cannot be personalized according to the actual situation of children who have undergone hematopoietic stem cell transplantation. General exercise programs lack precise differentiation of children who have undergone hematopoietic stem cell transplantation in different situations, resulting in a low degree of matching between general exercise programs and children who have undergone hematopoietic stem cell transplantation. Summary of the Invention

[0004] This invention provides a system, device, storage medium, and program product for determining exercise patterns, enabling precise determination of exercise patterns in children undergoing hematopoietic stem cell transplantation.

[0005] According to one aspect of the present invention, a motion scheme determination system is provided, the system being configured with at least one processor, the processor performing the following steps: Obtain the target object's blood routine data and activity status. The activity status is used to characterize whether the target object is in a bedridden state. The movement mode of the target object is determined based on the activity status, including movement in bed and movement outside the bed; Determine the target's exercise level based on the target's blood routine data; The movement plan for the target object is determined based on the target object's movement mode and movement level.

[0006] According to another aspect of the present invention, a motion scheme determination device is provided, comprising: The data acquisition module is used to acquire the target object's blood routine data and activity status. The activity status is used to indicate whether the target object is in a bedridden state. The motion mode determination module is used to determine the motion mode of the target object based on its activity state. The motion modes include bed movement and off-bed movement. The exercise level determination module is used to determine the exercise level of the target object based on the target object's blood routine data; The motion plan determination module is used to determine the motion plan of the target object based on the target object's motion mode and motion level.

[0007] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to perform the following steps: Obtain the target object's blood routine data and activity status. The activity status is used to characterize whether the target object is in a bedridden state. The movement mode of the target object is determined based on the activity status, including movement in bed and movement outside the bed; Determine the target's exercise level based on the target's blood routine data; The movement plan for the target object is determined based on the target object's movement mode and movement level.

[0008] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to perform the following steps: Obtain the target object's blood routine data and activity status. The activity status is used to characterize whether the target object is in a bedridden state. The movement mode of the target object is determined based on the activity status, including movement in bed and movement outside the bed; Determine the target's exercise level based on the target's blood routine data; The movement plan for the target object is determined based on the target object's movement mode and movement level.

[0009] The technical solution of this invention discloses an exercise program determination system. This system is equipped with at least one processor, which performs the following steps: acquiring the target object's blood routine data and activity status, whereby the activity status indicates whether the target object is in a bedridden state, providing comprehensive data support for subsequent analysis and processing; determining the target object's exercise mode based on the activity status, including bed exercise and out-of-bed exercise, thus determining an exercise mode adapted to the target object's physical condition, providing accurate data support for subsequent analysis and processing; determining the target object's exercise level based on the target object's blood routine data, thus achieving quantitative grading of the target object's exercise level, providing accurate data support for subsequent analysis and processing; and determining the target object's exercise program based on the target object's exercise mode and exercise level. This solves the problem of low matching degree between exercise programs and hematopoietic stem cell transplant recipients in the prior art, achieving refined determination of the target object's exercise program, making the exercise program more suitable for the target object's physical condition, improving the fit between the exercise program and the target object, and providing refined data support for the target object's exercise.

[0010] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a flowchart illustrating the steps performed by a motion scheme determination system according to an embodiment of the present invention; Figure 2 This is a flowchart of the steps performed by the motion scheme determination system provided in another embodiment of the present invention; Figure 3 This is a schematic diagram of a motion scheme determination device provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. Detailed Implementation

[0013] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0014] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0015] Figure 1This is a flowchart illustrating the steps performed by an exercise program determination system according to an embodiment of the present invention. This embodiment is applicable to determining the exercise program for children undergoing hematopoietic stem cell transplantation. The steps performed by the exercise program determination system can be executed by an exercise program determination device, which can be implemented in hardware and / or software. This device can be configured in the electronic device provided in this embodiment of the present invention. The electronic device can be a server, computer, or mobile terminal, such as a mobile phone or tablet computer. Figure 1 As shown, the specific steps performed by the motion scheme determination system include: S110. Obtain the target object's blood routine data and activity status. The activity status is used to characterize whether the target object is in a bedridden state.

[0016] The target subjects are those who have undergone hematopoietic stem cell transplantation. For example, the target subjects could be children who have undergone hematopoietic stem cell transplantation. Complete blood count (CBC) data refers to hematological parameters characteristic of the target subjects. Optionally, the CBC data may include hemoglobin concentration and platelet count. The CBC data can be obtained from a CBC database. For example, the CBC data can be obtained by matching the target subject's unique identifier in the database, which can store CBC data for different subjects. Activity status indicates whether the target subject is in a bedridden state. Activity status includes being bedridden and also includes being active. Different activity statuses correspond to different activity status identifiers, which include, but are not limited to, text, letters, and colors. For example, when the target subject is in a bedridden state, the corresponding activity status identifier is 0; when the target subject is active, the corresponding activity status identifier is 1. The target subject's activity status can be obtained through an activity status assessment form. For example, the target subject completes an activity status assessment form, and the activity status is determined based on the score. The activity status of a target object can also be obtained from an activity status database. For example, the activity status of a target object can be obtained by matching its unique identifier information in the activity status database. The activity status database can store the activity status of different objects.

[0017] Specifically, the unique identifier of the target object is used to match the blood routine data and activity status in the blood routine database and the activity status database respectively, so as to obtain the blood routine data and activity status of the target object, providing comprehensive data support for subsequent analysis and processing.

[0018] Optionally, the processor is also configured to perform the following steps: judging the blood routine data of the target object based on the basic motion conditions, the basic motion conditions including blood routine thresholds; if the blood routine data of the target object does not meet the basic motion conditions, generating a first prompt message based on the blood routine data of the target object, the first prompt message being used to characterize the abnormality of the blood routine data of the target object.

[0019] The exercise baseline conditions are the rules for determining whether a target individual possesses the physiological conditions to engage in exercise. These conditions include blood routine thresholds, which are pre-set critical values ​​for blood routine indicators. For example, blood routine thresholds may include minimum hemoglobin concentration and / or minimum platelet count. If a target individual's blood routine data does not meet the exercise baseline conditions, it may mean that the data exceeds the blood routine thresholds. The first warning message is a warning indicating that the target individual's blood routine data is abnormal and unsuitable for exercise. The first warning message can take the form of text or sound. When the target individual's hemoglobin concentration is less than the minimum hemoglobin concentration and / or platelet count is less than the minimum platelet count, it indicates that the target individual's blood routine data does not meet the exercise baseline conditions, and the processor triggers the first warning message generation logic to generate the first warning message.

[0020] Specifically, the system compares the target subject's blood routine data with the blood routine threshold. When the target subject's blood routine data is less than the blood routine threshold, the processor triggers the first prompt information generation logic to generate the first prompt information, thus realizing intelligent early warning of pre-exercise risks, which helps to reduce the safety of the target subject's post-operative exercise.

[0021] S120. Determine the movement mode of the target object based on the activity state. The movement mode includes movement in bed and movement outside the bed.

[0022] The movement mode refers to the type of movement of the target object. Movement modes include bed movement and off-bed movement. The movement mode can be determined based on the activity state. It can be determined according to the mapping relationship between the activity state and the movement mode. For example, when the activity state is that the target object is in a bedridden state, the movement mode is bed movement; when the activity state is that the target object is not in a bedridden state, the movement mode is off-bed movement.

[0023] Specifically, based on the mapping relationship between activity state and movement mode, the movement mode of the target object is determined, realizing the determination of the movement mode adapted to the physical state of the target object, and providing accurate data support for subsequent analysis and processing.

[0024] S130. Determine the target object's exercise level based on the target object's blood routine data.

[0025] Among them, exercise level is information characterizing the exercise tolerance of the target subject. Exercise level can be determined based on the target subject's complete blood count (CBC) data; different CBC ranges correspond to different exercise levels. For example, by matching the target subject's CBC data with the exercise level grading rules, the corresponding exercise level of the target subject can be determined, achieving quantitative grading of the target subject's exercise level and providing accurate data support for subsequent analysis and processing.

[0026] S140. Determine the motion scheme of the target object based on the motion mode and motion level of the target object.

[0027] The exercise plan is an execution plan that guides the target subject to exercise. Optionally, the exercise plan includes exercise type, exercise duration, and exercise intensity. Exercise type refers to the form of exercise performed by the target subject. Exercise types include, but are not limited to, breathing exercises and limb joint movements. Exercise duration is the length of time the target subject performs a single exercise session. Exercise intensity characterizes the intensity of the exercise. The exercise plan can be determined based on the target subject's exercise method and exercise level. For example, based on the target subject's exercise method, a screening process can be performed in an exercise plan database to identify candidate exercise methods that match the target subject's exercise method. Based on the target subject's exercise level, the appropriate exercise level can be determined from the candidate exercise methods. The candidate exercise methods that match the target subject's exercise level are then used as the target subject's exercise plan. The exercise plan database can store different exercise methods and exercise levels.

[0028] Specifically, the exercise program database is used to filter exercise programs based on the target individual's exercise style to identify candidate exercise programs that match the target individual's exercise style. Then, based on the target individual's exercise level, the candidate exercise programs are selected to match the target individual's exercise level. This process enables the precise determination of the target individual's exercise program, making the exercise program more closely aligned with the target individual's physical condition, improving the fit between the exercise program and the target individual, and providing refined data support for the target individual's exercise.

[0029] Optionally, the processor is also configured to perform the following steps: in response to a request input operation from a target object, obtain a question to be processed; determine a reasoning chain based on the question to be processed, the reasoning chain including multiple reasoning steps; and execute the reasoning process of each reasoning step step by step in a preset knowledge graph based on the reasoning chain to determine the processing result corresponding to the question to be processed, the processing result including the response information corresponding to the question to be processed.

[0030] The input request from the target object can be performed through the interactive interface of the motion plan determination system. The target object can make the input request through input devices, including but not limited to physical input devices and virtual input devices. Physical input devices include, but are not limited to, a mouse and keyboard, while virtual input devices include, but are not limited to, a virtual keyboard. The problem to be processed is the question that the motion plan determination system processes and answers. The problem to be processed includes, but is not limited to, natural language questions. For example, the problem to be processed could be "Can the duration of the breathing exercise in the motion plan be extended?". The inference chain is the logical reasoning path for processing and answering the problem to be processed. The inference chain includes multiple reasoning steps. The inference chain can be determined based on the problem to be processed. For example, the problem to be processed can be input into a trained inference chain determination model for processing to obtain the inference chain. The inference chain determination model includes, but is not limited to, a neural network model. The inference chain determination model is selected according to requirements, and this invention is not limited to this. The reasoning process, which involves executing each reasoning step step by step in a preset knowledge graph based on the inference chain, can be performed step by step in the preset knowledge graph according to the execution order of the reasoning steps. The processing result is the answer to the problem obtained by the motion plan determination system after performing reasoning in the knowledge graph based on the inference chain. The processing result includes the response information corresponding to the problem to be processed.

[0031] Specifically, the target object inputs the problem to be processed through the interactive interface of the motion scheme determination system via an input device; the problem to be processed is input into the trained inference link determination model for processing to obtain the inference link; according to the execution order of the inference steps, the inference is performed step by step in the preset knowledge graph to obtain the processing result corresponding to the problem to be processed, thus realizing the solution to the problem to be processed and providing accurate data support for the target object's subsequent decision-making.

[0032] The technical solution of this embodiment discloses an exercise program determination system. This system is equipped with at least one processor, which performs the following steps: acquiring the target object's blood routine data and activity status. The activity status characterizes whether the target object is in a bedridden state, providing comprehensive data support for subsequent analysis and processing; determining the target object's exercise mode based on the activity status, including bed exercise and off-bed exercise, thus determining an exercise mode adapted to the target object's physical condition, providing accurate data support for subsequent analysis and processing; determining the target object's exercise level based on the target object's blood routine data, realizing the quantitative grading of the target object's exercise level, providing accurate data support for subsequent analysis and processing; and determining the target object's exercise program based on the target object's exercise mode and exercise level, realizing the refined determination of the target object's exercise program, making the exercise program more suitable for the target object's physical condition, improving the adaptability of the exercise program and the target object, and providing refined data support for the target object's exercise.

[0033] Figure 2 This is a flowchart illustrating the steps performed by a motion scheme determination system provided in another embodiment of the present invention. This embodiment is a refinement of the above embodiments, providing a more detailed explanation of determining the motion level of a target object based on its blood routine data. For specific implementation details, please refer to the technical solution of this embodiment. Technical terms that are the same as or corresponding to those in the above embodiments will not be repeated here. Figure 2 As shown, the specific steps performed by the motion scheme determination system include: S210. Obtain the target object's blood routine data and activity status. The activity status is used to characterize whether the target object is in a bedridden state.

[0034] S220. Determine the movement mode of the target object based on the activity state. The movement mode includes movement in bed and movement outside the bed.

[0035] S230. Match the target object's blood routine data within the blood routine threshold range corresponding to each exercise level to determine the blood routine threshold range to which the target object's blood routine data belongs, and determine the target object's exercise level based on the successfully matched blood routine threshold range.

[0036] The blood routine test threshold range is preset. Optionally, at least two exercise levels are allowed; different exercise levels correspond to different blood routine test threshold ranges. There is a mapping relationship between exercise levels and blood routine test threshold ranges; different blood routine test threshold ranges correspond to different exercise levels. The blood routine test threshold range can be determined based on the mapping relationship between exercise levels and blood routine test threshold ranges. For example, the blood routine test data of a target object is matched against multiple preset blood routine test threshold ranges to determine the blood routine test threshold range to which the target object's blood routine test data belongs. Based on the mapping relationship between exercise levels and blood routine test threshold ranges, the exercise level corresponding to the blood routine test threshold range to which the target object's blood routine test data belongs is determined, and the exercise level corresponding to the blood routine test threshold range to which the target object's blood routine test data belongs is taken as the target object's exercise level.

[0037] Specifically, the target object's blood routine data is matched within multiple pre-set blood routine threshold ranges to determine the threshold range to which the target object's blood routine data belongs. Based on the mapping relationship between exercise level and blood routine threshold range, the exercise level corresponding to the threshold range to which the target object's blood routine data belongs is determined. The exercise level corresponding to the threshold range to which the target object's blood routine data belongs is taken as the target object's exercise level, thus achieving accurate determination of the target object's exercise level and providing accurate data support for subsequent analysis and processing.

[0038] For example, the exercise level includes low, medium, and high; the exercise level of the target object is divided as follows: if the blood routine data is greater than or equal to the first blood routine data threshold and less than or equal to the second blood routine data threshold, the exercise level of the target object is low; if the blood routine data is greater than the second blood routine data threshold and less than or equal to the third blood routine data threshold, the exercise level of the target object is medium; if the blood routine data is greater than the third blood routine data threshold, the exercise level of the target object is high; wherein, the first blood routine data threshold is less than the second blood routine data threshold, and the second blood routine data threshold is less than the third blood routine data threshold.

[0039] The first blood routine data thresholds include the first hemoglobin concentration threshold and the first platelet count threshold. The first hemoglobin concentration threshold can be 60 g / L, and the first platelet count threshold is 11 × 10⁻⁶ g / L. 9 Per liter. The second complete blood count (CBC) data thresholds include the second hemoglobin concentration threshold and the second platelet count threshold. The second hemoglobin concentration threshold can be 69 g / L, and the second platelet count threshold is 20 × 10⁻⁶ g / L. 9 Per liter. The threshold values ​​for the third complete blood count include the third hemoglobin concentration threshold and the third platelet count threshold. The third hemoglobin concentration threshold can be 80 g / L, and the third platelet count threshold is 30 × 10⁻⁶ g / L. 9 Per liter. When the target object's hemoglobin concentration is greater than or equal to the first hemoglobin concentration threshold and less than or equal to the second hemoglobin concentration threshold, or its platelet count is greater than or equal to the first platelet count threshold and less than or equal to the second platelet count threshold, the target object's movement level is low. When the target object's hemoglobin concentration is greater than the second hemoglobin concentration threshold and less than or equal to the third hemoglobin concentration threshold, or its platelet count is greater than the second platelet count threshold and less than or equal to the third platelet count threshold, the target object's movement level is medium. When the target object's hemoglobin concentration is greater than the third hemoglobin concentration threshold or its platelet count is greater than the third platelet count threshold, the target object's movement level is high.

[0040] S240. Determine the motion scheme of the target object based on the motion mode and motion level of the target object.

[0041] Optionally, the exercise plan for the target object is determined based on the target object's exercise mode and exercise level, including: obtaining multiple pre-set exercise plans, each exercise plan being configured with an exercise mode label and an exercise level label; matching the target object's exercise mode and exercise level with each exercise plan to determine the exercise plan suitable for the target object.

[0042] The exercise plan can be pre-set. Exercise plans can be obtained from an exercise plan database, which can store multiple different exercise plans. Each exercise plan is configured with an exercise mode tag and an exercise level tag. The exercise mode tag indicates the exercise mode corresponding to the exercise plan, and the exercise level tag indicates the exercise level corresponding to the exercise plan. The exercise plan for the target object can be determined based on the target object's exercise mode and exercise level. For example, matching the target object's exercise mode with the exercise mode tags of each exercise plan determines the exercise plan that matches the target object's exercise mode; matching the target object's exercise level with the exercise level tags of the exercise plans that match the target object's exercise mode determines the exercise plan suitable for the target object.

[0043] Specifically, multiple pre-set exercise plans are obtained from the exercise plan database; the exercise mode of the target object is matched with the exercise mode tags of each exercise plan to determine the exercise plan that matches the target object's exercise mode; the exercise level of the target object is matched with the exercise level tags of the exercise plans that match the target object's exercise mode to determine the exercise plan that is suitable for the target object. This achieves accurate determination of the exercise plan that is suitable for the target object, making the exercise plan more suitable for the target object, improving the adaptability of the exercise plan and the target object, and providing accurate data support for the target object's exercise.

[0044] Based on the above embodiments, the target object's exercise mode is bed exercise. When the target object's exercise level is low, the exercise program suitable for the target object is as follows: breathing exercises (pursed-lip breathing, 2-5 sets per day, 6-8 times per set; abdominal breathing, 2-5 sets per day, 6-8 times per set); antigravity exercises (straight leg raises, 2-5 sets per leg per day, 10-15 times per set); resistance exercises (holding an elastic ball, 2-5 sets per hand per day, 10-15 times per set); stretching exercises (active stretching, 2-5 sets per day, 10-15 times per set; ankle pump exercises, 2-5 sets per day, 10-15 times per set).

[0045] If the target individual's exercise mode is off-bed exercise and their exercise level is intermediate, the appropriate exercise program is as follows: Breathing exercises (pursed-lip breathing, 2-5 sets per day, 6-8 repetitions per set; abdominal breathing, 2-5 sets per day, 6-8 repetitions per set); Balance exercises (single-leg standing, 2-5 sets per leg per day, 15-30 seconds per set; jumping single-leg standing, 5-10 sets per leg per day, 3-5 seconds per set); Anti-gravity exercises (seated leg raises + bridge exercises + supine leg raises, 2-5 sets per day, 10-15 repetitions per set); Resistance exercises (holding an elastic ball + pushing against a wall, 2-5 sets per day, 10-15 repetitions per set); Stretching exercises (ankle pump exercises, 2-3 sets per day, 15-20 repetitions per set).

[0046] If the target individual's exercise mode is off-bed exercise and their exercise level is advanced, the appropriate exercise program is as follows: Breathing exercises (pursed-lip breathing, 2-5 sets per day, 6-8 repetitions per set; abdominal breathing, 2-5 sets per day, 6-8 repetitions per set); Balance exercises (stepping on stones game, 1-2 sets per day, 30-60 seconds per set; jumping on one leg, 5-10 sets per leg per day, 3-5 seconds per set); Aerobic exercises (recumbent bicycle, 10 minutes); Resistance exercises (wall pushing exercises + holding an elastic ball + using an elastic band + "shell" exercises, 3-6 sets per day, 10-15 repetitions per set, with 2-3 minutes of rest between sets); Stretching exercises (ankle pump exercises, 2-3 sets per day, 15-20 repetitions per set).

[0047] Optionally, the processor is also configured to perform the following steps: real-time acquisition of physiological data of the target object during the execution of the exercise plan, the physiological data including at least one of heart rate, blood pressure and respiratory rate; if the physiological data is greater than a preset physiological data threshold, generating a second prompt message based on the physiological data, the second prompt message being used to prompt the target object to stop executing the exercise plan.

[0048] The physiological data refers to the physical skill indicators generated by the target subject during the execution of the exercise program. Physiological data includes at least one of heart rate, blood pressure, and respiratory rate. Physiological data can be acquired through physiological data acquisition devices. For example, heart rate can be monitored in real-time using a pulse oximeter, blood pressure can be monitored in real-time using a wrist blood pressure monitor, and respiratory rate can be monitored in real-time using a chest patch respiratory sensor. The second prompt message is a warning message generated when the physiological data exceeds a preset physiological data threshold, used to prompt the target subject to stop executing the exercise program. When the target subject's physiological data exceeds the preset physiological data threshold, the processor triggers the second prompt message generation logic to generate the second prompt message. The form of the second prompt message includes, but is not limited to, text and sound. For example, the second prompt message can be the text "Physiological data exceeds the physiological data threshold, please stop exercising."

[0049] Specifically, physiological data of the target object is collected in real time during the execution of the exercise plan through physiological data acquisition equipment; when the physiological data of the target object exceeds the preset physiological data threshold, the second prompt information generation logic is triggered to generate a second prompt information, which can dynamically monitor the movement status of the target object throughout the process, realize real-time early warning, and help ensure the safety of the target object during the exercise process.

[0050] Optionally, the processor is also used to perform the following steps: acquiring historical blood routine data of the target object; determining the blood routine data change trend information of the target object based on the historical blood routine data and the blood routine data; and updating the exercise plan corresponding to the target object based on the blood routine data change trend information.

[0051] Historical blood routine data refers to the blood routine data obtained from the target subject before collecting their actual blood routine data. For example, historical blood routine data may include multiple historical blood routine data points for the target subject before and after the hematopoietic stem cell transplantation. The target subject's historical blood routine data can be obtained from a historical blood routine data database. For example, matching the target subject's unique identifier in the historical blood routine data database yields the target subject's historical blood routine data. This database can store historical blood routine data for different subjects. Blood routine data change trend information is data characterizing the changes in the target subject's blood routine data. For example, by fitting the target subject's historical blood routine data and actual blood routine data, the target subject's blood routine data change trend information can be obtained. This trend information may include an upward trend, a downward trend, or stable blood routine data. The exercise plan for the target object can be updated based on the trend information of blood routine data. This can be done by increasing the exercise duration in the exercise plan when the blood routine data shows an upward trend, shortening the exercise duration in the exercise plan when the blood routine data shows a downward trend, and keeping the exercise plan unchanged when the blood routine data shows a stable trend.

[0052] Specifically, the system matches the target object's unique identifier in the historical blood routine database to obtain the target object's historical blood routine data; it then fits the target object's historical blood routine data and the current blood routine data to obtain the target object's blood routine data change trend information; based on the blood routine data change trend information, it updates the corresponding exercise plan for the target object, making the updated exercise plan more closely match the target object and providing more accurate data support for the target object's exercise.

[0053] The technical solution of this embodiment discloses an exercise program determination system. This system is equipped with at least one processor, which performs the following steps: acquiring the target object's blood routine data and activity status. The activity status indicates whether the target object is in a bedridden state, providing comprehensive data support for subsequent analysis and processing; determining the target object's exercise mode based on the activity status, including bed exercise and off-bed exercise, thus determining an exercise mode adapted to the target object's physical condition, providing accurate data support for subsequent analysis and processing; matching the target object's blood routine data within the blood routine threshold range corresponding to each exercise level, determining the blood routine threshold range to which the target object's blood routine data belongs, and determining the target object's exercise level based on the successfully matched blood routine threshold range, thus accurately determining the target object's exercise level, providing accurate data support for subsequent analysis and processing; and determining the target object's exercise program based on the target object's exercise mode and exercise level, achieving refined determination of the target object's exercise program, making the exercise program more suitable for the target object's physical condition, improving the fit between the exercise program and the target object, and providing refined data support for the target object's exercise.

[0054] Figure 3 This is a schematic diagram of a motion scheme determination device provided in an embodiment of the present invention. Figure 3 As shown, the device includes a data acquisition module 310, a motion mode determination module 320, a motion level determination module 330, and a motion scheme determination module 340.

[0055] The data acquisition module 310 is used to acquire the target object's blood routine data and activity status, whereby the activity status indicates whether the target object is in a bedridden state; the exercise mode determination module 320 is used to determine the target object's exercise mode based on the activity status, whereby the exercise mode includes bed exercise and out-of-bed exercise; the exercise level determination module 330 is used to determine the target object's exercise level based on the target object's blood routine data; and the exercise plan determination module 340 is used to determine the target object's exercise plan based on the target object's exercise mode and exercise level.

[0056] The technical solution of this embodiment acquires the target object's blood routine data and activity status through a data acquisition module. The activity status indicates whether the target object is in a bedridden state, providing comprehensive data support for subsequent analysis and processing. A movement mode determination module determines the target object's movement mode based on its activity status. Movement modes include bed exercises and out-of-bed exercises, enabling the determination of movement modes adapted to the target object's physical condition, providing accurate data support for subsequent analysis and processing. A movement level determination module determines the target object's movement level based on its blood routine data, achieving quantitative grading of the target object's movement level, providing accurate data support for subsequent analysis and processing. A movement plan determination module determines the target object's movement plan based on its movement mode and movement level, achieving refined determination of the target object's movement plan. This makes the movement plan more suitable for the target object's physical condition, improving the fit between the movement plan and the target object, and providing refined data support for the target object's movement.

[0057] Based on the above embodiments, optionally, the target subject's routine blood data includes hemoglobin concentration and platelet count; the exercise program includes exercise type, exercise duration and exercise intensity.

[0058] Optionally, the device further includes a first prompt information generation module, used to: judge the blood routine data of the target object based on the exercise basic conditions, the exercise basic conditions including blood routine thresholds; and generate a first prompt information based on the blood routine data of the target object when the blood routine data of the target object does not meet the exercise basic conditions, the first prompt information being used to characterize the abnormality of the blood routine data of the target object.

[0059] Optionally, the exercise level determination module 330 is further configured to: match the blood routine data of the target object within the blood routine threshold range corresponding to each exercise level, determine the blood routine threshold range to which the blood routine data of the target object belongs, and determine the exercise level of the target object based on the successfully matched blood routine threshold range.

[0060] Optionally, there are at least two exercise levels; different exercise levels correspond to different blood routine threshold ranges.

[0061] Optionally, the exercise plan determination module 340 is also used to: acquire multiple pre-set exercise plans, each exercise plan being configured with an exercise mode label and an exercise level label; and match the exercise mode and exercise level of the target object with each exercise plan to determine an exercise plan suitable for the target object.

[0062] Optionally, the device further includes a second prompt information generation module, used to: acquire physiological data of the target object in real time during the execution of the exercise plan, the physiological data including at least one of heart rate, blood pressure and respiratory rate; and generate a second prompt information based on the physiological data when the physiological data exceeds a preset physiological data threshold, the second prompt information being used to prompt the target object to stop executing the exercise plan.

[0063] Optionally, the device also includes an exercise plan update module, used to: acquire historical blood routine data of the target object; determine the blood routine data change trend information of the target object based on the historical blood routine data and the blood routine data; and update the exercise plan corresponding to the target object based on the blood routine data change trend information.

[0064] Optionally, the device further includes a processing result determination module, used to: obtain the question to be processed in response to the request input operation of the target object; determine the reasoning link based on the question to be processed, the reasoning link including multiple reasoning steps; and execute the reasoning process of each reasoning step step by step in a preset knowledge graph based on the reasoning link to determine the processing result corresponding to the question to be processed, the processing result including the response information corresponding to the question to be processed.

[0065] The motion scheme determination device provided in the embodiments of the present invention can execute the steps performed by the motion scheme determination system provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the steps performed by the motion scheme determination system.

[0066] Figure 4 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0067] like Figure 4As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0068] Multiple components in electronic device 10 are connected to input / output (I / O) interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of monitors, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0069] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various steps described above, such as acquiring the target object's blood routine data and activity status, the activity status being used to characterize whether the target object is in a bedridden state; determining the target object's movement mode based on the activity status, the movement mode including bed movement and off-bed movement; determining the target object's movement level based on the target object's blood routine data; and determining the target object's movement plan based on the target object's movement mode and movement level.

[0070] In some embodiments, the steps performed by the motion scheme determination system may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via read-only memory (ROM) 12 and / or communication unit 19. When the computer program is loaded into random access memory (RAM) 13 and executed by processor 11, one or more steps of the motion scheme determination system described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the steps of the motion scheme determination system by any other suitable means (e.g., by means of firmware).

[0071] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transferring data and instructions to the storage system, the at least one input device, and the at least one output device.

[0072] The computer program used to implement the motion scheme determination system of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer program causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer program can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0073] This invention also provides a computer-readable storage medium storing computer instructions for causing a processor to execute steps performed by a motion scheme determination system. These steps include: Acquire the target subject's blood routine data and activity status, which indicates whether the target subject is in a bedridden state; determine the target subject's exercise mode based on the activity status, including bed exercise and off-bed exercise; determine the target subject's exercise level based on the target subject's blood routine data; and determine the target subject's exercise plan based on the target subject's exercise mode and exercise level.

[0074] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0075] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0076] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0077] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0078] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0079] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A motion scheme determination system, characterized in that, The system is configured with at least one processor, which performs the following steps: Obtain the blood routine data and activity status of the target object, wherein the activity status is used to characterize whether the target object is in a bedridden state; The movement mode of the target object is determined based on the activity state, and the movement mode includes movement in bed and movement outside the bed; The exercise level of the target object is determined based on the target object's blood routine data; The motion scheme of the target object is determined based on the motion mode and motion level of the target object.

2. The system according to claim 1, characterized in that, The target subject's routine blood data includes hemoglobin concentration and platelet count; The exercise program includes the type of exercise, duration of exercise, and intensity of exercise.

3. The system according to claim 1, characterized in that, The processor is also configured to perform the following steps: The blood routine data of the target object are judged based on the basic conditions of exercise, including blood routine thresholds; If the target object's blood routine data does not meet the basic exercise conditions, a first prompt message is generated based on the target object's blood routine data. The first prompt message is used to characterize the abnormality of the target object's blood routine data.

4. The system according to claim 1, characterized in that, Determining the exercise level of the target object based on its blood routine data includes: The blood routine data of the target object are matched within the blood routine threshold range corresponding to each exercise level to determine the blood routine threshold range to which the blood routine data of the target object belongs, and the exercise level of the target object is determined based on the successfully matched blood routine threshold range. The exercise level is at least two types; different exercise levels correspond to different blood routine threshold ranges. And, determining the motion scheme of the target object based on the motion mode and the motion level of the target object includes: Multiple pre-set exercise programs are obtained, each of which is configured with an exercise mode label and an exercise level label; Based on the movement mode and movement level of the target object, a movement scheme suitable for the target object is determined by matching it with each of the movement schemes.

5. The system according to claim 1, characterized in that, The processor is also configured to perform the following steps: The physiological data of the target object during the execution of the exercise program are acquired in real time, and the physiological data includes at least one of heart rate, blood pressure and respiratory rate; If the physiological data exceeds a preset physiological data threshold, a second prompt message is generated based on the physiological data. The second prompt message is used to prompt the target object to stop executing the exercise plan.

6. The system according to claim 1, characterized in that, The processor is also configured to perform the following steps: Obtain the historical blood routine data of the target object; Based on the historical blood routine data and the blood routine data, determine the blood routine data change trend information of the target object; The exercise plan corresponding to the target object is updated based on the trend information of the blood routine data.

7. The system according to claim 1, characterized in that, The processor is also configured to perform the following steps: In response to the request input operation of the target object, obtain the problem to be processed; Based on the problem to be solved, a reasoning chain is determined, and the reasoning chain includes multiple reasoning steps; Based on the reasoning link, the reasoning process of each reasoning step is executed step by step in the preset knowledge graph to determine the processing result corresponding to the problem to be processed. The processing result includes the response information corresponding to the problem to be processed.

8. A motion scheme determination device, characterized in that, include: The data acquisition module is used to acquire the blood routine data and activity status of the target object, wherein the activity status is used to indicate whether the target object is in a bedridden state; A movement mode determination module is used to determine the movement mode of the target object based on the activity state, wherein the movement mode includes bed movement and off-bed movement; An exercise level determination module is used to determine the exercise level of the target object based on the target object's blood routine data; The motion scheme determination module is used to determine the motion scheme of the target object based on the motion mode and the motion level of the target object.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause the processor to perform the following steps: Obtain the blood routine data and activity status of the target object, wherein the activity status is used to characterize whether the target object is in a bedridden state; The movement mode of the target object is determined based on the activity state, and the movement mode includes movement in bed and movement outside the bed; The exercise level of the target object is determined based on the target object's blood routine data; The motion scheme of the target object is determined based on the motion mode and motion level of the target object.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, performs the following steps: Obtain the blood routine data and activity status of the target object, wherein the activity status is used to characterize whether the target object is in a bedridden state; The movement mode of the target object is determined based on the activity state, and the movement mode includes movement in bed and movement outside the bed; The exercise level of the target object is determined based on the target object's blood routine data; The motion scheme of the target object is determined based on the motion mode and motion level of the target object.

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