Scoliosis correction identification method and system based on sensing communication equipment

Abstract

The invention provides a scoliosis correction identification method and system based on sensing communication equipment, and the method comprises the steps: obtaining the equipment sensing data of correction sensing equipment disposed at each position point of a correction instrument, and the instrument structure data of the correction instrument, and constructing an instrument three-dimensional structure model of the correction instrument based on the instrument structure data; based on the equipment sensing data of each position point, constructing an equipment sensing distribution diagram of the correction sensing equipment, and based on the equipment sensing distribution diagram and the instrument three-dimensional structure model, identifying scoliosis correction information of the patient; and identifying correction abnormality information of the patient and correction adjustment information of the patient based on the scoliosis correction information, and identifying current scoliosis recovery information of the patient through a scoliosis correction identification network based on the correction abnormality information of the patient and the correction adjustment information of the patient. By adopting the scheme, the identification efficiency of the scoliosis correction condition can be improved.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things and sensor communication technology, and in particular to a scoliosis correction and identification method and system based on sensor communication equipment. Background Art

[0002] Scoliosis correction technology is a medical correction and treatment method for abnormal scoliosis of the spine. During the correction process, medical staff often perform correction by having the patient wear a correction instrument. However, due to the fixedness and difficulty in disassembly of the correction instrument, it is impossible to check the patient's correction status in time. The patient needs to rush to the hospital on time to disassemble the correction instrument and re-test the patient to analyze the patient's recovery status, resulting in poor recognition accuracy and timeliness of the recovery correction. Therefore, how to improve the real-time recognition of scoliosis correction in patients is the current research focus.

[0003] The traditional method of identifying scoliosis correction is for medical staff to manually disassemble the correction instrument, scan and identify the patient, and reinstall the correction instrument. However, this method is costly and the timeliness of correction identification for patients is poor, resulting in low efficiency in identifying scoliosis correction. Summary of the invention

[0004] The main purpose of the present invention is to provide a scoliosis correction and identification method based on a sensor communication device, aiming to solve the problem that the existing technology has high cost and poor timeliness of correction and identification for patients, resulting in low recognition efficiency of scoliosis correction.

[0005] To achieve the above object, the present invention provides a scoliosis correction and identification method based on a sensor communication device, the method comprising:

[0006] Acquire device sensing data of a calibration sensing device disposed at each position point of the calibration instrument and device structure data of the calibration instrument, and construct a three-dimensional device structure model of the calibration instrument based on the device structure data;

[0007] Based on the device sensing data of each of the position points, construct a device sensing distribution map of the correction sensing device, and based on the device sensing distribution map and the three-dimensional structure model of the instrument, identify the patient's scoliosis correction information;

[0008] Based on the scoliosis correction information, the patient's correction abnormality information and the patient's correction adjustment information are identified, and based on the patient's correction abnormality information and the patient's correction adjustment information, the patient's current scoliosis recovery information is identified through a scoliosis correction identification network.

[0009] Optionally, constructing the instrument three-dimensional structure model of the calibration instrument based on the instrument structure data includes:

[0010] Based on the three-dimensional structure model of the calibration instrument, identifying the three-dimensional position data of each position point of the calibration instrument;

[0011] Based on the three-dimensional position data of each of the position points, a three-dimensional structural model of the calibration instrument is constructed through a three-dimensional modeling strategy.

[0012] Optionally, constructing a device sensing distribution map of the calibration sensing device based on the device sensing data of each of the location points includes:

[0013] For each device sensing data, identifying the pressure change data of the patient and the vibration change data of the patient;

[0014] Based on the patient's pressure change data and the patient's vibration change data, the patient's structural support change distribution information is generated, and the structural support change distribution information corresponding to each device sensor data is three-dimensionally distributed according to the position points corresponding to each device sensor data to obtain the device sensor distribution map of the correction sensor device.

[0015] Optionally, the identifying the patient's scoliosis correction information based on the device sensor distribution map and the instrument three-dimensional structure model includes:

[0016] Projecting the device sensor distribution map onto the instrument three-dimensional structure model to obtain the instrument sensor distribution information and obtain the patient's scoliosis information;

[0017] Based on the scoliosis information and the three-dimensional structure model of the instrument, initial instrument sensor distribution information of the correction instrument is generated, and based on the initial instrument sensor distribution information and the instrument sensor distribution information, each difference sensor distribution range and the difference information corresponding to each difference sensor distribution range are identified;

[0018] Each of the difference sensing distribution ranges and the difference information corresponding to each of the difference sensing distribution ranges are used as the scoliosis correction information of the patient.

[0019] Optionally, the identifying the correction abnormality information of the patient and the correction adjustment information of the patient based on the scoliosis correction information includes:

[0020] Identify the difference type corresponding to each difference information, and based on the difference type of each difference information, evaluate the difference evaluation value of each difference information by using the difference evaluation strategy of each difference type;

[0021] Based on the difference evaluation value of each difference information, each difference information is divided into each correction abnormality information and each correction adjustment information.

[0022] Optionally, the identifying the current scoliosis recovery information of the patient through a scoliosis correction identification network based on the correction abnormality information of the patient and the correction adjustment information of the patient includes:

[0023] For each correction adjustment information, based on the difference information corresponding to the correction adjustment information and the difference sensing distribution range corresponding to the correction adjustment information, the adjustment recovery information corresponding to the correction adjustment information is identified through a scoliosis correction identification network;

[0024] For each correction abnormal information, based on the difference information corresponding to the correction abnormal information and the difference sensing distribution range corresponding to the correction abnormal information, the abnormal correction information corresponding to the correction abnormal information is obtained through the scoliosis correction recognition network;

[0025] Each of the adjustment recovery information and each of the abnormal correction information is used as the patient's current scoliosis recovery information.

[0026] In addition, to achieve the above-mentioned purpose, the present invention also provides a scoliosis correction and identification system based on a sensor communication device, the scoliosis correction and identification system based on a sensor communication device comprises:

[0027] An acquisition module, used to acquire device sensing data of a calibration sensing device arranged at each position point of the calibration instrument and device structure data of the calibration instrument, and to construct a three-dimensional device structure model of the calibration instrument based on the device structure data;

[0028] A construction module, for constructing a device sensing distribution map of the correction sensing device based on the device sensing data of each of the position points, and identifying the patient's scoliosis correction information based on the device sensing distribution map and the instrument three-dimensional structure model;

[0029] An identification module is used to identify the patient's correction abnormality information and the patient's correction adjustment information based on the scoliosis correction information, and to identify the patient's current scoliosis recovery information through a scoliosis correction identification network based on the patient's correction abnormality information and the patient's correction adjustment information.

[0030] Optionally, the acquisition module is specifically used to:

[0031] Based on the three-dimensional structure model of the calibration instrument, identifying the three-dimensional position data of each position point of the calibration instrument;

[0032] Based on the three-dimensional position data of each of the position points, a three-dimensional structural model of the calibration instrument is constructed through a three-dimensional modeling strategy.

[0033] Optionally, the building module is specifically used to:

[0034] For each device sensing data, identifying the pressure change data of the patient and the vibration change data of the patient;

[0035] Based on the patient's pressure change data and the patient's vibration change data, the patient's structural support change distribution information is generated, and the structural support change distribution information corresponding to each device sensor data is three-dimensionally distributed according to the position points corresponding to each device sensor data to obtain the device sensor distribution map of the correction sensor device.

[0036] Optionally, the building module is specifically used for:

[0037] Projecting the device sensor distribution map onto the instrument three-dimensional structure model to obtain the instrument sensor distribution information and obtain the patient's scoliosis information;

[0038] Based on the scoliosis information and the three-dimensional structure model of the instrument, initial instrument sensor distribution information of the correction instrument is generated, and based on the initial instrument sensor distribution information and the instrument sensor distribution information, each difference sensor distribution range and the difference information corresponding to each difference sensor distribution range are identified;

[0039] Each of the difference sensing distribution ranges and the difference information corresponding to each of the difference sensing distribution ranges are used as the scoliosis correction information of the patient.

[0040] Optionally, the identification module is specifically used to:

[0041] Identify the difference type corresponding to each difference information, and based on the difference type of each difference information, evaluate the difference evaluation value of each difference information by using the difference evaluation strategy of each difference type;

[0042] Based on the difference evaluation value of each difference information, each difference information is divided into each correction abnormality information and each correction adjustment information.

[0043] Optionally, the identification module is specifically used to:

[0044] For each correction adjustment information, based on the difference information corresponding to the correction adjustment information and the difference sensing distribution range corresponding to the correction adjustment information, the adjustment recovery information corresponding to the correction adjustment information is identified through a scoliosis correction identification network;

[0045] For each correction abnormal information, based on the difference information corresponding to the correction abnormal information and the difference sensing distribution range corresponding to the correction abnormal information, the abnormal correction information corresponding to the correction abnormal information is obtained through the scoliosis correction recognition network;

[0046] Each of the adjustment recovery information and each of the abnormal correction information is used as the patient's current scoliosis recovery information.

[0047] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0048] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0049] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0050] The present invention provides a scoliosis correction and identification method and system based on sensor interconnection equipment, the method described in the above method includes: obtaining the device sensor data of the correction sensor device set at each position point of the correction instrument, and the instrument structure data of the correction instrument, and constructing the instrument three-dimensional structure model of the correction instrument based on the instrument structure data; constructing the device sensor distribution map of the correction sensor device based on the device sensor data of each of the said positions, and identifying the patient's scoliosis correction information based on the device sensor distribution map and the instrument three-dimensional structure model; based on the scoliosis correction information, identifying the patient's correction abnormality information and the patient's correction adjustment information, and based on the patient's correction abnormality information and the patient's correction adjustment information, identifying the patient's current scoliosis recovery information through a scoliosis correction identification network. In this solution, the patient's device sensor distribution map is collected in real time by the correction sensor device set at each position point of the correction instrument. Therefore, patients do not need to go to the hospital on time for correction status checks. Instead, they can obtain the patient's correction data through real-time sensor collection. Then, this solution combines the generated device sensor distribution map to identify the patient's correction abnormality information and correction adjustment information, and then identifies the patient's current scoliosis recovery information through the scoliosis correction identification network, thereby improving the accuracy and comprehensiveness of scoliosis identification. Finally, this solution collects and identifies the patient's spinal correction status in real time through sensor interconnection identification, thereby providing patients and medical staff with efficient and real-time scoliosis correction status feedback, which not only reduces the cost of scoliosis correction identification, but also improves the efficiency of scoliosis correction identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0052] Figure 1 is a flow chart of a scoliosis correction and identification method based on a sensor communication device provided in an embodiment of the present invention;

[0053] Figure 2 is a structural schematic diagram of a scoliosis correction and identification system based on a sensor communication device provided in an embodiment of the present invention;

[0054] Figure 3 An internal structure diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The scoliosis correction and identification method based on the sensor communication device provided in the embodiment of the present invention is applied to the scoliosis correction and identification system based on the sensor communication device. Unless otherwise defined, all technical and scientific terms used in this article have the same meaning as those generally understood by technicians in the technical field of this application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned drawings and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of this application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0056] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0057] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0058] The scoliosis correction and identification method based on the sensor communication device provided in the embodiment of the present application can be applied to the application environment of scoliosis correction and identification based on the sensor communication device. The method can be applied to the terminal, the server, or the system including the terminal and the server, and is realized through the interaction between the terminal and the server. Among them, the terminal can be, but not limited to, various personal computers, etc. Among them, the terminal collects the patient's device sensor distribution map in real time through the correction sensor device set at each position point of the correction instrument. Therefore, there is no need for the patient to go to the hospital on time for correction status inspection, but the patient's correction data can be obtained by real-time collection of the sensor, and then the scheme combines the generated device sensor distribution map to identify the patient's correction abnormal information and correction adjustment information, and then identifies the patient's current scoliosis recovery information through the scoliosis correction identification network, thereby improving the accuracy and comprehensiveness of scoliosis identification. Finally, the scheme collects and identifies the patient's spinal correction situation in real time through the sensor communication identification method, thereby providing efficient and real-time scoliosis correction feedback for patients and medical staff, which not only reduces the cost of scoliosis correction identification, but also improves the recognition efficiency of scoliosis correction.

[0059] In one embodiment, Figure 1As shown, a scoliosis correction and identification method based on a sensor communication device is provided, and the method is applied to a terminal as an example for explanation, including the following steps:

[0060] Step S101, acquiring device sensing data of a calibration sensing device disposed at each position point of the calibration instrument and device structure data of the calibration instrument, and constructing a three-dimensional device structure model of the calibration instrument based on the device structure data.

[0061] In this embodiment, the terminal obtains the device sensing data of each calibration sensing device by receiving the data transmitted in real time by the calibration sensing device set at each position point of the calibration instrument. The calibrated sensing device includes a pressure sensor and a vibration sensor. Each position point is a position point preset in the calibration instrument by the staff and evenly distributed. The device sensing data includes pressure sensing data and vibration sensing data. Then, the terminal collects the instrument structure data of the calibration instrument based on the linkage positioning instrument set at each position point of the calibration instrument. Then, the terminal constructs the instrument three-dimensional structure model of the tutorial instrument through a three-dimensional modeling program. The specific structural model construction process will be described in detail later.

[0062] Step S102, constructing a device sensing distribution map of the correction sensing device based on the device sensing data of each position point, and identifying the patient's scoliosis correction information based on the device sensing distribution map and the instrument three-dimensional structure model.

[0063] In this embodiment, the terminal constructs a device sensor distribution map of the correction sensor device based on the device sensor data of each position point, and identifies the patient's scoliosis correction information based on the device sensor distribution map and the instrument three-dimensional structure model. The device sensor distribution map is the pressure sensor distribution and vibration sensor distribution of each position point of the correction instrument. The scoliosis correction information includes each difference sensor distribution range and the difference information corresponding to each difference sensor distribution range. The specific identification process will be described in detail later.

[0064] Step S103, based on the scoliosis correction information, identifying the patient's correction abnormality information and the patient's correction adjustment information, and based on the patient's correction abnormality information and the patient's correction adjustment information, identifying the patient's current scoliosis recovery information through a scoliosis correction identification network.

[0065] In this embodiment, the terminal identifies the patient's correction abnormality information and the patient's correction adjustment information based on the scoliosis correction information, and identifies the patient's current scoliosis recovery information through the scoliosis correction identification network based on the patient's correction abnormality information and the patient's correction adjustment information.

[0066] Among them, the correction abnormality information is the difference information of overcorrection, different correction position, different correction direction, different correction angle, or spinal deviation in the area that does not need correction, and the correction adjustment information is the difference information of the area that needs correction according to the preset correction direction, angle, and position. The specific recognition process will be described in detail later. The scoliosis correction recognition network is a classification network based on reinforcement learning.

[0067] Based on the above scheme, the correction sensor devices set at various positions of the correction instrument are used to collect the patient's equipment sensor distribution map in real time. Therefore, the patient does not need to go to the hospital on time for correction status inspection, but can obtain the patient's correction data through real-time collection by sensors. Then, this scheme combines the generated equipment sensor distribution map to identify the patient's correction abnormality information and correction adjustment information, and then identifies the patient's current scoliosis recovery information through the scoliosis correction identification network, thereby improving the accuracy and comprehensiveness of scoliosis identification. Finally, this scheme collects and identifies the patient's spinal correction status in real time through sensor interconnection identification, thereby providing patients and medical staff with efficient and real-time scoliosis correction status feedback, which not only reduces the cost of scoliosis correction identification, but also improves the efficiency of scoliosis correction status identification.

[0068] Optionally, based on the instrument structure data, a three-dimensional structure model of the calibration instrument is constructed, including: based on the three-dimensional structure model of the calibration instrument, identifying the three-dimensional position data of each position point of the calibration instrument; based on the three-dimensional position data of each position point, constructing the three-dimensional structure model of the calibration instrument through a three-dimensional modeling strategy.

[0069] In this embodiment, the terminal identifies the three-dimensional position data of each position point of the calibration instrument based on the three-dimensional structure model of the calibration instrument. The three-dimensional position data is the spatial three-dimensional position information of the position point. Then, based on the three-dimensional position data of each position point, the terminal constructs the three-dimensional structure model of the calibration instrument through a three-dimensional modeling strategy. The three-dimensional modeling strategy is a three-dimensional modeling program set in the terminal, which adjusts the template position according to the three-dimensional structure template of the calibration instrument to obtain a three-dimensional structure model.

[0070] Based on the above scheme, three-dimensional modeling is performed through the three-dimensional position data of each position point to obtain a three-dimensional structural model, thereby improving the construction efficiency and construction accuracy of the three-dimensional structural model.

[0071] Optionally, based on the equipment sensor data of each position point, an equipment sensor distribution map of the correction sensor device is constructed, including: for each equipment sensor data, identifying the patient's pressure change data and the patient's vibration change data; based on the patient's pressure change data and the patient's vibration change data, generating the patient's structural support change distribution information, and performing three-dimensional distribution processing on the structural support change distribution information corresponding to each equipment sensor data according to the position point corresponding to each equipment sensor data, to obtain the equipment sensor distribution map of the correction sensor device.

[0072] In this embodiment, the terminal identifies the patient's pressure change data and the patient's vibration change data for each device sensing data. The pressure change data is the summary information of the pressure data changes between two sensor transmissions. The vibration change data is the summary information of the vibration data changes between two sensor transmissions.

[0073] Then, the terminal generates the patient's structural support change distribution information based on the patient's pressure change data and the patient's vibration change data, and performs three-dimensional distribution processing on the structural support change distribution information corresponding to the sensor data of each device according to the position points corresponding to the sensor data of each device to obtain the device sensor distribution map of the correction sensor device.

[0074] The device sensor distribution diagram is a three-dimensional structure diagram, which is used to characterize the distribution information of pressure data in the patient's calibration instrument, or the distribution information of vibration data in the patient's calibration instrument.

[0075] Based on the above scheme, by performing distribution recognition on various distribution information, a device sensor distribution map is generated, thereby improving the recognition efficiency and accuracy of device sensors.

[0076] Optionally, based on the device sensor distribution map and the instrument three-dimensional structure model, the patient's scoliosis correction information is identified, including: projecting the device sensor distribution map into the instrument three-dimensional structure model to obtain the instrument sensor distribution information, and acquiring the patient's scoliosis information; generating initial instrument sensor distribution information of the correction instrument based on the scoliosis information and the instrument three-dimensional structure model, and identifying each difference sensor distribution range and difference information corresponding to each difference sensor distribution range based on the initial instrument sensor distribution information and the instrument sensor distribution information; using each difference sensor distribution range and the difference information corresponding to each difference sensor distribution range as the patient's scoliosis correction information.

[0077] In this embodiment, the terminal projects the device sensor distribution map onto the instrument three-dimensional structure model to obtain the instrument sensor distribution information and obtain the patient's scoliosis information, wherein the scoliosis information is the patient's scoliosis correction requirement information.

[0078] Then, the terminal generates the initial instrument sensor distribution information of the correction instrument based on the scoliosis information and the instrument three-dimensional structure model, and identifies each difference sensor distribution range and the difference information corresponding to each difference sensor distribution range based on the initial instrument sensor distribution information and the instrument sensor distribution information. The initial instrument sensor distribution information is the sensor distribution information constructed by the pressure distribution range and vibration distribution range that each sensor device in the correction instrument should detect after the scoliosis correction is completed.

[0079] Finally, the terminal uses each difference sensing distribution range and the difference information corresponding to each difference sensing distribution range as the patient's scoliosis correction information.

[0080] Based on the above scheme, by comparing the real-time corrected sensor distribution information with the required initial sensor distribution information, each difference sensor distribution range and the difference information corresponding to each difference sensor distribution range are obtained, thereby improving the efficiency and accuracy of obtaining each difference sensor distribution range and the difference information corresponding to each difference sensor distribution range.

[0081] Optionally, based on the scoliosis correction information, the patient's correction abnormality information and the patient's correction adjustment information are identified, including: identifying the difference type corresponding to each difference information, and based on the difference type of each difference information, evaluating the difference evaluation value of each difference information through the difference evaluation strategy of each difference type; based on the difference evaluation value of each difference information, splitting each difference information into each correction abnormality information and each correction adjustment information.

[0082] In this embodiment, the terminal identifies the difference type corresponding to each difference information, and based on the difference type of each difference information, evaluates the difference evaluation value of each difference information through the difference evaluation strategy of each difference type. The difference evaluation strategy includes an evaluation strategy for evaluating the degree of difference for each difference type. The evaluation strategy includes the range of difference information corresponding to each degree of difference. Each difference type includes, but is not limited to, an angle difference type, a direction difference type, a trend difference type, and a degree difference type, wherein, except for the degree difference type, all are difference types corresponding to the correction abnormality information.

[0083] Finally, the terminal divides each difference information into each correction abnormality information and each correction adjustment information based on the difference evaluation value of each difference information.

[0084] Based on the above scheme, by classifying the difference information and then performing classification evaluation, the recognition efficiency and accuracy of the difference information are improved.

[0085] Optionally, based on the patient's correction abnormal information and the patient's correction adjustment information, the patient's current scoliosis recovery information is identified through a scoliosis correction identification network, including: for each correction adjustment information, based on the difference information corresponding to the correction adjustment information and the difference sensing distribution range corresponding to the correction adjustment information, identifying through the scoliosis correction identification network the adjustment recovery information corresponding to the correction adjustment information; for each correction abnormal information, based on the difference information corresponding to the correction abnormal information and the difference sensing distribution range corresponding to the correction abnormal information, identifying through the scoliosis correction identification network the abnormal correction information corresponding to the corrected abnormal information; and using each adjustment recovery information and each abnormal correction information as the patient's current scoliosis recovery information.

[0086] In this embodiment, the terminal identifies the adjustment recovery information corresponding to each correction adjustment information based on the difference information corresponding to the correction adjustment information and the difference sensor distribution range corresponding to the correction adjustment information through the scoliosis correction identification network. Then, the terminal identifies the abnormal correction information corresponding to the abnormal correction information based on the difference information corresponding to the abnormal correction information and the difference sensor distribution range corresponding to the abnormal correction information through the scoliosis correction identification network. Finally, the terminal uses each adjustment recovery information and each abnormal correction information as the patient's current scoliosis recovery information.

[0087] Based on the above scheme, the comprehensiveness and accuracy of the analysis of spinal measurements are improved by adjusting different information in different ways.

[0088] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0089] Based on the same inventive concept, the embodiment of the present application also provides a scoliosis correction and identification system based on a sensor-connected device for implementing the scoliosis correction and identification method based on a sensor-connected device. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the scoliosis correction and identification system based on a sensor-connected device provided below can refer to the limitations of the scoliosis correction and identification method based on a sensor-connected device above, and will not be repeated here.

[0090] Further references Figure 2 , as a response to the above Figure 1 The present application provides an embodiment of a scoliosis correction and identification system 200 based on a sensor communication device, and the scoliosis correction and identification system based on a sensor communication device includes an acquisition module 210, a construction module 220 and an identification module 230, wherein:

[0091] The acquisition module 210 is used to acquire the device sensing data of the calibration sensing device arranged at each position point of the calibration instrument and the instrument structure data of the calibration instrument, and construct the instrument three-dimensional structure model of the calibration instrument based on the instrument structure data;

[0092] A construction module 220 is used to construct a device sensing distribution map of the correction sensing device based on the device sensing data of each of the position points, and to identify the patient's scoliosis correction information based on the device sensing distribution map and the instrument three-dimensional structure model;

[0093] The identification module 230 is used to identify the patient's correction abnormality information and the patient's correction adjustment information based on the scoliosis correction information, and to identify the patient's current scoliosis recovery information through a scoliosis correction identification network based on the patient's correction abnormality information and the patient's correction adjustment information.

[0094] Optionally, the acquisition module 210 is specifically configured to:

[0095] Based on the three-dimensional structure model of the calibration instrument, identifying the three-dimensional position data of each position point of the calibration instrument;

[0096] Based on the three-dimensional position data of each of the position points, a three-dimensional structural model of the calibration instrument is constructed through a three-dimensional modeling strategy.

[0097] Optionally, the construction module 220 is specifically used to:

[0098] For each device sensing data, identifying the pressure change data of the patient and the vibration change data of the patient;

[0099] Based on the patient's pressure change data and the patient's vibration change data, the patient's structural support change distribution information is generated, and the structural support change distribution information corresponding to each device sensor data is three-dimensionally distributed according to the position points corresponding to each device sensor data to obtain the device sensor distribution map of the correction sensor device.

[0100] Optionally, the construction module 220 is specifically used to:

[0101] Projecting the device sensor distribution map onto the instrument three-dimensional structure model to obtain the instrument sensor distribution information and obtain the patient's scoliosis information;

[0102] Based on the scoliosis information and the three-dimensional structure model of the instrument, initial instrument sensor distribution information of the correction instrument is generated, and based on the initial instrument sensor distribution information and the instrument sensor distribution information, each difference sensor distribution range and the difference information corresponding to each difference sensor distribution range are identified;

[0103] Each of the difference sensing distribution ranges and the difference information corresponding to each of the difference sensing distribution ranges are used as the scoliosis correction information of the patient.

[0104] Optionally, the identification module 230 is specifically configured to:

[0105] Identify the difference type corresponding to each difference information, and based on the difference type of each difference information, evaluate the difference evaluation value of each difference information by using the difference evaluation strategy of each difference type;

[0106] Based on the difference evaluation value of each difference information, each difference information is divided into each correction abnormality information and each correction adjustment information.

[0107] Optionally, the identification module 230 is specifically configured to:

[0108] For each correction adjustment information, based on the difference information corresponding to the correction adjustment information and the difference sensing distribution range corresponding to the correction adjustment information, the adjustment recovery information corresponding to the correction adjustment information is identified through a scoliosis correction identification network;

[0109] For each correction abnormal information, based on the difference information corresponding to the correction abnormal information and the difference sensing distribution range corresponding to the correction abnormal information, the abnormal correction information corresponding to the correction abnormal information is obtained through the scoliosis correction recognition network;

[0110] Each of the adjustment recovery information and each of the abnormal correction information is used as the patient's current scoliosis recovery information.

[0111] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a scoliosis correction and identification method based on a sensor communication device is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse.

[0112] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0113] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0114] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0115] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0116] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0117] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0118] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0119] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A scoliosis correction and identification method based on sensor communication equipment, characterized in that: The method comprises: Acquire device sensing data of a calibration sensing device disposed at each position point of the calibration instrument and device structure data of the calibration instrument, and construct a three-dimensional device structure model of the calibration instrument based on the device structure data; Based on the device sensing data of each of the position points, construct a device sensing distribution map of the correction sensing device, and based on the device sensing distribution map and the three-dimensional structure model of the instrument, identify the patient's scoliosis correction information; Based on the scoliosis correction information, the patient's correction abnormality information and the patient's correction adjustment information are identified, and based on the patient's correction abnormality information and the patient's correction adjustment information, the patient's current scoliosis recovery information is identified through a scoliosis correction identification network.

2. The method according to claim 1, characterized in that The step of constructing a three-dimensional structure model of the calibration instrument based on the instrument structure data includes: Based on the three-dimensional structure model of the calibration instrument, identifying the three-dimensional position data of each position point of the calibration instrument; Based on the three-dimensional position data of each of the position points, a three-dimensional structural model of the calibration instrument is constructed through a three-dimensional modeling strategy.

3. The method according to claim 2, characterized in that The step of constructing a device sensing distribution map of the calibration sensing device based on the device sensing data of each of the position points includes: For each device sensing data, identifying the pressure change data of the patient and the vibration change data of the patient; Based on the patient's pressure change data and the patient's vibration change data, the patient's structural support change distribution information is generated, and the structural support change distribution information corresponding to each device sensor data is three-dimensionally distributed according to the position points corresponding to each device sensor data to obtain the device sensor distribution map of the correction sensor device.

4. The method according to claim 3, characterized in that The step of identifying the patient's scoliosis correction information based on the device sensor distribution map and the instrument three-dimensional structure model includes: Projecting the device sensor distribution map onto the instrument three-dimensional structure model to obtain the instrument sensor distribution information and obtain the patient's scoliosis information; Based on the scoliosis information and the three-dimensional structure model of the instrument, initial instrument sensor distribution information of the correction instrument is generated, and based on the initial instrument sensor distribution information and the instrument sensor distribution information, each difference sensor distribution range and the difference information corresponding to each difference sensor distribution range are identified; Each of the difference sensing distribution ranges and the difference information corresponding to each of the difference sensing distribution ranges are used as the scoliosis correction information of the patient.

5. The method according to claim 4, characterized in that The step of identifying the correction abnormality information of the patient and the correction adjustment information of the patient based on the scoliosis correction information includes: Identify the difference type corresponding to each difference information, and based on the difference type of each difference information, evaluate the difference evaluation value of each difference information by using the difference evaluation strategy of each difference type; Based on the difference evaluation value of each difference information, each difference information is divided into each correction abnormality information and each correction adjustment information.

6. The method according to claim 5, characterized in that The method of identifying the current scoliosis recovery information of the patient based on the correction abnormality information of the patient and the correction adjustment information of the patient through a scoliosis correction identification network includes: For each correction adjustment information, based on the difference information corresponding to the correction adjustment information and the difference sensing distribution range corresponding to the correction adjustment information, the adjustment recovery information corresponding to the correction adjustment information is identified through a scoliosis correction identification network; For each correction abnormal information, based on the difference information corresponding to the correction abnormal information and the difference sensing distribution range corresponding to the correction abnormal information, the abnormal correction information corresponding to the correction abnormal information is obtained through the scoliosis correction recognition network; Each of the adjustment recovery information and each of the abnormal correction information is used as the patient's current scoliosis recovery information.

7. A scoliosis correction and identification system based on sensor communication equipment, characterized in that: The system comprises: An acquisition module, used to acquire device sensing data of a calibration sensing device arranged at each position point of the calibration instrument and device structure data of the calibration instrument, and to construct a three-dimensional device structure model of the calibration instrument based on the device structure data; A construction module, for constructing a device sensing distribution map of the correction sensing device based on the device sensing data of each of the position points, and identifying the patient's scoliosis correction information based on the device sensing distribution map and the instrument three-dimensional structure model; An identification module is used to identify the patient's correction abnormality information and the patient's correction adjustment information based on the scoliosis correction information, and to identify the patient's current scoliosis recovery information through a scoliosis correction identification network based on the patient's correction abnormality information and the patient's correction adjustment information.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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