CN117122482A - Operating table self-adaptive adjusting method and system based on pressure sensing - Google Patents

Operating table self-adaptive adjusting method and system based on pressure sensing Download PDF

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CN117122482A
CN117122482A CN202311385802.4A CN202311385802A CN117122482A CN 117122482 A CN117122482 A CN 117122482A CN 202311385802 A CN202311385802 A CN 202311385802A CN 117122482 A CN117122482 A CN 117122482A
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operating table
information
self
parameter
pressure sensing
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CN117122482B (en
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羌新明
陆永新
陈英革
王小英
汪洪志
孙永红
黄跃
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NANTONG MEDICAL APPARATUS CO Ltd
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NANTONG MEDICAL APPARATUS CO Ltd
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    • G—PHYSICS
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    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
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    • A61G13/02—Adjustable operating tables; Controls therefor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61G13/00—Operating tables; Auxiliary appliances therefor
    • A61G13/10—Parts, details or accessories
    • A61G13/12—Rests specially adapted therefor; Arrangements of patient-supporting surfaces
    • A61G13/128—Rests specially adapted therefor; Arrangements of patient-supporting surfaces with mechanical surface adaptations
    • A61G13/129—Rests specially adapted therefor; Arrangements of patient-supporting surfaces with mechanical surface adaptations having surface parts for adaptation of the size, e.g. for extension or reduction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
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    • G06V10/147—Details of sensors, e.g. sensor lenses
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61G2203/00—General characteristics of devices
    • A61G2203/30—General characteristics of devices characterised by sensor means
    • A61G2203/34—General characteristics of devices characterised by sensor means for pressure
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

The invention discloses a self-adaptive adjusting method and a self-adaptive adjusting system for an operating table based on pressure sensing, which relate to the technical field of intelligent adjustment, and the method comprises the following steps: performing pressure sensor layout based on the operating table equivalent structure region set to obtain an operating table pressure sensing network; determining operating table application parameter information based on patient operation physiological state information analysis; the method comprises the steps of obtaining pressure sensing distribution data information by utilizing an operating table pressure sensing network, and obtaining an operation posture characteristic data set through image capturing; the pressure sensing distribution data information and the operation posture characteristic data set are analyzed based on the operation table self-adaptive adjusting network, the operation table self-adaptive adjusting parameter information is output, the operation table mechanism adjusting parameter is determined based on the operation table self-adaptive adjusting parameter information and the operation table application parameter information, and then the target operation table is subjected to mechanism self-adaptive adjustment. The intelligent adjustment of parameters of the operating table is realized, the accuracy and the self-adaptability of the parameters of the operating table are ensured, and the technical effect of improving the quality of the operating efficiency is further achieved.

Description

Operating table self-adaptive adjusting method and system based on pressure sensing
Technical Field
The invention relates to the technical field of intelligent regulation, in particular to an operating table self-adaptive regulation method and system based on pressure induction.
Background
The operating table is an indispensable part of the medical field, plays an important role in the operation process, and can improve the medical efficiency, reduce the risk and promote the progress of medical technology. By performing various types of surgery on an operating table, doctors can effectively treat patients and help the patients to recover health. The existing operating table not only provides a supporting device with adjustable height, but also integrates various advanced medical devices such as vital sign monitors, anesthesia machines and the like, thereby improving the safety and effect of the operation. In order to meet the needs of doctors and patients during surgery, precise adjustments to the operating table are required. However, the prior art operating table has low degree of intellectualization in adjustment and low adjustment accuracy.
Disclosure of Invention
The application solves the technical problems of low intelligent degree and low adjustment precision of the existing operating table by providing the operating table self-adaptive adjustment method and system based on pressure induction, achieves the technical effects of realizing intelligent adjustment of operating table parameters, ensuring the accuracy and the self-adaptability of the operating table adjustment parameters and further improving the quality of operation efficiency.
In view of the above problems, the present application provides a pressure-sensing-based adaptive adjustment method and system for an operating table.
In a first aspect, the present application provides a pressure-sensing-based operating table adaptive adjustment method, the method comprising: dividing a structural region of a target operating table to generate an operating table equivalent structural region set; carrying out resistive pressure sensor layout based on the operating table equivalent structure region set to obtain an operating table pressure sensing network; acquiring patient operation physiological state information, analyzing operating table parameters based on the patient operation physiological state information, and determining operating table application parameter information, wherein the operating table application parameter information comprises length, angle and hardness; the pressure sensing network of the operating table is utilized to perform pressure sensing on the body part of a target doctor in the operation process, so that pressure sensing distribution data information is obtained; performing multi-angle capturing on the surgical gesture of the target doctor through a CMOS image sensor to obtain a surgical gesture characteristic data set; constructing an operating table self-adaptive adjusting network, analyzing the pressure sensing distribution data information and the operation posture characteristic data set based on the operating table self-adaptive adjusting network, and outputting operating table self-adaptive adjusting parameter information; and determining operating table mechanism adjusting parameters based on the operating table self-adaptive adjusting parameter information and the operating table application parameter information, and carrying out mechanism self-adaptive adjustment on the target operating table according to the operating table mechanism adjusting parameters.
In another aspect, the present application also provides a pressure-sensing-based adaptive adjustment system for an operating table, the system comprising: the structure region segmentation module is used for carrying out structure region segmentation on the target operating table to generate an operating table equivalent structure region set; the sensor layout module is used for carrying out resistive pressure sensor layout based on the operating table equivalent structure region set to obtain an operating table pressure sensing network; the operating table parameter analysis module is used for acquiring the physiological state information of the operation of the patient, carrying out operating table parameter analysis based on the physiological state information of the operation of the patient, and determining operating table application parameter information, wherein the operating table application parameter information comprises length, angle and hardness; the pressure sensing module is used for performing pressure sensing on the body part of the target doctor in the operation process by utilizing the operating table pressure sensing network to obtain pressure sensing distribution data information; the multi-angle capturing module is used for capturing the surgical gesture of the target doctor at multiple angles through the CMOS image sensor to obtain a surgical gesture characteristic data set; the self-adaptive adjustment parameter output module is used for constructing an operation table self-adaptive adjustment network, analyzing the pressure sensing distribution data information and the operation posture characteristic data set based on the operation table self-adaptive adjustment network, and outputting operation table self-adaptive adjustment parameter information; the mechanism self-adaptive adjusting module is used for determining the mechanism adjusting parameters of the operating table based on the operating table self-adaptive adjusting parameter information and the operating table application parameter information, and carrying out mechanism self-adaptive adjustment on the target operating table according to the mechanism adjusting parameters of the operating table.
In a third aspect, the present application provides an electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, the computer program when executed by the processor implementing the steps of any of the methods described above.
In a fourth aspect, the application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the structural area of the target operating table is segmented, and then the resistance type pressure sensor is arranged on the segmented equivalent structural area set of the operating table, so that an operating table pressure sensing network is obtained; meanwhile, operating table parameter analysis is carried out based on patient operation physiological state information, operating table application parameter information is determined, and a pressure sensing network is utilized to conduct pressure sensing on a body part of a target doctor in an operation process to obtain pressure sensing distribution data information; performing multi-angle capturing on the surgical gesture of the target doctor to obtain a surgical gesture feature data set, analyzing the pressure sensing distribution data information and the surgical gesture feature data set based on an operating table self-adaptive adjusting network, and outputting operating table self-adaptive adjusting parameter information; and determining the mechanism adjusting parameters of the operating table based on the operating table self-adaptive adjusting parameter information and the operating table application parameter information, so as to carry out the technical scheme of mechanism self-adaptive adjustment on the target operating table. Thereby achieving the technical effects of realizing intelligent adjustment of parameters of the operating table, ensuring the accuracy and the adaptivity of the parameters of the adjustment of the operating table, and further improving the quality of the operating efficiency.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a flow chart of the adaptive adjustment method of the operating table based on pressure sensing;
FIG. 2 is a schematic flow chart of generating an operating table equivalent structure region set in the operating table self-adaptive adjustment method based on pressure sensing according to the application;
FIG. 3 is a schematic diagram of the pressure sensing based adaptive adjustment system for an operating table of the present application;
fig. 4 is a schematic structural view of an exemplary electronic device of the present application.
Reference numerals illustrate: the system comprises a structural area segmentation module 11, a sensor layout module 12, an operating table parameter analysis module 13, a pressure sensing module 14, a multi-angle capturing module 15, an adaptive adjustment parameter output module 16, a mechanism adaptive adjustment module 17, a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, an operating system 1151, an application 1152 and a user interface 1160.
Detailed Description
In the description of the present application, those skilled in the art will appreciate that the present application may be embodied as methods, apparatus, electronic devices, and computer-readable storage media. Accordingly, the present application may be embodied in the following forms: complete hardware, complete software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, the application may also be embodied in the form of a computer program product in one or more computer-readable storage media, which contain computer program code.
Any combination of one or more computer-readable storage media may be employed by the computer-readable storage media described above. The computer-readable storage medium includes: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer readable storage medium include the following: portable computer magnetic disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disk read-only memories, optical storage devices, magnetic storage devices, or any combination thereof. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device.
The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws.
The application provides a method, a device and electronic equipment through flow charts and/or block diagrams.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer readable program instructions may also be stored in a computer readable storage medium that can cause a computer or other programmable data processing apparatus to function in a particular manner. Thus, instructions stored in a computer-readable storage medium produce an instruction means which implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The present application will be described below with reference to the drawings in the present application.
Example 1
As shown in fig. 1, the present application provides a pressure sensing-based operating table adaptive adjustment method, which includes:
step S1: dividing a structural region of a target operating table to generate an operating table equivalent structural region set;
as shown in fig. 2, further, the step of generating the set of equivalent structural areas of the operating table further includes:
acquiring a production structure assembly drawing of the target operating table, and endowing the production structure assembly drawing with structure connection attribute to obtain assembly structure connection attribute information;
carrying out structural region division on the connection attribute information of the assembly structure based on the assembly connection form, and determining an assembly structure region set;
Performing operation function attribute classification on the assembly structure region set to obtain structure region application function attribute information;
and carrying out refined segmentation on the assembly structure region set based on the structure region application function attribute information to generate the operating table equivalent structure region set.
In particular, the operating table is an indispensable part of the medical field, and it plays an important role not only in the operation process, but also improves the medical efficiency, reduces the risk and promotes the progress of the medical technology. By performing various types of surgery on an operating table, doctors can effectively treat patients and help the patients to recover health. The existing operating table not only provides a supporting device with adjustable height, but also integrates various advanced medical devices such as vital sign monitors, anesthesia machines and the like, thereby improving the safety and effect of the operation. In order to meet the needs of doctors and patients during surgery, precise adjustments to the operating table are required.
In order to realize intelligent parameter adjustment of the operating table, all structural areas of the operating table need to be monitored and adjusted comprehensively. Therefore, the structure area of the target operating table is divided, and firstly, a production structure assembly diagram of the target operating table to be applied to the operation is obtained through a medical equipment purchasing system, wherein the production structure assembly diagram is a structure assembly part diagram of the operating table and comprises operating table component parts, matching relation, part sizes and the like. And giving structural connection attribute to the production structure assembly drawing, namely carrying out connection function analysis on each assembly part of the operation table, and obtaining assembly structure connection attribute information through the assembly drawing, wherein the assembly structure connection attribute information is the connection function of an assembly structure, such as bolting, electric connection, riveting, welding and the like. And carrying out structural region division on the connection attribute information of the assembly structure based on an assembly connection form, wherein the assembly connection form comprises a plurality of layers such as mechanical connection, hydraulic connection, pneumatic connection, electric connection, optical connection and the like, and determining an assembly structure region set according to the assembly connection form division.
The structural area of dividing the operating table according to the assembly connection mode is large, and the operating table is divided into the structural areas including a bed surface, a head plate, a side plate, a foot plate and the like initially, so that the dividing area is not accurate enough. Therefore, the assembly structure region set is subjected to operation function attribute classification, namely, the application function of the assembly structure region set in an operation process is analyzed, and structure region application function attribute information is obtained through an operation application way, wherein the operation illumination, the respiration monitoring, the anesthesia zone and the like are exemplified. And performing refined segmentation on the assembly structure region set based on the structure region application function attribute information, namely performing functional refinement and re-segmentation on the initially divided structure region, for example, performing refined segmentation on the mesa structure region to obtain an operating lamp, an operating machine bearing table and the like, so as to generate a divided operating table equivalent structure region set. The method has the advantages that the precise segmentation of the operating table area is realized, the segmentation accuracy of the structural area is improved, and the comprehensiveness of the subsequent sensor network layout is further ensured.
Step S2: carrying out resistive pressure sensor layout based on the operating table equivalent structure region set to obtain an operating table pressure sensing network;
Specifically, the resistive pressure sensor is arranged on the basis of the operating table equivalent structure region set, namely the pressure sensor is arranged on each operating table equivalent structure region, wherein the resistive pressure sensor has the advantages of simple structure, miniaturization, higher precision and stability, capability of realizing high-precision pressure measurement and suitability for occasions with various response speed requirements and precision requirements. The operating table pressure sensing network is obtained through the arrangement of the pressure sensor area, and the operating table pressure sensing network covers the operating table structural area in an all-around manner and is used for monitoring the pressure change of the operating table in an all-around manner, and the monitoring result is accurate and comprehensive.
Step S3: acquiring patient operation physiological state information, analyzing operating table parameters based on the patient operation physiological state information, and determining operating table application parameter information, wherein the operating table application parameter information comprises length, angle and hardness;
further, the step of determining the operating table application parameter information further includes:
acquiring surgical attribute factor information, wherein the surgical attribute factor information comprises physiological attributes of patients, surgical types and surgical positions;
Classifying and marking the patient operation physiological state information according to the operation attribute factor information to determine patient operation attribute characteristic information;
searching application parameters of the target operating table, and constructing an operating table adjustment parameter space, wherein the operating table adjustment parameter space comprises patient operation attribute characteristic data and operating table application parameter information;
and carrying out parameter mapping matching on the attribute characteristic information of the patient operation and the operation table adjustment parameter space, and determining the operation table application parameter information.
Further, the step of determining the operating table application parameter information further includes:
arranging and integrating the operation table adjustment parameter space according to the operation characteristic dimension information of the patient to obtain an operation table adjustment parameter dimension space;
performing similarity calculation on the characteristic data in the patient operation attribute characteristic information and the operating table adjustment parameter dimension space by adopting a similarity algorithm to obtain a patient operation characteristic similarity set;
the patient operation feature similarity sets are arranged in a similarity descending order, and target patient operation feature information is screened and output;
and performing adjustment parameter reverse mapping based on the target patient operation characteristic information, and matching and determining the operation table application parameter information.
Specifically, in order to ensure that the operating table meets personal requirements of a patient, firstly, acquiring physiological state information of the patient operation through a medical record system, wherein the physiological state information of the patient operation comprises personal physiological state information of the patient, such as height, weight, disease type and the like; and the surgical information about the patient about to be deployed, such as the type of surgery, the length of the surgery, the surgical site, etc. Analyzing parameters of an operating table based on the physiological state information of the patient operation, specifically acquiring operation attribute factor information, wherein the operation attribute factor information is a key index of operation attribute classification and comprises physiological attributes of the patient, such as height, weight, illness state and the like; types of surgery, such as general surgery, gynaecological surgery, and the like; surgical positions, such as supine, lateral, prone, etc. And classifying and marking the patient operation physiological state information according to the operation attribute factor information, and fusing the operation attribute classification information to determine the patient operation attribute characteristic information corresponding to the patient. And searching application parameters of the target operating table, namely searching data of historical application parameters of the type of operating table, and constructing an operating table adjustment parameter space according to the historical application parameters, wherein the operating table adjustment parameter space comprises patient operation attribute characteristic data and operating table application parameter information.
And carrying out parameter mapping matching on the patient operation attribute characteristic information and the operation table adjustment parameter space, and determining operation table application parameter information applicable to the patient operation characteristic. Firstly, arranging and integrating the operating table adjusting parameter space according to the dimension information of the surgical features of the patient, wherein the dimension information of the surgical features of the patient is a preset surgical feature arrangement dimension, and illustratively, all data in the operating table adjusting parameter space are arranged in a form according to the dimension formats of the physiological attributes, the surgical types and the surgical positions of the patient, so that an integrated operating table adjusting parameter dimension space is obtained, and the similarity calculation efficiency is facilitated. And then similarity calculation is carried out on the characteristic information of the patient operation attribute and the characteristic data in the parameter dimension space of the operating table by adopting a similarity algorithm, wherein a common similarity algorithm comprises cosine similarity, similarity coefficient and the like, and a patient operation characteristic similarity set of each characteristic data in the patient operation characteristic and the parameter dimension space is obtained through the similarity calculation. And then, the patient operation feature similarity sets are subjected to similarity descending order, and target patient operation feature information with highest similarity is screened and output, namely historical feature data similar to the patient operation features. And performing adjustment parameter reverse mapping based on the target patient operation characteristic information, and matching and determining operation table application parameter information corresponding to the similar patient operation characteristic, wherein the operation table application parameter information comprises length, angle, hardness and the like. The specific analysis of the application parameters of the operating table is realized, the applicability of the application parameters of the operating table to the operation of the patient is improved, and the operation application effect of the patient is further ensured.
Step S4: the pressure sensing network of the operating table is utilized to perform pressure sensing on the body part of a target doctor in the operation process, so that pressure sensing distribution data information is obtained;
further, the steps of the application also comprise:
acquiring application environment parameter information and cross sensitivity information of the resistive pressure sensor;
constructing a sensor characteristic factor error function, and extracting influence factors of the application environment parameter information based on the sensor characteristic factor error function to obtain factor error parameters;
performing error calibration analysis based on the factor error parameter and the cross sensitivity information to obtain a sensor calibration compensation parameter;
and carrying out output data correction on the pressure sensing distribution data information based on the sensor calibration compensation parameters.
Specifically, the pressure sensing network is utilized to perform pressure sensing on a body part of a target doctor in an operation process, wherein the target doctor is an operation doctor for a patient, in the operation process, pressure information of the body part on an operation table is changed along with the change of the posture of operation, the pressure change of the operation table is subjected to real-time sensing acquisition, corresponding pressure sensing distribution data information is obtained, and the pressure sensing distribution data information is used for comprehensively showing the operation pressure change and the operation process so as to perform operation table parameter self-adaptive adjustment. In order to improve the accuracy of monitoring data of the pressure sensor, application environment parameter information of the resistance type pressure sensor is monitored in real time, wherein the application environment parameter information comprises environment temperature, air pressure and the like, and cross sensitivity information of the resistance type pressure sensor is obtained, and the cross sensitivity information is sensor data sensitivity and is measurement accuracy error of sensor equipment.
And constructing a sensor characteristic factor error function through a sensor pre-calibration experiment, wherein the sensor characteristic factor error function is a functional change relation between environmental characteristic parameter changes such as temperature, air pressure and the like and sensor measurement errors. And extracting influence factors of the application environment parameter information based on the sensor characteristic factor error function, namely inputting the application environment parameter of the operating table pressure sensing network into the sensor characteristic factor error function to calculate the caused data measurement error, and obtaining factor error parameters. And carrying out error calibration combination analysis on the factor error parameters and the cross sensitivity information to obtain sensor calibration compensation parameters considering the current application environment and the sensor precision errors. Based on the sensor calibration compensation parameters, output data correction is carried out on the pressure sensing distribution data information, the accuracy of the pressure sensing distribution data information is improved, and then the self-adaptive adjustment accuracy of the operating table is ensured.
Step S5: performing multi-angle capturing on the surgical gesture of the target doctor through a CMOS image sensor to obtain a surgical gesture characteristic data set;
further, the step of obtaining the surgical gesture feature data set further comprises:
Identifying the joint points of the target doctor to obtain a doctor operation joint point set, and dynamically marking the doctor operation joint point set;
determining a surgical pose feature set according to the doctor surgical node set and the patient surgical attribute feature information;
performing multi-angle capturing on the surgical gesture of the target doctor through a CMOS image sensor, and monitoring to obtain surgical gesture video information;
determining a preset convolution feature according to the surgical gesture feature set, performing traversal convolution calculation on each frame of image information of the surgical gesture video information according to the preset convolution feature, and obtaining the surgical gesture feature data set based on a convolution calculation result.
Specifically, for improving surgery actual condition monitoring comprehensiveness simultaneously, carry out the multi-angle through CMOS image sensor to the operation gesture of target doctor, wherein, CMOS image sensor is image acquisition equipment, has low bandwidth, increases signal to noise ratio, power consumptive low, and the advantage that imaging speed is fast. Firstly, a doctor image is collected to identify the surgical joint points of the target doctor, so that a doctor surgical joint point set is obtained, wherein the doctor surgical joint point set is application joint point information in a doctor surgical process, including a hand joint, an elbow joint, a finger joint and the like, and the doctor surgical joint point set is dynamically marked, so that follow-up tracking is facilitated. And according to the doctor operation joint point set and the patient operation attribute characteristic information, namely, the doctor operation joint point is associated with the operation standard flow required by the patient operation type attribute, the joint standard movement posture characteristic information of the doctor in the operation flow is determined, and then the operation posture characteristic set is formed by the joint posture characteristic information.
And performing multi-angle capturing on the surgical gesture of the target doctor through a CMOS image sensor, and monitoring and acquiring the video information of the surgical gesture. And determining a preset convolution feature according to the surgical gesture feature set, wherein the preset convolution feature is an image gesture evaluation feature corresponding to the surgical gesture feature set. Performing traversal convolution calculation on each frame of image information of the surgical gesture video information according to the preset convolution characteristics, namely performing calculation evaluation on the matching degree of the gesture characteristics according to the convolution value of the preset local characteristics to obtain corresponding convolution calculation results, and indicating the gesture change characteristics of the doctor in the surgical evaluation process. And obtaining a surgical gesture feature data set based on a convolution calculation result, wherein the surgical gesture feature data set is gesture change features of a doctor in a surgical process and comprises change information such as joint movement amplitude, inclination angle and the like. The intelligent real-time monitoring of the joint gesture of the doctor in the operation flow is realized, the change information of the operation gesture of the doctor is comprehensively controlled, and the parameter adjustment accuracy of the operating table is further ensured.
Step S6: constructing an operating table self-adaptive adjusting network, analyzing the pressure sensing distribution data information and the operation posture characteristic data set based on the operating table self-adaptive adjusting network, and outputting operating table self-adaptive adjusting parameter information;
Further, the step of outputting the operating table self-adaptive adjustment parameter information further comprises:
the operating table self-adaptive adjusting network is a three-dimensional self-adaptive adjusting model and comprises an operating table area adjusting network, an operating table angle adjusting network and an operating table hardness adjusting network;
analyzing the pressure sensing distribution data information and the operation posture characteristic data set based on the operation table self-adaptive adjusting network to respectively obtain an operation table region adjusting parameter, an operation table angle adjusting parameter and an operation table hardness adjusting parameter;
and outputting the self-adaptive operating table adjusting parameter information in a combined way based on the operating table area adjusting parameter, the operating table angle adjusting parameter and the operating table hardness adjusting parameter.
Specifically, an operating table self-adaptive adjusting network is built through operating table parameter adjusting historical data and operating table adjusting experience data training designed by medical professionals, and the operating table self-adaptive adjusting network is a neural network model and is used for performing operating table parameter self-adaptive analysis according to physical state changes in the operation process of a doctor. The operating table self-adaptive adjusting network is a three-dimensional self-adaptive adjusting model and comprises an operating table area adjusting network which is used for analyzing an operating table adjusting area, for example, a bearing table area needs to be adjusted; the operating table angle adjusting network is used for analyzing specific angles of an operating table adjusting area, such as bearing table offset angles; and the operating table hardness adjusting network is used for adjusting the hardness degree of an operating table adjusting area, for example, the hardness reduction adjustment is needed to be carried out on the elbow joint carrying area of a doctor so as to reduce the long-time fatigue degree of the doctor.
And analyzing the pressure sensing distribution data information and the operation posture characteristic data set based on the operation table self-adaptive adjusting network to respectively obtain operation table region adjusting parameters, operation table angle adjusting parameters and operation table hardness adjusting parameters analyzed by the operation table self-adaptive adjusting network. And based on the operating table region adjusting parameter, the operating table angle adjusting parameter and the operating table hardness adjusting parameter, combining and outputting operating table self-adaptive adjusting parameter information, wherein the operating table self-adaptive adjusting parameter information comprises the operating table region adjusting parameter, the operating table angle adjusting parameter and the operating table hardness adjusting parameter. The intelligent self-adaptive adjustment of the parameters of the operating table is realized, the accuracy and the comprehensiveness of the adjustment of the parameters of the operating table are ensured, and the quality of the operating efficiency is further improved.
Step S7: and determining operating table mechanism adjusting parameters based on the operating table self-adaptive adjusting parameter information and the operating table application parameter information, and carrying out mechanism self-adaptive adjustment on the target operating table according to the operating table mechanism adjusting parameters.
Specifically, the operating table application parameter information is an initial operating table application parameter set according to the operating characteristics of the patient, and the operating table application parameter information is an operating table application parameter required to be set according to the operating state of the doctor. And determining the operating table mechanism adjusting parameter based on the difference value of the operating table self-adaptive adjusting parameter information and the operating table application parameter information, wherein the operating table mechanism adjusting parameter is the current operating table application parameter which is required to be self-adaptively adjusted. And according to the mechanism adjusting parameters of the operating table, the mechanism self-adaptive adjustment is carried out on each adjusting structure in the target operating table, and the control and adjustment of the hardness and the angle parameters are realized by changing the parameters of an air cushion or a hydraulic rod in the operating table. The parameter self-adaptive adjustment of the operating table is realized, the real-time performance of parameter adjustment is ensured, and the operation efficiency and quality are further improved.
In summary, the pressure-sensing-based operating table self-adaptive adjusting method and system provided by the application have the following technical effects:
the structural area of the target operating table is segmented, and then the resistance type pressure sensor is arranged on the segmented equivalent structural area set of the operating table, so that an operating table pressure sensing network is obtained; meanwhile, operating table parameter analysis is carried out based on patient operation physiological state information, operating table application parameter information is determined, and a pressure sensing network is utilized to conduct pressure sensing on a body part of a target doctor in an operation process to obtain pressure sensing distribution data information; performing multi-angle capturing on the surgical gesture of the target doctor to obtain a surgical gesture feature data set, analyzing the pressure sensing distribution data information and the surgical gesture feature data set based on an operating table self-adaptive adjusting network, and outputting operating table self-adaptive adjusting parameter information; and determining the mechanism adjusting parameters of the operating table based on the operating table self-adaptive adjusting parameter information and the operating table application parameter information, so as to carry out the technical scheme of mechanism self-adaptive adjustment on the target operating table. Thereby achieving the technical effects of realizing intelligent adjustment of parameters of the operating table, ensuring the accuracy and the adaptivity of the parameters of the adjustment of the operating table, and further improving the quality of the operating efficiency.
Example two
Based on the same inventive concept as the operating table self-adaptive adjusting method based on pressure sensing in the foregoing embodiment, the present invention further provides an operating table self-adaptive adjusting system based on pressure sensing, as shown in fig. 3, the system includes:
the structural region segmentation module 11 is used for carrying out structural region segmentation on the target operating table to generate an operating table equivalent structural region set;
the sensor layout module 12 is used for carrying out resistive pressure sensor layout based on the operating table equivalent structure region set to obtain an operating table pressure sensing network;
the operating table parameter analysis module 13 is used for acquiring the physiological state information of the operation of the patient, carrying out operating table parameter analysis based on the physiological state information of the operation of the patient, and determining operating table application parameter information, wherein the operating table application parameter information comprises length, angle and hardness;
the pressure sensing module 14 is used for performing pressure sensing on a body part of a target doctor in the operation process by utilizing the operating table pressure sensing network to obtain pressure sensing distribution data information;
the multi-angle capturing module 15 is used for capturing the surgical gesture of the target doctor at multiple angles through the CMOS image sensor to obtain a surgical gesture characteristic data set;
The adaptive adjustment parameter output module 16 is configured to construct an operating table adaptive adjustment network, analyze the pressure sensing distribution data information and the operation posture feature data set based on the operating table adaptive adjustment network, and output operating table adaptive adjustment parameter information;
and the mechanism self-adaptive adjusting module 17 is used for determining an operating table mechanism adjusting parameter based on the operating table self-adaptive adjusting parameter information and the operating table application parameter information and carrying out mechanism self-adaptive adjustment on the target operating table according to the operating table mechanism adjusting parameter.
Further, the system further comprises:
the connection attribute giving unit is used for obtaining a production structure assembly drawing of the target operating table, giving structural connection attribute to the production structure assembly drawing and obtaining assembly structure connection attribute information;
the structure region dividing unit is used for dividing the structure region of the assembly structure connection attribute information based on the assembly connection form and determining an assembly structure region set;
the operation function attribute classification unit is used for classifying operation function attributes of the assembly structure region set to obtain structure region application function attribute information;
And the structure refinement and segmentation unit is used for refining and segmenting the assembly structure region set based on the structure region application function attribute information to generate the operating table equivalent structure region set.
Further, the system further comprises:
the surgical attribute factor acquisition unit is used for acquiring surgical attribute factor information, wherein the surgical attribute factor information comprises physiological attributes of patients, surgical types and surgical positions;
the information classification marking unit is used for classifying and marking the patient operation physiological state information according to the operation attribute factor information to determine the operation attribute characteristic information of the patient;
the application parameter searching unit is used for searching application parameters of the target operating table and constructing an operating table adjusting parameter space, and the operating table adjusting parameter space comprises patient operation attribute characteristic data and operating table application parameter information;
and the parameter mapping matching unit is used for performing parameter mapping matching on the patient operation attribute characteristic information and the operation table adjustment parameter space, and determining the operation table application parameter information.
Further, the system further comprises:
the parameter dimension space obtaining unit is used for arranging and integrating the operation table adjustment parameter space according to the operation characteristic dimension information of the patient to obtain an operation table adjustment parameter dimension space;
The similarity calculation unit is used for calculating the similarity of the characteristic information of the operation attribute of the patient and the characteristic data in the dimension space of the adjusting parameter of the operating table by adopting a similarity algorithm to obtain a similarity set of the operation characteristics of the patient;
the similarity screening output unit is used for arranging the patient operation feature similarity sets in a similarity descending order and screening and outputting target patient operation feature information;
and the parameter reverse mapping unit is used for carrying out adjustment parameter reverse mapping based on the target patient operation characteristic information and matching and determining the operating table application parameter information.
Further, the system further comprises:
the surgical joint point dynamic marking unit is used for identifying the joint points of the target doctor, obtaining a doctor surgical joint point set and dynamically marking the doctor surgical joint point set;
the surgical gesture feature determining unit is used for determining a surgical gesture feature set according to the doctor surgical node set and the patient surgical attribute feature information;
the surgical gesture video acquisition unit is used for capturing the surgical gesture of the target doctor at multiple angles through the CMOS image sensor and monitoring and acquiring the surgical gesture video information;
The traversal convolution computing unit is used for determining preset convolution features according to the operation gesture feature set, performing traversal convolution computation on each frame of image information of the operation gesture video information according to the preset convolution features, and obtaining the operation gesture feature data set based on convolution computation results.
Further, the system further comprises:
the self-adaptive adjusting model forming unit is used for the three-dimensional self-adaptive adjusting model of the operating table, and comprises an operating table area adjusting network, an operating table angle adjusting network and an operating table hardness adjusting network;
the operating table adjusting parameter analysis unit is used for analyzing the pressure sensing distribution data information and the operating gesture characteristic data set based on the operating table self-adaptive adjusting network to respectively obtain operating table area adjusting parameters, operating table angle adjusting parameters and operating table hardness adjusting parameters;
and the self-adaptive adjusting parameter output unit is used for outputting the self-adaptive adjusting parameter information of the operating table based on the operating table region adjusting parameter, the operating table angle adjusting parameter and the operating table hardness adjusting parameter.
Further, the system further comprises:
The sensor application parameter acquisition unit is used for acquiring application environment parameter information and cross sensitivity information of the resistance type pressure sensor;
the influence factor extraction unit is used for constructing a sensor characteristic factor error function, extracting influence factors of the application environment parameter information based on the sensor characteristic factor error function, and acquiring factor error parameters;
the error calibration analysis unit is used for carrying out error calibration analysis based on the factor error parameters and the cross sensitivity information to obtain sensor calibration compensation parameters;
and the output data correction unit is used for carrying out output data correction on the pressure sensing distribution data information based on the sensor calibration compensation parameters.
The various modifications and specific examples of the pressure-sensing-based operating table adaptive adjustment method in the first embodiment of fig. 1 are equally applicable to the pressure-sensing-based operating table adaptive adjustment system of this embodiment, and those skilled in the art will clearly know the implementation of the pressure-sensing-based operating table adaptive adjustment system of this embodiment through the foregoing detailed description of the pressure-sensing-based operating table adaptive adjustment method, so that they will not be described in detail herein for brevity of the specification.
In addition, the application also provides an electronic device, which comprises a bus, a transceiver, a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the transceiver, the memory and the processor are respectively connected through the bus, and when the computer program is executed by the processor, the processes of the method embodiment for controlling output data are realized, and the same technical effects can be achieved, so that repetition is avoided and redundant description is omitted.
Exemplary electronic device
In particular, referring to FIG. 4, the present application also provides an electronic device comprising a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, and a user interface 1160.
In the present application, the electronic device further includes: computer programs stored on the memory 1150 and executable on the processor 1120, which when executed by the processor 1120, implement the various processes of the method embodiments described above for controlling output data.
A transceiver 1130 for receiving and transmitting data under the control of the processor 1120.
In the present application, bus architecture (represented by bus 1110), bus 1110 may include any number of interconnected buses and bridges, with bus 1110 connecting various circuits, including one or more processors, represented by processor 1120, and memory, represented by memory 1150.
Bus 1110 represents one or more of any of several types of bus structures, including a memory bus and memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such an architecture includes: industry standard architecture buses, micro-channel architecture buses, expansion buses, video electronics standards association, and peripheral component interconnect buses.
Processor 1120 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method embodiments may be implemented by instructions in the form of integrated logic circuits in hardware or software in a processor. The processor includes: general purpose processors, central processing units, network processors, digital signal processors, application specific integrated circuits, field programmable gate arrays, complex programmable logic devices, programmable logic arrays, micro control units or other programmable logic devices, discrete gates, transistor logic devices, discrete hardware components. The methods, steps and logic blocks disclosed in the present application may be implemented or performed. For example, the processor may be a single-core processor or a multi-core processor, and the processor may be integrated on a single chip or located on multiple different chips.
The processor 1120 may be a microprocessor or any conventional processor. The method steps disclosed in connection with the present application may be performed directly by a hardware decoding processor or by a combination of hardware and software modules in a decoding processor. The software modules may be located in random access memory, flash memory, read only memory, programmable read only memory, erasable programmable read only memory, registers, and the like, as known in the art. The readable storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
Bus 1110 may also connect together various other circuits such as peripheral devices, voltage regulators, or power management circuits, bus interface 1140 providing an interface between bus 1110 and transceiver 1130, all of which are well known in the art. Therefore, the present application will not be further described.
The transceiver 1130 may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. For example: the transceiver 1130 receives external data from other devices, and the transceiver 1130 is configured to transmit the data processed by the processor 1120 to the other devices. Depending on the nature of the computer device, a user interface 1160 may also be provided, for example: touch screen, physical keyboard, display, mouse, speaker, microphone, trackball, joystick, stylus.
It should be appreciated that in the present application, the memory 1150 may further include memory located remotely from the processor 1120, which may be connected to a server through a network. One or more portions of the above-described networks may be an ad hoc network, an intranet, an extranet, a virtual private network, a local area network, a wireless local area network, a wide area network, a wireless wide area network, a metropolitan area network, an internet, a public switched telephone network, a plain old telephone service network, a cellular telephone network, a wireless fidelity network, and combinations of two or more of the foregoing. For example, the cellular telephone network and wireless network may be global system for mobile communications devices, code division multiple access devices, worldwide interoperability for microwave access devices, general packet radio service devices, wideband code division multiple access devices, long term evolution devices, LTE frequency division duplex devices, LTE time division duplex devices, advanced long term evolution devices, general mobile communications devices, enhanced mobile broadband devices, mass machine class communications devices, ultra-reliable low-latency communications devices, and the like.
It should be appreciated that the memory 1150 in the present application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. Wherein the nonvolatile memory includes: read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, or flash memory.
The volatile memory includes: random access memory, which serves as an external cache. By way of example, and not limitation, many forms of RAM are available, such as: static random access memory, dynamic random access memory, synchronous dynamic random access memory, double data rate synchronous dynamic random access memory, enhanced synchronous dynamic random access memory, synchronous link dynamic random access memory, and direct memory bus random access memory. The memory 1150 of the electronic device described herein includes, but is not limited to, the memory described above and any other suitable type of memory.
In the present application, memory 1150 stores the following elements of operating system 1151 and application programs 1152: an executable module, a data structure, or a subset thereof, or an extended set thereof.
Specifically, the operating system 1151 includes various device programs, such as: a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The applications 1152 include various applications such as: and the media player and the browser are used for realizing various application services. A program for implementing the method of the present application may be included in the application 1152. The application 1152 includes: applets, objects, components, logic, data structures, and other computer apparatus-executable instructions that perform particular tasks or implement particular abstract data types.
In addition, the application also provides a computer readable storage medium, on which a computer program is stored, where the computer program when executed by a processor implements each process of the above-mentioned method embodiment for controlling output data, and the same technical effects can be achieved, and for avoiding repetition, a detailed description is omitted herein.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims (10)

1. An operating table self-adaptive adjusting method based on pressure sensing, which is characterized by comprising the following steps:
dividing a structural region of a target operating table to generate an operating table equivalent structural region set;
carrying out resistive pressure sensor layout based on the operating table equivalent structure region set to obtain an operating table pressure sensing network;
acquiring patient operation physiological state information, analyzing operating table parameters based on the patient operation physiological state information, and determining operating table application parameter information, wherein the operating table application parameter information comprises length, angle and hardness;
The pressure sensing network of the operating table is utilized to perform pressure sensing on the body part of a target doctor in the operation process, so that pressure sensing distribution data information is obtained;
performing multi-angle capturing on the surgical gesture of the target doctor through a CMOS image sensor to obtain a surgical gesture characteristic data set;
constructing an operating table self-adaptive adjusting network, analyzing the pressure sensing distribution data information and the operation posture characteristic data set based on the operating table self-adaptive adjusting network, and outputting operating table self-adaptive adjusting parameter information;
and determining operating table mechanism adjusting parameters based on the operating table self-adaptive adjusting parameter information and the operating table application parameter information, and carrying out mechanism self-adaptive adjustment on the target operating table according to the operating table mechanism adjusting parameters.
2. The method of claim 1, wherein the generating the set of operating table equivalent structural regions comprises:
acquiring a production structure assembly drawing of the target operating table, and endowing the production structure assembly drawing with structure connection attribute to obtain assembly structure connection attribute information;
carrying out structural region division on the connection attribute information of the assembly structure based on the assembly connection form, and determining an assembly structure region set;
Performing operation function attribute classification on the assembly structure region set to obtain structure region application function attribute information;
and carrying out refined segmentation on the assembly structure region set based on the structure region application function attribute information to generate the operating table equivalent structure region set.
3. The method of claim 1, wherein the determining operating table application parameter information comprises:
acquiring surgical attribute factor information, wherein the surgical attribute factor information comprises physiological attributes of patients, surgical types and surgical positions;
classifying and marking the patient operation physiological state information according to the operation attribute factor information to determine patient operation attribute characteristic information;
searching application parameters of the target operating table, and constructing an operating table adjustment parameter space, wherein the operating table adjustment parameter space comprises patient operation attribute characteristic data and operating table application parameter information;
and carrying out parameter mapping matching on the attribute characteristic information of the patient operation and the operation table adjustment parameter space, and determining the operation table application parameter information.
4. The method of claim 3, wherein said determining said operating table application parameter information comprises:
Arranging and integrating the operation table adjustment parameter space according to the operation characteristic dimension information of the patient to obtain an operation table adjustment parameter dimension space;
performing similarity calculation on the characteristic data in the patient operation attribute characteristic information and the operating table adjustment parameter dimension space by adopting a similarity algorithm to obtain a patient operation characteristic similarity set;
the patient operation feature similarity sets are arranged in a similarity descending order, and target patient operation feature information is screened and output;
and performing adjustment parameter reverse mapping based on the target patient operation characteristic information, and matching and determining the operation table application parameter information.
5. The method of claim 3, wherein the obtaining a surgical pose feature dataset comprises:
identifying the joint points of the target doctor to obtain a doctor operation joint point set, and dynamically marking the doctor operation joint point set;
determining a surgical pose feature set according to the doctor surgical node set and the patient surgical attribute feature information;
performing multi-angle capturing on the surgical gesture of the target doctor through a CMOS image sensor, and monitoring to obtain surgical gesture video information;
Determining a preset convolution feature according to the surgical gesture feature set, performing traversal convolution calculation on each frame of image information of the surgical gesture video information according to the preset convolution feature, and obtaining the surgical gesture feature data set based on a convolution calculation result.
6. The method of claim 1, wherein outputting table adaptive adjustment parameter information comprises:
the operating table self-adaptive adjusting network is a three-dimensional self-adaptive adjusting model and comprises an operating table area adjusting network, an operating table angle adjusting network and an operating table hardness adjusting network;
analyzing the pressure sensing distribution data information and the operation posture characteristic data set based on the operation table self-adaptive adjusting network to respectively obtain an operation table region adjusting parameter, an operation table angle adjusting parameter and an operation table hardness adjusting parameter;
and outputting the self-adaptive operating table adjusting parameter information in a combined way based on the operating table area adjusting parameter, the operating table angle adjusting parameter and the operating table hardness adjusting parameter.
7. The method of claim 1, wherein the method comprises:
acquiring application environment parameter information and cross sensitivity information of the resistive pressure sensor;
Constructing a sensor characteristic factor error function, and extracting influence factors of the application environment parameter information based on the sensor characteristic factor error function to obtain factor error parameters;
performing error calibration analysis based on the factor error parameter and the cross sensitivity information to obtain a sensor calibration compensation parameter;
and carrying out output data correction on the pressure sensing distribution data information based on the sensor calibration compensation parameters.
8. Operating table self-adaptation governing system based on forced induction, characterized in that, the system includes:
the structure region segmentation module is used for carrying out structure region segmentation on the target operating table to generate an operating table equivalent structure region set;
the sensor layout module is used for carrying out resistive pressure sensor layout based on the operating table equivalent structure region set to obtain an operating table pressure sensing network;
the operating table parameter analysis module is used for acquiring the physiological state information of the operation of the patient, carrying out operating table parameter analysis based on the physiological state information of the operation of the patient, and determining operating table application parameter information, wherein the operating table application parameter information comprises length, angle and hardness;
The pressure sensing module is used for performing pressure sensing on the body part of the target doctor in the operation process by utilizing the operating table pressure sensing network to obtain pressure sensing distribution data information;
the multi-angle capturing module is used for capturing the surgical gesture of the target doctor at multiple angles through the CMOS image sensor to obtain a surgical gesture characteristic data set;
the self-adaptive adjustment parameter output module is used for constructing an operation table self-adaptive adjustment network, analyzing the pressure sensing distribution data information and the operation posture characteristic data set based on the operation table self-adaptive adjustment network, and outputting operation table self-adaptive adjustment parameter information;
the mechanism self-adaptive adjusting module is used for determining the mechanism adjusting parameters of the operating table based on the operating table self-adaptive adjusting parameter information and the operating table application parameter information, and carrying out mechanism self-adaptive adjustment on the target operating table according to the mechanism adjusting parameters of the operating table.
9. An electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, characterized in that the computer program when executed by the processor implements the steps of the pressure-sensing based operating table adaptation method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the pressure-sensing-based operating table adaptation method as claimed in any one of claims 1 to 7.
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