A venous needle operation training system based on a simulated arm

Abstract

The present invention provides a venous needle insertion training system based on a simulated arm. This system relates to the technical field of venous needle insertion training. The system comprises: constructing a venous needle insertion model based on a standard image of human arm veins; developing replacement blocks for different arm locations in the human arm vein image; monitoring the insertion area, insertion angle, and needle withdrawal distance based on the venous needle insertion model during venous needle insertion training; determining whether the venous needle insertion operation is qualified based on the monitoring results, and retrieving replacement blocks for the same insertion area to update the venous needle insertion model. This system not only meets the need for multiple insertions but also provides real-time feedback on insertion information, thereby improving the efficiency of venous needle insertion training.

Description

Technical Field

[0001] The present invention relates to the technical field of intravenous needle operation training, and in particular to an intravenous needle operation training system based on a simulation arm. Background Art

[0002] Intravenous catheters are widely used in clinical practice because they can reduce the pain of multiple needle insertions for patients and reduce the workload of nurses. However, in actual clinical operations, there are still major problems with intravenous needle insertion, and nurses and other clinical staff need to be trained in intravenous needle insertion. The intravenous needle insertion models currently used for needle insertion training have certain limitations in terms of authenticity, making it difficult to meet personalized needle insertion needs, and lack systematic feedback on the needle insertion depth, needle insertion angle, and needle withdrawal distance during the needle insertion operation.

[0003] Therefore, the present invention provides a venous needle operation training system based on a simulated arm. Summary of the Invention

[0004] The present invention provides a venous needle operation training system based on a simulated arm, which is used to construct a venous needle model according to a standard image of human arm veins; formulate replacement blocks for different arm parts in the human arm vein image; monitor the needle insertion area, needle insertion angle and needle withdrawal distance based on the venous needle model during the venous needle insertion training process; determine whether the venous needle insertion operation is qualified based on the monitoring result, and call the replacement block of the same needle insertion area to update the venous needle model; the system not only meets the need for multiple needle insertions, but also can provide real-time feedback of needle insertion information, thereby improving the efficiency of venous needle insertion operation training.

[0005] The present invention provides a venous needle operation training system based on a simulated arm, comprising:

[0006] Model construction module: constructs a venous needle model based on the standard image of human arm veins;

[0007] Block designation module: obtains the training requirements for intravenous needle insertion and formulates replacement blocks for different arm parts in the human arm vein map;

[0008] Monitoring and recording module: Based on pre-deployed sensors, it monitors the insertion area, insertion angle, and needle withdrawal distance based on the intravenous needle model during intravenous needle training, and records the number of insertions in the same insertion area;

[0009] Feedback and update module: Determine whether the intravenous needle operation is qualified based on the monitoring results. At the same time, when the number of needle insertions in the same needle insertion area is greater than the preset number, call the replacement block of the same needle insertion area to update the intravenous needle insertion model.

[0010] Preferably, the model building module includes:

[0011] A vein image acquisition unit is used to acquire the latest human arm vein image as a standard human arm vein image;

[0012] A human arm construction unit is used to construct a human arm model based on the human skin structure and a skin structure-simulation material mapping table, wherein the human skin structure is composed of the epidermis, dermis and subcutaneous tissue from the outside to the inside;

[0013] A venous needle model construction unit is used to add conductive silicone material to the outside of the simulated skin structure corresponding to the human skin structure involved;

[0014] A venous needle puncture model is constructed based on the standard image of human arm veins and a human arm model with conductive silicone material added.

[0015] Preferably, the block designation module includes:

[0016] Training requirement acquisition unit, used to obtain intravenous needle operation training requirements;

[0017] The standard image of human arm veins is divided into different arm parts. According to the training requirements of intravenous needle operation, the required number of needle insertions in different arm parts is obtained;

[0018] a block specifying unit, configured to obtain the venous needle model regions corresponding to different arm parts in the standard image of human arm veins;

[0019] According to the simulated material used in each area of ​​the venous needle model, the allowed number of needle insertions in each area of ​​the venous needle model is obtained, and combined with the required number of needle insertions, replacement blocks for different arm parts in the standard image of human arm veins are formulated.

[0020] Preferably, the block designation unit is further configured to:

[0021] Number of acupuncture treatments as needed and the number of needle insertions allowed , determine the number of blocks corresponding to the arm part ;

[0022]

[0023] in, represents a round-down symbol, wherein the allowed number of acupuncture times is the preset number of acupuncture times corresponding to the acupuncture area.

[0024] Preferably, the indwelling needle building module further includes:

[0025] An indwelling needle construction module is used to construct an indwelling needle model based on a standard intravenous indwelling needle structure, a pre-deployed angle sensor, a pre-deployed Hall sensor, and a pre-deployed magnet;

[0026] The pre-deployed angle sensor and the pre-deployed Hall sensor are arranged in the intravenous indwelling needle device connected to the needle core of the intravenous indwelling needle, and the pre-deployed magnet is arranged in the intravenous indwelling needle hose device.

[0027] Preferably, the system further comprises: a verification module, which is used to verify the monitoring and recording module before the monitoring and recording module starts formal operation, including:

[0028] A needle insertion depth monitoring unit records, when the intravenous needle core performs an insertion operation on the intravenous needle model, the conductivity of different conductive silicone materials at each moment during the insertion process and the contact position between the intravenous needle core and each conductive silicone material, and obtains a needle insertion depth set, wherein the different conductive silicone materials are composed according to the structure of human skin, and the conductive silicone materials deployed from the outside to the inside are respectively recorded as a first conductive silicone material, a second conductive silicone material, and a third conductive silicone material;

[0029] a needle insertion angle monitoring unit, configured to use the insertion angle corresponding to the last needle insertion depth in the needle insertion depth set as a simulated needle insertion angle, control the intravenous indwelling needle core to perform multiple simulations according to the simulated needle insertion angle, and detect the first needle insertion angle of the intravenous indwelling needle core at each simulated position point during each simulation process based on a pre-deployed angle sensor, thereby constructing a needle insertion angle set corresponding to the simulation process;

[0030] The acupuncture distance monitoring unit is used to detect the first distance of each simulation position point in each simulation process based on the Hall sensor, and construct a first distance set corresponding to the simulation process;

[0031] A needle withdrawal distance monitoring unit is used to detect the second distance of each needle withdrawal position point in the needle withdrawal process after each simulation process based on the Hall sensor, and to construct a second distance set corresponding to the needle withdrawal process;

[0032] a qualified judgment unit, configured to judge whether the Hall sensor is qualified according to the acupuncture depth set, the acupuncture angle set, the first distance set, and the second distance set;

[0033] If qualified, it is determined that the monitoring and recording modules can work normally;

[0034] Otherwise, it will remind you that there is an abnormality in the Hall sensor.

[0035] Preferably, the qualification judgment unit includes:

[0036] Matrix building block: Construct a first point matrix based on the needle depth set, needle angle set, first distance set and second distance set of each needle insertion and needle withdrawal process, wherein the first point matrix is ​​4 rows A matrix of columns, where Indicates the number of different simulation positions involved in the complete process, and fills the elements in the corresponding set that do not have simulation positions with 0;

[0037] Eliminate the vector columns with two or more elements of 0 in the first point matrix to obtain a second point matrix with 4 rows. a matrix of columns;

[0038] Coherence array building block: determining the signal coherence of each column vector in the second dot matrix respectively;

[0039]

[0040] in, Indicates the Signal coherence of column vector; Indicates the The first column vector The weight of each element; Indicates the The first column vector The actual signal value corresponding to the elements; Indicates the The first column vector The standard signal value corresponding to the elements;

[0041] Build a coherent array based on signal coherence ;

[0042] A coefficient array building block: determining a signal change coefficient for each row vector in the second point matrix;

[0043]

[0044] in, Indicates the The number of simulated position points in the row vector whose actual signal values ​​are outside the preset signal range; Indicates the An actual signal value that is not within the corresponding preset signal range; Indicates that the corresponding row vector is located at Signal value on the left; Indicates that the corresponding row vector is located at Signal value on the right; Indicates the maximum value symbol; Indicates the The number of simulated position points in the row vector where the actual signal value is within the preset signal range; Indicates the an actual signal value corresponding to a preset signal range;

[0045] According to the signal variation coefficient, a coefficient array is constructed ;

[0046] Qualified judgment block: inputting the coherent array and the coefficient array under the same complete process into the correlation analysis model to determine the correlation coefficient between the coherent array and the coefficient array;

[0047] Perform normal distribution statistics on the correlation coefficients under all complete processes to determine the normal distribution probability;

[0048] If the normal distribution probability is greater than a preset probability threshold, the Hall sensor is determined to be qualified.

[0049] Preferably, the feedback and update module includes:

[0050] A venous needle insertion feedback unit is used to obtain the needle insertion area, needle insertion depth, needle insertion angle, and needle withdrawal distance of the needle insertion operation, and to determine the needle insertion operation;

[0051] If the determination result is consistent with the standard intravenous needle insertion requirement, the needle insertion operation is considered qualified.

[0052] Otherwise, feedback will be given that the acupuncture operation is unqualified, and training correction content will be provided based on the inconsistent content.

[0053] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0054] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0056] Figure 1 This is a structural diagram of a venous needle insertion training system based on a simulated arm in an embodiment of the present invention;

[0057] Figure 2 This is a structural diagram of the intravenous catheter model in an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0059] The embodiment of the present invention provides a venous needle operation training system based on a simulated arm, such as Figure 1 As shown, including:

[0060] Model construction module: constructs a venous needle model based on the standard image of human arm veins;

[0061] Block designation module: obtains the training requirements for intravenous needle insertion and formulates replacement blocks for different arm parts in the human arm vein map;

[0062] Monitoring and recording module: Based on pre-deployed sensors, it monitors the insertion area, insertion angle, and needle withdrawal distance based on the intravenous needle model during intravenous needle training, and records the number of insertions in the same insertion area;

[0063] Feedback and update module: Determine whether the intravenous needle operation is qualified based on the monitoring results. At the same time, when the number of needle insertions in the same needle insertion area is greater than the preset number, call the replacement block of the same needle insertion area to update the intravenous needle insertion model.

[0064] In this embodiment, the standard image of human arm veins refers to an image of human arm veins obtained based on the latest scientific knowledge.

[0065] In this embodiment, the intravenous needle model refers to a model constructed based on a standard image of a human arm and a human arm model, and is used to assist medical education and training.

[0066] In this embodiment, the intravenous needle operation training requirements are formulated based on the intravenous needle operation process and actual training needs.

[0067] In this embodiment, the replacement blocks for different arm parts are replacement blocks formulated according to the number of needle insertions required for each needle insertion area in the intravenous needle insertion operation training requirements.

[0068] In this embodiment, the pre-deployed sensor refers to an angle sensor and a Hall sensor pre-deployed in the intravenous catheter, which are used to monitor the needle insertion angle and needle withdrawal distance.

[0069] In this embodiment, the needling area, needling angle and needle withdrawal distance are monitored in real time, and feedback is provided in real time.

[0070] The beneficial effects of the above technical solution are: constructing a venous needle model based on a standard image of human arm veins; formulating replacement blocks for different arm parts in the human arm vein map; monitoring the needle insertion area, needle insertion angle and needle withdrawal distance based on the venous needle insertion model during venous needle insertion training; determining whether the venous needle insertion operation is qualified based on the monitoring results, and retrieving the replacement blocks of the same needle insertion area to update the venous needle insertion model; it not only meets the needs of multiple needle insertions, but also can provide real-time feedback on needle insertion information, thereby improving the efficiency of venous needle insertion operation training.

[0071] The embodiment of the present invention provides a venous needle operation training system based on a simulated arm, and a model construction module, including:

[0072] A vein image acquisition unit is used to acquire the latest human arm vein image as a standard human arm vein image;

[0073] A human arm construction unit is used to construct a human arm model based on the human skin structure and a skin structure-simulation material mapping table, wherein the human skin structure is composed of the epidermis, dermis and subcutaneous tissue from the outside to the inside;

[0074] A venous needle model construction unit is used to add conductive silicone material to the outside of the simulated skin structure corresponding to the human skin structure involved;

[0075] A venous needle puncture model is constructed based on the standard image of human arm veins and a human arm model with conductive silicone material added.

[0076] In this embodiment, the skin structure-simulation material mapping table refers to the best material currently used to simulate the structure of human skin.

[0077] In this embodiment, the conductive silicone material is used to monitor whether a needle insertion operation occurs and to monitor the depth of the needle insertion when the needle insertion operation occurs. When the core of the intravenous indwelling needle is inserted into the conductive silicone material, a passage is formed, resulting in changes in different parameters.

[0078] The beneficial effects of the above technical solution are: it is used to construct a human arm model based on the human skin structure and the skin structure-simulated material mapping table, thereby improving the authenticity of the model, further simulating the actual operating environment, and improving the reliability of intravenous needle operation training; adding conductive silicone material realizes real-time monitoring of the needle operation.

[0079] The embodiment of the present invention provides a venous needle operation training system based on a simulated arm, which includes a block designation module, including:

[0080] Training requirement acquisition unit, used to obtain intravenous needle operation training requirements;

[0081] The standard image of human arm veins is divided into different arm parts. According to the training requirements of intravenous needle operation, the required number of needle insertions in different arm parts is obtained;

[0082] a block specifying unit, configured to obtain the venous needle model regions corresponding to different arm parts in the standard image of human arm veins;

[0083] According to the simulated material used in each area of ​​the venous needle model, the allowed number of needle insertions in each area of ​​the venous needle model is obtained, and combined with the required number of needle insertions, replacement blocks for different arm parts in the standard image of human arm veins are formulated.

[0084] In this embodiment, the standard image of the human arm vein is divided into different arm parts, for example, arm part 1, arm part 2, etc.; the required number of needle insertions for different arm parts is obtained. For example, according to the requirements of intravenous needle operation training, the required number of needle insertions for arm part 1 is 20, and the required number of needle insertions for arm part 2 is 25.

[0085] In this embodiment, the venous needle model areas corresponding to different arm parts in the standard image of human arm veins are obtained. For example, the venous needle model area corresponding to arm part 1 is a1, and the venous needle model area corresponding to arm part 2 is a2.

[0086] In this embodiment, the allowed number of needle insertions for each area in the intravenous needle model is obtained. For example, the allowed number of needle insertions for the intravenous needle model area a1 is 10 times, and the allowed number of needle insertions for the intravenous needle model area a2 is 12 times. The number of replacement blocks is determined based on the required number of needle insertions.

[0087] In this embodiment, when the allowed number of needle insertions is reached, for example, when the intravenous needle insertion model area a1 is monitored and the actual intravenous needle insertion operation is performed 10 times, if there is still a need for intravenous needle insertion operation in the intravenous needle insertion model area a1 at this moment, the replacement block of a1 is replaced.

[0088] The beneficial effects of the above technical solution are: according to the requirements of intravenous needle operation training, the required number of needle insertions for different arm parts is obtained, and replacement blocks for different arm parts are formulated, which increases the service life of the model and meets the requirements of intravenous needle operation training.

[0089] An embodiment of the present invention provides a venous needle insertion training system based on a simulated arm, wherein the block designation unit is further configured to:

[0090] Number of acupuncture treatments as needed and the number of needle insertions allowed , determine the number of blocks corresponding to the arm part ;

[0091]

[0092] in, represents a round-down symbol, wherein the allowed number of acupuncture times is the preset number of acupuncture times corresponding to the acupuncture area.

[0093] In this embodiment, the number of blocks corresponding to the arm part is determined. For example, the allowed number of injections in the intravenous needle model area a1 is 10 times, and the corresponding required number of injections is 20 times. Then the number of replacement blocks for arm part 1 is 3, and the number of replacement blocks for arm part 2 is 4.

[0094] The beneficial effects of the above technical solution are: determining the number of replacement blocks and using the replacement blocks ensures the completion of the intravenous needle operation training task and improves the service life of the model.

[0095] An embodiment of the present invention provides a venous needle insertion training system based on a simulated arm, further comprising:

[0096] An indwelling needle construction module is used to construct an indwelling needle model based on a standard intravenous indwelling needle structure, a pre-deployed angle sensor, a pre-deployed Hall sensor, and a pre-deployed magnet;

[0097] The pre-deployed angle sensor and the pre-deployed Hall sensor are arranged in the intravenous indwelling needle device connected to the needle core of the intravenous indwelling needle, and the pre-deployed magnet is arranged in the intravenous indwelling needle hose device.

[0098] In this embodiment, the standard intravenous indwelling needle structure includes a core needle of the intravenous indwelling needle and a flexible tube that can be indwelled in a vein.

[0099] In this embodiment, an indwelling needle model is constructed, such as Figure 2 As shown, the angle sensor and the Hall sensor are pre-deployed in the intravenous indwelling needle device connected to the needle core of the intravenous indwelling needle, and the magnet is pre-deployed in the intravenous indwelling needle hose device.

[0100] In this embodiment, the angle of the needle is monitored and identified based on the angle sensor, and the distance of the needle withdrawal is monitored and identified based on the Hall sensor and the magnet.

[0101] The beneficial effect of the above technical solution is: by constructing an intravenous catheter model, real-time monitoring of the needle insertion angle and needle withdrawal distance is achieved based on the pre-deployed angle sensor and pre-deployed Hall sensor, which is conducive to providing corresponding feedback based on the real-time monitoring results and improving training efficiency.

[0102] An embodiment of the present invention provides a venous needle operation training system based on a simulated arm, further comprising: a verification module for verifying the monitoring and recording module before the monitoring and recording module officially operates, including:

[0103] A needle insertion depth monitoring unit records, when the intravenous needle core performs an insertion operation on the intravenous needle model, the conductivity of different conductive silicone materials at each moment during the insertion process and the contact position between the intravenous needle core and each conductive silicone material, and obtains a needle insertion depth set, wherein the different conductive silicone materials are composed according to the structure of human skin, and the conductive silicone materials deployed from the outside to the inside are respectively recorded as a first conductive silicone material, a second conductive silicone material, and a third conductive silicone material;

[0104] a needle insertion angle monitoring unit, configured to use the insertion angle corresponding to the last needle insertion depth in the needle insertion depth set as a simulated needle insertion angle, control the intravenous indwelling needle core to perform multiple simulations according to the simulated needle insertion angle, and detect the first needle insertion angle of the intravenous indwelling needle core at each simulated position point during each simulation process based on a pre-deployed angle sensor, thereby constructing a needle insertion angle set corresponding to the simulation process;

[0105] The acupuncture distance monitoring unit is used to detect the first distance of each simulation position point in each simulation process based on the Hall sensor, and construct a first distance set corresponding to the simulation process;

[0106] A needle withdrawal distance monitoring unit is used to detect the second distance of each needle withdrawal position point in the needle withdrawal process after each simulation process based on the Hall sensor, and to construct a second distance set corresponding to the needle withdrawal process;

[0107] a qualified judgment unit, configured to judge whether the Hall sensor is qualified according to the acupuncture depth set, the acupuncture angle set, the first distance set, and the second distance set;

[0108] If qualified, it is determined that the monitoring and recording modules can work normally;

[0109] Otherwise, it will remind you that there is an abnormality in the Hall sensor.

[0110] In this embodiment, the conductivity of different conductive silicone materials at each moment during the acupuncture process is recorded. For example, if the first conductive silicone material is conductive and the second conductive silicone material is not conductive, the acupuncture depth at this moment is the epidermis, which is recorded as the first acupuncture depth; the acupuncture depth is recorded as the second acupuncture depth; the acupuncture depth is recorded as the third acupuncture depth, and acupuncture depth is constructed.

[0111] In this embodiment, the simulated acupuncture angle refers to the insertion angle corresponding to the last acupuncture depth in the acupuncture depth set. For example, if the last acupuncture depth is the third acupuncture depth and the corresponding insertion angle is 30 degrees, the simulated acupuncture angle is 30 degrees.

[0112] In this embodiment, the first needle insertion angle refers to the needle insertion angle of the intravenous indwelling needle core detected by the pre-deployed angle sensor based on each simulated position point during each simulation process; based on the first needle insertion angle, a needle insertion angle set corresponding to the simulation process is constructed, and the needle insertion angle set is: [needle insertion angle of position point 1, needle insertion angle of position point 2...].

[0113] In this embodiment, the simulated position point refers to the acupuncture position point during the simulation process.

[0114] In this embodiment, the first distance refers to the distance based on each simulation position point detected by the Hall sensor during each simulation process, for example, 0.2 mm, to construct a first distance set: [distance of position point 1, distance of position point 2...].

[0115] In this embodiment, the needle withdrawal position refers to the position of the intravenous indwelling needle during the needle withdrawal process.

[0116] In this embodiment, the second distance refers to the distance of each needle withdrawal position point in the needle withdrawal process after each simulation process detected by the Hall sensor. For example, the Hall sensor detects that the second distance is 1.0 mm; based on the second distance, a second distance set corresponding to the needle withdrawal process is constructed.

[0117] In this embodiment, when the acupuncture depth set, the acupuncture angle set, the first distance set, and the second distance set meet the preset conditions, the angle sensor and the Hall sensor are determined to be qualified, that is, the monitoring and recording module can work normally;

[0118] Otherwise, it will remind the Hall sensor that there is an abnormality. For example, when it is monitored that the acupuncture angle set does not meet the preset requirements, the angle sensor is judged to be unqualified; when it is monitored that the first distance set / the second distance set does not meet the preset requirements, the Hall sensor is judged to be unqualified; when it is monitored that the acupuncture depth set does not meet the preset requirements, both the angle sensor and the Hall sensor are judged to be unqualified.

[0119] The beneficial effect of the above technical solution is that before the monitoring and recording module starts formal operation, the monitoring and recording module is verified to ensure that the pre-deployed angle sensor and the pre-deployed Hall sensor are working properly, laying the foundation for subsequent correct acupuncture feedback.

[0120] An embodiment of the present invention provides a venous needle insertion training system based on a simulated arm, wherein the qualification judgment unit includes:

[0121] Matrix building block: Construct a first point matrix based on the needle depth set, needle angle set, first distance set and second distance set of each needle insertion and needle withdrawal process, wherein the first point matrix is ​​4 rows A matrix of columns, where Indicates the number of different simulation positions involved in the complete process, and fills the elements in the corresponding set that do not have simulation positions with 0;

[0122] Eliminate the vector columns with two or more elements of 0 in the first point matrix to obtain a second point matrix with 4 rows. a matrix of columns;

[0123] Coherence array building block: determining the signal coherence of each column vector in the second dot matrix respectively;

[0124]

[0125] in, Indicates the Signal coherence of column vector; Indicates the The first column vector The weight of each element; Indicates the The first column vector The actual signal value corresponding to the elements; Indicates the The first column vector The standard signal value corresponding to the elements;

[0126] Build a coherent array based on signal coherence ;

[0127] A coefficient array building block: determining a signal change coefficient for each row vector in the second point matrix;

[0128]

[0129] in, Indicates the The number of simulated position points in the row vector whose actual signal values ​​are outside the preset signal range; Indicates the An actual signal value that is not within the corresponding preset signal range; Indicates that the corresponding row vector is located at Signal value on the left; Indicates that the corresponding row vector is located at Signal value on the right; Indicates the maximum value symbol; Indicates the The number of simulated position points in the row vector where the actual signal value is within the preset signal range; Indicates the an actual signal value corresponding to a preset signal range;

[0130] According to the signal variation coefficient, a coefficient array is constructed ;

[0131] Qualified judgment block: inputting the coherent array and the coefficient array under the same complete process into the correlation analysis model to determine the correlation coefficient between the coherent array and the coefficient array;

[0132] Perform normal distribution statistics on the correlation coefficients under all complete processes to determine the normal distribution probability;

[0133] If the normal distribution probability is greater than a preset probability threshold, the Hall sensor is determined to be qualified.

[0134] In this embodiment, the first point matrix refers to the row matrix constructed according to the needle insertion depth set, needle insertion angle set, first distance set and second distance set of each complete needle insertion and needle withdrawal process. A matrix of columns.

[0135] In this embodiment, the second point matrix refers to the four rows obtained by eliminating the vector columns with two or more elements being 0 in the first point matrix. A matrix of columns.

[0136] In this embodiment, the signal coherence refers to the correlation between the actual signal value of each column vector in the second point matrix and the corresponding standard signal value.

[0137] In this embodiment, the coherence array refers to an array constructed based on signal coherence, and is used to provide feedback on the signal coherence corresponding to the complete process of needle insertion and needle withdrawal.

[0138] In this embodiment, the signal variation coefficient refers to the correlation between the actual signal value of each row vector in the second dot matrix and the preset signal range.

[0139] In this embodiment, the coefficient array refers to an array constructed based on the signal change coefficients, and is used to feedback the signal changes corresponding to the complete process of needle insertion and needle withdrawal.

[0140] In this embodiment,

[0141] First matrix = ;

[0142] For example, if there are two or more elements 0 in the column vector corresponding to point n1, then delete the column vector corresponding to point n1 and get the second matrix as follows:

[0143] Second matrix = ;

[0144] In this embodiment, the depth, angle and distance can all be represented according to relevant signals.

[0145] In this embodiment, the correlation analysis model is pre-trained and is obtained based on different coherent arrays and coefficient arrays and the corresponding correlation coefficients are trained as samples. Therefore, the correlation coefficients consistent with the two arrays can be directly obtained.

[0146] In this embodiment, the complete process includes all simulated position points involved in the needle insertion process and the needle withdrawal process.

[0147] In this embodiment, the preset probability threshold is generally 0.6.

[0148] The beneficial effects of the above technical solution are: by constructing a matrix, determining the signal coherence, analyzing the coherence array and coefficient array under the same complete process, and judging whether the Hall sensor is qualified, the accuracy of the judgment of the Hall sensor is ensured, which is conducive to the completion of the intravenous needle operation training task.

[0149] The embodiment of the present invention provides a venous needle operation training system based on a simulated arm, and a feedback and update module, including:

[0150] A venous needle insertion feedback unit is used to obtain the needle insertion area, needle insertion depth, needle insertion angle, and needle withdrawal distance of the needle insertion operation, and to determine the needle insertion operation;

[0151] If the determination result is consistent with the standard intravenous needle insertion requirement, the needle insertion operation is considered qualified.

[0152] Otherwise, feedback will be given that the acupuncture operation is unqualified, and training correction content will be provided based on the inconsistent content.

[0153] In this embodiment, the standard intravenous needle insertion requirements include, for example, the needle insertion area is the vein area, the needle insertion depth is the third needle insertion depth, the needle insertion angle is 30 degrees, and the needle withdrawal distance is 0.2 mm.

[0154] In this embodiment, the training correction content refers to the content provided for correcting the intravenous needle insertion operation based on the inconsistent content. For example, if the needle insertion angle is incorrectly 35 degrees, a correction angle of 5 degrees is provided according to the standard intravenous needle insertion requirements so that the next needle insertion angle meets the intravenous needle insertion requirement of 30 degrees.

[0155] In this embodiment, intravenous needle insertion feedback is performed in real time.

[0156] The beneficial effect of the above technical solution is: the needle insertion operation is judged according to the needle insertion area, needle insertion depth, needle insertion angle and needle withdrawal distance of the needle insertion operation. When the feedback is unqualified, training correction content is provided based on the inconsistent content, thereby improving the efficiency of intravenous needle insertion operation training.

[0157] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A venous needle operation training system based on a simulated arm, characterized in that: include: Model construction module: constructs a venous needle model based on the standard image of human arm veins; Block designation module: obtains the training requirements for intravenous needle insertion and formulates replacement blocks for different arm parts in the standard image of human arm veins; Monitoring and recording module: Based on pre-deployed sensors, it monitors the insertion area, insertion angle, and needle withdrawal distance based on the intravenous needle model during intravenous needle training, and records the number of insertions in the same insertion area; Feedback and update module: Determine whether the intravenous needle insertion operation is qualified based on the monitoring results. At the same time, when the number of needle insertions in the same needle insertion area exceeds the preset number, call the replacement block of the same needle insertion area to update the intravenous needle insertion model; Also includes: An indwelling needle construction module is used to construct an indwelling needle model based on a standard intravenous indwelling needle structure, a pre-deployed angle sensor, a pre-deployed Hall sensor, and a pre-deployed magnet; The pre-deployed angle sensor and the pre-deployed Hall sensor are arranged in the intravenous indwelling needle device connected to the needle core of the intravenous indwelling needle, and the pre-deployed magnet is arranged in the intravenous indwelling needle hose device; The system further includes a verification module for verifying the monitoring and recording module before the monitoring and recording module starts to work, including: A needle insertion depth monitoring unit records, when the intravenous needle core performs an insertion operation on the intravenous needle model, the conductivity of different conductive silicone materials at each moment during the insertion process and the contact position between the intravenous needle core and each conductive silicone material, and obtains a needle insertion depth set, wherein the different conductive silicone materials are composed according to the structure of human skin, and the conductive silicone materials deployed from the outside to the inside are respectively recorded as a first conductive silicone material, a second conductive silicone material, and a third conductive silicone material; a needle insertion angle monitoring unit, configured to use the insertion angle corresponding to the last needle insertion depth in the needle insertion depth set as a simulated needle insertion angle, control the intravenous indwelling needle core to perform multiple simulations according to the simulated needle insertion angle, and detect the first needle insertion angle of the intravenous indwelling needle core at each simulated position point during each simulation process based on a pre-deployed angle sensor, thereby constructing a needle insertion angle set corresponding to the simulation process; The acupuncture distance monitoring unit is used to detect the first distance of each simulation position point in each simulation process based on the Hall sensor, and construct a first distance set corresponding to the simulation process; A needle withdrawal distance monitoring unit is used to detect the second distance of each needle withdrawal position point in the needle withdrawal process after each simulation process based on the Hall sensor, and to construct a second distance set corresponding to the needle withdrawal process; a qualified judgment unit, configured to judge whether the Hall sensor is qualified according to the acupuncture depth set, the acupuncture angle set, the first distance set, and the second distance set; If qualified, it is determined that the monitoring and recording modules can work normally; Otherwise, it will remind you that there is an abnormality in the Hall sensor; The qualification judgment unit includes: Matrix building block: Construct a first point matrix based on the needle depth set, needle angle set, first distance set and second distance set of each needle insertion and needle withdrawal process, wherein the first point matrix is ​​4 rows A matrix of columns, where Indicates the number of different simulation positions involved in the complete process, and fills the elements in the corresponding set that do not have simulation positions with 0; Eliminate the vector columns with two or more elements of 0 in the first point matrix to obtain a second point matrix with 4 rows. a matrix of columns; Coherence array building block: determining the signal coherence of each column vector in the second dot matrix respectively; in, Indicates the Signal coherence of column vector; Indicates the The first column vector The weight of each element; Indicates the The first column vector The actual signal value corresponding to the elements; Indicates the The first column vector The standard signal value corresponding to the elements; Build a coherent array based on signal coherence ; A coefficient array building block: determining a signal change coefficient for each row vector in the second point matrix; in, Indicates the The number of simulated position points in the row vector whose actual signal values ​​are outside the preset signal range; Indicates the An actual signal value that is not within the corresponding preset signal range; Indicates that the corresponding row vector is located at Signal value on the left; Indicates that the corresponding row vector is located at Signal value on the right; Indicates the maximum value symbol; Indicates the The number of simulated position points in the row vector where the actual signal value is within the preset signal range; Indicates the an actual signal value corresponding to a preset signal range; According to the signal variation coefficient, a coefficient array is constructed ; Qualified judgment block: inputting the coherent array and the coefficient array under the same complete process into the correlation analysis model to determine the correlation coefficient between the coherent array and the coefficient array; Perform normal distribution statistics on the correlation coefficients under all complete processes to determine the normal distribution probability; If the normal distribution probability is greater than a preset probability threshold, the Hall sensor is determined to be qualified.

2. The intravenous needle operation training system based on the artificial arm according to claim 1, characterized in that: Model building modules, including: A vein image acquisition unit is used to acquire the latest human arm vein image as a standard human arm vein image; A human arm construction unit is used to construct a human arm model based on the human skin structure and a skin structure-simulation material mapping table, wherein the human skin structure is composed of the epidermis, dermis and subcutaneous tissue from the outside to the inside; A venous needle model construction unit is used to add conductive silicone material to the outside of the simulated skin structure corresponding to the human skin structure involved; A venous needle puncture model is constructed based on the standard image of human arm veins and a human arm model with conductive silicone material added.

3. The intravenous needle operation training system based on the artificial arm according to claim 1, characterized in that: Block-specified modules include: Training requirement acquisition unit, used to obtain intravenous needle operation training requirements; The standard image of human arm veins is divided into different arm parts. According to the training requirements of intravenous needle operation, the required number of needle insertions in different arm parts is obtained; a block specifying unit, configured to obtain the venous needle model regions corresponding to different arm parts in the standard image of human arm veins; According to the simulated material used in each area of ​​the venous needle model, the allowed number of needle insertions in each area of ​​the venous needle model is obtained, and combined with the required number of needle insertions, replacement blocks for different arm parts in the standard image of human arm veins are formulated.

4. The intravenous needle operation training system based on the artificial arm according to claim 3, characterized in that: The block designation unit is further configured to: Number of acupuncture treatments as needed and the number of needle insertions allowed , determine the number of blocks corresponding to the arm part ; in, represents a round-down symbol, wherein the allowed number of acupuncture times is the preset number of acupuncture times corresponding to the acupuncture area.

5. The intravenous needle operation training system based on the artificial arm according to claim 1, characterized in that: Feedback and update modules, including: A venous needle insertion feedback unit is used to obtain the needle insertion area, needle insertion depth, needle insertion angle, and needle withdrawal distance of the needle insertion operation, and to determine the needle insertion operation; If the determination result is consistent with the standard intravenous needle insertion requirement, the needle insertion operation is considered qualified. Otherwise, feedback will be given that the acupuncture operation is unqualified, and training correction content will be provided based on the inconsistent content.

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