CN114557722A - Imaging control system and method of medical ultrasonic detection equipment - Google Patents
Imaging control system and method of medical ultrasonic detection equipment Download PDFInfo
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- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/42—Details of probe positioning or probe attachment to the patient
- A61B8/4209—Details of probe positioning or probe attachment to the patient by using holders, e.g. positioning frames
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- A61B8/42—Details of probe positioning or probe attachment to the patient
- A61B8/4245—Details of probe positioning or probe attachment to the patient involving determining the position of the probe, e.g. with respect to an external reference frame or to the patient
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/42—Details of probe positioning or probe attachment to the patient
- A61B8/4272—Details of probe positioning or probe attachment to the patient involving the acoustic interface between the transducer and the tissue
- A61B8/429—Details of probe positioning or probe attachment to the patient involving the acoustic interface between the transducer and the tissue characterised by determining or monitoring the contact between the transducer and the tissue
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- A—HUMAN NECESSITIES
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- A61B8/54—Control of the diagnostic device
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Abstract
The invention relates to an imaging control system and method of medical ultrasonic detection equipment, which comprises a plurality of ultrasonic equipment, a background server and a remote control terminal, can store diagnosis history information of a patient, has an identity recognition function, can extract parameter information of a probe when the patient detects and captures an optimal image in the previous time after acquiring the identity of the patient, can be directly referred by medical staff, shortens the detection time, and is convenient for the staff with insufficient experience to quickly get hands. Still be equipped with hand-held type terminal equipment and supply medical personnel to look over the formation of image result in real time at the testing process, in time adjust the probe. The ultrasonic diagnosis device has an automatic detection function, can generate a probe control instruction according to the physiological parameters of the patient and the clinic history information, controls the probe to automatically carry out ultrasonic detection, and realizes the functions of remote control and saving professional ultrasonic detection personnel.
Description
Technical Field
The invention belongs to the technical field of medical treatment, and particularly relates to an imaging control system and method of medical ultrasonic detection equipment.
Background
An ultrasonic instrument is also called as an ultrasonic instrument, is a medical instrument developed according to the ultrasonic principle and is applied to the medical clinical, diagnostic and sanitary fields. The ultrasonic diagnostic apparatus mainly refers to an ultrasonic diagnostic apparatus in a medical image system, and has the characteristics of low price compared with CT and MRI, no wound and real-time acquisition of human tissue images, so the clinical application range is wider and wider, and the increase of the total sales in the world is expected to exceed that of an X-ray diagnostic apparatus.
In the existing ultrasonic detection equipment, medical personnel usually operate an ultrasonic probe to carry out ultrasonic detection on a part to be detected of a patient, and the position, the direction and the pressure of the probe all affect the imaging quality of ultrasonic, so that in the detection process, the space posture and the strength of the probe need to be adjusted in real time according to the current imaging result to capture the best ultrasonic image, but the medical personnel with insufficient experience hardly adjust the best capture position in a short time, and the difficulty of hands on the medical personnel is high. In the existing ultrasonic equipment, the display screen is usually arranged on the equipment body, and an operator is far away from the equipment body in the detection process, even faces away from the equipment body, and cannot acquire an imaging result in real time to adjust the probe.
The existing ultrasonic equipment needs medical personnel to manually control the probe, and along with the wide popularization of ultrasonic detection equipment, the condition that professional ultrasonic detection personnel are insufficient is more prominent.
Disclosure of Invention
In order to solve the problems, the invention provides an imaging control system and method of medical ultrasonic detection equipment, the system can store the diagnosis history information of a patient, has an identity recognition function, can extract the parameter information of a probe when the patient performs the previous detection and captures the optimal image after acquiring the identity of the patient, can be directly referred by medical staff, shortens the detection time, and is convenient for the staff with insufficient experience to get hands quickly. Still be equipped with hand-held type terminal equipment and supply medical personnel to look over the formation of image result in real time at the testing process, in time adjust the probe. The ultrasonic diagnosis device has an automatic detection function, can generate a probe control instruction according to the physiological parameters of the patient and the clinic history information, controls the probe to automatically carry out ultrasonic detection, and realizes the functions of remote control and saving professional ultrasonic detection personnel.
The invention relates to an imaging control system of medical ultrasonic detection equipment, which is characterized by comprising a plurality of ultrasonic equipment, a background server and a remote control terminal, wherein the ultrasonic equipment comprises a processor, an ultrasonic transceiver module, a physiological detection module, an identity recognition module, a data transmission module, a reminding module, a database and an ultrasonic probe; the ultrasonic equipment is connected with the background server in a wired or wireless mode; the ultrasonic equipment is also connected with a plurality of computer equipment; the ultrasonic equipment is also provided with a handheld terminal device which is connected with the ultrasonic equipment in a wireless mode; and a plurality of remote control terminals access the background server in a webpage or APP mode.
Further, before the ultrasonic detection of the patient, the identity recognition module is used for carrying out identity recognition, and the processor acquires the clinic historical information of the patient from the database according to the identity information of the patient; the physiological detection module acquires various physiological parameters of a patient; the processor compares various current physiological parameters of the patient with various physiological parameters of the patient in the previous visit, if the difference between the two times does not exceed a preset value, the parameter information of the ultrasonic probe in the process of obtaining the optimal image in the previous detection is extracted, and medical staff is reminded through a reminding module or the information is sent to handheld terminal equipment or computer equipment; if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the information of the optimal parameters detected at this time according to the trained neural network model and sends the information to the ultrasonic equipment, and the information is displayed to medical staff for reference by the ultrasonic equipment through handheld terminal equipment or computer equipment.
Furthermore, in the process of controlling the ultrasonic probe to detect by medical personnel, an imaging module of the processor images the detection condition in real time and sends the detection condition to the handheld terminal equipment; after ultrasonic detection data capable of realizing optimal imaging are obtained, the detection data are synchronously sent to the background server, and an ultrasonic detection image is generated by the background server and fed back to the ultrasonic equipment.
Furthermore, the ultrasonic equipment is also connected with a probe bracket and an automatic ultrasonic coupling agent smearing device, and the probe bracket and the automatic ultrasonic coupling agent smearing device are controlled by a control module of the processor; the ultrasonic probe is also provided with a probe position detection unit, a probe angle detection unit and a probe pressure detection unit.
Further, before the ultrasonic detection of the patient, the identity recognition module is used for carrying out identity recognition, and the processor acquires the clinic historical information of the patient from the database according to the identity information of the patient; the physiological detection module acquires various physiological parameters of a patient; the processor compares various current physiological parameters of the patient with various physiological parameters of the patient in the previous visit, if the difference between the two times does not exceed a preset value, parameter information of the ultrasonic probe in the process of obtaining the optimal image in the previous detection is extracted and sent to the control module, the control module of the processor generates a control instruction and sends the control instruction to the probe bracket, and the probe bracket drives the ultrasonic probe to carry out ultrasonic detection; if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the optimal parameter information of the detection according to a trained neural network model and sends the optimal parameter information to the ultrasonic equipment, a control module of the processor generates a control instruction according to the optimal parameter information provided by the server and sends the control instruction to the probe support, and the probe support drives the ultrasonic probe to carry out ultrasonic detection; in the detection process of the ultrasonic probe, the probe position detection unit acquires current position information of the probe in real time, the probe angle detection unit acquires current angle information of the probe in real time, and the probe pressure detection unit acquires current pressure information of the probe in real time, the imaging module of the processor automatically images in real time according to the information acquired by the probe, and the control module of the processor generates a control instruction according to the imaging information and probe information fed back by the probe position detection unit, the probe angle detection unit and the probe pressure detection unit, and adjusts the probe support to move in real time.
Further, when comparing whether the current physiological parameters of the patient and the physiological parameters in the previous visit exceed preset values, a weight coefficient and a difference threshold value are preset for each physiological parameter, if the difference value of a certain physiological parameter is smaller than the preset difference threshold value twice, a value is assigned to 0, if the difference value of a certain physiological parameter is larger than the preset difference threshold value twice, a value is assigned to 1, and the weight coefficient of the physiological parameter is multiplied by the value to obtain the difference value of the physiological parameter; and after the item-by-item comparison is finished, scoring and summing the difference values of the physiological parameters to obtain a total score, and judging whether the total score exceeds a preset value.
The invention also relates to a control method of an imaging control system for a medical ultrasonic detection device, which comprises the following steps:
step 1: the identity recognition is carried out through an identity recognition module, and the processor acquires the clinic history information of the patient from the database according to the identity information of the patient;
step 2: the physiological detection module acquires various physiological parameters of a patient;
and step 3: comparing each current physiological parameter of the patient with each physiological parameter of the patient in the previous visit, and judging whether the difference of the two times exceeds a threshold value;
if the difference between the two times does not exceed the preset value, extracting the parameter information of the ultrasonic probe when the optimal image is obtained in the previous detection, and reminding medical personnel through a reminding module or sending the information to handheld terminal equipment or computer equipment;
if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the information of the optimal parameters detected at this time according to the trained neural network model and sends the information to the ultrasonic equipment, and the information is displayed to medical staff for reference by the ultrasonic equipment through handheld terminal equipment or computer equipment.
Further, after step 3, the method further comprises the following steps:
when medical personnel control the ultrasonic probe to detect, an imaging module of the processor images the detection condition in real time and sends the detection condition to the handheld terminal equipment; after ultrasonic detection data capable of realizing optimal imaging are obtained, the detection data are synchronously sent to the background server, and an ultrasonic detection image is generated by the background server and fed back to the ultrasonic equipment.
Further, after step 2, the following steps are performed:
and step 3: comparing each current physiological parameter of the patient with each physiological parameter of the patient in the previous visit, and judging whether the difference of the two times exceeds a threshold value;
if the difference between the two times does not exceed the preset value, extracting the parameter information of the ultrasonic probe when the optimal image is obtained in the previous detection and sending the parameter information to the control module, generating a control instruction by the control module of the processor and sending the control instruction to the probe bracket, and driving the ultrasonic probe to carry out ultrasonic detection by the probe bracket;
if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the optimal parameter information of the detection according to a trained neural network model and sends the optimal parameter information to the ultrasonic equipment, a control module of the processor generates a control instruction according to the optimal parameter information provided by the server and sends the control instruction to the probe support, and the probe support drives the ultrasonic probe to carry out ultrasonic detection;
step 4, an imaging module of the processor automatically images in real time according to information acquired by the probe;
and 5: the probe position detection unit acquires current position information of the probe in real time, the probe angle detection unit acquires current angle information of the probe in real time, and the probe pressure detection unit acquires current pressure information of the probe in real time;
step 6: and generating a control instruction according to the imaging information and the probe information fed back by the probe position detection unit, the probe angle detection unit and the probe pressure detection unit, and adjusting the movement of the probe bracket in real time.
Further, when comparing whether the current physiological parameters of the patient and the physiological parameters in the previous visit exceed preset values, a weight coefficient and a difference threshold value are preset for each physiological parameter, if the difference value of a certain physiological parameter is smaller than the preset difference threshold value twice, a value is assigned to 0, if the difference value of a certain physiological parameter is larger than the preset difference threshold value twice, a value is assigned to 1, and the weight coefficient of the physiological parameter is multiplied by the value to obtain the difference value of the physiological parameter; and after the item-by-item comparison is finished, scoring and summing the difference values of the physiological parameters to obtain a total score, and judging whether the total score exceeds a preset value.
The invention has the following technical effects:
1. the invention provides an imaging control system and method of medical ultrasonic detection equipment, which can store the diagnosis history information of a patient, has an identity recognition function, can extract the parameter information of a probe when the patient captures an optimal image in the previous detection after acquiring the identity of the patient, can be directly referred by medical personnel, shortens the detection time, and is convenient for the inexperienced personnel to quickly get hands.
2. The invention is also provided with a handheld terminal device for medical staff to check the imaging result in real time in the detection process and adjust the probe in time.
3. The invention also has the automatic detection function, can generate a probe control instruction according to the physiological parameters of the patient and the clinic history information, controls the probe to automatically carry out ultrasonic detection, realizes the remote control and saves professional ultrasonic detection personnel.
Drawings
FIG. 1 is a schematic diagram of an imaging control system of an ultrasonic testing apparatus according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an imaging control system of an ultrasonic testing apparatus according to an embodiment of the present invention;
FIG. 3 is a flow chart of an imaging control method of an ultrasonic testing apparatus in one embodiment of the invention;
fig. 4 is a flowchart of an imaging control method of an ultrasonic inspection apparatus according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which embodiments of the invention are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Like numbers refer to like elements throughout.
It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
It will be understood that when an element such as a layer, region or substrate is referred to as being "on" or "extending" over "another element, it can be directly on or extend directly over the other element or intervening elements may also be present. In contrast, when an element is referred to as being "directly on" or extending "directly onto" another element, there are no intervening elements present. It will also be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present. In contrast, when an element is referred to as being "directly connected" or "directly coupled" to another element, there are no intervening elements present.
Relative terms, such as "below" or "above", "above" or "below" or "horizontal" or "vertical", may be used herein to describe one element, layer or region's relationship to another element, layer or region. As shown, it will be understood that these terms are intended to encompass different orientations of the device in addition to the orientation depicted in the figures.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms used herein should be interpreted as having a meaning that is consistent with their meaning in the context of this specification and the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The present invention is described below with reference to flowchart illustrations and/or block diagrams of methods, systems and computer program products according to embodiments of the invention. It will be understood that some blocks 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 program instructions. These computer program instructions may be stored or embodied in a microcontroller, microprocessor, Digital Signal Processor (DSP), Field Programmable Gate Array (FPGA), state machine, Programmable Logic Controller (PLC) or other processing circuitry, general purpose computer, or special purpose computer. Use of a computer or other programmable data processing apparatus (e.g., a production machine) to create a means or block diagram for implementing the function/act specified in the flowchart and/or block diagram block or blocks by means of instructions executed by the processor of the computer or other programmable data processing apparatus.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means. The functions/acts specified in the flowchart and/or block diagram are implemented.
The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions that execute on the computer or other programmable apparatus are possible. Other programmable apparatus provide steps for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. It should be understood that the functions/acts noted in the blocks may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Although some of the figures include arrows on communication paths to show the primary direction of communication, it is to be understood that communication may occur in the opposite direction to the depicted arrows.
The specific implementation process of the invention is as follows:
embodiment 1, as shown in fig. 1, the present invention relates to an imaging control system of a medical ultrasonic detection device, which is characterized by comprising a plurality of ultrasonic devices, a background server and a remote control terminal, wherein each ultrasonic device comprises a processor, an ultrasonic transceiver module, a physiological detection module, an identity identification module, a data transmission module, a reminding module, a database and an ultrasonic probe; the ultrasonic devices are connected with the background server in a wired or wireless mode; the ultrasonic equipment is also connected with a plurality of computer equipment; the ultrasonic equipment is also provided with a handheld terminal device which is connected with the ultrasonic equipment in a wireless mode; and a plurality of remote control terminals access the background server in a webpage or APP mode.
The background server can be a cloud server; the remote control terminal may be a mobile phone, a tablet computer, a notebook computer, a computer, and the like, which is not limited herein.
The physiological detection module can detect various physiological parameters of the patient, such as height, weight, blood pressure, heart rate, pulse and the like, and is not limited herein.
The identity identification module may adopt a card swiping identification manner such as an ID card or an RFID card, and may also adopt a biometric identification technology such as fingerprint identification or facial identification, which is not limited herein.
Before the patient is subjected to ultrasonic detection, the identity recognition module is used for carrying out identity recognition, and the processor acquires the clinic history information of the patient from the database according to the identity information of the patient; the physiological detection module acquires various physiological parameters of a patient; the processor compares various current physiological parameters of the patient with various physiological parameters of the patient in the previous visit, if the difference between the two times does not exceed a preset value, the parameter information of the ultrasonic probe in the process of obtaining the optimal image in the previous detection is extracted, and medical staff is reminded through a reminding module or the information is sent to handheld terminal equipment or computer equipment; if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the information of the optimal parameters detected at this time according to the trained neural network model and sends the information to the ultrasonic equipment, and the information is displayed to medical staff for reference by the ultrasonic equipment through handheld terminal equipment or computer equipment.
When medical personnel control the ultrasonic probe to detect, an imaging module of the processor images the detection condition in real time and sends the detection condition to the handheld terminal equipment; after ultrasonic detection data capable of realizing optimal imaging are obtained, the detection data are synchronously sent to the background server, and an ultrasonic detection image is generated by the background server and fed back to the ultrasonic equipment.
The background server can image the detection data captured by the optimal capture position, the processor of the ultrasonic equipment can also image the detection data, and imaging results of the background server and the processor can be displayed to an operator, so that the operator can select the optimal capture position conveniently.
In embodiment 2, as shown in fig. 2, the ultrasonic device is further connected to a probe holder and an automatic ultrasonic couplant smearing device, both of which are controlled by a control module of the processor; the ultrasonic probe is also provided with a probe position detection unit, a probe angle detection unit and a probe pressure detection unit.
Among them, the probe holder can be a robot arm, which is a very mature intelligent tool.
Before the patient is subjected to ultrasonic detection, the identity recognition module is used for carrying out identity recognition, and the processor acquires the clinic history information of the patient from the database according to the identity information of the patient; the physiological detection module acquires various physiological parameters of a patient; the processor compares various current physiological parameters of the patient with various physiological parameters of the patient in the previous visit, if the difference between the two times does not exceed a preset value, parameter information of the ultrasonic probe in the process of obtaining the optimal image in the previous detection is extracted and sent to the control module, the control module of the processor generates a control instruction and sends the control instruction to the probe bracket, and the probe bracket drives the ultrasonic probe to carry out ultrasonic detection; if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the optimal parameter information of the detection according to a trained neural network model and sends the optimal parameter information to the ultrasonic equipment, a control module of the processor generates a control instruction according to the optimal parameter information provided by the server and sends the control instruction to the probe support, and the probe support drives the ultrasonic probe to carry out ultrasonic detection; in the detection process of the ultrasonic probe, the probe position detection unit acquires current position information of the probe in real time, the probe angle detection unit acquires current angle information of the probe in real time, and the probe pressure detection unit acquires current pressure information of the probe in real time, the imaging module of the processor automatically images in real time according to the information acquired by the probe, and the control module of the processor generates a control instruction according to the imaging information and probe information fed back by the probe position detection unit, the probe angle detection unit and the probe pressure detection unit, and adjusts the probe support to move in real time.
When comparing whether the current physiological parameters of the patient and the physiological parameters in the previous visit exceed preset values, setting a weight coefficient and a difference threshold value for each physiological parameter in advance, if the difference value of a certain physiological parameter is smaller than the preset difference threshold value, assigning 0, if the difference value of the certain physiological parameter is larger than the preset difference threshold value, assigning 1, and multiplying the weight coefficient of the physiological parameter by the assignment to obtain the difference value scoring of the physiological parameter; and after the item-by-item comparison is finished, scoring and summing the difference values of the physiological parameters to obtain a total score, and judging whether the total score exceeds a preset value.
As shown in fig. 3, the present invention also relates to a control method of an imaging control system for a medical ultrasonic testing apparatus, the method comprising the steps of:
step 1: the identity recognition is carried out through an identity recognition module, and the processor acquires the clinic history information of the patient from the database according to the identity information of the patient;
step 2: the physiological detection module acquires various physiological parameters of a patient;
and 3, step 3: comparing each current physiological parameter of the patient with each physiological parameter of the patient in the previous visit, and judging whether the difference of the two times exceeds a threshold value;
if the difference between the two times does not exceed the preset value, extracting the parameter information of the ultrasonic probe when the optimal image is obtained in the previous detection, and reminding medical personnel through a reminding module or sending the information to handheld terminal equipment or computer equipment;
if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the information of the optimal parameters detected at this time according to the trained neural network model and sends the information to the ultrasonic equipment, and the information is displayed to medical staff for reference by the ultrasonic equipment through handheld terminal equipment or computer equipment.
After the step 3, the method also comprises the following steps:
when medical personnel control the ultrasonic probe to detect, an imaging module of the processor images the detection condition in real time and sends the detection condition to the handheld terminal equipment; after ultrasonic detection data capable of realizing optimal imaging are obtained, the detection data are synchronously sent to the background server, and an ultrasonic detection image is generated by the background server and fed back to the ultrasonic equipment.
As shown in fig. 4, after step 2, the following steps are performed:
and step 3: comparing various current physiological parameters of the patient with various physiological parameters in the previous visit, and judging whether the difference exceeds a threshold value or not;
if the difference between the two times does not exceed the preset value, extracting the parameter information of the ultrasonic probe when the optimal image is obtained in the previous detection and sending the parameter information to the control module, generating a control instruction by the control module of the processor and sending the control instruction to the probe bracket, and driving the ultrasonic probe to carry out ultrasonic detection by the probe bracket;
if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the optimal parameter information of the detection according to a trained neural network model and sends the optimal parameter information to the ultrasonic equipment, a control module of the processor generates a control instruction according to the optimal parameter information provided by the server and sends the control instruction to the probe support, and the probe support drives the ultrasonic probe to carry out ultrasonic detection;
step 4, an imaging module of the processor automatically images in real time according to information acquired by the probe;
and 5: the probe position detection unit acquires current position information of the probe in real time, the probe angle detection unit acquires current angle information of the probe in real time, and the probe pressure detection unit acquires current pressure information of the probe in real time;
step 6: and generating a control instruction according to the imaging information and the probe information fed back by the probe position detection unit, the probe angle detection unit and the probe pressure detection unit, and adjusting the movement of the probe bracket in real time.
Comparing whether the current physiological parameters of the patient and the physiological parameters in the previous visit exceed preset values, presetting a weight coefficient and a difference threshold for each physiological parameter, if the difference value of a certain physiological parameter is smaller than the preset difference threshold, assigning a value of 0, if the difference value of the certain physiological parameter is larger than the preset difference threshold, assigning a value of 1, and multiplying the weight coefficient of the physiological parameter by the assignment to obtain the difference value scoring of the physiological parameter; and after the item-by-item comparison is finished, scoring and summing the difference values of the physiological parameters to obtain a total score, and judging whether the total score exceeds a preset value.
To sum up, whole medical treatment ultrasonic testing equipment's imaging control system can save patient's diagnosis historical information, has the identity recognition function, can extract the parameter information of probe when the patient detected the best image the previous time and catches after acquireing patient's identity, and medical personnel can directly refer to, shortens check-out time, makes things convenient for the short-lived quick hands of experience personnel. Still be equipped with hand-held type terminal equipment and supply medical personnel to look over the formation of image result in real time at the testing process, in time adjust the probe. The ultrasonic diagnosis device has an automatic detection function, can generate a probe control instruction according to the physiological parameters of the patient and the clinic history information, controls the probe to automatically carry out ultrasonic detection, and realizes the functions of remote control and saving professional ultrasonic detection personnel.
Finally, it should be noted that the above-mentioned embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the same, and those skilled in the art can make various modifications or alterations of the present invention by referring to the above-mentioned embodiments after reading the present application, and all of them are within the scope of the claims of the present application.
Claims (10)
1. An imaging control system of medical ultrasonic detection equipment is characterized by comprising a plurality of ultrasonic equipment, a background server and a remote control terminal, wherein the ultrasonic equipment comprises a processor, an ultrasonic transceiver module, a physiological detection module, an identity recognition module, a data transmission module, a reminding module, a database and an ultrasonic probe; the ultrasonic devices are connected with the background server in a wired or wireless mode; the ultrasonic equipment is also connected with a plurality of computer equipment; the ultrasonic equipment is also provided with a handheld terminal device which is connected with the ultrasonic equipment in a wireless mode; and a plurality of remote control terminals access the background server in a webpage or APP mode.
2. The control system of claim 1, wherein the patient is identified by the identification module before the ultrasonic detection, and the processor obtains the clinic history information of the patient from the database according to the identity information of the patient; the physiological detection module acquires various physiological parameters of a patient; the processor compares various current physiological parameters of the patient with various physiological parameters of the patient in the previous visit, if the difference between the two times does not exceed a preset value, the parameter information of the ultrasonic probe in the process of obtaining the optimal image in the previous detection is extracted, and medical staff is reminded through a reminding module or the information is sent to handheld terminal equipment or computer equipment; if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the information of the optimal parameters detected at this time according to the trained neural network model and sends the information to the ultrasonic equipment, and the information is displayed to medical staff for reference by the ultrasonic equipment through handheld terminal equipment or computer equipment.
3. The control system of claim 2, wherein during the medical staff operating the ultrasonic probe to perform detection, the imaging module of the processor images the detection condition in real time and sends the detection condition to the handheld terminal device; after ultrasonic detection data capable of realizing optimal imaging are obtained, the detection data are synchronously sent to the background server, and an ultrasonic detection image is generated by the background server and fed back to the ultrasonic equipment.
4. The control system of claim 3, wherein the ultrasonic device is further connected with a probe bracket and an automatic ultrasonic couplant smearing device, both of which can receive the control of the control module of the processor; the ultrasonic probe is also provided with a probe position detection unit, a probe angle detection unit and a probe pressure detection unit.
5. The control system of claim 4, wherein the patient is identified by the identification module before the ultrasonic detection is performed, and the processor obtains the clinic history information of the patient from the database according to the identity information of the patient; the physiological detection module acquires various physiological parameters of a patient; the processor compares various current physiological parameters of the patient with various physiological parameters of the patient in the previous visit, if the difference between the two times does not exceed a preset value, parameter information of the ultrasonic probe in the process of obtaining the optimal image in the previous detection is extracted and sent to the control module, the control module of the processor generates a control instruction and sends the control instruction to the probe bracket, and the probe bracket drives the ultrasonic probe to carry out ultrasonic detection; if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the optimal parameter information of the detection according to a trained neural network model and sends the optimal parameter information to the ultrasonic equipment, a control module of the processor generates a control instruction according to the optimal parameter information provided by the server and sends the control instruction to the probe support, and the probe support drives the ultrasonic probe to carry out ultrasonic detection; in the detection process of the ultrasonic probe, the probe position detection unit acquires current position information of the probe in real time, the probe angle detection unit acquires current angle information of the probe in real time, and the probe pressure detection unit acquires current pressure information of the probe in real time, the imaging module of the processor automatically images in real time according to the information acquired by the probe, and the control module of the processor generates a control instruction according to the imaging information and probe information fed back by the probe position detection unit, the probe angle detection unit and the probe pressure detection unit, and adjusts the probe support to move in real time.
6. The control system according to claim 5, wherein when comparing whether the current physiological parameters of the patient and the physiological parameters at the previous visit exceed the preset values, a weight coefficient and a difference threshold are preset for each physiological parameter, if the difference between two times of a certain physiological parameter is smaller than the preset difference threshold, a value is assigned to 0, if the difference between two times of a certain physiological parameter is larger than the preset difference threshold, a value is assigned to 1, and the weight coefficient of the physiological parameter is multiplied by the value to obtain the difference score of the physiological parameter; and after the item-by-item comparison is finished, scoring and summing the difference values of the physiological parameters to obtain a total score, and judging whether the total score exceeds a preset value.
7. A control method of an imaging control system using a medical ultrasonic testing apparatus according to any one of claims 1 to 6, characterized by comprising the steps of:
step 1: the identity recognition is carried out through an identity recognition module, and the processor acquires the clinic history information of the patient from the database according to the identity information of the patient;
step 2: the physiological detection module acquires various physiological parameters of a patient;
and step 3: comparing each current physiological parameter of the patient with each physiological parameter of the patient in the previous visit, and judging whether the difference of the two times exceeds a threshold value;
if the difference does not exceed the preset value, extracting the parameter information of the ultrasonic probe when the optimal image is obtained in the previous detection, and reminding medical staff through a reminding module or sending the information to handheld terminal equipment or computer equipment;
if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the information of the optimal parameters detected at this time according to the trained neural network model and sends the information to the ultrasonic equipment, and the information is displayed to medical staff for reference by the ultrasonic equipment through handheld terminal equipment or computer equipment.
8. The method of claim 7, further comprising, after step 3, the steps of:
when medical personnel control the ultrasonic probe to detect, an imaging module of the processor images the detection condition in real time and sends the detection condition to the handheld terminal equipment; after ultrasonic detection data capable of realizing optimal imaging are obtained, the detection data are synchronously sent to the background server, and an ultrasonic detection image is generated by the background server and fed back to the ultrasonic equipment.
9. Method according to claim 7, characterized in that after step 2, the following steps are performed:
and step 3: comparing each current physiological parameter of the patient with each physiological parameter of the patient in the previous visit, and judging whether the difference of the two times exceeds a threshold value;
if the difference does not exceed the preset value, extracting the parameter information of the ultrasonic probe when the optimal image is obtained in the previous detection and sending the parameter information to the control module, generating a control instruction by the control module of the processor and sending the control instruction to the probe bracket, and driving the ultrasonic probe to carry out ultrasonic detection by the probe bracket;
if the difference of the two times exceeds a preset value, the current physiological parameters of the patient and the information of the target to be detected are sent to a background server, the background server outputs the optimal parameter information of the detection according to a trained neural network model and sends the optimal parameter information to the ultrasonic equipment, a control module of the processor generates a control instruction according to the optimal parameter information provided by the server and sends the control instruction to the probe support, and the probe support drives the ultrasonic probe to carry out ultrasonic detection;
and 4, step 4: an imaging module of the processor automatically images in real time according to the information acquired by the probe;
and 5: the probe position detection unit acquires current position information of the probe in real time, the probe angle detection unit acquires current angle information of the probe in real time, and the probe pressure detection unit acquires current pressure information of the probe in real time;
and 6: and generating a control instruction according to the imaging information and the probe information fed back by the probe position detection unit, the probe angle detection unit and the probe pressure detection unit, and adjusting the movement of the probe bracket in real time.
10. The method according to claim 8 or 9, wherein when comparing whether the current physiological parameters of the patient and the physiological parameters at the previous visit exceed the preset values, a weight coefficient and a difference threshold are preset for each physiological parameter, if the difference between two times of a certain physiological parameter is smaller than the preset difference threshold, 0 is assigned, if the difference between two times of a certain physiological parameter is larger than the preset difference threshold, 1 is assigned, and the weight coefficient of the physiological parameter is multiplied by the assignment to obtain the difference value score of the physiological parameter; and after the item-by-item comparison is finished, scoring and summing the difference values of the physiological parameters to obtain a total score, and judging whether the total score exceeds a preset value.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116196034A (en) * | 2023-05-04 | 2023-06-02 | 北京易优联科技有限公司 | Ultrasonic imaging method and system |
| CN116869564A (en) * | 2023-06-02 | 2023-10-13 | 广州索诺康医疗科技有限公司 | Medical ultrasonic detection imaging control system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116196034A (en) * | 2023-05-04 | 2023-06-02 | 北京易优联科技有限公司 | Ultrasonic imaging method and system |
| CN116196034B (en) * | 2023-05-04 | 2023-08-18 | 北京易优联科技有限公司 | Ultrasonic imaging method and system |
| CN116869564A (en) * | 2023-06-02 | 2023-10-13 | 广州索诺康医疗科技有限公司 | Medical ultrasonic detection imaging control system and method |
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