Ultrasonic measuring system using carotid artery and jugular vein ultrasonic measuring device

Abstract

An ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device is provided. The ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device includes an ultrasound measuring device that is worn on a user's head and measures the blood flow velocity of the carotid artery and jugular vein, a mobile application that receives blood flow measurement data transmitted from the ultrasound measuring device and displays it on the user's mobile device in real time, and a data analysis server that stores, processes, and analyzes data transmitted to the ultrasound measuring device or the mobile application.

Description

Technology Field

[0001] The present invention relates to an ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device, and more specifically, to an ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device that enables the continuous measurement of blood flow conditions of the carotid artery and jugular vein by an ultrasound method through a wearable structure worn on the head and neck of a user, and transmits the measured blood flow data to a mobile application and a data analysis server to analyze blood flow patterns based on artificial intelligence and detect early signs of risk of cerebrovascular disease. Background Technology

[0003] In general, cerebrovascular diseases such as stroke, cerebral ischemia, arterial stenosis, and cerebrovascular occlusion often involve changes in blood flow prior to onset, and early detection of these changes in blood flow is very important for the prevention and treatment of the disease.

[0004] The above blood flow condition is measured using an ultrasound Doppler device or medical ultrasound equipment, and this measurement is performed in a hospital environment by medical personnel directly contacting a specific location with an ultrasound probe.

[0005] However, conventional ultrasound measuring equipment is often configured in the form of large equipment, which limits mobility and makes it difficult for users to continuously monitor their blood flow status while performing daily activities.

[0006] In addition, since the transmission efficiency of ultrasonic signals decreases rapidly when an air layer is present, ultrasonic gel must be applied between the skin and the transducer; however, in the case of wearable devices worn for a long time, there is a problem in that the signal quality deteriorates as the gel dries out or moves.

[0007] Therefore, there is a need for a technology that can automatically supply gel to stably maintain the acoustic coupling state between the ultrasonic transducer and the skin while having a wearable structure that can be continuously worn by the user during daily life. Prior art literature

[0009] Republic of Korea Registered Patent Publication No. 10-2634090 The problem to be solved

[0010] The problem that the present invention aims to solve is to provide an ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device that can continuously measure the blood flow status of the carotid artery and jugular vein through a wearable structure that can be worn on the head and neck of a user.

[0011] In addition, the invention provides an ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device that automatically supplies ultrasound gel to stably maintain the acoustic coupling state between the ultrasound transducer and the skin.

[0012] Furthermore, the problems of the present invention are not limited to those mentioned above, and other unmentioned technical problems will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0014] An ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device according to one embodiment for solving the above problem includes an ultrasound measuring device that is worn on a user's head and measures the blood flow velocity of the carotid artery and jugular vein, a mobile application that receives blood flow measurement data transmitted from the ultrasound measuring device and displays it on the user's mobile device in real time, and a data analysis server that stores, processes, and analyzes data transmitted to the ultrasound measuring device or the mobile application.

[0015] The above ultrasonic measuring device may include a head mounting part comprising a frame having an elastic or variable structure and stably mounted on a user's head, and a main body housing disposed at each of both ends of the frame and in contact with the user's head, and a blood flow measuring part disposed in the head mounting part and measuring the blood flow velocity of the carotid artery and jugular vein of the user's head.

[0016] It may further include a gel supply unit that supplies gel to a blood flow measuring unit according to the control of the above-mentioned control unit.

[0017] The gel supply unit may include a gel storage tank for storing a gel to be applied to the user's skin, a micro pump in which the supply of gel stored in the gel storage tank is automatically controlled by a control signal from a control unit, and a supply tube that sprays the gel stored in the gel storage tank onto the user's skin in contact with a blood flow measuring unit by the operation of the micro pump.

[0018] The data analysis server may include a data collection module that receives blood flow measurement data transmitted from the ultrasound measuring device or mobile application in real time, a data storage module that stores the blood flow measurement data received by the data collection module, a signal preprocessing module that removes noise before analyzing the blood flow measurement data received from the ultrasound measuring device or mobile application, a blood flow analysis engine that performs an algorithm to analyze the physical characteristics of blood flow based on the blood flow measurement data preprocessed by the signal preprocessing module, an artificial intelligence learning module that generates a machine learning or deep learning-based learning model based on a large amount of blood flow measurement data accumulated in the data storage module, and a risk assessment module that evaluates the likelihood of a user developing cerebrovascular disease by determining the analysis results of the blood flow analysis engine and the artificial intelligence learning module.

[0019] It may further include a result providing module that transmits the results analyzed by the above-mentioned risk assessment module to a mobile application or a medical staff management system.

[0020] Specific details of other embodiments are included in the detailed description and drawings. Effects of the invention

[0022] According to an ultrasound measurement system using a carotid artery and jugular vein ultrasound measurement device according to one embodiment of the present invention, the user can continuously monitor the blood flow status of the carotid artery and jugular vein even while performing daily activities.

[0023] In addition, the automatic gel supply structure stably maintains the acoustic coupling state between the ultrasonic transducer and the skin, thereby ensuring signal quality is maintained even during prolonged measurements.

[0024] In addition, the measured blood flow data is linked with a mobile application and a data analysis server for analysis, which allows for the early detection of risk signs of cerebrovascular diseases such as stroke or vascular stenosis, thereby enhancing the effectiveness of treatment.

[0025] The effects according to the embodiments are not limited to those exemplified above, and a wider variety of effects are included in this specification. Brief explanation of the drawing

[0027] FIGS. 1 to 4 are flowcharts illustrating an ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device according to an embodiment of the present invention. FIG. 5 is a diagram showing an ultrasound measurement system using a carotid artery and jugular vein ultrasound measurement device according to one embodiment of the present invention. FIGS. 6 and 7 are drawings showing the usage state of an ultrasound measurement system using a carotid artery and jugular vein ultrasound measurement device according to one embodiment of the present invention. Specific details for implementing the invention

[0028] The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but may be implemented in various different forms. These embodiments are provided merely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims.

[0030] Specific embodiments will be described below with reference to the attached drawings.

[0031] FIGS. 1 to 4 are flowcharts showing an ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device according to an embodiment of the present invention, FIG. 5 is a diagram showing an ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device according to an embodiment of the present invention, and FIGS. 6 and 7 are diagrams showing the usage state of an ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device according to an embodiment of the present invention.

[0033] Referring to FIGS. 1 to 7, an ultrasound measurement system (10) using a carotid artery and jugular vein ultrasound measurement device according to one embodiment may include an ultrasound measurement device (100), a mobile application (200), and a data analysis server (300).

[0034] In some embodiments, the ultrasonic measuring device (100) is worn on the head of a user and can measure the blood flow velocity of the carotid artery and jugular vein. In some embodiments, the ultrasonic measuring device (100) may include a head mounting portion (110) and a blood flow measuring portion (120).

[0035] In some embodiments, the head mounting portion (110) may be worn on the user's head. In some embodiments, the head mounting portion (110) may include a frame (111) and a main body housing (112).

[0036] In some embodiments, the frame (111) has an elastic or variable structure and can be stably mounted on the user's head. For example, the frame (111) may be configured to include a shape memory alloy or an elastic metal wire to deform to fit the shape of the user's head and provide a constant restoring force. In some embodiments, the frame (111) may be formed in a 'C' shape, but is not limited thereto.

[0037] Additionally, in some embodiments, the frame (111) may further include a waterproof layer. In some embodiments, the waterproof layer may be formed on the outer surface of the frame (111) to block the penetration of sweat or external moisture. In some embodiments, the waterproof layer may be formed as a thermoplastic polyurethane (TPU) film, a polyurethane coating layer, or a silicone-based waterproof coating layer. In some embodiments, the waterproof layer may be formed as a single layer structure, but is not limited thereto; in some embodiments, the waterproof layer may be formed as a multilayer structure, and in some embodiments, a hydrophilic or water-repellent coating agent may be added to the waterproof layer to inhibit moisture diffusion.

[0038] Additionally, in some embodiments, the frame (111) may further include an antibacterial layer. In some embodiments, the antibacterial layer is formed on the frame (111) to provide antibacterial properties, thereby suppressing bacterial growth, odor generation, and skin irritation when the frame (111) is worn on a user's head. In some embodiments, the antibacterial layer may include silver (Ag) ions, zinc (Zn) compounds, copper (Cu)-based antibacterial particles, or a chitosan coating. In some embodiments, the antibacterial layer may contain an antibacterial active ingredient in a range of 0.1 to 5 parts by weight per 100 parts by weight of the total, and may be used hygienically by ensuring a bacterial growth inhibition rate of 90% or more.

[0039] In some embodiments, the main body housing (112) may be a housing positioned at each of the two ends of the frame (111) and in contact with the user's head. In some embodiments, a silicone cushion pad or a gel pad may be formed on the user contact surface of the main body housing (112), and such a cushion structure may improve the stability of the measurement signal by ensuring that the ultrasonic transducer adheres to the skin surface with uniform pressure. In some embodiments, the main body housing (112) may include a body and a cover.

[0040] In some embodiments, the body may be a body with one side open and positioned at each end of the frame (111), and in some embodiments, the cover may be a cover that closes the internal space of the body.

[0041] Additionally, in some embodiments, the head mounting portion (110) further includes a battery (113) and a gel supply portion (114), and the battery (113) and the gel supply portion (114) may be embedded in a space inside the body.

[0042] In some embodiments, the battery (113) can be charged by an external power source to operate the ultrasonic measuring device (100) under the control of the control unit.

[0043] In some embodiments, the gel supply unit (114) may supply gel to the blood flow measuring unit (120) under the control of the control unit. In some embodiments, the gel supply unit (114) may include a gel storage tank (114a), a micro pump (114b), and a supply tube (114c).

[0044] In some embodiments, the gel storage tank (114a) may be a tank that stores gel applied to the user's skin.

[0045] In some embodiments, the micro pump (114b) is operated by a control signal from the control unit to supply gel stored in the gel storage tank (114a), and the supply of gel can be automatically controlled based on a contact pressure sensor or an ultrasonic signal. For example, if the reception intensity of the ultrasonic signal decreases below a certain level, the control unit can control the micro pump (114b) to operate to supply additional gel.

[0046] In some embodiments, the supply tube (114c) is a tube connecting the gel storage tank (114a) and the blood flow measuring unit (120), and can guide the gel stored in the gel storage tank (114a) to be sprayed onto the user's skin in contact with the blood flow measuring unit (120) when necessary by the operation of the micro pump (114b). Here, the control unit can determine whether to automatically spray the gel and the amount sprayed based on various data collected from the sensor, and can control the determined whether to automatically spray the gel and the amount sprayed to be sprayed.

[0047] Additionally, in some embodiments, the control unit may further include a motion detection step for determining the usage status of the ultrasonic measuring device (100), a contact detection step for checking whether there is physical contact with the user, and a state detection step for checking the environment or internal state of the ultrasonic measuring device (100). For example, in the motion detection step, data collected from an acceleration sensor, a pressure sensor, or a tilt sensor may be analyzed to determine whether the user is moving or the device is operating; in the contact detection step, a skin contact sensor or a pressure sensor may be used to determine whether the ultrasonic measuring device (100) is actually in close contact with the user's skin; and in the state detection step, a temperature sensor, a pressure sensor, and a flow sensor may be used to detect the remaining amount of gel, temperature status, internal pressure, etc., of the gel stored in the gel storage tank (114a) of the gel supply unit (114). This information is used as reference data for determining gel injection conditions in the control unit, and by comparing and analyzing it with basic data presenting gel injection conditions, the decision to inject gel is made. If pressure above a certain level is detected and the ultrasonic measuring device (100) is in an operating state, it is determined that the gel injection conditions are satisfied, and the gel supply unit (114) can be activated. When the gel supply unit (114) is activated, the control unit can operate the micro pump (114b) to automatically inject the gel stored in the gel storage tank (114a) into the user's skin through the supply tube (114c). At this time, the amount of gel injected can be adjusted according to sensor data and preset injection criteria values, and the injection time can be adjusted or controlled in a multi-stage injection method as needed.

[0048] Additionally, in some embodiments, the control unit may further include a spray interval control step. In some embodiments, the spray interval control step may be a step for preventing repeated spraying of the gel. For example, after a certain amount of gel has been sprayed, the control unit may be controlled so that no additional spraying occurs until a preset waiting time has elapsed, thereby preventing excessive spraying of the gel. Additionally, the control unit may be configured to limit automatic spraying or provide a warning signal to the user when the remaining amount of gel stored in the gel storage tank (114a) decreases below a certain threshold.

[0049] In addition, in some embodiments, the control unit may include a learning function that adjusts dispensing conditions based on the user's usage patterns. For example, it may be configured to automatically set a more appropriate dispensing timing and amount during subsequent use by analyzing the user's wearing time, frequency of use, and dispensing request patterns. As a result, since the dispensing of the gel is automatically controlled according to the user's condition and the device's operating condition, it has the effect of improving user convenience, preventing unnecessary waste of gel, and enabling stable use of the device.

[0050] Additionally, in some embodiments, the control unit may include a microcontroller (MCU) or a digital signal processor (DSP), and can control the amplification and filtering of an analog signal received from a blood flow measuring unit (120) and subsequent conversion into a digital signal to calculate blood flow velocity and blood flow pattern and transmit them to a mobile application (200) or a data analysis server (300).

[0051] In addition, in some embodiments, the control unit may be connected to a communication module so as to transmit measured blood flow measurement data to an external device using Bluetooth, Wi-Fi, or other wireless communication methods.

[0052] In some embodiments, the blood flow measuring unit (120) is positioned on the head mounting unit (110) and can measure the blood flow velocity of the carotid artery and jugular vein of the user's head. In some embodiments, the blood flow measuring unit (120) may be arranged in a multi-array structure so as to stably measure blood flow even with changes in the position of the carotid artery and jugular vein. In some embodiments, the blood flow measuring unit (120) may include a first ultrasonic transducer (121), a second ultrasonic transducer (122), a third ultrasonic transducer (123), and an ultrasonic sensor (124).

[0053] In some embodiments, the first ultrasonic transducer (121) is mounted on the main body housing (112) and connected to the gel supply unit (114) so ​​as to be placed on the user's temporal region. In some embodiments, the first ultrasonic transducer (121) may be fixed to the main body housing (112), but is not limited thereto, and in some embodiments, the first ultrasonic transducer (121) may protrude or be recessed along a rib in the main body housing (112).

[0054] In some embodiments, the second ultrasonic transducer (122) may be connected to the gel supply unit (114) and placed on the user's neck. In some embodiments, the second ultrasonic transducer (122) may be connected to the third ultrasonic transducer (123) described below. In some embodiments, the third ultrasonic transducer (123) may be mounted on the frame (111), connected to the gel supply unit (114), and placed on the user's occipital region. That is, the arrangement structure of the ultrasonic transducers allows at least one ultrasonic transducer to be directed toward the blood vessel direction even if the blood vessel position changes slightly due to the user's neck rotation, tilting, or movement, thereby improving the stability of blood flow measurement.

[0055] In some embodiments, the ultrasonic sensor (124) is placed in each of the first ultrasonic transducer (121) to the third ultrasonic transducer (123) and can measure blood flow in the user's temporal region, neck region, or occipital region.

[0056] In some embodiments, the mobile application (200) can perform the function of receiving blood flow measurement data transmitted from the ultrasonic measuring device (100) and displaying it on the user's mobile device in real time. For example, the mobile application (200) can visualize and provide information such as a blood flow velocity change graph, a blood flow waveform, and an average blood flow velocity.

[0057] Additionally, in some embodiments, the mobile application (200) may transmit blood flow measurement data transmitted from the ultrasonic measuring device (100) to the data analysis server (300) via the Internet.

[0058] In some embodiments, the data analysis server (300) can store and process blood flow measurement data transmitted to the ultrasonic measuring device (100) or mobile application (200). For example, the data analysis server (300) can collect, store, analyze, and predict blood flow measurement data. In some embodiments, the data analysis server (300) may include a data collection module (310), a data storage module (320), a signal preprocessing module (330), a blood flow analysis engine (340), an artificial intelligence learning module (350), and a risk assessment module (360).

[0059] In some embodiments, the data collection module (310) may serve as an interface for receiving blood flow measurement data transmitted from an ultrasonic measuring device (100) or a mobile application (200) in real time. Here, the blood flow measurement data may be transmitted to a data analysis server (300) via a wireless communication network or an internet network, and the data collection module (310) may include ultrasonic Doppler signals, blood flow velocity values, blood flow waveform data, device status information, gel injection records, wearing time information, etc. In some embodiments, the data collection module (310) may include an API server or a message queue-based data collection structure to manage such data in conjunction with user identification information.

[0060] In some embodiments, the data storage module (320) may include a time-series database or a distributed data storage system to reliably store blood flow measurement data received by the data collection module (310) for a long period. For example, continuous biosignal data such as blood flow velocity may be stored in a time-series database, and user profile information or analysis result information may be stored in a relational database or a NoSQL database. Additionally, in some embodiments, the data storage module (320) may be implemented as a cloud-based distributed storage structure to efficiently manage large-scale user data.

[0061] In some embodiments, the signal preprocessing module (330) may perform functions for noise removal, signal correction, and normalization before analyzing blood flow measurement data received from the ultrasonic measuring device (100) or mobile application (200). Specifically, the signal preprocessing module (330) may apply a digital filtering algorithm to remove environmental noise included in the ultrasonic Doppler signal, motion artifacts caused by user movement, and electrical noise generated in electronic circuits. For example, a high-pass filter for removing low-frequency noise, a low-pass filter for removing high-frequency noise, and a band-pass filter for removing noise in a specific band may be applied, and adaptive filtering or wavelet-based signal processing techniques may be used as needed. Additionally, in some embodiments, the signal preprocessing module (330) may perform an automatic gain control function to correct signal strength that may fluctuate depending on the measurement environment or user state, and may perform a signal normalization process to facilitate data comparison between different users.

[0062] In some embodiments, the blood flow analysis engine (340) can perform the function of calculating and analyzing various blood flow-related parameters based on blood flow measurement data processed through the signal preprocessing module (330). Specifically, the blood flow analysis engine (340) can calculate blood flow velocity based on Doppler frequency shift and can analyze the direction of blood flow, average blood flow velocity, maximum blood flow velocity, and blood flow waveform pattern. In addition, the blood flow analysis engine (340) can calculate blood flow characteristic indicators such as the pulsatility index (PI) and resistive index (RI) using the measured blood flow waveform data, and these indicators can be used as important reference data to determine whether there is stenosis of the blood vessel or the state of blood flow resistance. Furthermore, the blood flow analysis engine (340) can analyze blood flow data measured over a certain period in a time series form to identify the trend of change in blood flow patterns and can also detect abnormal blood flow patterns occurring at specific times or under specific conditions.

[0063] In some embodiments, the artificial intelligence learning module (350) may perform the function of training a machine learning or deep learning model based on accumulated large amounts of blood flow measurement data. Specifically, the artificial intelligence learning module (350) may generate a model capable of distinguishing between normal blood flow patterns and abnormal blood flow patterns by utilizing user blood flow data collected in the past, medical diagnosis results, and clinical data as training data. Such an artificial intelligence model may be implemented, for example, as an Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Network, or Long Short-Term Memory-based model, and may detect risk signals related to cerebrovascular disease by analyzing the morphological features, periodicity, variability, and statistical characteristics of blood flow waveforms. Additionally, in some embodiments, the artificial intelligence learning module (350) may be configured to retrain the model or update its performance based on newly collected data, thereby continuously improving the accuracy of the analysis.

[0064] In some embodiments, the risk assessment module (360) may perform the function of assessing the likelihood of a user developing cerebrovascular disease based on the analysis results of the blood flow analysis engine (340) and the artificial intelligence learning module (350). Specifically, the risk assessment module (360) may assess the user's vascular condition by comprehensively analyzing changes in blood flow velocity, fluctuations in the pulsation index and resistance index, and abnormal patterns of the blood flow waveform, and may classify the risk level in stages based on preset thresholds or the prediction results of the artificial intelligence model. For example, the risk level may be classified into normal state, caution stage, warning stage, or high-risk stage so that the user or medical staff can easily understand it.

[0065] Additionally, in some embodiments, the data analysis server (300) may further include a result providing module (370). In some embodiments, the result providing module (370) may perform the function of transmitting the results analyzed by the risk assessment module (360) to a mobile application (200) or a medical staff management system. For example, a blood flow status graph, risk indicators, and health management recommendations may be visually displayed on the user's mobile device, and if a risk signal exceeding a certain level is detected, an alert message or warning signal may be provided to the user. Additionally, in a system linked with a medical institution, the user's blood flow data and analysis results may be transmitted to medical staff and utilized for remote monitoring or additional medical consultation.

[0067] Although embodiments of the present invention have been described above with reference to the attached drawings, those skilled in the art will understand that the present invention may be implemented in other specific forms without changing the technical concept or essential features thereof. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive. Explanation of the symbols

[0069] 10: Ultrasound measurement system using carotid artery and jugular vein ultrasound measuring device 100: Ultrasonic measuring device 110: Head mounting section 111: Frame 112: Main body housing 113: Battery 114: Gel supply unit 114a: Gel storage tank 114b: Micro pump 114c: Supply tube 120: Blood flow measuring unit 121: First ultrasonic transducer 122: Second ultrasonic transducer 123: Third ultrasonic transducer 124: Ultrasonic sensor 200: Mobile Applications 300: Data Analysis Server 310: Data Collection Module 320: Data storage module 330: Signal Preprocessing Module 340: Blood flow analysis engine 350: Artificial Intelligence Learning Module 360: Risk Assessment Module 370: Result Provision Module

Claims

Claim 1 The apparatus comprises: an ultrasonic measuring device worn on a user's head and measuring the blood flow velocity of the carotid artery and jugular vein; a mobile application that receives blood flow measurement data transmitted from the ultrasonic measuring device and displays it in real time on the user's mobile device; and a data analysis server that stores, processes, and analyzes data transmitted to the ultrasonic measuring device or the mobile application. The ultrasonic measuring device comprises: a head mounting unit having an elastic or variable structure and including a frame that is stably mounted on the user's head and a main body housing disposed at each of both ends of the frame and in contact with the user's head; a blood flow measuring unit disposed on the head mounting unit and measuring the blood flow velocity of the carotid artery and jugular vein of the user's head; and a gel supply unit that supplies gel to the blood flow measuring unit according to the control of a control unit. The gel supply unit comprises: a gel storage tank that stores gel to be applied to the user's skin; and a micro pump in which the supply of gel stored in the gel storage tank is automatically controlled by a control signal from the control unit. An ultrasound measurement system using a carotid artery and jugular vein ultrasound measuring device comprising a supply tube that sprays gel stored in a gel storage tank by the operation of the micro pump above onto the skin of a user in contact with a blood flow measuring part. Claim 2 delete Claim 3 delete Claim 4 delete Claim 5 An ultrasound measurement system using a carotid artery and jugular vein ultrasound measurement device, wherein the data analysis server comprises: a data collection module that receives blood flow measurement data transmitted from the ultrasound measurement device or mobile application in real time; a data storage module that stores blood flow measurement data received by the data collection module; a signal preprocessing module that removes noise before analyzing blood flow measurement data received from the ultrasound measurement device or mobile application; a blood flow analysis engine that performs an algorithm for analyzing the physical characteristics of blood flow based on the blood flow measurement data preprocessed by the signal preprocessing module; an artificial intelligence learning module that generates a machine learning or deep learning-based learning model based on a large amount of blood flow measurement data accumulated in the data storage module; and a risk assessment module that evaluates the likelihood of a user developing cerebrovascular disease by determining the analysis results of the blood flow analysis engine and the artificial intelligence learning module. Claim 6 An ultrasound measurement system using a carotid artery and jugular vein ultrasound measurement device, wherein, in claim 5, the result providing module further comprises a result that transmits the result analyzed by the risk assessment module to a mobile application or a medical staff management system.

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