KR102219692B1 - System and method of monitoring hypopnea - Google Patents

Abstract

The present invention relates to an apparatus and method for providing a treatment plan by measuring the severity of sleep apnea and the cause thereof. According to an embodiment of the present invention, a hypopnea monitoring system includes a current or voltage through a plurality of electrodes attached to a subject. An EIT data processing unit that measures one to generate image data on the chest of the subject, a breathing parameter calculation unit that calculates the breathing parameter of the subject by analyzing the image change of the chest based on the generated image data, and the calculated The display is controlled to display at least one of a hypoventilation determination unit that compares a breathing parameter and a hyporespiration reference value to determine a hypopnea state, and at least one of the generated image data, the calculated breathing parameter, or alarm information for the determined hypopnea state. It may include a display control unit.

Description

Hyporespiration monitoring system and method {SYSTEM AND METHOD OF MONITORING HYPOPNEA}

The present invention relates to a technical idea of monitoring low breathing by using an electrical impedance tomography (EIT) technology, and is used to reduce tidal volume and minute ventilation by using EIT images. It relates to a system and method for monitoring low breathing accurately for monitoring respiratory matters.

In general, in postoperative patients, respiratory depression may occur due to the influence of residual anesthetics, and in severe cases, respiratory arrest may occur, leading to an emergency situation that is difficult to sustain life.

Pain relievers such as opioids, which are widely used for pain relief, cause respiratory depression and in severe cases lead to respiratory arrest, which can lead to an emergency that is difficult to sustain life.

In the treatment of various procedures such as sleep endoscopy, plastic surgery, dental procedures, etc., anesthetics such as propofol can cause respiratory depression and in severe cases lead to respiratory arrest, which can lead to an emergency that makes life difficult have.

In patients with obesity-induced hypoventilation syndrome (OHS), hypoventilation may gradually or radically worsen, resulting in a life-sustaining emergency.

It is a symptom separate from obstructive sleep apnea (OSA) or central sleep apnea (CSA), and is also accompanied by OSA or CSA.

In patients with neuromuscular disease, respiratory depression may occur, and in severe cases, respiratory arrest may result, resulting in a life-threatening emergency.

Respiratory depression occurs in patients with chronic obstructive pulmonary disease (COPD), and in severe cases, it can lead to respiratory arrest, resulting in an emergency that makes life difficult.

Therefore, it is necessary to continuously monitor hypoventilation in such patients.

Currently used methods include a spirometer, end-tidal CO2 (ETCO2) capnography, blood oxygen saturation (SpO2) meter, and impedance pneumography.

However, a spirometer, which requires wearing a mask or cannula on the mouth or nose, cannot be used for continuous monitoring of hyporespiration because continuous measurement is very difficult.

On the other hand, in order to measure ETCO2, a mask or tube must be worn on the mouth or nose, so continuous measurement is inconvenient and rapid detection of low breathing is difficult.

In addition, the SpO2 measurement method, which attaches sensors to fingers, toes, and ears, can continuously measure, but it is difficult to quickly detect low breath.

In addition, impedance pneumography, in which electrodes are attached to the chest to measure the change in the electrical impedance of the chest due to breathing as a signal, is mainly used to measure the respiratory rate. Detection is impossible.

Finally, a method of measuring tidal volume and minute ventilation using impedance pneumography is used, but it is vulnerable to motion artifacts and accurate measurement is difficult.

Accordingly, there is a need to propose a method and system for continuously and accurately monitoring hyporespiration.

Korean Patent Registration No. 10-1650891, "Magnetic Resonance Imaging System and Conductivity Distribution Image Generation Method Using Magnetic Resonance Electrical Impedance Imaging Technology" Korean Patent Registration No. 10-1695223, "Snoring and sleep apnea detection and treatment system" US Patent Publication US 2017/0325695, "ADVANCED RESPIRATORY MONITOR AND SYSTEM" US Patent Publication US 2016/0184518, "RESPIRATORY PARAMETER GUIDED AUTOMATED IV ADMINISTRATION AND IV TUBE CLAMP ACTIVATION" Korean Patent Registration No. 10-1765423, "Lung function test apparatus and method"

The present invention aims to continuously monitor hyporespiration by processing and interpreting EIT images of a cross section of the chest including the lungs and biological signals such as oxygen saturation, end-expiratory carbon dioxide partial pressure, pulse wave, electrocardiogram, blood pressure, and body temperature. have.

The present invention uses an EIT image that provides information on air distribution and volume change in the lungs, so it may be an object of the present invention to improve measurement accuracy of tidal volume and minute ventilation.

An object of the present invention may be to display the homogeneity of the air distribution inside the lungs along with the tidal volume, the respiratory air flow per minute, and the respiration rate based on the EIT image.

In addition to the EIT system for imaging and quantifying hypoventilation, the present invention may aim to measure biological signals such as oxygen saturation, end-expiratory carbon dioxide, pulse wave, electrocardiogram, blood pressure, and body temperature together.

The present invention can be aimed at attaching a plurality of electrodes at once by installing a sticky stick on one side of a plate or attaching a plurality of electrodes separately one by one.

An object of the present invention may be to extract information about asymmetric ventilation of both lungs and non-homogeneous ventilation of each lung from an EIT image, convert it into an index, and output it.

According to an embodiment of the present invention, the low respiration monitoring system includes an EIT data processing unit configured to generate image data on the chest of the subject by measuring one of current or voltage through a plurality of electrodes attached to the subject, and the generated image data. A breathing parameter calculation unit that calculates the breathing parameter of the subject by analyzing the image change of the chest based on, a hyporespiration determination unit that determines a low breathing state by comparing the calculated breathing parameter and a low breathing reference value, and the generated image It may include a display control unit for controlling the display to display at least one of the data, the calculated breathing parameter, or alarm information for the determined low breathing state.

According to an embodiment of the present invention, the plurality of electrodes are located at regular intervals inside the elastic belt, and the EIT data for the measured current or voltage is transferred to the EIT data processing unit through a cable of a sensor box connected to the elastic belt. I can deliver.

According to an embodiment of the present invention, the elastic belt has an annular shape surrounding the chest of the subject, and different ends of the elastic belt are detachably attached to the sensor box, and when attached, maintain the annular shape. A plurality of electrodes may be electrically connected to the sensor box.

According to an embodiment of the present invention, the plurality of electrodes are included in a plurality of stickers in a preset number, and the EIT data is transmitted to the sensor box through an independent connection line for each of the plurality of stickers, or each is attached to the subject. , The EIT data may be transmitted to the sensor box through independent connection lines for each of the plurality of electrodes.

According to an embodiment of the present invention, the EIT data processing unit may detect a state of air distribution in the lungs, including symmetry of the ventilation degree of both lungs and homogeneity of the ventilation state of each lung from the image data.

According to an embodiment of the present invention, the respiration parameter calculation unit may calculate the respiration parameter including tidal volume, minute ventilation, or respiratory rate by analyzing the image change. .

According to an embodiment of the present invention, the display control unit may control the display to display oxygen saturation, tidal volume, minute ventilation, or respiratory rate as numbers and signal graphs. .

According to an embodiment of the present invention, the display control unit controls the display to display the biosignal parameters including at least one of oxygen saturation, end expiratory carbon dioxide partial pressure, pulse wave, electrocardiogram, blood pressure, and body temperature as numbers and signal graphs. can do.

According to an embodiment of the present invention, the hypoventilation monitoring system transmits the calculated respiratory parameter to at least one of the ventilator, the anesthetic device, or the drug injector to change the operation of at least one of a ventilator, an anesthetic device, or a drug injector. It may further include a communication unit.

According to an embodiment of the present invention, the low breathing monitoring system further comprises a biosignal parameter calculation unit configured to calculate a biosignal parameter by measuring a biosignal through a sensor attached to the subject, and the low breathing determining unit The low breathing state is determined by comparing the signal parameter with the low breathing reference value, and the display controller may control the display to display the calculated biosignal parameter.

According to an embodiment of the present invention, the biosignal parameter may include numerical data on at least one or more of oxygen saturation, end-expiratory carbon dioxide partial pressure, pulse wave, electrocardiogram, blood pressure, and body temperature.

According to an embodiment of the present invention, the display control unit may control the display to display the image data including at least one of a real-time breathing image, a normal breathing range, a low breathing area, an apnea area, and the alarm information. have.

According to an embodiment of the present invention, a method for monitoring low breathing includes generating image data for the chest of the subject by measuring one of current or voltage through a plurality of electrodes attached to the subject in the EIT data processing unit. In the calculation unit, the step of calculating the breathing parameter of the subject by analyzing the image change of the chest based on the generated image data, the hypopnea determination unit, by comparing the calculated breathing parameter and the low breathing reference value And controlling the display to display at least one of the generated image data, the calculated respiration parameter, and alarm information for the determined hyporespiratory condition, in the display controller.

According to an embodiment of the present invention, the method for monitoring low breathing further comprises the step of calculating a biosignal parameter by measuring a biosignal through a sensor attached to the subject in a biosignal parameter calculation unit, and The determining step includes comparing the calculated biosignal parameter and the hyporespiration reference value to determine the hypoventilation state, and controlling the display includes the display to display the calculated biosignal parameter It may include the step of controlling.

The present invention can continuously monitor hyporespiration by processing and analyzing EIT images of the chest section including the lungs, oxygen saturation, end-expiratory carbon dioxide partial pressure, pulse waves, electrocardiogram, blood pressure, body temperature, and other biological signals.

Since the present invention uses an EIT image that provides information on air distribution and volume change in the lungs, it is possible to improve the measurement accuracy of tidal volume and minute ventilation.

The present invention can display the homogeneity of the air distribution inside the lungs along with the tidal volume, the respiratory air flow per minute, and the respiration rate based on the EIT image.

The present invention can measure bio-signals such as oxygen saturation, pulse waves, electrocardiogram, and blood pressure together with an EIT system for imaging and quantifying hypoventilation.

In the present invention, by installing a sticky stick on one side of the plate, several electrodes can be attached at once or a plurality of electrodes can be attached separately.

In the present invention, information on asymmetric ventilation of both lungs and non-homogeneous ventilation of each lung can be extracted from the EIT image, converted into an index, and output.

1 is a diagram illustrating a wearing environment of a low breathing monitoring system according to an embodiment of the present invention.
2 is a view for explaining the components of a low breathing monitoring system according to an embodiment of the present invention.
3A to 3C are views for explaining a low breath monitoring system using an integrated electrode belt according to an embodiment of the present invention.
4A to 4E are diagrams illustrating a system for monitoring low breathing using a sticky electrode according to an embodiment of the present invention.
5 is a diagram for explaining a display of a low breathing monitoring system according to an embodiment of the present invention.
6 is a diagram illustrating a flow chart related to a method for monitoring low breathing according to an embodiment of the present invention.

Hereinafter, various embodiments of the present document will be described with reference to the accompanying drawings.

The embodiments and terms used therein are not intended to limit the technology described in this document to a specific embodiment, and should be understood to include various changes, equivalents, and/or substitutes for the embodiment.

In the following description of various embodiments, when it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the invention, a detailed description thereof will be omitted.

In addition, terms to be described later are terms defined in consideration of functions in various embodiments and may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout this specification.

In connection with the description of the drawings, similar reference numerals may be used for similar elements.

Singular expressions may include plural expressions unless the context clearly indicates otherwise.

In this document, expressions such as "A or B" or "at least one of A and/or B" may include all possible combinations of items listed together.

Expressions such as "first," "second," "first," or "second," can modify the corresponding elements regardless of their order or importance, and to distinguish one element from another It is used only and does not limit the components.

When it is stated that a certain (eg, first) component is “(functionally or communicatively) connected” or “connected” to another (eg, second) component, the certain component is It may be directly connected to the component, or may be connected through another component (eg, a third component).

In the present specification, "configured to (configured to)" is changed according to the situation, for example, hardware or software, "suitable for," "having the ability to," "... ," "made to," "can do," or "designed to" can be used interchangeably.

In some situations, the expression "a device configured to" may mean that the device "can" along with other devices or parts.

For example, the phrase “a processor configured (or configured) to perform A, B, and C” means a dedicated processor (eg, an embedded processor) for performing the operation, or by executing one or more software programs stored in a memory device. , May mean a general-purpose processor (eg, CPU or application processor) capable of performing corresponding operations.

In addition, the term'or' means an inclusive OR'inclusive or' rather than an exclusive OR'exclusive or'.

That is, unless otherwise stated or clear from the context, the expression'x uses a or b'means any one of natural inclusive permutations.

Terms such as'.. unit' and'.. group' used hereinafter refer to a unit that processes at least one function or operation, which may be implemented by hardware or software, or a combination of hardware and software.

1 is a diagram illustrating a wearing environment of a low breathing monitoring system according to an embodiment of the present invention.

Referring to FIG. 1, the hyporespiratory monitoring system may continuously monitor hyporespiration using electrical impedance tomography (EIT).

According to an embodiment of the present invention, the low breathing monitoring system includes a sensor unit including an annular electrode belt 100, a sensor box 110, and a biometric sensor 120 worn on a subject and a low breath monitoring unit 140 It may include.

As an example, the sensor box 110 may receive EIT data for a subject by combining different ends of the electrode belt 100. For example, the EIT data may include impedance data for current and voltage measured through an electrode attached to a subject.

As an example, the low respiration monitoring system may monitor image data on the chest of a subject using the electrode belt 100, and oxygen saturation, end-expiratory carbon dioxide partial pressure, pulse wave, electrocardiogram, blood pressure using the biometric sensor 120 , Body temperature, etc. can be monitored.

In addition, the low respiration monitoring system may transmit the health data of the subject collected using the electrode belt 100 and the biometric sensor 120 to the low respiration monitoring unit 140 using a cable. For example, the electrode belt 100 may also be referred to as an elastic belt.

In addition, the low breathing monitoring unit 140 may process the transmitted data and control the display to output a monitoring result for the hypopnea state of the subject.

Accordingly, the present invention can continuously monitor hyporespiration by processing and interpreting EIT images of a cross section of the chest including the lungs and biological signals such as oxygen saturation, pulse waves, electrocardiogram, and blood pressure.

2 is a view for explaining the components of a low breathing monitoring system according to an embodiment of the present invention.

Referring to FIG. 2, according to an embodiment of the present invention, a low breathing monitoring system may include a sensor unit 210 and a low breathing monitoring unit 220. For example, the low breath monitoring unit 220 may also be referred to as a main body.

According to an embodiment of the present invention, the low respiration monitoring unit 220 includes a biosignal parameter calculation unit 221, an EIT data processing unit 222, a respiration parameter calculation unit 223, a low breath determination unit 224, and a display control unit. (225) may be included.

For example, the biosignal parameter calculation unit 221 may calculate a biosignal parameter by measuring a biosignal through a sensor attached to the subject.

According to an embodiment of the present invention, the biosignal parameter calculation unit 221 includes oxygen saturation, end tidal CO2, pulse wave, electrocardiogram, body temperature, or A biosignal parameter including at least one or more of blood pressure may be calculated.

For example, the biosignal parameter may include numerical data on at least one or more of oxygen saturation, end-tidal carbon dioxide partial pressure, pulse wave, electrocardiogram, body temperature, and blood pressure.

According to an embodiment of the present invention, the EIT data processing unit 222 may generate image data on the chest of the subject by measuring one of current or voltage through a plurality of electrodes attached to the subject.

For example, the EIT data processing unit 222 may detect a state of air distribution inside the lungs, including symmetry of the degree of ventilation of both lungs and homogeneity of the ventilation state of each lung from the image data.

According to an embodiment of the present invention, the EIT data processing unit 222 may quantify the distribution and volume of air inside the lung by imaging EIT data acquired through an electrode attached to the chest.

That is, the EIT data processing unit 222 may generate image data related to the air distribution and volume of the lungs located inside the chest based on a voltage or current measured through an electrode attached to the chest.

According to an embodiment of the present invention, the EIT data processing unit 222 may repeat such a measurement while injecting a current or voltage between a plurality of electrodes.

For example, the EIT data processing unit 222 may restore a change in electrical conductivity of the chest cross section into an image using measured voltage data induced by a plurality of injection currents.

According to an embodiment of the present invention, the EIT data processor 222 may generate 10 or more EIT images based on any one of a current or voltage measured through an electrode.

According to an embodiment of the present invention, the respiration parameter calculation unit 223 may calculate a respiration parameter of the subject by analyzing the image change of the chest based on the generated image data.

That is, the respiration parameter calculation unit 223 may calculate a change in the image of the chest as a respiration parameter from image data generated based on EIT data measured through a plurality of electrodes located on an annular elastic belt.

Accordingly, since the present invention uses an EIT image that provides information on air distribution and volume change in the lungs, it is possible to improve the measurement accuracy of tidal volume and minute ventilation.

For example, the respiration parameter calculation unit 223 may analyze a change in the image to calculate a respiration parameter including tidal volume, minute ventilation, or respiratory rate.

According to an embodiment of the present invention, the respiration parameter calculation unit 223 may calculate a respiration parameter based on a change in an image of a lung in an image.

As an example, the respiration parameter calculation unit 223 determines the degree of circulatory function of the subject based on changes in the image of the lungs, and calculates the tidal volume, respiratory air flow per minute, and respiration rate of the subject based on the inhalation and exhalation of the lungs as a result of the determination I can.

According to an embodiment of the present invention, the low breathing determination unit 224 may determine a low breathing state by comparing any one of a biosignal parameter or a breathing parameter with a low breathing reference value.

As an example, the low breathing determination unit 224 may determine the low breathing state when any one of the biosignal parameter or the breathing parameter is lower than the low breathing reference value.

For example, the low respiration determination unit 224 may determine a normal state when any one of the biosignal parameter or the respiration parameter is higher than or equal to the low respiration reference value.

For example, the hyporespiration reference value may be calculated based on a change in the area of the lung area of the chest based on the image data.

For example, the hypoventilation reference value may include numerical data corresponding to the area size of the lung area determined to be hypoventilation.

According to an embodiment of the present invention, the display control unit 225 may control the display to display at least one of image data, a biosignal parameter, a breathing parameter, or alarm information for a low breathing state.

For example, when displaying the inside of the chest based on the image data, the display controller 225 may provide alarm information by controlling the display to reverse the color or display state of the screen.

For example, the alarm information may be output using sound or a color change of a screen.

As an example, the display controller 225 may control the display to display oxygen saturation, tidal volume, minute ventilation, or respiratory rate as numbers and signal graphs.

According to an embodiment of the present invention, the display control unit 225 controls the display to display biosignal parameters including at least one or more of oxygen saturation, end-expiratory carbon dioxide partial pressure, pulse wave, electrocardiogram, body temperature, and blood pressure as numbers and signal graphs. can do.

Accordingly, the present invention can measure bio-signals such as oxygen saturation, end-expiratory carbon dioxide partial pressure, pulse wave, electrocardiogram, body temperature, or blood pressure together with an EIT system for imaging and quantifying low breathing.

As an example, the display controller 225 may control the display to display image data including at least one of a real-time breathing image, a normal breathing range, a low breathing area, an apnea area, and alarm information.

According to another embodiment of the present invention, the low respiration monitoring unit 220 may further include a communication unit 226.

According to an embodiment of the present invention, the communication unit 226 may transmit the calculated respiratory parameter to at least one of a ventilator, an anesthetic device, or a drug injector to change the operation of at least one of a ventilator, an anesthetic device, or a drug injector.

The communication unit 226 may perform a function of converting between a baseband signal and a bit string according to the physical layer standard of the system.

For example, the communication unit 226 may generate complex symbols by encoding and modulating a transmission bit stream during data transmission.

In addition, the communication unit 226 may restore a received bit stream through demodulation and decoding of a baseband signal when receiving data.

In addition, the communication unit 226 may up-convert the baseband signal to a radio frequency (RF) band signal and then transmit it through an antenna, and down-convert the RF band signal received through the antenna into a baseband signal.

Also, the communication unit 226 may include a transmission filter, a reception filter, an amplifier, a mixer, an oscillator, a digital to analog convertor (DAC), an analog to digital convertor (ADC), and the like.

In addition, the communication unit 226 may include different communication modules to process signals of different frequency bands.

According to another embodiment of the present invention, the low respiration monitoring system may further include a sensor unit 210.

For example, the sensor unit 210 may include an electrode 211 and a biosignal sensor 212.

According to an embodiment of the present invention, the electrodes 211 are positioned at regular intervals within the elastic belt, and transmit EIT data for current or voltage to the low breath monitoring unit 220 through a cable of a sensor box connected to the elastic belt. I can.

For example, the electrodes 211 are included in a plurality of stickers in a preset number, and the EIT data is transmitted to the sensor box through an independent connection line for each of the plurality of stickers, or each of the electrodes 211 is attached to the subject, so that an independent connection line for each of the plurality of electrodes EIT data can be delivered to the sensor box through this.

That is, as each of the plurality of electrodes is connected to the sensor box through an independent connection line, each of the plurality of electrodes may be connected to the sensor box in parallel.

Accordingly, in the present invention, a connection line for an electrode for collecting error data among a plurality of electrodes may be blocked, and either current or voltage may be measured through the remaining electrodes that are not blocked.

According to an embodiment of the present invention, the electrode 211 may be configured in a plurality of numbers.

According to an embodiment of the present invention, the biosignal sensor 212 may measure at least one of a subject's oxygen saturation, pulse wave, electrocardiogram, and blood pressure.

For example, the biosignal sensor 212 may be worn on the subject's finger or included in an electrode belt.

In addition, the low breathing monitoring system according to an embodiment of the present invention further includes an alarm unit (not shown), and the alarm unit (not shown) sets a normal range of each of the measurement information in advance, and the measurement information sets the normal range. When it is out, an alarm can be triggered by means of screen, sound, or communication.

In addition, the hypoventilation monitoring system can store and transmit all measured images, signals, numerical information, and alarm occurrence time and alarm contents as digital data.

According to an embodiment of the present invention, the sensor box may provide EIT data to the low breathing monitoring unit 220 connected by a cable.

According to an embodiment of the present invention, the sensor box provides EIT data in real time, provides EIT data based on a preset period, or provides EIT data when the value of the EIT data is measured above a specific reference value. I can. Here, the specific reference value may correspond to the hypopnea reference value.

3A to 3C are views for explaining a low breath monitoring system using an integrated electrode belt according to an embodiment of the present invention.

Referring to FIG. 3A, both ends of the electrode belt 300 are coupled to the sensor box 310, and the electrode belt 300 may have an annular shape.

In addition, the sensor box 310 may be connected to the low breathing monitoring unit 330 through a cable 320. For example, the low respiration monitoring unit 330 may also be referred to as a low respiration monitoring device.

For example, the plurality of electrodes may be located inside the electrode belt 300.

The low respiration monitoring unit 330 may display the health status of the subject by controlling the display.

Referring to FIG. 3B, both ends of the electrode belt 340 according to an embodiment of the present invention may be coupled to the sensor box 350. The electrode belt 340 may have an annular shape by covering the circumference of the subject's chest.

As an example, both ends of the electrode belt 340 may be simultaneously separated from the sensor box 350 by the pressure on the button 360, or either end may be separated.

Referring to FIG. 3C, the electrode belt 370 according to an embodiment of the present invention is worn along a circumference of a specific part of the subject, and collects EIT data related to the subject from electrodes located therein, and the collected EIT Data can be transferred to the sensor box 380.

4A to 4E are diagrams illustrating a system for monitoring low breathing using a sticky electrode according to an embodiment of the present invention.

Referring to FIG. 4A, the low breathing monitoring system according to an embodiment of the present invention may measure EIT data using a plurality of stickers 410, 411, 412, and 413.

According to an embodiment of the present invention, electrodes are included in a plurality of stickers in a preset number, and the EIT data may be transmitted to the sensor box 400 through independent connection lines for each of the plurality of stickers.

Looking at one of the plurality of stickers 410 and 411, 412 and 413, the sticker 410 includes four electrodes. Four electrodes form an electrode pair, two electrodes apply current or voltage, and the other two electrodes measure current or voltage.

The sensor box 400 of the present invention may receive EIT data of a subject through an independent connection line for each of the plurality of stickers 410, 411, 412, and 413.

Referring to FIG. 4B, the low respiration monitoring system according to an embodiment of the present invention may measure EIT data using a plurality of electrode patches 430, 431, 432, and 433. Here, the reference numbers for the plurality of electrode patches are only partially written, but the plurality of electrode patches connected to the sensor box 420 may be operated as described below.

For example, each of the plurality of electrode patches 430, 431, 432, and 433 may be attached to the subject, and EIT data may be transmitted to the sensor box 420 through an independent connection line for each of the plurality of electrodes.

In the present invention, even when the subject is obese or has a lot of hair on the chest, a plurality of electrodes can be separately attached, so that EIT data of the subject can be efficiently measured.

In addition, in the present invention, a sticky stick is installed on one side of the plate to attach a plurality of electrodes at once or a plurality of electrodes may be separately attached.

Referring to FIG. 4C, the electrode belt 440 according to an embodiment of the present invention is attached to and worn on a specific part of the subject, and collects EIT data related to the subject from electrodes located therein, and the collected EIT Data can be transferred to the sensor box 440.

Referring to FIG. 4D, the sensor box according to an embodiment of the present invention may include a plurality of holes 460 into which each of a plurality of connection lines may be inserted.

In addition, when pressure to the button 461 is input on the sensor box, each of the connection lines inserted through the plurality of holes 460 may be separated from the sensor box.

In addition, the cable 462 connected to the sensor box may transmit the EIT data collected through the plurality of electrode patches to the low respiration monitoring unit.

Referring to FIG. 4E, the electrode 471 included in the sticker 470 may collect EIT data and transmit the collected EIT data to the low breathing monitoring unit through the connection line 472. For example, the EIT data may include impedance data based on a measured current or voltage.

5 is a diagram for explaining a display of a low breathing monitoring system according to an embodiment of the present invention.

Referring to FIG. 5, the low breathing monitoring unit 500 may control the display 510 to output an image 511, a numerical value 512, and a graph 513 on the display 510.

According to an embodiment of the present invention, the low respiration monitoring unit 500 may display the inhalation and exhalation of the lung area of the subject through the image 511.

For example, the low breathing monitoring unit 500 may control the display to output any one of a real-time breathing image, a breathing normal range, a low breathing area, an apnea area, or an alarm through the image 511.

Accordingly, the present invention can display the homogeneity of the air distribution inside the lungs along with the tidal volume, the respiratory air flow per minute, and the respiration rate based on the EIT image.

According to an embodiment of the present invention, the low respiration monitoring unit 500 includes oxygen saturation (SpO2), end-expiratory carbon dioxide partial pressure (ETCO2), heart rate (HR), tidal volume, and The display can be controlled to output TV), inspiratory time ratio (ITR), minute ventilation (MV), and respiration rate (RR).

That is, the low respiration monitoring unit 500 may control the display to output various indicators representing the health status of the subject using numbers.

In addition, the low respiration monitoring unit 500 may extract information on asymmetric ventilation of both lungs and non-homogeneous ventilation of each lung from the EIT image, convert it into an index, and output it.

According to an embodiment of the present invention, the low respiration monitoring unit 500 includes photoplethysmography (PPG), electrocardiography (ECG), nasal pressure, and tidal volume through the graph 513. TV), you can control the display.

Accordingly, the present invention can extract information on asymmetric ventilation of both lungs and non-homogeneous ventilation of each lung from the EIT image, and display it as an index.

6 is a diagram illustrating a flow chart related to a method for monitoring low breathing according to an embodiment of the present invention.

Referring to FIG. 6, in step 601, the method of monitoring low breathing may generate image data.

That is, the low breath monitoring method may generate image data on the chest of the subject by measuring one of current or voltage through a plurality of electrodes attached to the subject.

In step 602, the method of monitoring low breathing may calculate a breathing parameter.

That is, the low breathing monitoring method may calculate the breathing parameters of the subject by analyzing the image change of the chest based on the generated image data.

In step 603, the hypoventilation monitoring method may determine a hypoventilation state.

That is, the hypoventilation monitoring method may determine a hypoventilation state by comparing a respiratory parameter and a hyporespiration reference value. Here, the low breathing reference value may include numerical information for determining the low breathing.

According to another embodiment, the hyporespiration monitoring method may determine a hyporespiratory state by comparing a biosignal parameter and a hyporespiration reference value.

In step 604, the method of monitoring low breathing may control the display to display the subject's information.

That is, the method of monitoring low breathing may control the display to display at least one of image data, a breathing parameter, or alarm information for a hypoventilating state.

According to another embodiment, the method for monitoring low breathing may control a display to display a biosignal parameter.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination.

The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like.

Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

As described above, although the embodiments have been described by the limited embodiments and drawings, various modifications and variations are possible from the above description by those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the claims to be described later.

210: sensor unit 211: electrode
212: biosignal sensor 220: low breathing monitoring unit
221: biosignal parameter calculation unit 222: EIT data processing unit
223: respiration parameter calculation unit 224: hyporespiration determination unit
225: display control unit 226: communication unit

Claims (12)

A sensor box that measures and outputs EIT data from the chest of the subject in real time; And
Including; a low-breathing monitoring unit receiving EIT data from the sensor box, monitoring the hypopnea state of the subject using the received EIT data, and displaying a monitoring result for the hypo-breathing state; and
The hypoventilation monitoring unit,
An EIT data processing unit configured to detect information on a respiratory state in the lungs including air distribution, volume change, or a combination thereof from the EIT data;
A breathing parameter calculation unit that analyzes the detected respiratory state information and calculates a breathing parameter including tidal volume, minute ventilation, or respiratory rate;
A hyporespiration determination unit for determining a hyporespiration state by comparing the calculated respiration parameter with a corresponding hyporespiration reference value; And
And a display control unit for controlling a display to display the calculated respiratory parameter or a monitoring result for the hypoventilation state. The method according to claim 1,
The EIT data processing unit,
Hyporespiration monitoring system, characterized in that to detect the respiratory state information inside the lung from the change in electrical conductivity of the chest cross section from EIT data obtained by measuring one of current or voltage through a plurality of electrodes attached to the subject. The method according to claim 2,
The hypoventilation determining unit,
For each of the calculated breathing parameters, a reference value for low breathing calculated based on a change in the electrical conductivity of the lung area of the chest section or numerical data corresponding to the size of the electrical conductivity of the lung area determined as hypopnea. Hyporespiration monitoring system, characterized in that by comparing the displayed hyporespiration reference value to determine the hypoventilation state. The method according to claim 1,
The hypoventilation monitoring unit,
An alarm unit that sets in advance a normal range for determining a low breathing state of each of the calculated breathing parameters, and generates alarm information through at least one of a screen, a sound, or communication when the calculated breathing parameter is out of the normal range; It further includes,
The display control unit,
And controlling the display to display at least one of the determined alarm information for the hypoventilation state. The method according to claim 1,
The display control unit,
And controlling the display to display the tidal volume, minute ventilation, or respiratory rate as a graph of numbers and signals. The method according to claim 1,
A system for monitoring low breathing, further comprising: a communication unit for transmitting the calculated breathing parameters to at least one of the ventilator, anesthesia device, or drug injector to change the operation of at least one of a ventilator, an anesthetic device, or a drug injector. . The method according to claim 1,
A biosignal parameter calculation unit configured to calculate a biosignal parameter by measuring a biosignal through a sensor attached to the subject; further comprising,
The low breathing determining unit determines the low breathing state by comparing the calculated biosignal parameter with the low breathing reference value,
The display control unit includes controlling the display to display the calculated biosignal parameter,
The biological signal parameter includes numerical data on at least one of oxygen saturation, end-expiratory carbon dioxide partial pressure, pulse wave, electrocardiogram, body temperature, and blood pressure. The method of claim 7,
The display control unit,
Controlling the display to display a biosignal parameter including at least one or more of the oxygen saturation degree, end-tidal carbon dioxide partial pressure, pulse wave, electrocardiogram, body temperature, and blood pressure as a number and a signal graph. . In the sensor box, measuring and outputting EIT data from the chest of the subject in real time; And
Including, in the low-breathing monitoring unit, receiving the EIT data of the sensor box, monitoring a hypopnea state of the subject using the EIT data, and displaying a monitoring result of the hypo-breathing state; and
Displaying the monitoring result,
In the EIT data processing unit, detecting information on a breathing state inside the lungs from the EIT data, including air distribution, volume change, or a combination thereof;
In a respiration parameter calculation unit, analyzing the detected respiration state information to calculate a respiration parameter including tidal volume, minute ventilation, or respiratory rate;
Determining a hypoventilation state by comparing the calculated respiratory parameter with a corresponding hyporespiration reference value; And
And controlling the display to display the calculated respiratory parameter or the monitoring result for the hypoventilation state, in the display controller. The method of claim 9,
The step of detecting the respiratory state information inside the lung,
Low breathing monitoring method, characterized in that detecting the breathing state information inside the lung from the change in electrical conductivity of the chest cross section from EIT data obtained by measuring one of current or voltage through a plurality of electrodes attached to the subject. The method of claim 10,
The step of determining the hypoventilation state,
For each of the calculated breathing parameters, a reference value for low breathing calculated based on a change in the electrical conductivity of the lung area of the chest section or numerical data corresponding to the size of the electrical conductivity of the lung area determined as hypopnea. The hypoventilation monitoring method, characterized in that determining the hypoventilation state by comparing the displayed hyporespiration reference value. The method of claim 9,
The step of controlling the display,
And controlling the display to display the tidal volume, minute ventilation or respiratory rate as numbers and signal graphs.

Images