KR101958561B1 - Obstructive sleep apnea diagnosis apparatus and operating method thereof - Google Patents

Abstract

The present invention relates to a device for diagnosing sleep apnea based on an anthropometric measurement of a patient and an operation method thereof, and an apparatus for diagnosing sleep apnea according to an embodiment of the present invention includes an input unit for inputting patient information, And a processor for calculating the probability of a sleep apnea of the patient based on the input patient information and the detected skull structure information of the patient and diagnosing whether or not the patient has a sleep apnea based on the calculated probability do. Accordingly, the sleep apnea diagnosis apparatus can determine the sleep apnea of the patient by using the symptom and the physical measurement of the patient in a simple manner, thereby saving time and the like.

Description

TECHNICAL FIELD [0001] The present invention relates to a sleep apnea diagnosis apparatus,

The present invention relates to a device for diagnosing sleep apnea and an operation method thereof, and more particularly, to a device for diagnosing sleep apnea based on an anthropometric value of a patient and an operation method thereof.

Common symptoms of sleep apnea include snoring, obsessive apnea and daytime sleepiness, and physical characteristics include fat body, short neck, and small jaw. Although this disease is a common disease, patients are often not diagnosed and treated, causing problems of daytime sleepiness, traffic accidents, and often causing cardiovascular complications. The diagnosis of sleep apnea in patients with sleep apnea can not be known before the examination because of the need for expensive sleeping polyps. Accordingly, studies are being conducted to diagnose sleep apnea more easily.

Background Art [0002] Prior art 1 (Korean Patent Laid-Open Publication No. 10-2015-0160661) relates to a system for detecting apnea in real time, and relates to a system for detecting apnea in real time or during sleep Which is capable of detecting an apnea by detecting a possible apnea signal. That is, in the prior art document 1, there is disclosed a configuration for measuring whether or not apnea of an object to be measured does not need to be attached to various sensors such as a sleeping polygraph test. However, the prior art document 1 only judges whether the patient is currently apnea or not, so it does not predict whether or not the patient has apnea if the patient is not sleeping. That is, according to the preceding document 1, the patient needs to take sleep, and it may take a long time to diagnose sleep apnea.

Prior art 2 (Prior Art 2: Korean Patent Laid-Open Publication No. 10-2013-0068324) discloses a method for determining whether or not apnea is caused by a body fluid, plasma, serum, And diagnoses whether the patient is suffering from apnea from a cell, tissue, urine, or the like. However, in the prior art 2, there is a limit in that it is diagnosed by using chemical substances emitted from a patient to diagnose apnea, and is affected by the time of discharge of chemical substances.

Prior Art 3 (US Pat. No. 6,362,887) discloses a system for diagnosing sleep apnea by using a temperature sensor attached to the nostril region and using a temperature change due to breathing in the course of inhalation and exhalation. However, in the case of the prior art 3, the diagnosis of the apnea of the current patient is only possible.

As described above, in order to diagnose the sleep apnea of the patient in the past, it was difficult to diagnose the sleep apnea whether the patient was sleeping or chemicals discharged from the patient at a certain point in time. Thus, A simple method for determining is required.

Prior Art 1: Korean Patent Publication No. 10-2015-0160661 Prior Art 2: Korean Patent Publication No. 10-2013-0068324 Prior Art 3: US registered patent US6368287

An object of the present invention is to provide a device for diagnosing sleep apnea and a method for operating the device for diagnosing sleep apnea even when the patient is not in a sleep state.

It is an object of the present invention to provide a device for diagnosing sleep apnea and a method of operating the device for diagnosing sleep apnea without receiving an expensive sleeping test.

It is an object of the present invention to provide a device for diagnosing sleep apnea and a method of operating the device for diagnosing sleep apnea by a simple method from the symptom of a patient and an anthropometric value.

According to another aspect of the present invention, there is provided an apparatus for diagnosing sleep apnea comprising: an input unit for inputting patient information; a sensing unit for sensing a structure of a skull of the patient; And a processor for calculating the probability of sleep apnea of the patient based on the skull structure information of the patient and diagnosing whether the patient has a sleep apnea based on the calculated probability.

In addition, the sensing unit senses a thickness of the uvula (UTH) supine through the side-by-side radiation measurement for the patient, and the processor reads the thickness of the uvula supine of the patient based on the input patient information and the sensed UTH supine information It can be diagnosed as having an apnea.

In addition, the sensing unit may sense at least one of the subnasale to stomion distance, the UTH supine, and the mandibular plane-hyoid supine of the patient.

In addition, the patient information may include at least one of a snoring size, a waist circumference, an age, and a body mass index of the snoring of the patient.

The display may further include a display, wherein the processor displays a message for recommending a sleep polygraph examination when the calculated probability is equal to or greater than a predetermined value, through the display, and if the calculated probability is smaller than the predetermined value A message indicating that the sleep polygraph test is unnecessary can be displayed on the display.

Also, the processor can calculate the probability of sleep apnea by the following equation.

The probability of sleep apnea is P = 1 / (1 + exp (f)),

here,

f = -16.508 + 1.445 × snoring sound size ⁴ + 0.485 × snoring sound size ³ + 0.078 × waist circumference + 0.209 × subnasale to stomion distance + 0.183 × thickness of the uvula (UTH) supine + 0.041 × age,

Here, the snoring sound size ⁴ represents the largest sound (the very large snoring sound that can be heard in the next room) among the sounds classified in the Berlin Questionnaire, and the snoring sound size ³ is the second sound It represents a loud sound (a snoring sound that is larger than a talking sound).

The apparatus of claim 1, wherein the processor further calculates an apnea hypopnea index using the following equation:

The mean number of snoring sounds was ⁴ + 6.933 × the snore size was ³ + 1.297 × UTH supine + 0.272 × age.

In addition, the processor may determine whether the sleep polyvalence test and the positive pressure prescription test are simultaneously performed based on the probability of sleep apnea and the apnea hypopnea index.

According to another aspect of the present invention, there is provided a method for operating a sleep apnea diagnostic apparatus, comprising: inputting patient information; sensing a structure of the skull of the patient; and inputting the inputted patient information and the detected skull structure Calculating a probability of sleep apnea of the patient based on the information, and diagnosing whether the patient has a sleep apnea based on the calculated probability.

In addition, the sensing may include sensing a thickness of the uvula (UTH) supine through side-by-side radiometry for the patient, wherein the diagnosing is based on the entered patient information and the sensed UTH supine information It is possible to diagnose whether or not the patient has sleep apnea.

In addition, the detecting step may detect at least one of the subnasale to stomion distance, the UTH supine, and the mandibular plane-hyoid supine of the patient.

In addition, the patient information may include at least one of a snoring size, a waist circumference, an age, and a body mass index of the snoring of the patient.

If the calculated probability is greater than or equal to a preset value, a message for recommending sleeping polygraphy is displayed. If the calculated probability is smaller than the preset value, a message indicating that the sleeping polygon examination is unnecessary is displayed Step < / RTI >

In addition, the diagnostic step may calculate the probability of sleep apnea by the following equation.

The probability of sleep apnea is P = 1 / (1 + exp (f)),

here,

f = -16.508 + 1.445 × snoring sound size ⁴ + 0.485 × snoring sound size ³ + 0.078 × waist circumference + 0.209 × subnasale to stomion distance + 0.183 × thickness of the uvula (UTH) supine + 0.041 × age,

Here, the snoring sound size ⁴ represents the largest sound (the very large snoring sound that can be heard in the next room) among the sounds classified in the Berlin Questionnaire, and the snoring sound size ³ is the second sound It represents a loud sound (a snoring sound that is larger than a talking sound).

In addition, the diagnostic step may further calculate an apnea hypothermic breathing index using the following equation.

The mean number of snoring sounds was ⁴ + 6.933 × the snore size was ³ + 1.297 × UTH supine + 0.272 × age.

In addition, the diagnosing step may determine whether the sleep polyvalence test and the positive pressure prescription test are simultaneously performed based on the probability of sleep apnea and the apnea hypopnea index.

According to an embodiment of the present invention, there is provided a computer-readable recording medium including a program for executing a method of operating a sleep apnea diagnostic apparatus, the method comprising: receiving patient information; And calculating a probability of a sleep apnea of the patient based on the input patient information and the detected skull structure information of the patient and diagnosing whether the patient has a sleep apnea based on the calculated probability .

According to various embodiments of the present invention as described above, the sleep apnea diagnosis apparatus can determine the sleep apnea of the patient by a simple method using the symptom and the physical measurement of the patient, thereby saving time and the like.

In addition, even when the patient is not in a sleep state, the sleep apnea of the patient is predicted, and the sleep apnea test, which is a more accurate test, is performed based on the predicted sleep apnea, thereby reducing the cost.

Further, the accuracy of the sleep apnea of the patient is predicted by including the side-by-side radiographic measurement to improve the accuracy of the present invention.

FIG. 1A is a block diagram illustrating an apparatus for diagnosing sleep apnea according to an exemplary embodiment of the present invention. Referring to FIG.
1B is a block diagram illustrating a detailed configuration of a sleep apnea diagnosis apparatus according to another embodiment of the present invention.
FIG. 2 is a view for explaining a body measurement of a patient according to an embodiment of the present invention. FIG.
FIG. 3 is a diagram illustrating side-by-side radiographs according to an embodiment of the present invention.
4 is a flowchart illustrating an operation method of a sleep apnea diagnosis apparatus according to an embodiment of the present invention.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the exemplary embodiments. Like reference numerals in the drawings denote members performing substantially the same function.

The objects and effects of the present invention can be understood or clarified naturally by the following description, and the objects and effects of the present invention are not limited only by the following description. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will now be described more fully with reference to the accompanying drawings, in which exemplary embodiments of the invention are shown.

FIG. 1A is a block diagram for explaining an apparatus 100 for diagnosing sleep apnea according to an embodiment of the present invention. Referring to FIG. 1A, a sleep apnea diagnostic apparatus 100 includes an input unit 110, a sensing unit 120, and a processor 130.

The input unit 110 can receive patient information. For example, the input unit 110 may be a keyboard, a mouse, or the like for receiving patient information. However, the present invention is not limited to this, and the input unit 110 may be any type as long as it can input patient information.

Herein, the patient information may include at least one of the snoring size, waist circumference, age, and body mass index of the snoring of the patient.

The sensing unit 120 may sense the structure of the patient's skull. The sensing unit 120 may sense the structure of the patient's skull outside and the structure of the inside of the skull.

For example, the sensing unit 120 may include a length of the nose of the patient, a distance from the center of the lip to a jaw line, and the like. In particular, the sensing unit 120 may sense at least one of a patient's subnasal to stomion distance, a UTH (thickness of the uvula) supine, and a mandibular plane-hyoid supine. However, the present invention is not limited to this, and the patient's subnasale to stomion distance may be inputted through the input unit 110 after the doctor directly measures the patient. In addition, if the patient has information about the UTH supine and mandibular plane-hyoid supine, the information may also be input through the input unit 110. [

The sensing unit 120 may be a side-by-side radiation metrology for the patient. That is, the sensing unit 120 can sense the thickness of the uvula (UTH) supine of the patient through side-by-side radiography for the patient.

The processor 130 may control the operation of the sleep apnea diagnostic apparatus 100 in general. The processor 130 may be a CPU, an AP, or the like, but is not limited thereto, and any configuration capable of controlling the apparatus is acceptable.

The processor 130 may calculate the probability of a sleep apnea of the patient based on the input patient information and the detected skull structure information, and diagnose whether the patient has a sleep apnea based on the calculated probability.

In particular, the processor 130 may diagnose whether the patient has sleep apnea based on the entered patient information and the sensed UTH supine information.

On the other hand, the sleep apnea diagnostic apparatus 100 further includes a display, and the processor 130 displays a message for recommending sleep polygraph examination when the calculated probability is equal to or greater than a predetermined value, and displays the calculated probability A message indicating that a sleep polygraph test is unnecessary can be displayed on the display.

For example, if the calculated probability is greater than or equal to 50%, the processor 130 displays a message for recommending a sleep polygraph test on the display, and if the calculated probability is less than 50%, the sleep polygraph test is unnecessary A message indicating that the message can be displayed through the display.

Meanwhile, the processor 130 may calculate the probability of sleep apnea by the following equation.

[Equation 1]

The probability of sleep apnea is P = 1 / (1 + exp (f)),

here,

f = -16.508 + 1.445 × snoring sound size ⁴ + 0.485 × snoring sound size ³ + 0.078 × waist circumference + 0.209 × subnasale to stomion distance + 0.183 × thickness of the uvula (UTH) supine + 0.041 × age,

Here, the snoring sound size ⁴ represents the largest sound of the sounds distinguished from the Berlin Questionnaire (a very large snoring sound that can be heard in the next room), and the snoring sound size ³ is the second largest sound distinguished from the Berlin Questionnaire A sound (a larger snoring sound than a talking sound).

The subnasale to stomion distance represents the length from below the nose to the middle of the lips and is shown in Fig. Figure 2B shows the subnasale to stomion distance.

On the other hand, the UTH supine is shown in Fig. Figure 3 is a side-view radiographic measurement according to an embodiment of the present invention, wherein d in Figure 3 represents the UTH supine.

Meanwhile, the processor 130 may further calculate an apnea hypothermic breathing index. Specifically, the processor 130 may further calculate an apnea hypothermic breathing index using the following equation.

&Quot; (2) "

The mean number of snoring sounds was ⁴ + 6.933 × the snore size was ³ + 1.297 × UTH supine + 0.272 × age.

Here, the mandibular plane-hyoid supine is shown in Fig. 3 (a) shows a mandibular plane-hyoid supine.

The processor 130 may display the further calculated apnea hyperechoic index via the display.

Meanwhile, the processor 130 may determine whether to proceed simultaneously with the sleep polygraph test and the positive pressure prescription test based on the probability of sleep apnea and the apnea hypopnea index.

The above mathematical formulas were used to investigate 285 sleep apnea patients who were suspected of having sleep apnea, followed by physical examination, clinical radiography, physical examination, physical examination, sleep apnea, sleep apnea and sleep apnea These are mathematical expressions developed to Conventionally, only the patient's symptoms and anthropometric measurements were used, but the present invention improves the accuracy by further utilizing the results of the lateral cephalogram.

1B is a block diagram illustrating a detailed configuration of an apparatus 100 for diagnosing sleep apnea according to another embodiment of the present invention. The sleep apnea diagnosis apparatus 100 includes an input unit 110, a sensing unit 120, a processor 130, a display 140, a storage 150, and a communication unit 160. Details of the components shown in FIG. 1B that overlap with the components shown in FIG. 1A will not be described in detail.

The processor 130 generally controls the operation of the sleep apnea diagnostic apparatus 100 using various programs stored in the storage unit 150.

Specifically, the processor 130 includes a RAM 131, a ROM 132, a main CPU 133, a graphics processing unit 134, first through n interfaces 135-1 through 135-n, .

The RAM 131, the ROM 132, the main CPU 133, the graphics processing unit 134, the first to n interfaces 135-1 to 135-n, etc. may be connected to each other via the bus 136. [

The first to n-th interfaces 135-1 to 135-n are connected to the various components described above. One of the interfaces may be a network interface connected to an external device via a network.

The main CPU 133 accesses the storage 150 and performs booting using the O / S stored in the storage 150. [ Then, various operations are performed using various applications stored in the storage 150, contents, data, and the like.

The ROM 132 stores a command set for booting the system and the like. The main CPU 133 copies the O / S stored in the storage 150 to the RAM 131 according to the instruction stored in the ROM 132, executes the O / S, . When the booting is completed, the main CPU 133 copies various application programs stored in the storage 150 to the RAM 131, executes the application program copied to the RAM 131, and performs various operations.

The graphic processing unit 134 generates a screen including various objects such as an icon, an image, and a text using an operation unit (not shown) and a rendering unit (not shown). The operation unit (not shown) calculates an attribute value such as a coordinate value, a shape, a size, and a color to be displayed by each object according to the layout of the screen based on the received control command. The rendering unit (not shown) creates screens of various layouts including the objects based on the attribute values calculated by the operation unit (not shown). The screen generated in the rendering unit (not shown) is displayed within the display area of the display 140.

Meanwhile, the operation of the processor 130 described above may be performed by a program stored in the storage 150. [

4 is a flowchart illustrating an operation method of a sleep apnea diagnosis apparatus according to an embodiment of the present invention.

First, patient information is input (S410). Then, the structure of the skull of the patient is sensed (S420). The probability of sleep apnea of the patient is calculated on the basis of the entered patient information and the skull structure information of the detected patient, and whether the patient has a sleep apnea is diagnosed based on the calculated probability (S430).

The sensing step S420 includes sensing the thickness of the uvula (UTH) supine through the side-by-side radiation measurement for the patient, and diagnosing the patient (step S430) based on the inputted patient information and the sensed UTH supine information To diagnose the patient's sleep apnea.

Meanwhile, the sensing step S420 may detect at least one of the subnasale to stomion distance, the UTH supine and the mandibular plane-hyoid supine of the patient.

And, the patient information may include at least one of the patient's snoring sound volume, waist circumference, age and body mass index.

If the calculated probability is greater than or equal to the preset value, a message is displayed to invite the sleeping polygon examination. If the calculated probability is smaller than the preset value, a step of displaying a message indicating that the sleeping polygon examination is unnecessary .

On the other hand, in the diagnosis step S430, the probability of sleep apnea can be calculated by the following equation.

The probability of sleep apnea is P = 1 / (1 + exp (f)),

here,

f = -16.508 + 1.445 × snoring sound size ⁴ + 0.485 × snoring sound size ³ + 0.078 × waist circumference + 0.209 × subnasale to stomion distance + 0.183 × thickness of the uvula (UTH) supine + 0.041 × age,

Here, the snoring sound size ⁴ represents the largest sound of the sounds distinguished from the Berlin Questionnaire (a very large snoring sound that can be heard in the next room), and the snoring sound size ³ is the second largest sound distinguished from the Berlin Questionnaire A sound (a larger snoring sound than a talking sound).

Here, the diagnosis step S430 may further calculate the apnea hyperextension index using the following equation.

The mean number of snoring sounds was ⁴ + 6.933 × the snore size was ³ + 1.297 × UTH supine + 0.272 × age.

In addition, the diagnosis step (S430) may determine whether the sleep polyvalence test and the positive pressure prescription test are simultaneously performed based on the probability of sleep apnea and the apnea hypopnea index.

Meanwhile, the methods according to various embodiments may be programmed and stored in various storage media. As such, the methods according to various embodiments described above can be implemented in various types of electronic devices that execute the storage medium.

Specifically, according to an embodiment of the present invention, there is provided a method for diagnosing a sleep apnea of a patient, comprising the steps of receiving patient information, sensing a structure of a skull of a patient, A non-transitory computer readable medium may be provided in which a program for sequentially calculating a probability and diagnosing whether a patient has a sleep apnea based on the calculated probability is provided.

A non-transitory readable medium is a medium that stores data for a short period of time, such as a register, cache, memory, etc., but semi-permanently stores data and is readable by the apparatus. In particular, the various applications or programs described above may be stored on non-volatile readable media such as CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM,

According to various embodiments of the present invention as described above, the sleep apnea diagnosis apparatus can determine the sleep apnea of the patient by a simple method using the symptom and the physical measurement of the patient, thereby saving time and the like.

In addition, even when the patient is not in a sleep state, the sleep apnea of the patient is predicted, and the sleep apnea test, which is a more accurate test, is performed based on the predicted sleep apnea, thereby reducing the cost.

Further, the accuracy of the sleep apnea of the patient is predicted by including the side-by-side radiographic measurement to improve the accuracy of the present invention.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the present invention.

100: Sleep apnea diagnostic device
110: input unit
120:
130: Processor
140: Display
150: Storage
160:

Claims (17)

An input unit for receiving patient information;
A sensing unit for sensing a structure of the skull of the patient; And
A processor for calculating a probability of a sleep apnea of the patient based on the inputted patient information and the detected skull structure information of the patient and diagnosing whether or not the patient has a sleep apnea based on the calculated probability; Being a sleep apnea diagnostic device,
The processor comprising:
Characterized in that the probability of sleep apnea is calculated by the following formula:
The probability of sleep apnea is P = 1 / (1 + exp (-f)),
here,
f = -16.508 + 1.445 × snoring sound size ⁴ + 0.485 × snoring sound size ³ + 0.078 × waist circumference + 0.209 × subnasale to stomion distance + 0.183 × thickness of the uvula (UTH) supine + 0.041 × age,
Here, the snoring sound size ⁴ represents the largest sound (the very large snoring sound that can be heard in the next room) among the sounds classified in the Berlin Questionnaire, and the snoring sound size ³ is the second sound And a loud voice (a snoring sound greater than a talking sound).
The method according to claim 1,
The sensing unit includes:
The thickness of the uvula (UTH) supine is detected through side-by-side radiometry for the patient,
The processor comprising:
And diagnoses whether the patient has a sleep apnea based on the inputted patient information and the sensed UTH supine information.
The method according to claim 1,
The sensing unit includes:
Wherein the at least one of the subnasale to stomion distance, the UTH supine, and the mandibular plane-hyoid supine of the patient is sensed.
The method according to claim 1,
Wherein the patient information comprises:
Wherein the snoring of the patient comprises at least one of sound volume, waist circumference, age and body mass index.
The method according to claim 1,
Further comprising a display,
The processor comprising:
If the calculated probability is greater than or equal to a preset value, displaying a message to recommend a sleeping polygraph test through the display,
And displays a message indicating that a sleep polygraph test is unnecessary if the calculated probability is smaller than the preset value through the display.
delete The method according to claim 1,
The processor comprising:
Wherein the apnea hypom Respiratory Index is additionally calculated through the following equation:
The mean number of snoring sounds was ⁴ + 6.933 × the snore size was ³ + 1.297 × UTH supine + 0.272 × age.
8. The method of claim 7,
The processor comprising:
Wherein the sleep apnea diagnosis and the pressure pressure prescription examination are concurrently determined based on the probability of the sleep apnea and the apnea hypopnea index.
Receiving patient information;
Sensing a structure of the patient's skull; And
Calculating a probability of a sleep apnea of the patient based on the inputted patient information and the detected skull structure information of the patient and diagnosing whether the patient has a sleep apnea based on the calculated probability; A method of operating a sleep apnea diagnostic device,
Wherein the diagnosing comprises:
Characterized in that the probability of sleep apnea is calculated by the following formula:
The probability of sleep apnea is P = 1 / (1 + exp (-f)),
here,
f = -16.508 + 1.445 × snoring sound size ⁴ + 0.485 × snoring sound size ³ + 0.078 × waist circumference + 0.209 × subnasale to stomion distance + 0.183 × thickness of the uvula (UTH) supine + 0.041 × age,
Here, the snoring sound size ⁴ represents the largest sound (the very large snoring sound that can be heard in the next room) among the sounds classified in the Berlin Questionnaire, and the snoring sound size ³ is the second sound And a loud sound (a snoring sound greater than a talking sound).
10. The method of claim 9,
Wherein the sensing comprises:
The thickness of the uvula (UTH) supine is detected through side-by-side radiometry for the patient,
Wherein the diagnosing comprises:
And diagnosing the sleep apnea of the patient based on the entered patient information and the sensed UTH supine information.
10. The method of claim 9,
Wherein the sensing comprises:
Wherein the at least one of the subnasale to stomion distance, the UTH supine, and the mandibular plane-hyoid supine of the patient is sensed.
10. The method of claim 9,
Wherein the patient information comprises:
Wherein the snoring of the patient includes at least one of a sound size, a waist circumference, an age, and a body mass index.
10. The method of claim 9,
If the calculated probability is greater than or equal to a predetermined value, displays a message to invite a sleep polygraph test,
And displaying a message indicating that a sleep polygraph test is unnecessary if the calculated probability is smaller than the predetermined value. ≪ Desc / Clms Page number 19 >
delete 10. The method of claim 9,
Wherein the diagnosing comprises:
Wherein the apnea hypom Respiratory Index is additionally calculated through the following equation:
The mean number of snoring sounds was ⁴ + 6.933 × the snore size was ³ + 1.297 × UTH supine + 0.272 × age.
16. The method of claim 15,
Wherein the diagnosing comprises:
Wherein the sleep apnea test is performed based on the probability of sleep apnea and the apnea hypopnea index, and whether the sleep apnea test and the positive pressure prescription test are concurrently performed is determined. A computer-readable recording medium including a program for executing a method of operating a sleep apnea diagnostic apparatus,
The operating method comprises:
Receiving patient information;
Sensing a structure of the patient's skull; And
Calculating a probability of a sleep apnea of the patient based on the inputted patient information and the detected skull structure information of the patient and diagnosing whether the patient has a sleep apnea based on the calculated probability; Recording medium,
Wherein the diagnosing comprises:
Characterized in that the probability of sleep apnea is calculated by the following formula:
The probability of sleep apnea is P = 1 / (1 + exp (-f)),
here,
f = -16.508 + 1.445 × snoring sound size ⁴ + 0.485 × snoring sound size ³ + 0.078 × waist circumference + 0.209 × subnasale to stomion distance + 0.183 × thickness of the uvula (UTH) supine + 0.041 × age,
Here, the snoring sound size ⁴ represents the largest sound (the very large snoring sound that can be heard in the next room) separated from the Berlin Questionnaire, and the snoring sound size ³ is the second sound And a loud sound (a snoring sound that is larger than a talking sound).

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