KR20230107459A - Eye Patch Type Biosignal Measuring Device, Hypnograph System And Hypnograph Method Using The Same - Google Patents

Abstract

The present invention relates to a sleep measurement system using an eyepatch-type bio-signal measuring device and a sleep measurement method using the same, and more particularly, to an eye patch-type bio-signal measuring device that can be used at home to easily diagnose sleep disorders. It relates to a sleep measuring system using a large bio-signal measuring device and a method of measuring sleep of a sleep disorder patient with the sleep measuring system.
The purpose of the present invention is to provide a sleep measurement system using an eyepatch-type biosignal measuring device that can perform a pre-test that can have the equivalent of a polysomnography at home using an eyepatch-type biosignal measuring device that is easy to wear. to be
In addition, the present invention uses an eyepatch-type biosignal measuring device that can check the sleep test result on a user's mobile device by receiving and analyzing the sleep measurement result from the server when the sleep test is completed using the eyepatch type biosignal measuring device. Another purpose is to provide a sleep measurement system.

Description

Eye patch type biosignal measuring device, sleep measuring system having the same, and sleep measuring method

The present invention relates to a sleep measurement system using an eyepatch-type bio-signal measuring device and a sleep measurement method using the same, and more particularly, to an eye patch-type bio-signal measuring device that can be used at home to easily diagnose sleep disorders. It relates to a sleep measuring system using a large bio-signal measuring device and a method of measuring sleep of a sleep disorder patient with the sleep measuring system.

Sleep is a natural phenomenon that we all experience. The appropriate amount of sleep varies from person to person. In normal cases, newborns sleep 16 hours a day, 12 to 13 hours at 1 year old, adults sleep 8 hours at night, and older adults sleep about 6 hours. Sleep is divided into non-REM sleep and REM sleep. Non-REM sleep accounts for 75-80% of total sleep and is necessary for the physical recovery of our body. Non-REM sleep is further divided into four stages: stages 1 and 2 are light sleep, and stages 3 and 4 are deep sleep. REM sleep is known as dreaming sleep, and it accounts for 20-25% of sleep, and is necessary for restoring mental and mental fatigue.

Therefore, lack of sleep or low levels of deep sleep and REM sleep due to various causes cause many obstacles in daily life. There are dozens of other types of sleep disorders, including insomnia, sleep apnea, hypersomnia, abnormal behavior during sleep (parasomnia), and sleep cycle disorder. In addition, since the causes of each sleep disorder are very diverse, it is important to make an accurate diagnosis. Taking medicines hastily can make treatment more difficult or aggravate the sleep disorder itself, which can lead to serious complications such as stroke or myocardial infarction. The most helpful test for diagnosing sleep disorders is polysomnography. Polysomnography is a test for diagnosing sleep disorders. It comprehensively measures brain waves, eye movements, muscle movements, breathing, electrocardiogram, etc. It is used to analyze records to diagnose sleep-related diseases and to determine treatment policies.

Polysomnography is 1) evaluating the quality of sleep by analyzing the time spent sleeping in each stage of sleep, 2) examining muscle tension during sleep because the body is unable to recover because muscles are constantly tense during bad sleep, and 3) If there is sleep apnea or severe snoring, the change in heart rate becomes very severe and cardiac arrhythmias occur. Therefore, the activity of the heart during sleep is monitored by continuous electrocardiogram measurement during sleep. The inability to breathe is called sleep apnea. The breathing volume is continuously measured during sleep to accurately evaluate breathing disorders. 5) The amount of oxygen in the blood is measured to evaluate hypoxia during sleep. 7) observing leg movements to monitor leg cramps during sleep, and 8) monitoring body positions during sleep to analyze sleep disorders.

To accurately evaluate sleep quality, polysomnography is performed in hospitals. There was a lot of cost and inconvenience, such as visiting a hospital separately to receive a polysomnography, wearing equipment and sleeping under the observation of an expert. Therefore, there is a need for more research on a method for diagnosing sleep disorders while sleeping at home without visiting a hospital.

Republic of Korea Patent Registration No. 10-1332828 Republic of Korea Patent Registration No. 10-1958561 Republic of Korea Patent Publication No. 10-2017-0083483 Republic of Korea Patent Publication No. 10-2020-0063689

In order to solve the above conventional problems, the present invention uses an eyepatch-type biosignal measurement device that is easy to wear and measures eyepatch-type biosignals that can perform a pre-test that can have the equivalent of polysomnography at home. Its purpose is to provide a sleep measurement system using a device.

In addition, the present invention provides an eyepatch-type biosignal measuring device that can check the sleep test result on a user's mobile device by receiving and analyzing the sleep measurement result from the system server when the sleep test is completed using the eyepatch type biosignal measuring device. Another object is to provide a sleep measurement system using the present invention.

In order to achieve the above object, an eyepatch-type bio-signal measuring device of the present invention includes a vibration sensor unit for measuring an eyeball motion signal of a patient; a bio-signal sensor unit for measuring oxygen saturation and heart rate signals of the patient; A sound sensor unit for measuring the patient's breathing; a temperature sensor unit for measuring a patient's body temperature; a communication unit that transmits biosignal data measured by the vibration sensor unit, the biosignal sensor unit, the sound sensor unit, and the temperature sensor unit to the mobile device; and a power supply unit supplying power to the vibration sensor unit, the biosignal sensor unit, the sound sensor unit, the temperature sensor unit, and the communication unit.

The sleep measurement system using the eyepatch-type bio-signal measuring device of the present invention includes an eyepatch-type bio-signal measuring device for measuring a patient's bio-signal during sleep; Black box device for measuring the sleeping position of the patient during sleep; a mobile device receiving and storing the patient's sleep measurement data from the eye patch-type bio-signal measuring device; and a system server that receives the patient's sleep measurement data from the mobile device and the patient's sleep image data from the black box device and analyzes the patient's sleep disorder.

Here, the eyepatch-type bio-signal measuring device used in the sleep measurement system using the eye-patch-type bio-signal measuring device includes a vibration sensor unit for measuring an eyeball motion signal of a patient; a bio-signal sensor unit for measuring oxygen saturation and heart rate signals of the patient; A sound sensor unit for measuring the patient's breathing; a temperature sensor unit for measuring a patient's body temperature; a communication unit that transmits biosignal data measured by the vibration sensor unit, the biosignal sensor unit, the sound sensor unit, and the temperature sensor unit to the mobile device; It is preferable to include; a power supply unit supplying power to the vibration sensor unit, biosignal sensor unit, sound sensor unit, temperature sensor unit, and communication unit.

Here, the black box device includes an infrared photographing unit for photographing the patient's sleeping posture with infrared light; a sleep image labeling unit for extracting only images in which the patient's image is exposed from among the sleep images captured by the infrared image capture unit and excluding images without the patient's image; an image storage unit for storing the patient's sleep image collected by the sleep image labeling unit; a video communication unit transmitting the sleep image stored in the image storage unit to the system server; and an image power supply unit supplying power to the infrared capture unit, the sleep image labeling unit, the image storage unit, and the image communication unit.

Here, the mobile device may include: a mobile communication unit receiving bio-signal data of the eye patch-type bio-signal measuring device; a user information unit in which patient user information is stored after logging in; a mobile storage unit for merging and storing bio-signal data received from the mobile communication unit with user information of the user information unit; and a display unit displaying a result of the sleep disorder analyzed and diagnosed by the system server.

Here, it is preferable that the system server analyzes the bio-signal data transmitted from the mobile device and the sleep image transmitted from the black box device to determine the patient's Parkinson's disease prediction and sleep disorder, and transmits the data to the mobile device.

The system server includes a patient's body position analysis unit, a patient's body direction analysis unit, a stabilization determination unit, a vital signal and sleep image linkage unit, and a warning transmission unit.

The patient's body position analysis unit detects the positions of the patient's head, torso, arm, and leg of the patient from the patient's sleep image while the patient is lying on the bed.

The patient's body direction analysis unit includes a trunk direction sub-analysis unit and a face direction sub-analysis unit, and the body direction sub-analysis unit is in a frontal state in a lying state based on the patient's torso and left side based on the patient's torso. Assuming that the lying state is the left state, the right lying state is the right state based on the patient's torso, and the prone state is the prone state based on the patient's torso, the frontal state is 0 ° and the left state is 90 ° , If the supine state is defined as 180 ° and the right state as 270 °, the rotation angle of the patient's torso with respect to the bed over time is converted into data, and the face direction sub-analysis unit looks at the face and torso Based on , the case where the face and chest look in the same direction is 0°, the rotation angle that the face looks to the right with respect to the body is (+), and the rotation angle that the face looks to the left with respect to the body is ( -) If defined as a rotation angle, the viewing angle of the face and torso over time is converted into data.

The stabilization determination unit compares the sleep measurement data measured by the vibration sensor unit, the bio-signal sensor unit, the sound sensor unit, and the temperature sensor unit with reference data to determine whether the sleep is normal or abnormal.

The bio-signal and sleep image interlocking unit interlocks the data analyzed by the patient's body direction analysis unit and the data determined by the stabilization determination unit to match whether sleep is normal or abnormal in a specific body direction of the patient.

When the sleep measurement data is abnormal, the warning transmitter transmits a message about posture change to a speaker included in the eyepatch-type bio-signal measuring device.

In addition, the sleep measurement method by the sleep measurement system using the eyepatch-type bio-signal measurement device of the present invention includes a first step of a patient logging in to the mobile device and inputting user information; A second step of wearing the eyepatch-type bio-signal measuring device on the patient and installing the black box device on the patient; A third step of transmitting bio-signal data of a sleeping patient to the mobile device in real time; a fourth step of merging and storing the patient's user information and bio-signal data in the mobile device, transmitting the data to the system server, and transmitting the patient's sleep image data from the black box device to the system server; a fifth step of analyzing the patient's bio-signal data and sleep image data in the system server to determine sleep disorders and transmitting the data to the mobile device; and a sixth step of confirming a sleep disorder diagnosis result of the patient in the mobile device.

As described above, the present invention has an advantage in that polysomnography can be performed at home without visiting a hospital.

In addition, the present invention has the advantage of being able to immediately check the diagnosis result for sleep disorders through a mobile device after a sleep test.

1 is a schematic diagram of a sleep measurement system using an eyepatch-type bio-signal measuring device according to an embodiment of the present invention.
2 is a schematic diagram of an eyepatch-type bio-signal measuring device according to an embodiment of the present invention.
3 is a main circuit diagram of an eyepatch-type bio-signal measuring device according to an embodiment of the present invention.
4 is a schematic diagram of a black box device according to an embodiment of the present invention.
5 is a schematic diagram of a mobile device according to an embodiment of the present invention.
6 is a flow chart of a sleep measuring method by a sleep measuring system using an eyepatch-type bio-signal measuring device according to an embodiment of the present invention.

In the drawings shown below, the same reference numerals denote the same components, and the size of each component in the drawings may be exaggerated for clarity and convenience of description. Meanwhile, the embodiments described below are merely illustrative, and various modifications are possible from these embodiments. In the following, terms are used only for the purpose of distinguishing one component from another. Singular expressions include plural expressions unless the context clearly dictates otherwise. In addition, when a certain component is said to "include", this means that it may further include other components without excluding other components unless otherwise stated. In addition, terms such as "... unit" described in the specification mean a unit that processes at least one function or operation.

Hereinafter, the configuration of a sleep measurement system using the eyepatch-type bio-signal measuring device of the present invention will be described with reference to the drawings. 1 is a schematic diagram of a sleep measurement system using an eyepatch-type bio-signal measuring device 100 according to an embodiment of the present invention. Referring to FIG. 1, the sleep measurement system using the eyepatch-type bio-signal measuring device 100 of the present invention includes an eyepatch-type bio-signal measuring device 100, a black box device 200, a mobile device 300, and a system server ( 400) may be configured.

The eyepatch-type bio-signal measuring device 100 of the present invention measures a patient's bio-signals during sleep, and may be in the form of a sleep mask made of cotton. In order to receive polysomnography, visit a hospital and attach a sensor to the scalp for EEG, attach the sensor to the chest for electrocardiogram, attach a breathing sensor to the nose to measure breathing during sleep, and arrhythmia There were many cumbersome procedures, such as attaching a sensor to the leg for measurement. However, the use of the eyepatch-type bio-signal measuring device 100 of the present invention has the advantage that a sensor required for polysomnography is attached to the sleep eyepatch, so that the sensor does not need to be attached to the body as long as the eyepatch is worn.

2 is a schematic diagram of an eyepatch-type bio-signal measuring device according to an embodiment of the present invention, and FIG. 3 is a main circuit diagram of the eyepatch-type bio-signal measuring device according to an embodiment of the present invention. Referring to FIG. 2 , the eye patch-type bio-signal measuring device 100 of the present invention includes a vibration sensor 110, a bio-signal sensor 120, a sound sensor 130, a temperature sensor 140, a communication unit ( 150) and a power supply unit 160. For example, it is composed of a pair of glasses-shaped round frames of the eye patch-type bio-signal measuring device 100 and a support frame supporting the round frames, and may be formed as a band connected to the support frame.

The vibration sensor unit 110 of the present invention measures eyeball motion signals of a sleeping patient in real time. Examination of eye movements is called EOG (Electrooculogram), and by recording eye movements, it is possible to observe the slow movement of the eyeballs before falling asleep or when waking up, and it is necessary to observe eye movements during REM sleep. The vibration sensor unit 110 according to an embodiment of the present invention may include an acceleration sensor that detects vibration, and detects minute vibrations from the acceleration sensor installed inside the eye patch and in contact with the eyeball to measure the signal of eye movement. can In addition, a positive potential is generated near the cornea and a negative potential is generated near the retina, and the change in this potential difference according to the eye movement is observed through the electrode. In another embodiment of the present invention, in a pair of round frames, a first electrode may be provided in a first round frame, and a second electrode may be provided in a second round frame. For example, the first electrode (not shown) of the vibration sensor unit 110 is positioned 0.5 to 1.5 cm above the outer edge of the right eye, and the second electrode (not shown) is positioned 0.5 to 1.5 cm above the outer edge of the left eye. By placing it 1.5 cm below, it can measure eye movements that change in all directions. That is, the reason why the position of the electrodes is up and down is that vertical movements as well as horizontal movements can be observed and eye movements can be more easily confirmed because they are recorded symmetrically.

The bio-signal sensor unit 120 of the present invention measures oxygen saturation and heart rate signals of a sleeping patient in real time. Oxygen saturation (SpO ₂ ) refers to an index that quantifies the ratio of the amount of hemoglobin combined with oxygen in the blood to the total amount of hemoglobin as a percentage. A person can fall into hypoxia during sleep, which is particularly severe in patients with sleep apnea, and can cause severe symptoms such as stroke or myocardial infarction, increase the recurrence rate, and cause morning headaches. Therefore, measurement of blood oxygen saturation during sleep is very important. The biosignal sensor unit 120 of the present invention includes an infrared (600 to 750 nm) light source (not shown) and an ultraviolet (850 to 1,000 nm) light source (not shown), and projects light from the infrared light source and the ultraviolet light source onto the skin. Therefore, the oxygen saturation can be calculated by measuring the ratio of light absorbed from the skin by an absorption light diode (not shown) located on the opposite side. The infrared light source, the ultraviolet light source, and the absorption light diode may be positioned on the eyepatch so as to come into contact with a skin-permeable nose or near an ear. An oxygen saturation of 95% or higher is normal, 90-94% is mild hypoxemia, 75-89% is moderate hypoxemia, and 75% or less is severe hypoxemia.

In addition, the heartbeat signal should be measured with an electrocardiogram, which means that the electrical activity of the heart is analyzed and recorded in the form of a wavelength. The electrocardiogram is measured by attaching electrodes around the heart, wrist, ankle, etc., but in the present invention, the vibration sensor can be measured by placing the vibration sensor on the temple or the side of the head close to the ear, where the heart rate can be measured when wearing an eye patch. The human heart is very active during the day and beats slowly at night. However, if there is a sleep disorder, the heart is burdened even at night. If there is sleep apnea or severe snoring, the change in heart rate becomes very severe, cardiac arrhythmias occur, and in chronic cases, high blood pressure, myocardial hypertrophy, and heart failure are caused. . Therefore, continuous electrocardiogram measurement and analysis during sleep is very important for diagnosis and treatment of sleep disorders.

The sound sensor unit 130 of the present invention measures the patient's breathing in real time. The sound sensor unit 130 may include a microphone (not shown) and an amplifier (not shown), and place the microphone near the patient's nose to measure breathing or snoring noise generated during sleep. Analog signals can be amplified using an amplifier. Severe snoring is a very important factor in the analysis of sleep disorders because it deteriorates the quality of sleep and causes disturbances in cardiorespiratory function.

The temperature sensor unit 140 of the present invention measures the patient's body temperature in real time. Measuring the body temperature of a sleeping patient is a very important factor in analyzing sleep disorders. At night, the body temperature is lowered, and one of the causes is because the body is almost inactive unlike during the day, but besides that, sleep itself lowers the body temperature. Even if you don't sleep at all, your body temperature goes down a little at night, but if you're sleeping, your body temperature goes down even more. In the sleep state, the standard value of the body temperature decreases, the metabolism decreases, and the amount of heat produced in the body decreases, so sleep itself lowers the body temperature. During deep sleep, such as REM sleep, the drop in body temperature increases. Therefore, it is necessary to analyze changes in body temperature along with bio-signal data to analyze the state of sleep of the patient. The temperature sensor unit 140 according to an embodiment of the present invention may include a contact temperature sensor and a non-contact temperature sensor, and a contact temperature sensor is used at a part that can come into contact with the skin around the inside of the eye patch. , The body temperature of a sleeping patient can be measured in real time by using a non-contact temperature sensor on one side of a pair of glasses-shaped round frames.

The communication unit 150 of the present invention transmits biosignal data measured by the vibration sensor unit 110, the biosignal sensor unit 120, the sound sensor unit 130, and the temperature sensor unit 140 to the mobile device 200. do. The communication unit 150 may transmit the biosignal data to a mobile device through short-range wireless communication. The short-range wireless communication of the present invention uses Bluetooth using a frequency band of 2.4 GHz, EnOcean using specific frequencies such as 315 MHz, 868 MHz, and 902 MHz. One of various short-distance wireless communications such as Wi-Fi using a frequency band of 2.4 to 5 GHz and Wi-SUN using a frequency of 920 MHz can be used.

The power supply unit 160 of the present invention supplies power to the vibration sensor unit 110, the biosignal sensor unit 120, the sound sensor unit 130, the temperature sensor unit 140, and the communication unit 150. Since polysomnography continuously measures bio-signal data during a patient's sleep, a built-in battery having sufficient capacity should be used so as not to interfere with polysomnography. In addition, a separate USB port can be placed to charge the built-in battery.

The black box device 200 of the present invention measures the sleeping posture of a sleeping patient. The black box device 200 can be placed on the upper part of the body of a sleeping patient or the upper part of the bed separately from the eye patch-type bio-signal measuring device 100. In about 15% of cases of insomnia, involuntary foot or leg cramps are the cause, and may occur concurrently with other sleep disorders. Therefore, it is necessary to closely monitor leg movements through the black box device 200 of the present invention. In addition, posture when sleeping is related to sleep disorders. Sleep time can be calculated for each body position and used for sleep disorder analysis. 4 is a schematic diagram of a black box device according to an embodiment of the present invention. Referring to FIG. 4, the black box device 200 of the present invention includes an infrared photographing unit 210, a sleep image labeling unit 220, an image storage unit 230, an image communication unit 240, and an image power supply unit 250. can be configured to include

The infrared imaging unit 210 of the present invention captures the patient's sleeping posture in infrared light. If the sleeping posture of a sleeping patient is photographed with a general camera, the patient's sleeping posture cannot be accurately recorded due to the dark indoor environment. Therefore, an infrared camera that can accurately capture the sleeping posture of a sleeping patient even in a dark room must be used. . The infrared photographing unit 210 includes an infrared camera that detects infrared light. The infrared camera receives infrared energy and uses data of the infrared energy to create an image through a digital or analog image output function. The infrared imaging unit 210 of the present invention may be specifically composed of a lens (not shown), a thermal sensor (not shown), an electronic processing device (not shown), and a mechanical housing (not shown).

The sleep image labeling unit 220 of the present invention extracts only an image in which the patient's image is exposed from among the sleep images captured by the infrared capture unit 210, and excludes an image without the patient's image. Since the infrared imaging unit 210 is located on the upper part of the patient's body or the upper part of the bed to capture the sleeping posture of the patient during sleep, when the patient moves or is not captured by the infrared imaging unit, the sleeping image is unnecessary. The sleep image labeling unit 220 is placed separately to extract only the sleep image of the patient. The sleep image labeling unit 220 according to an embodiment of the present invention may be set in a sensor method or a program method so that the image is not stored when a thermal image object is not detected among the images captured by the infrared capture unit 220. .

The image storage unit 230 of the present invention stores the patient's sleep image collected by the sleep image labeling unit 220 . The image storage unit 230 according to an embodiment of the present invention may be a removable memory card or a built-in memory card.

The image communication unit 240 of the present invention transmits the sleep image stored in the image storage unit 230 to the system server 300, and the image power unit 250 includes the infrared capture unit 210, the sleep image labeling unit 220, Power is supplied to the image storage unit 230 and the image communication unit 240 . The video communication unit 240 can use short-range wireless communication in the same way as the communication unit 150, and the video power supply unit 250 can have a built-in battery like the power supply unit 160 and has a separate USB port for charging. can be provided.

The mobile device 300 of the present invention receives and stores the patient's sleep measurement data from the eyepatch-type bio-signal measuring device 100 . Since the eyepatch-type bio-signal measuring device 100 is eyepatch-shaped and is worn by a patient during sleep, sleep measurement data can be transmitted to the mobile device 300 through relatively safe short-range wireless communication, and the mobile device 300 can transmit the sleep measurement data. It can be sent and saved. In addition, the mobile device 300 has a user information log-in function to input user information, and when the sleep disorder diagnosis result is transmitted to the mobile device 300 by the system server 400, the result can be checked. The mobile device 300 according to an embodiment of the present invention may be a portable computer device such as a smart phone, tablet, or laptop computer. 5 is a schematic diagram of a mobile device 300 according to an embodiment of the present invention. Referring to FIG. 5 , the mobile device 300 of the present invention may include a mobile communication unit 310 , a user information unit 320 , a mobile storage unit 330 and a display unit 340 .

The mobile communication unit 310 of the present invention receives bio-signal data measured by the eye patch-type bio-signal measuring device 100 . The mobile communication unit 310 according to an embodiment of the present invention may receive biosignal data from the communication unit 150 of the eyepatch-type biosignal measuring device 100 through Bluetooth. In addition, the mobile communication unit transmits biosignal data stored in the mobile storage unit 330 to the system server 400 through wireless communication such as WAN or Wifi.

In the user information unit 320 of the present invention, patient user information is stored after logging in. The user information unit 320 can generate a member ID and password so that a patient who wants to undergo a polysomnography can log in to the sleep measurement system using the eyepatch-type bio-signal measuring device of the present invention, and the logged-in user can obtain user information. can be entered.

In the mobile storage unit 330 of the present invention, bio-signal data received from the mobile communication unit 310 is merged with user information of the user information unit 320 and stored. Since the eyepatch-type bio-signal measuring device 100 transmits bio-signal data in real time and does not have a separate storage device therein, the bio-signal data transmitted in real time from the eyepatch-type bio-signal measuring device 100 is mobile. It is merged with user information and stored in the storage unit 330 . If the bio-signal data is not merged with the user information, it is indistinguishable from the bio-signal data of other patients, so merging the bio-signal data and the user information is an essential process. The mobile storage unit 330 according to an embodiment of the present invention may be an internal memory of a smart phone, and biosignal data merged with user information may be encrypted and stored.

The display unit 340 of the present invention displays the analysis result from the system server 400 . The system server 400 analyzes the bio-signal data merged with the user information and the sleep image data from the black box device 200, and when the patient's sleep disorder is diagnosed, the result is transmitted to the mobile device 300 again. is displayed on the display unit 340 so that the patient and guardian can check the result.

The system server 400 of the present invention analyzes the bio-signal data transmitted from the mobile device 300 and the sleep image transmitted from the black box device 200 to predict the patient's Parkinson's disease and identify the sleep disorder to determine the mobile device 300 ) is sent to The system server 400 may analyze the patient's bio-signal data measured by the eye patch-type bio-signal measuring device 100 and the patient's sleep image data collected by the black box device 200 and diagnose sleep disorders. Sleep disorders refer to sleep-related diseases, and sleep disorders can be divided into non-organic sleep disorders, such as non-organic insomnia, nightmares, and sleepwalking, and organic sleep disorders, which include organic insomnia, narcolepsy, and sleep apnea. Almost any disease or trauma can interfere with sleep, such as asthma, joint pain, toothache, stomach pain from a stomach ulcer, muscle pain, etc., as well as excitement, worry, or excessive stress. Sometimes, taking sleeping pills can cause insomnia, and sleep can be affected by drinking and eating. Aging can also be one of the causes, and things like sleep apnea, sleep seizures, restless legs syndrome, and nocturnal muscle cramps also cause sleep disorders. Some people have difficulty falling asleep or have trouble waking up often, while others have difficulty staying awake during the day. In addition, sleep-related symptoms such as walking around, being startled during sleep, gnashing of teeth, and excessive sweating while sleeping may be seen. In addition, being so sleepy during the day that you can't help but fall asleep in a situation where you shouldn't sleep, habitually taking sleeping pills, feeling chest pain at night, snoring severely and stopping your breath irregularly, abnormalities in your feet You may feel numbness, move your legs on their own, or experience severe headaches in the morning. Sleep disorders cause symptoms such as fatigue, poor memory or concentration, depression, and anxiety. The system server 400 may analyze the patient's sleep disorder by comparing various clinical data or data learned by artificial intelligence with the patient's sleep data.

The system server includes a patient's body position analysis unit, a patient's body direction analysis unit, a stabilization determination unit, a vital signal and sleep image linkage unit, and a warning transmission unit.

The patient's body position analysis unit converts the position of the patient's head, the patient's torso, the patient's arm, and the patient's leg into coordinates in a state in which the patient is lying on the bed from the patient's sleep image, and converts the position of the patient's body into coordinates, and also converts the sleep image into coordinates. data of the patient's head, patient's torso, patient's arm, and patient's leg.

The patient's body direction analysis unit includes a trunk direction sub-analysis unit and a face direction sub-analysis unit, and the body direction sub-analysis unit is in a frontal state in a lying state based on the patient's torso and left side based on the patient's torso. Assuming that the lying state is the left state, the right lying state is the right state based on the patient's torso, and the prone state is the prone state based on the patient's torso, the frontal state is 0 ° and the left state is 90 ° , If the prone state is defined as 180 ° and the right state as 270 °, the rotation angle of the patient's torso with respect to the bed over time is stored, and the face direction sub-analysis unit determines the facing direction of the face and torso As a standard, when the face and chest are looking in the same direction, 0°, the rotation angle at which the face looks to the right with respect to the torso is (+), and the rotation angle at which the face looks to the left with respect to the torso is (-) ) If defined as a rotation angle, the angle at which the face is rotated with respect to the torso over time is stored. With respect to the bed, the rotational angle of the patient's torso over time is stored in real time, and the viewing angles of the face and torso are stored in real time to form data.

The stabilization determination unit determines whether the patient's sleep is normal or abnormal by comparing the bio-signal data measured by the vibration sensor unit, the bio-signal sensor unit, the sound sensor unit, and the temperature sensor unit with reference data.

The bio-signal and sleep image interlocking unit interlocks the data obtained from the patient's body position analysis unit and the data analyzed from the patient's body direction analysis unit with the data determined by the stabilization determination unit so that the patient's sleep is normal and abnormal. match whether For example, the normal body position or body direction on the bed corresponding to the case where the bio-signal data is normal can be specified, and the abnormal body position or body direction on the bed corresponding to the case where the bio-signal data is abnormal can be determined. can be specified.

If the bio-signal data measured by the eyepatch-type bio-signal measuring device is abnormal, the warning transmitter displays an abnormal display on the display of the mobile device, or if the bio-signal data measured by the eyepatch-type bio-signal measuring device is normal, If it is determined as an abnormal body position or body direction matched by the bio-signal and sleep image interlocking unit, an abnormal display may be displayed on the display of the mobile device. Furthermore, a first vibrating unit is provided in the left frame of the eye patch-type bio-signal measuring device, and a second vibrating unit is provided in the right frame of the eye-patch-type bio-signal measuring device, so that when the bio-signal data is abnormal or a matched abnormal body is provided. When the position or body direction is determined, a vibration signal may be transmitted to the first vibration unit or the second vibration unit to change the sleeping position. For example, if it is determined that the patient is lying on his left side and is abnormal, the patient may unconsciously change the sleep position or direction in a specific direction by the vibration of the first vibration unit.

In addition, the sleep measurement system using the eyepatch-type bio-signal measuring device of the present invention can diagnose and predict Parkinson's disease by analyzing the patient's sleep disorder. Sleep disorder of Parkinson's disease is a representative non-motor symptom that was also mentioned by James Parkinson in 1817, and various diseases are known, and many studies have been conducted recently. Typical examples include insomnia, excessive daytime drowsiness, sleep attack, restless legs syndrome, periodic limb movement disorder, and REM sleep behavior disorder. rapid eye movement sleep behavioral disorder). The cause of sleep disorder in patients with Parkinson's disease is not clearly known, but the disease itself causes changes in the mesocorticolimbic dopamine circuit that affects the sleep-wake process and various other factors. think it will work The system server 400 analyzes the patient's bio-signal data and sleep image to diagnose whether or not the patient has Parkinson's disease and to predict the possibility of onset.

Hereinafter, a sleep measurement method by a sleep measurement system using an eyepatch-type bio-signal measurement device of the present invention will be described. 6 is a flow chart of a sleep measuring method by a sleep measuring system using an eyepatch-type bio-signal measuring device according to an embodiment of the present invention. Referring to FIG. 6 , the sleep measurement method by the sleep measurement system using the eyepatch-type bio-signal measuring device of the present invention may include the following steps.

Step 1 (S10): The patient logs in to the mobile device 300 and inputs user information

Step 2 (S20): Wearing the patient an eyepatch-type bio-signal measuring device 100 and installing the black box device 200 on the patient's upper body

Step 3 (S30): Transmitting bio-signal data of a sleeping patient to the mobile device 300 in real time

Step 4 (S40): The mobile device 300 merges and stores the patient's user information and bio-signal data, transmits the data to the system server 400, and recalls the patient's sleep image data in the black box device 200. Steps to transfer to system server

Fifth Step (S50): The system server 400 analyzes the patient's bio-signal data and sleep image, determines sleep disorder, and transmits the data to the mobile device 300.

Step 6 (S60): Checking the patient's sleep disorder diagnosis result on the mobile device 300

In a first step ( S10 ), a patient or guardian who wishes to undergo polysomnography inputs the patient's ID and password and the patient's user information into the mobile device 300 .

In the second step (S20), the patient wears the eyepatch-type bio-signal measuring device 100, and the black box device 200 is installed above the position where the patient sleeps. It is necessary to install the black box device 200 by determining a spot where the posture of the sleeping patient can be easily observed.

In the third step (S30), data obtained by measuring the patient's eye movement signal, electrocardiogram signal, breathing and snoring sound, and body temperature measured in real time by the eye patch-type bio-signal measuring device 100 are transmitted to the mobile device 300. .

In the fourth step (S40), the patient's user information input into the mobile device 300 and the bio-signal data transmitted from the blindfold-type bio-signal measuring device 100 are merged and stored, and the data is transmitted to the system server 400, Sleep image data of a sleeping patient collected by the black box device 200 is transmitted to the system server.

In the fifth step (S50), the system server 400 compares and analyzes the patient's bio-signal data and sleep image with already input clinical data or data learned by artificial intelligence to identify sleep disorders, and the mobile device 300 send to

In the sixth step (S60), the mobile device 300 checks the patient's sleep disorder diagnosis result transmitted from the system server 400. Using the sleep measurement system using the eyepatch-type bio-signal measuring device of the present invention, it is possible to check the sleep disorder diagnosis result on the mobile device 300 by performing a multi-sleep test while sleeping at home without going to a hospital.

The present invention is not limited to the above embodiments, but can be manufactured in a variety of different forms, and those skilled in the art to which the present invention pertains may take other specific forms without changing the technical spirit or essential features of the present invention. It will be understood that it can be implemented as. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting.

100: eye patch type biosignal measuring device
110: vibration sensor unit
120: biosignal sensor unit
130: sound sensor unit
140: temperature sensor unit
150: Ministry of Communication
160: power supply
200: black box device
210: infrared imaging unit
220: sleep image labeling unit
230: image storage unit
240: video communication unit
250: video power unit
300: mobile device
310: mobile communication department
320: user information unit
330: mobile storage unit
340: display unit
400: system server

Claims (6)

a vibration sensor unit for measuring an eye movement signal of the patient;
a bio-signal sensor unit for measuring oxygen saturation and heart rate signals of the patient;
A sound sensor unit for measuring the patient's breathing;
a temperature sensor unit for measuring a patient's body temperature;
a communication unit that transmits biosignal data measured by the vibration sensor unit, the biosignal sensor unit, the sound sensor unit, and the temperature sensor unit to the mobile device;
An eyepatch-type bio-signal measuring device comprising: a power supply unit supplying power to the vibration sensor unit, the bio-signal sensor unit, the sound sensor unit, the temperature sensor unit, and the communication unit. An eye patch-type bio-signal measuring device for measuring a patient's bio-signal during sleep;
Black box device for measuring the sleeping position of the patient during sleep;
a mobile device receiving and storing the patient's sleep measurement data from the eye patch-type bio-signal measuring device; and
and a system server that receives the patient's sleep measurement data from the mobile device and receives the patient's sleep image data from the black box device to analyze the patient's sleep disorder. Sleep measurement system using The method of claim 2,
The black box device,
an infrared photographing unit for photographing the patient's sleeping posture in infrared light;
a sleep image labeling unit that extracts only an image in which the patient's image is exposed from among the sleep images captured by the infrared capture unit and does not extract an image in which the patient's image is not exposed;
an image storage unit for storing the patient's sleep image collected by the sleep image labeling unit;
a video communication unit transmitting the sleep image stored in the image storage unit to the system server; and
A sleep measurement system using an eyepatch-type bio-signal measuring device comprising: an image power supply unit supplying power to the infrared photographing unit, the sleep image labeling unit, the image storage unit, and the image communication unit. The method of claim 3,
The mobile device,
a mobile communication unit receiving bio-signal data of the eye patch-type bio-signal measuring device;
a user information unit in which patient user information is stored after logging in;
a mobile storage unit for merging and storing bio-signal data received from the mobile communication unit with user information of the user information unit; and
A sleep measurement system using an eyepatch-type bio-signal measuring device, characterized in that it includes a display unit displaying a result of the sleep disorder analyzed and diagnosed by the system server. The method of claim 4,
The system server analyzes the bio-signal data transmitted from the mobile device and the patient's sleep image data transmitted from the black box device to determine the patient's Parkinson's disease prediction and sleep disorder, and transmits the data to the mobile device. A sleep measurement system using an eyepatch-type bio-signal measuring device. In the method of measuring sleep by a sleep measuring system using an eye patch type biosignal measuring device,
A first step of logging in to the mobile device by the patient and inputting user information;
a second step of wearing the eyepatch-type bio-signal measuring device on the patient and installing a black box device on the upper part of the bed;
A third step of transmitting the measured bio-signal data to the mobile device in real time;
A fourth method in which the mobile device merges and stores the patient's user information and bio-signal data, transmits the merged data to a system server, and transmits the patient's sleep image data measured by the black box device to the system server. step;
a fifth step of analyzing the bio-signal data and sleep image data of the patient in the system server, identifying a sleep disorder, and transmitting the data to the mobile device; and
A sixth step of checking the patient's sleep disorder diagnosis result in the mobile device; sleep measurement method by a sleep measurement system using an eyepatch-type bio-signal measuring device, characterized in that it comprises.

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