TWM541830U - Sleep apnea monitoring analysis system built on IoT - Google Patents

Description

Sleep and respiratory arrest monitoring and analysis system constructed in the Internet of Things

This creation is about a monitoring and analysis system for sleep-discontinuation in the Internet of Things. It includes the use of wearable detection devices to detect blood oxygen concentration data and activity data of the subjects, and the use of cloud servers to assist in the analysis of the test. The blood oxygen concentration data at the time of inactivity, the sleep breathing stop index is obtained, and a report is generated to show the severity of the sleep stop of the subject.

Sleep apnea, originally a professional term for clinical medicine, has gradually been understood and applied by more people after decades of research and development. Sleep apnea is accompanied by intermittent hypoxia during sleep. However, the ignorant person may not feel well, but may not feel comfortable. Intermittent hypoxia does not immediately cause severe illness or death, but it is determined in the long term that hypertension will develop in animal experiments. According to public health data, including human insomnia, high blood pressure, and neurodegeneration, it is currently considered to be associated with sleep apnea. There are many reasons for sleep apnea, and obesity and airway obstruction are important risk factors.

However, the current examination of sleep apnea is very cumbersome and expensive, and must be completed in a professional sleep examination room after a few months of waiting. The sleep check, the cost of each check is not enough, and the patch of many instruments is glued to the user's body to detect a variety of physiological data of the user, and finally the professional doctor judges the user's sleep breathing through various physiological data. The severity of the disease. The proportion of people who really have the opportunity to conduct such tests is very small. From these few cases, it is difficult to estimate the precise prevalence rate, and it is difficult to conduct accurate correlation analysis with other variables, and subsequent treatment and prevention are unsustainable. Therefore, solving the time-consuming and cumbersome traditional medical sleep detection, reducing the cost and waiting time, has become a major problem in the treatment and screening of sleep-disordered breathing worldwide.

In the diagnosis and treatment of sleep-supplemented breathing, it is necessary to go to the hospital to diagnose the sleep disorder overnight, and the relevant data can be obtained, which not only causes inconvenience to the patient during the diagnosis and treatment, but also requires a relatively high cost of diagnosis and treatment. Therefore, how to conveniently and cheaply conduct diagnosis and treatment of sleep-disordered breathing still needs improvement.

The present invention provides a monitoring and analysis system constructed in the sleep breathing of the Internet of Things, including a detecting device and a cloud server. The detecting device is connected to the subject, and includes a blood oxygen detecting unit, a motion detecting unit and a transmitting unit.

The blood oxygen detecting unit provided by the present invention is configured to detect blood oxygen concentration data of one of the subjects, and the activity detecting unit is configured to detect activity data of one of the subjects, and the transmitting unit The blood oxygen detecting unit and the activity detecting unit are connected to transmit the blood oxygen concentration data and the activity data.

The cloud server provided by the present invention is configured to receive the blood oxygen concentration data and the activity data, analyze blood oxygen concentration data of one of the subjects during inactivity, obtain a sleep breathing stop indicator, and according to the sleep breathing Suspend the indicator and generate a report.

Preferably, the detection device provided by the present invention may include a heartbeat detecting unit for detecting heartbeat data of one of the subjects, and providing the physician as an auxiliary diagnosis for sleep breathing suspension.

10‧‧‧ Blood Oxygen Detection Unit

20‧‧‧ Activity detection unit

30‧‧‧Transmission unit

40‧‧‧Mobile devices

50‧‧‧Cloud Server

100‧‧‧Detection device

Figure 1 is a schematic diagram of the system architecture of the preferred embodiment of the present invention.

Figure 2 is a flow chart showing the method of analyzing the suspension of breathing in the preferred embodiment of the present invention.

Please refer to FIG. 1 . The present invention provides a schematic diagram of a monitoring and analyzing system constructed in the sleep breathing of the Internet of Things. The system includes a detecting device 100 , a mobile device 40 and a cloud server 50 . The device 100 is a wearable device that is connected to the subject and is worn on the fingertip of any finger of the subject. In the embodiment, the detecting device 100 includes a blood oxygen detecting unit. An activity detecting unit 20 and a transmitting unit 30, wherein the blood oxygen detecting unit 10 is configured to detect blood oxygen concentration data of one of the subjects, and the activity detecting unit 20 is configured to detect the receiving One of the activity data of the tester, in the present creation, the activity detecting unit 20 is an accelerometer, but the present creation is not limited thereto. The transmission unit 30 and The blood oxygen detecting unit 10 is connected to the activity detecting unit 20 for transmitting the blood oxygen concentration data and the activity data to the cloud server 50 by wire or wirelessly; the cloud server 50 receives the blood oxygen The concentration data and the activity data, and analyzing the blood oxygen concentration data of one of the subjects during inactivity to obtain a sleep breathing suspension indicator, the cloud server 50 generates a report according to the sleep breathing suspension indicator, wherein the sleep The respiratory arrest index is a blood oxygen reduction index or a respiratory arrest index.

In the above content, the transmission unit 30 transmits the blood oxygen concentration data to the mobile device 40 in a wired or wireless manner, preferably by using a wireless transmission method such as infrared, Bluetooth, ZigBee, ANT, etc., and through the action. The device 40 transmits the inactive oxygen concentration data to the cloud server 50 for analysis in a wired or wireless manner, and the cloud server 50 can transmit the report generated after the analysis to an Internet of Things device, such as a smart type. Mobile phones, PDAs, lithographic computers, or computers, etc., are shared with relatives or friends for further diagnostic research. In this embodiment, the mobile device 40 is a smart phone, which can also be used by a computer, a lithographic computer, a PDA, or a wireless base station to receive the wireless transmission unit 30 by means of wired or wireless data transmission. The blood oxygen concentration data and the activity data are transmitted, and the blood oxygen concentration data and the activity data are transmitted to the cloud server 50 through the mobile device 40.

In order to provide further understanding of the characteristics of the creation, the technical methods used and the expected results, the following is a detailed description of the use of this creation. I believe that you can have a deeper and more specific understanding of this creation: please refer to the second Map The present invention is a flow chart of the method for analyzing the breathing of the creation of the present invention. The detecting device 100 is a wearable device that is worn on the fingertip of any finger of the subject to utilize the blood oxygen detecting unit. 10 detecting the blood oxygen concentration data of the subject, the blood oxygen concentration data will be collected at a frequency of 1 point per second, and passed through the activity detecting unit 20, such as an accelerometer, to detect the activity data of the subject, and then The blood oxygen concentration data and the activity data are transmitted to the cloud server 50 for analysis. The cloud server 50 first determines whether the blood oxygen concentration data has dropped to a certain extent, for example, 4 percentage points, but the present creation is not limited thereto. When it is judged that the blood oxygen concentration data drops to 4 percentage points, it is further judged whether there is activity data at the same time. If there is no activity data, it is judged to be an event of blood oxygenation, and after continuously collecting data for one night, according to the total blood The number of oxygen drops and the bed time were calculated as an oxygen desaturation index (ODI), and the blood oxygenation index = total blood oxygen drop number/bed time. However, if the blood oxygen concentration data falls to 4 percentage points and there is activity data at the same time, it will be calculated back to a certain time according to the time when the detected blood oxygen concentration data is decreased, for example, 5 seconds, but this creation is not limited thereto. If the activity data is greater than the preset threshold within 5 seconds, it is determined that the body is in an active state, and the blood oxygen concentration data is excluded. The preset threshold value can be set according to the activity detecting unit 20 used, and the acceleration is used in the present creation. For example, it can be set to 5, but this creation is not limited to this. When the activity data is less than the preset threshold within 5 seconds, it is judged that this is a respiratory suspension event. After continuously collecting the data of one night, the respiratory arrest index (apnea) can be calculated according to the total number of pauses and the bedtime. -hypopnea index, AHI), respiratory arrest index = total number of respiratory arrests / bed time. The cloud server 50 is degraded according to blood oxygen Index and respiratory arrest index, report, the report specifically shows the severity of sleep apnea, according to the definition of international academics, the respiratory arrest index (oxygen drop index) represents the number of hypoxia per hour, and the definition of hypoxia is blood The oxygen concentration dropped by 4 percentage points. The respiratory arrest index (blood oxygen reduction index) is less than 5 for normal, between 5 and 15 for mild, 15 to 30 for moderate, and greater than 30 for severe respiratory arrest. In this creation, the above blood oxygenation index Both the respiratory arrest index and the respiratory arrest index can be used as indicators of sleep apnea. The cloud server 50 can further transmit the report to the Internet of Things device of the physician or relatives, such as a smart phone, a PDA, a lithographic computer or a computer, and can be shared with relatives or friends for further diagnostic research.

In addition, in a preferred embodiment, the detecting apparatus 100 provided by the present invention further includes a heartbeat detecting unit (not shown) for detecting heartbeat data of the subject, the heartbeat The detecting unit obtains the heartbeat data by detecting the pulse of the fingertip of the subject, and the heartbeat data is transmitted in the same manner as the aforementioned data, and details are not described herein. The resulting heartbeat data can be provided by the physician as an aid to the diagnosis of sleep apnea.

In summary, this creation has its excellent progress and practicality in similar products. At the same time, it has investigated the technical information about such structures at home and abroad. The same structure has not been found in the literature. This creation has already possessed new types of patent requirements, and applied for it according to law.

However, the above-mentioned ones are only one of the preferred embodiments of the present invention, and the equivalent structural changes in the application of the present specification and the scope of the patent application are intended to be included in the scope of the present patent.

10‧‧‧ Blood Oxygen Detection Unit

20‧‧‧ Activity detection unit

30‧‧‧Transmission unit

40‧‧‧Mobile devices

50‧‧‧Cloud Server

100‧‧‧Detection device

Claims (10)

A monitoring and analyzing system for sleep and breathing suspension of the Internet of Things is suitable for monitoring a subject. The monitoring and analyzing system comprises: a detecting device connected to the subject, comprising: a blood oxygenation test a measuring unit for detecting blood oxygen concentration data of one of the subjects; an activity detecting unit for detecting activity data of the one of the subjects; and a transmitting unit, and the blood oxygen detecting unit and The activity detecting unit is connected to transmit the blood oxygen concentration data and the activity data; and a cloud server is configured to receive the blood oxygen concentration data and the activity data, and analyze one of the subjects when inactive The blood oxygen concentration data obtains a sleep breathing stop index, and generates a report to an Internet of Things device according to the sleep breathing stop index. The monitoring and analysis system of claim 1, wherein the sleep apnea index is a blood oxygen reduction index or a respiratory arrest index. The monitoring and analysis system of claim 1, wherein the activity detecting unit is an accelerometer. The monitoring and analysis system of claim 1, wherein the transmission unit transmits the blood oxygen concentration data and the activity data to a mobile device in a wired or wireless manner, and transmits the blood oxygen concentration data and the mobile device through the mobile device. The activity data is delivered to the cloud server in a wired or wireless manner. The monitoring and analysis system of claim 4, wherein the mobile device is a computer, a lithographic computer, a PDA, a smart phone, or a router. The monitoring and analysis system of claim 1, wherein the detecting device is worn on a fingertip of any finger of the subject. The monitoring and analysis system of claim 1, wherein the cloud server transmits the report to the Internet of Things device in a wired or wireless manner. The monitoring and analysis system of claim 1, wherein the Internet of Things device is a smart phone, a PDA, a lithographic computer or a computer. The monitoring and analysis system of claim 1, wherein the detecting device further comprises a heartbeat detecting unit for detecting heartbeat data of the one of the subjects. The monitoring and analysis system of claim 1, wherein the transmission unit transmits the heartbeat data to a mobile device in a wired or wireless manner, and transmits the heartbeat data to the mobile device via the mobile device. Cloud server.