TW201328661A - System for determining extent of sleep disorders based on compared criterion and method thereof - Google Patents

Abstract

A system for determining extent of sleep disorders based on a compared criterion and a method thereof are provided. By reading normal physiology data in accordance with measured physiology data, generating a criterion physiology data in according to the normal physiology data, and determining extent of sleep disorders based on the normal physiology data and the measured physiology data, the system and the method can achieve the effect of determining extent of sleep disorders quickly.

Description

System and method for judging the severity of sleep disorder based on comparison benchmark

A system and method for determining the severity of a sleep disorder, in particular, a system and method for determining the severity of a sleep disorder based on a comparison criterion.

Sleep and diet are basic physiological needs, and everyone needs to sleep. Therefore, under normal circumstances, people should not lose sleep. However, in fact, the number of visits to sleep disorders clinics shows that there are not many patients with sleep disorders. Once people have long been unable to get enough rest from good sleep, they will feel very tired and easily anxious and worried, even affecting Role function and health hazard.

If people want to judge whether they have sleep disorders, the most important way is to use a variety of physiological monitors (polysomnography), a number of physiological monitors can monitor sleep apnea and the number and type of respiratory dysfunction, hypoxia index And the number of times, ECG signal, nasal and nasal airflow, respiratory movements of the chest and abdomen, blood oxygen levels, snoring times and other physiological data, and additional instruments to monitor other physiological data according to the condition of the subject, therefore, the use of multiple physiological monitoring Monitoring the physiological data during sleep will be of great help in the diagnosis of sleep disorders.

However, the amount of physiological data monitored by a number of physiological monitors is very large, and medical personnel who need some experience can patiently check to determine whether a person using multiple physiological monitors has sleep disorders, and at the same time, because of medical care. Personnel judge the experience, so it is often impossible to judge the severity of sleep disorders in people who use multiple physiological monitors.

In summary, it can be seen that there has been a long-standing problem in the prior art that it is impossible to quickly and effectively judge the severity of sleep disorders, and therefore it is necessary to propose an improved technical means to solve this problem.

In view of the fact that the prior art cannot quickly and effectively judge the severity of sleep disorders, the present invention discloses a system and method for judging the severity of sleep disorders based on a comparison criterion, wherein: the basis of the disclosure of the present invention is compared The system for determining the severity of sleep disorders includes at least: a data collection module for reading the measured physiological data measured by the subject during sleep; and a data reading module for determining the physiological data according to the test The characteristic reads the conventional physiological data measured by the sleepless person during sleep, the conventional physiological data is stored in the storage medium in advance, and the reference data generating module is used to generate the reference from the read conventional physiological data according to the feature. Physiological data; a sleep disorder degree judging module for judging whether the subject has a sleep disorder according to the characteristics of the reference physiological data and the characteristics of the measured physiological data, and for judging that the subject suffers from a sleep disorder The severity of sleep disorders.

The method for determining the severity of a sleep disorder according to the reference comparison method comprises the steps of: providing normal physiological data measured by a person without sleep disorder during sleep; and reading the test subject during sleep. The physiological data to be tested; the conventional physiological data is read according to the characteristics of the physiological data to be tested; according to the characteristics, the reference physiological data is generated from the conventional physiological data read; the measured physiological data according to the characteristics of the reference physiological data and the characteristics of the measured physiological data are determined. Whether the person has a sleep disorder and determines the severity of the sleep disorder when the subject suffers from a sleep disorder.

The system and method disclosed by the present invention are as above, and the difference from the prior art is that the present invention reads conventional physiological data according to the characteristics of the measured physiological data, and after generating the reference physiological data from the conventional physiological data being read according to the characteristics. According to the characteristics of the reference physiological data and the characteristics of the measured physiological data, the severity of the sleep disorder is judged, thereby solving the problems existing in the prior art, and achieving the technical effect of automatically determining the severity of the sleep disorder.

The features and embodiments of the present invention will be described in detail below with reference to the drawings and embodiments, which are sufficient to enable those skilled in the art to fully understand the technical means to which the present invention solves the technical problems, and The achievable effects of the present invention.

The invention can determine whether the subject suffers from a sleep disorder according to the physiological data measured by the person without sleep disorder after taking the physiological data measured by the subject during sleep, and judges that the subject suffers from the disease. The severity of sleep disorders.

The physiological data mentioned in the present invention are data obtained after performing specific measurement on an individual, for example, heart rate, respiratory number, body temperature, blood pressure, limb movement, etc., and may also be as brain wave diagram, electrocardiogram, sound reflection signal, light reflection. Signal, blood oxygen concentration, carbon dioxide concentration, skin conductance, eye movement status, eyelid activity status, volume/volume of body peripheral blood vessels, etc., may even be a collection of any of the above materials, but not limited thereto.

The sleep disorders mentioned in the present invention include, but are not limited to, sleep-related breathing disorders such as sleep apnea or hypopnea, and symptoms such as narcolepsy which may affect sleep quality.

Hereinafter, the system operation of the present invention will be described with reference to the system architecture diagram for determining the severity of sleep disorders based on the reference in the "Fig. 1". As shown in FIG. 1, the system of the present invention includes a data collection module 110, a data reading module 130, a reference data generation module 150, and a sleep disorder degree determination module 170.

The data collection module 110 is configured to read the physiological data measured by the sensor 400 during the sleep of the subject in a wired or wireless manner. In the present invention, the physiological data read by the data collection module 110 It is called "physiological data to be tested".

The sensor 400 is responsible for monitoring the physiological data of the subject. The sensor 400 can be an invasive or non-invasive device. When the sensor 400 is invasive, the sensor 400 will be fully or partially buried in the subject; and when the sensor 400 is non-invasive In the formula, the sensor 400 may be in contact with the subject, such as a sphygmomanometer, a thermometer, an electroencephalogram measuring device, an electrocardiograph measuring device, etc., and the sensor 400 may not need to be in contact with the subject, such as a motion sensing device, Vibration sensor, etc.

The data reading module 130 is responsible for reading the conventional physiological data in the storage medium 200 according to at least one feature of the measured physiological data read by the data collection module 110. The conventional physiological data read by the data reading module 130 is a physiological data obtained by measuring a plurality of sleepless subjects during sleep, and after obtaining the conventional physiological data, the conventional physiological data is stored in the storage medium. 200.

The data reading module 130 reads the characteristics of the measured physiological data used by the conventional physiological data, as shown in "Fig. 2", which may be the amplitude 510 of the physiological data, the period 520 of the physiological data or the frequency, and the waveform of the physiological data. 530. The waveform of the physiological data and the area 540 surrounded by the time axis, or any combination of the above items, but the invention is not limited thereto.

The data reading module 130 can read all the conventional physiological data. Before the data reading module 130 reads all the conventional physiological data, the data reading module 130 can be used to determine from the measured physiological data. One or more characteristics corresponding to various sleep disorders, and then adjusting the same characteristics of each conventional physiological data to adjust the conventional physiological data, so that the characteristics of the conventional physiological data adjusted by the measured physiological data and the conventional physiological data are adjusted. The rule, for example, conforms to a predetermined ratio, or conforms to a predetermined difference, etc., but the invention is not limited thereto. For example, if the feature corresponding to a certain sleep disorder is amplitude, the data reading module 130 first adjusts the amplitude of each conventional physiological data such that the amplitude of each conventional physiological data is between the amplitude of the measured physiological data and the amplitude of the measured physiological data. All meet the adjustment rules. Among them, the features unrelated to the adjusted features will not change, for example, in the conventional physiological data, the characteristics such as the period irrelevant to the amplitude will not be changed.

The data reading module 130 can also read out part of the conventional physiological data. At this time, the data reading module 130 first obtains one or more features corresponding to various sleep disorders from the measured physiological data. The conventional physiological data with the same characteristics and adjusting rules are screened out. For example, if the feature corresponding to a certain sleep disorder is a cycle, the data reading module 130 selects the regular physiological data of the cycle of the measured physiological data and the cycle of the conventional physiological data according to the adjustment rule, and then reads the data. Screen out the conventional physiological data.

The reference data generating module 150 is responsible for calculating the characteristics of the conventional physiological data according to the data reading module 130, and calculating the conventional physiological data read by the data reading module 130 to generate the reference physiological data. In general, the reference physiological data generated by the reference data generating module 150 corresponds to the conventional physiological data read by the data reading module 130.

In some embodiments, the reference data generating module 150 can perform statistical analysis on each feature of the conventional physiological data that is read, thereby calculating the reference physiological data, for example, calculating the amplitude, period, and area average of the conventional physiological data. A statistical value such as a value, a median, etc., and a new waveform is defined based on the calculated statistical value, so that the new waveform is used as the reference physiological data. However, the manner in which the reference data generating module 150 generates the reference physiological data is not limited to the above.

The sleep disorder degree judging module 170 is responsible for determining whether the subject suffers from reading with the data reading module 130 according to the characteristics of the reference physiological data and the measured physiological data, the data reading module 130 reads the conventional physiological data. Take the sleep disorder corresponding to the characteristics used in conventional physiological data.

The sleep disorder degree judging module 170 is also responsible for determining, after determining that the subject has a sleep disorder corresponding to the feature used by the data reading module 130 to read the conventional physiological data, according to the reference physiological data and the measured physiological data. The data reading module 130 reads the features used in the conventional physiological data to determine the severity of the sleep disorder experienced by the subject.

In some embodiments, the sleep disorder degree determination module 170 can calculate the ratio of the features used by the data reading module 130 to read the conventional physiological data in the reference physiological data and the measured physiological data, and when the calculated ratio reaches At a predetermined value, the sleep disorder degree determination module 170 can determine that the subject has a sleep disorder corresponding to the feature used by the data reading module 130 to read the conventional physiological data, and when the calculated ratio does not reach the predetermined value The sleep disorder degree determination module 170 can determine that the subject does not have the sleep disorder. At the same time, the sleep disorder degree judging module 170 can also determine the severity of the sleep disorder suffered by the subject according to the ratio or the difference between the calculated ratio and the predetermined value.

Next, an operational system and method of the present invention will be described with reference to an embodiment. Referring to FIG. 3, a flow chart of a method for determining the severity of a sleep disorder based on a comparison criterion according to the present invention will be described.

Before the present invention provides for use, it is necessary to measure the conventional physiological data of a plurality of sleep-free persons during sleep to provide subsequent use (step 301). In the present embodiment, it is assumed that the measured physiological data includes ECG signals, respiratory number, body temperature, blood pressure, and the number of movements of the limb.

After the conventional physiological data is stored in the storage medium 200, the data collection module 110 can read the measured physiological data measured by the subject while sleeping (step 320). Among them, the measured physiological data measured by the subject during sleep also includes ECG, respiratory number, body temperature, blood pressure, and the number of movements of the limb.

After the data collection module 110 reads the measured physiological data measured by the subject during sleep (step 320), the data reading module 130 can store according to one or more characteristics of the measured physiological data. A plurality of conventional physiological data are read in the medium 200 (step 330).

In this embodiment, it is assumed that the data reading module 130 firstly analyzes the waveforms (characteristics) of the physiological data, such as the electrocardiogram signal, the respiratory number, the body temperature, the blood pressure, and the number of movements of the limb, and the heart and telecommunications in the conventional physiological data. The waveform of the number, the number of breaths, the body temperature, the blood pressure, and the number of movements of the limbs are selected to screen out the conventional physiological signals whose waveform similarity is within a predetermined value (adjustment rule), and then the conventional physiological signals screened out are read out.

In practice, the data reading module 130 can also adjust the waveform of each conventional physiological data, so that the waveforms and physiological physiology of the conventional physiological data such as the adjusted ECG signal, respiratory number, body temperature, blood pressure, and number of movements of the limbs are measured. The similarity of the waveform of the data is within a predetermined value, and then the data reading module 130 reads the adjusted conventional physiological data.

After the data reading module 130 reads the conventional physiological data according to the characteristics in the measured physiological data (step 330), the reference data generating module 150 can be read according to the characteristics used for reading the conventional physiological data. The conventional physiological data produces baseline physiological data (step 350). In this embodiment, the reference data generating module 150 analyzes the waveforms of all the conventional physiological data read, and selects the waveform with the highest similarity between the waveform and other conventional physiological data from all the conventional physiological data read. Physiological data is used as the baseline physiological data.

After the reference data generating module 150 generates the reference physiological data from the read conventional physiological data according to the characteristics used for reading the conventional physiological data (step 350), the sleep disorder degree determining module 170 can be based on the reference physiological data. The data reading module 130 reads the features used in the conventional physiological data, and the characteristics of the measured physiological data, the data reading module 130 reads the conventional physiological data, and determines whether the subject has the data reading. The module 130 reads a particular sleep disorder corresponding to the features used by the conventional physiological data (step 360). In this embodiment, the sleep disorder degree determination module 170 calculates the ratio of the waveform of the reference physiological data and the waveform of the measured physiological data (that is, the waveform of the reference physiological data and the similarity value of the waveform of the measured physiological data), And judge whether the calculated ratio reaches a predetermined value.

When the calculated ratio does not reach the predetermined value, the sleep disorder degree determining module 170 determines that the subject does not have the sleep disorder corresponding to the feature used by the data reading module 130 to read the conventional physiological data; When the ratio reaches a predetermined value, the sleep disorder degree determination module 170 determines that the subject has a sleep disorder corresponding to the feature used by the data reading module 130 to read the conventional physiological data.

After the sleep disorder degree determining module 170 determines that the subject has a sleep disorder, the sleep disorder degree determining module 170 can use the data reading module 130 to read the conventional physiological data according to the reference physiological data and the measured physiological data. The feature determines the severity of the sleep disorder experienced by the subject (step 370). In this embodiment, it is assumed that the sleep disorder degree determination module 170 determines the severity of the sleep disorder suffered by the subject according to the calculated difference between the ratio and the predetermined value. For example, the higher the difference is, the more serious the difference is. In this way, the subject can know whether or not the sleep disorder is known by the present invention, and the severity of the sleep disorder is known.

In summary, it can be seen that the difference between the present invention and the prior art is that the conventional physiological data is read from the characteristics of the measured physiological data, and the reference physiological data is generated from the conventional physiological data read out according to the characteristics, according to the reference. The technical means of determining the severity of the sleep disorder by the characteristics of the physiological data and the characteristics of the physiological data to be tested, and the technical means can solve the problem that the prior art cannot quickly and effectively determine the severity of the sleep disorder, and further Achieve the technical effect of automatically determining the severity of sleep disorders.

Furthermore, the method according to the present invention for determining the severity of a sleep disorder can be implemented in a combination of hardware, software or a combination of hardware and software, or can be implemented in a centralized manner in a computer system or spread by different components. The decentralized implementation of several interconnected computer systems.

While the embodiments of the present invention have been described above, the above description is not intended to limit the scope of the invention. Any modification of the form and details of the practice of the present invention, which is a matter of ordinary skill in the art to which the present invention pertains, is a patent protection of the present invention. range. The scope of the invention is to be determined by the scope of the appended claims.

110. . . Data collection module

130. . . Data reading module

150. . . Benchmark data generation module

170. . . Sleep disorder degree judgment module

200. . . Storage medium

400. . . Sensor

510. . . amplitude

520. . . cycle

530. . . Waveform

540. . . Area area

Step 301 provides conventional physiological data measured by multiple sleep-free persons during sleep

Step 320: reading the measured physiological data measured by the subject during sleep

Step 330: reading conventional physiological data according to characteristics of the tested physiological data

Step 350: According to the feature, the reference physiological data is generated from the conventional physiological data read out.

Step 360: determining whether the subject has a specific sleep disorder according to the characteristics of the reference physiological data and the characteristics of the measured physiological data

Step 370 determining the severity of the sleep disorder

The first figure is a system architecture diagram for judging the severity of sleep disorders based on the comparison criteria.

FIG. 2 is a schematic diagram of physiological data according to an embodiment of the present invention.

Figure 3 is a flow chart of the method for determining the severity of sleep disorders based on the comparison criteria of the present invention.

Step 301 provides conventional physiological data measured by multiple sleep-free persons during sleep

Step 320: reading the measured physiological data measured by the subject during sleep

Step 330: reading conventional physiological data according to characteristics of the tested physiological data

Step 350: According to the feature, the reference physiological data is generated from the conventional physiological data read out.

Step 360: determining whether the subject has a specific sleep disorder according to the characteristics of the reference physiological data and the characteristics of the measured physiological data

Step 370 determining the severity of the sleep disorder

Claims (10)

A method for determining the severity of a sleep disorder based on a comparison criterion, the method comprising at least the steps of: providing a plurality of conventional physiological data measured by a plurality of sleep-free persons during sleep; and reading a subject during sleep Measuring one of the measured physiological data; reading at least one of the conventional physiological data according to at least one characteristic of the measured physiological data; according to the characteristic, generating a reference physiological data from the read conventional physiological data; The characteristic of the reference physiological data and the characteristic of the measured physiological data determine whether the subject has at least one specific sleep disorder, and when the subject has the sleep disorder, determine the seriousness of the sleep disorder degree. The method for determining the severity of a sleep disorder according to the comparison criterion according to the first aspect of the patent application, wherein the step of reading at least one of the conventional physiological data according to the characteristic of the measured physiological data is based on the measured physiological data The feature respectively adjusts each of the conventional physiological data such that the characteristic of the conventional physiological data and the characteristic of the measured physiological data conform to an adjustment rule, and then reads the conventional physiological data. The method for determining the severity of a sleep disorder according to the comparison criterion according to the first aspect of the patent application, wherein the step of reading at least one of the conventional physiological data according to the characteristic of the measured physiological data is to read the feature and the The characteristic of the measured physiological data conforms to at least one of the conventional physiological data of an adjustment rule. The method for determining the severity of a sleep disorder according to the comparison criterion according to the first aspect of the patent application, wherein the feature according to the reference physiological data and the feature of the measured physiological data determine whether the subject has the The step of calculating the sleep disorder is to calculate a ratio of the characteristic of the reference physiological data to the characteristic of the measured physiological data, and when the ratio reaches a predetermined value, determining that the subject has the sleep disorder, wherein the determining The step of the severity of the sleep disorder is to determine that the subject has the sleep disorder based on the ratio and the predetermined value. A system for determining the severity of a sleep disorder based on a comparison criterion, the system comprising: a data collection module for reading a measured physiological data measured by a subject during sleep; and a data reading module a group for reading at least one conventional physiological data measured by a plurality of sleep-free persons during sleep according to at least one feature of the measured physiological data, the conventional physiological data being pre-stored in a storage medium; a reference data generating module for generating a reference physiological data from the read conventional physiological data according to the feature; and a sleep disorder degree determining module for using the characteristic of the reference physiological data and the The characteristic of the measured physiological data determines whether the subject has at least one specific sleep disorder, and is used to determine the severity of the sleep disorder when the subject is judged to have the sleep disorder. The system for determining the severity of a sleep disorder according to the comparison criterion according to the fifth aspect of the patent application, wherein the data reading module adjusts the characteristic of each of the conventional physiological data according to the characteristic of the measured physiological data. After the characteristics of each of the conventional physiological data are conformed to an adjustment rule, each of the conventional physiological data is read. The system for determining the severity of a sleep disorder according to the comparison criterion according to the fifth aspect of the patent application, wherein the data reading module is configured to select the characteristic of the conventional physiological data and the characteristic of the measured physiological data. Adjust the ruler and read out the regular physiological data selected. A system for determining the severity of a sleep disorder according to a comparison criterion according to the fifth aspect of the patent application, wherein the feature includes at least the amplitude, frequency, waveform, and/or waveform and time axis of the conventional physiological data/physiological data to be tested. A collection of areas enclosed by the area. A system for determining the severity of a sleep disorder according to a comparison criterion according to the fifth aspect of the patent application, wherein the reference data generation module is to calculate the characteristic of the conventional physiological data read, thereby calculating the reference physiological data. . A system for determining the severity of a sleep disorder according to a comparison criterion according to the fifth aspect of the patent application, wherein the sleep disorder degree determination module is one of calculating the feature of the reference physiological data and the characteristic of the measured physiological data. a ratio, when the ratio reaches a predetermined value, determining that the subject has the sleep disorder, and when the ratio does not reach the predetermined value, determining that the subject does not have the sleep disorder, and the sleep disorder degree determination module The severity of the sleep disorder is determined based on the ratio and the predetermined value.