Sleep state determination system and method using biological activity Doppler signals

Abstract

The invention provides a sleep state judgment system and method using biological activity Doppler signals. A sleep state determination system using a biological activity Doppler signal according to an embodiment of the present invention comprises: a Doppler signal acquisition unit that acquires a Doppler signal including biological activity information using a radar; an auxiliary signal processing unit that uses a thermal imaging sensor and a noise sensor to acquire a turning-over action and snoring noise as auxiliary signals; a Doppler signal analysis unit that analyzes the Doppler signal, acquires spectral energy at a preset period, determines whether or not the spectral energy is periodically acquired, and uses the auxiliary signal to distinguish the spectral energy; and a sleep interval definition unit that defines the sleep state of each interval in the entire sleep interval by using a combination of the aperiodic spectrum energy and the ratio of the breathing spectrum energy to the heartbeat spectrum energy among the spectrum energy.

Description

Technical Field

[0001] The present invention relates to a sleep state judgment system and method using biological activity Doppler signals, and in particular to a sleep state judgment system and method using biological activity Doppler signals, which uses a radar to obtain the Doppler signal of the user's biological activity in the user's sleep state, and analyzes the obtained Doppler signal to further analyze the user's sleep state. Background Art

[0002] In recent years, the number of people who need care or concern in domestic society has been increasing. People who need care or concern can be defined as those who need help in an emergency or do not have a cohabiting partner, such as the elderly, the disabled, and single-person households. The latest survey shows that the elderly population in South Korea has exceeded 9 million, the number of single-person households and the number of registered disabled people have exceeded 6.6 million and 2.6 million respectively. In addition, the number of people who died without a cohabiting partner and were later found to have died alone exceeded 10,000.

[0003] In addition, due to the irregular lifestyle of single-person households, sleep quality may become unstable, which may harm health. In order to test sleep quality, it is necessary to make an appointment with a special hospital, visit the doctor on time, and go through the cumbersome process of using special equipment directly while sleeping, so there is a problem that it is difficult to test sleep quality.

[0004] Summary of the invention

[0005] Technical problem to be solved by the invention

[0006] In order to solve the problems of the prior art as described above, an embodiment of the present invention provides a sleep state judgment system and method using biological activity Doppler signals, which uses a radar to obtain the Doppler signal of the user's biological activity in the user's sleep state, and analyzes the obtained Doppler signal to further analyze the user's sleep state.

[0007] Technical solutions to solve problems

[0008] In order to solve the above-mentioned problems, according to one aspect of the present invention, a sleep state judgment system using a biological activity Doppler signal is provided. It may include: a Doppler signal acquisition unit, which uses a radar to acquire a Doppler signal including biological activity information; an auxiliary signal processing unit, which uses a thermal imaging sensor and a noise sensor to acquire turning over and snoring noise as auxiliary signals; a Doppler signal analysis unit, which analyzes the Doppler signal and acquires spectrum energy at a preset period, determines whether the spectrum energy is acquired periodically, and when the spectrum energy is determined to be non-periodic spectrum energy, uses the auxiliary signal to distinguish the non-periodic spectrum energy; and a sleep interval definition unit, which uses the ratio of the respiratory spectrum energy to the heartbeat spectrum energy in the spectrum energy and the combination of the non-periodic spectrum energy to define the sleep state of each interval in the entire sleep interval.

[0009] The Doppler signal may include a respiratory Doppler signal for acquiring respiratory information of the user and a heartbeat Doppler signal for acquiring heartbeat information of the user.

[0010] The Doppler signal analysis unit may perform a fast Fourier transform on the Doppler signal to obtain the spectrum energy.

[0011] The sleep interval definition unit can define an interval in which the ratio of the respiratory spectrum energy to the heartbeat spectrum energy in the entire sleep interval is greater than or equal to 5:5 and the non-periodic spectrum energy does not exist as a deep sleep interval, and define an interval in which the ratio of the respiratory spectrum energy to the heartbeat spectrum energy is less than 5:5 and the non-periodic spectrum energy does not exist as an apnea interval.

[0012] The sleep interval definition unit may define an interval in which the non-periodic spectrum energy exists and is greater than or equal to a preset value as a turning over interval, and define an interval in the apnea interval in which the non-periodic spectrum energy is less than or equal to a preset value as a snoring interval.

[0013] According to one aspect of the present invention, a sleep state determination system using a biological activity Doppler signal is provided. The sleep state determination system using a biological activity Doppler signal comprises: a Doppler signal acquisition unit, which uses a radar to acquire a Doppler signal including biological activity information; an auxiliary signal processing unit, which uses a thermal imaging sensor and a noise sensor to acquire turning over and snoring noise as auxiliary signals; a Doppler signal analysis unit, which analyzes the Doppler signal and acquires spectrum energy at a preset period, determines whether the spectrum energy is acquired periodically, and when the spectrum energy is determined to be non-periodic spectrum energy, uses the auxiliary signal to distinguish the non-periodic spectrum energy; and a sleep interval definition unit, which uses a preset ratio range and the non-periodic spectrum energy to define the sleep state of the remaining sleep interval based on the average of the spectrum energy of the sleep entry interval that meets the preset benchmark in the entire sleep interval.

[0014] According to one aspect of the present invention, a method for determining a sleep state using a biological activity Doppler signal is provided. The method for determining a sleep state using a biological activity Doppler signal comprises: a Doppler signal acquisition step, in which a Doppler signal acquisition unit uses a radar to acquire a Doppler signal including biological activity information; an auxiliary signal processing step, in which an auxiliary signal processing unit uses a thermal imaging sensor and a noise sensor to acquire turning over and snoring noise as auxiliary signals; a Doppler signal analysis step, in which a Doppler signal analysis unit analyzes the Doppler signal and acquires spectrum energy at a preset period to determine whether the spectrum energy is acquired periodically; and a sleep interval definition step, in which a sleep interval definition unit uses a ratio of respiratory spectrum energy to heartbeat spectrum energy in the spectrum energy and a combination of the non-periodic spectrum energy to define the sleep state of each interval in the entire sleep interval.

[0015] The Doppler signal may include a respiratory Doppler signal for acquiring respiratory information of the user and a heartbeat Doppler signal for acquiring heartbeat information of the user.

[0016] In the Doppler signal analysis step, a fast Fourier transform may be performed on the Doppler signal to obtain the spectrum energy.

[0017] In the sleep interval definition step, the interval in which the ratio of the respiratory spectrum energy to the heartbeat spectrum energy in the entire sleep interval is greater than or equal to 5:5 and the non-periodic spectrum energy does not exist can be defined as a deep sleep interval, and the interval in which the ratio of the respiratory spectrum energy to the heartbeat spectrum energy is less than 5:5 and the non-periodic spectrum energy does not exist can be defined as an apnea interval.

[0018] In the sleep interval definition step, the interval in which the non-periodic spectrum energy exists and the non-periodic spectrum energy is greater than or equal to a preset size can be defined as a turning over interval, and the interval in the apnea interval in which the non-periodic spectrum energy is less than or equal to a preset size can be defined as a snoring interval.

[0019] According to one aspect of the present invention, a method for determining a sleep state using a biological activity Doppler signal is provided. The method for determining a sleep state using a biological activity Doppler signal comprises: a Doppler signal acquisition step, in which a Doppler signal acquisition unit uses a radar to acquire a Doppler signal including biological activity information; an auxiliary signal processing step, in which an auxiliary signal processing unit uses a thermal imaging sensor and a noise sensor to acquire turning over and snoring noise as auxiliary signals; a Doppler signal analysis step, in which a Doppler signal analysis unit analyzes the Doppler signal and acquires spectrum energy at a preset period to determine whether the spectrum energy is acquired periodically; and a sleep interval definition step, in which a sleep interval definition unit uses the average of the spectrum energy of the sleep entry interval that meets the preset benchmark in the entire sleep interval as a benchmark, and uses a preset ratio range and the non-periodic spectrum energy to define the sleep state of the remaining sleep interval.

[0020] Effects of the Invention

[0021] The sleep state determination system and method using the biological activity Doppler signal according to an embodiment of the present invention has the following effects: using radar to obtain the biological activity information of the user during sleep does not affect the user's body and does not disturb the user's sleep.

[0022] Alternatively, the sleep state determination system and method using the biological activity Doppler signal according to an embodiment of the present invention has the following effect: using the user's breathing and heartbeat information, the sleep state of each sleep interval of the user can be accurately determined. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a block diagram of a sleep state determination system using a biological activity Doppler signal according to an embodiment of the present invention.

[0024] Figure 2 is a flow chart of a method for determining a sleep state using a biological activity Doppler signal according to an embodiment of the present invention.

[0025] Figure 3 FIG. 1 is a diagram showing actual simulation experiment results using an embodiment of the present invention. DETAILED DESCRIPTION

[0026] Below, some embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. When assigning reference numerals to components in each of the accompanying drawings, even if the same components are shown in different drawings, the same reference numerals are assigned as much as possible. In addition, when describing the present embodiment, if it is determined that the detailed description of the relevant known configuration or function may obscure the gist of the present technical idea, the detailed description may be omitted. When "including", "having", "consisting of...", etc. are used in the specification, other parts may be added unless "only" is used. When a component is expressed in the singular, it may also include the plural, unless otherwise specifically stated.

[0027] In addition, when describing the components of the present disclosure, terms such as first, second, A, B, (a), (b) may be used. These terms are only used to distinguish the component from other components, and the nature, order or number of the components are not limited by the terms.

[0028] It should be understood that in the description of the positional relationship of components, when two or more components are described as being "connected", "combined" or "coupled", the two or more components may be directly "connected", "combined" or "coupled", or the two or more components may be "connected", "combined" or "coupled" through other components. Among them, the other components may be included in one or more components of the two or more components that are "connected", "combined" or "coupled" to each other.

[0029] In the description of the time flow relationship related to components, operating methods, manufacturing methods, etc., when describing the time relationship or sequential relationship, for example, "after", "next", "after", "before", etc., non-sequential situations may also be included unless "immediately" or "directly" is used.

[0030] On the other hand, when referring to a numerical value or corresponding information (e.g., grade, etc.) of a component, even if not explicitly stated separately, the numerical value or corresponding information should be interpreted as including the error range that may occur due to various factors (e.g., process factors, internal or external impacts, noise).

[0031] Figure 1 1 is a block diagram of a sleep state determination system using a biological activity Doppler signal according to an embodiment of the present invention. The sleep state determination system 1 using a biological activity Doppler signal according to an embodiment of the present invention is installed in a space where a user lives and sleeps, such as a bedroom, and when the user falls asleep, the sleep can be monitored and the biological activity Doppler signal can be acquired, and the acquired Doppler signal can be analyzed to define the user's sleep state. To this end, the present invention can use a biological activity measurement device using a radar pre-installed in the above space. Figure 1As shown, a sleep state determination system 1 using a biological activity Doppler signal according to an embodiment of the present invention may include a Doppler signal acquisition unit 11 , an auxiliary signal processing unit 13 , a Doppler signal analysis unit 15 and a sleep interval definition unit 17 .

[0032] The Doppler signal acquisition unit 11 acquires a Doppler signal including biological activity information from a radar installed in the user's sleeping space. The Doppler signal includes the user's breathing information (respiratory Doppler signal) and the user's heartbeat information (heartbeat Doppler signal). The Doppler signal can be defined as a signal including a Doppler frequency generated by the user's movement when the radar transmits radio waves to the user and the transmitted radio waves are returned. In one embodiment of the present invention, the respiratory Doppler signal and the heartbeat Doppler signal can be Doppler signals of the movement changes of body organs that are movable during breathing and body organs that are movable during heartbeat.

[0033] The auxiliary signal processing unit 13 uses an auxiliary biological activity information acquisition device also installed in the user's sleeping space to acquire auxiliary signals, and analyzes the acquired auxiliary signals to obtain information such as movement of other organs (turning over, etc.) or noise in addition to the user's breathing or heartbeat movement. To this end, the auxiliary signal processing unit 13 can obtain measurement results from a thermal imaging sensor and a noise measurement sensor as the auxiliary biological activity information acquisition device. The thermal imaging sensor can be used to measure the user's body movement, and the noise measurement sensor can be used to measure the user's snoring sound.

[0034] The auxiliary signal processing unit 13 may use the thermal imaging sensor to continuously obtain the contour information of the user's body. When the thermal imaging sensor is used to continuously obtain the contour information of the user's body, the contour information generated by the user's actions such as turning over can be obtained.

[0035] Alternatively, the auxiliary signal processing unit 13 may measure the noise generated by the user's snoring using a noise measuring sensor, and identify the noise as an auxiliary indicator for determining whether the user is currently snoring.

[0036] The body contour information and noise information obtained in the auxiliary signal processing unit 13 can be used in the Doppler signal analysis unit 15 described later. For example, when the Doppler signal analysis unit 15 uses the acquisition time information of the turning over action or snoring action represented as non-periodic spectral energy to obtain non-periodic spectral energy, it can be used as auxiliary information for determining what kind of biological activity information the energy is.

[0037] The Doppler signal analysis unit 15 analyzes the Doppler signal acquired by the Doppler signal acquisition unit 11, and acquires spectrum energy at a preset period. The Doppler signal analysis unit 15 applies a preset function to the Doppler signal to acquire spectrum energy, and analyzes the acquired spectrum energy according to a preset reference, so as to acquire spectrum energy of the respiratory Doppler signal and the heartbeat Doppler signal, that is, respiratory spectrum energy and heartbeat spectrum energy.

[0038] In one embodiment of the present invention, the Doppler signal analysis unit 15 can use fast Fourier transform (FFT) as a preset function to obtain spectrum energy from the Doppler signal at a preset period. Fourier transform is a well-known function, which refers to a transformation that decomposes a signal sampled in time or space into time frequency or space frequency components. Using this function, the Doppler signal analysis unit 15 can transform the Doppler signal obtained at a preset period into the spectrum energy of a specific frequency component.

[0039] After acquiring the spectral energy of a specific frequency component, the Doppler signal analysis unit 15 according to an embodiment of the present invention confirms whether the acquired spectral energy of the specific frequency component is a periodically generated spectral energy. The Doppler signal analysis unit 15 can continuously acquire the spectral energy of the acquired Doppler signal of a preset period, and determine whether the obtainable continuous spectral energy has periodicity. When it has periodicity, the corresponding spectral energy can be determined as the spectral energy of breathing or heartbeat, and when it does not have periodicity, the corresponding spectral energy can be determined as not the spectral energy of breathing or heartbeat.

[0040] The Doppler signal analysis unit 15 can determine whether the non-periodic spectrum energy has an energy greater than a preset value, and if it has an energy greater than the preset value, the corresponding spectrum energy is determined to be the spectrum energy of the Doppler frequency generated by the user's body movement. Alternatively, if it has an energy less than or equal to the preset value, the corresponding spectrum energy is determined to be the spectrum energy of the Doppler frequency generated by the user's snoring.

[0041] Alternatively, the Doppler signal analysis unit 15 according to an embodiment of the present invention may use a preset judgment algorithm to analyze the periodic spectrum energy, and as a result, the respiratory spectrum energy and the heartbeat spectrum energy may be obtained by distinction.

[0042] Furthermore, the Doppler signal analysis unit 15 according to an embodiment of the present invention can understand the type of non-periodic spectrum energy using the auxiliary signal obtained by the auxiliary signal processing unit 13. As an example, the Doppler signal analysis unit 15 can use thermal imaging information to obtain the non-periodic spectrum energy of the user's turning over (body movement), and judge the obtained non-periodic spectrum energy as a noise signal, and remove it from the sleep interval analysis data described later.

[0043] Alternatively, as another example, the Doppler signal 15 may define a preset energy size capable of distinguishing between body movement and snoring using auxiliary signals obtained by a noise sensor and a thermal imaging sensor without defining a preset energy size for distinguishing between the two movements using non-periodic spectrum energy.

[0044] According to an embodiment of the present invention, the Doppler signal analysis unit 15 continuously obtains the spectrum energy of a specific frequency component. If the determination of whether periodicity occurs is completed, the sleep interval definition unit 17 uses the analysis result to define the sleep state of each interval in the entire sleep interval.

[0045] The entire sleep interval may include at least one of a sleep entry interval, a deep sleep interval, a turning over interval, an apnea interval, and a snoring interval. The sleep entry interval refers to the interval in which the user enters sleep, and is an interval that can be used to determine whether sleep has entered or not in almost all users according to statistics. Alternatively, the deep sleep interval refers to a sleep interval in which the user's body activities are stably maintained, and the turning over interval refers to a sleep interval in which there is movement in the user's body activities. In addition, the apnea interval refers to a sleep interval in which no breathing activity occurs in the user's body activities, and the snoring interval refers to a sleep interval in which snoring occurs in the user's body activities.

[0046] The higher the ratio of deep sleep intervals in the sleep intervals and the lower the ratio of the remaining intervals, the higher the sleep quality. Therefore, by defining each sleep interval in the present invention, the sleep quality information of the corresponding user can be obtained. Moreover, the information can be used to provide a prescription corresponding to the sleep quality for each user later.

[0047] The sleep interval definition unit 17 can define the sleep state of each interval in the entire sleep interval using the analysis result of the Doppler signal analysis unit 15. As described above, each interval in the entire sleep interval includes at least one of a sleep entry interval, a deep sleep interval, a tossing interval, an apnea interval, and a snoring interval. The sleep interval definition unit 17 obtains the analysis result from the Doppler signal analysis unit 15, and uses a preset state judgment standard to confirm which sleep interval the corresponding analysis result belongs to.

[0048] The preset state judgment standard can be a preset value using the ratio of the respiratory spectrum energy to the heartbeat spectrum energy obtained by the Doppler signal analysis unit 15. As described above, since the magnitude of the body activity occurring under normal breathing movements is greater than the magnitude of the body activity occurring under heartbeat movements, the magnitude of the respiratory spectrum energy in a stable sleep interval appears to be greater than the magnitude of the heartbeat spectrum energy. Alternatively, high-frequency vibrations may be captured in the snoring interval, and additional spectra other than the respiratory spectrum energy and the heartbeat spectrum energy may appear. Furthermore, no respiratory movement or weak respiratory movement occurs in the no-breathing interval, so the magnitude of the respiratory spectrum energy may be reduced to the magnitude of the heartbeat spectrum energy.

[0049] The sleep interval definition unit 17 of an embodiment of the present invention may define an interval in which the ratio of the respiratory spectrum energy to the heartbeat spectrum energy, ie, the spectrum ratio is greater than or equal to 5:5, as a deep sleep interval.

[0050] Alternatively, the sleep interval definition unit 17 may define an interval in which the non-periodic spectrum energy is less than or equal to a preset size in an interval in which the spectrum ratio is less than 5:5 as a snoring interval. If the non-periodic spectrum energy is not obtained within a preset time, the corresponding interval may be defined as an apnea interval.

[0051] In another embodiment of the present invention, the sleep interval definition unit 17 may define the sleep interval using the sleep entry interval in addition to the spectrum ratio. In the sleep entry interval, similar to the deep sleep interval, generally, there is no turning over, no breathing, and no snoring. Therefore, the sleep interval definition unit 17 of the present invention may first obtain the sleep entry interval, and determine the deep sleep interval based on the obtained sleep entry interval.

[0052] on the other hand, Figure 2 FIG. 1 is a flowchart of a method for determining a sleep state using a biological activity Doppler signal according to an embodiment of the present invention. Figure 1 The sleep state determination method using biological activity Doppler signals executed by a system of the present invention is described as an example, but the present invention is not limited to this.

[0053] The sleep state determination method 10 using the biological activity Doppler signal according to one embodiment of the present invention is installed in a space where the user lives and sleeps, such as a bedroom, and when the user falls asleep, the sleep can be monitored and the biological activity Doppler signal can be obtained, and the obtained Doppler signal can be analyzed and the user's sleep state can be defined. To this end, the present invention can use a biological activity measurement device using radar pre-installed in the above space. Figure 2 As shown, a sleep state determination method 10 using a biological activity Doppler signal according to an embodiment of the present invention may include a Doppler signal acquisition step S11, an auxiliary signal processing step S13, a Doppler signal analysis step S15 and a sleep interval definition step S17.

[0054] In the Doppler signal acquisition step S11, the Doppler signal acquisition unit acquires a Doppler signal including biological activity information from a radar installed in the user's sleeping space. The Doppler signal includes the user's breathing information (respiratory Doppler signal) and the user's heartbeat information (heartbeat Doppler signal). The Doppler signal can be defined as a signal including a Doppler frequency generated by the user's movement when the radar transmits radio waves to the user and the transmitted radio waves are returned. In one embodiment of the present invention, the respiratory Doppler signal and the heartbeat Doppler signal can be Doppler signals of the movement changes of body organs that are movable during breathing and body organs that are movable during heartbeat.

[0055] In the auxiliary signal processing step S13, an auxiliary biological activity information acquisition device also installed in the user's sleeping space is used to acquire an auxiliary signal, and the acquired auxiliary signal is analyzed to obtain information such as movement of other organs (turning over, etc.) or noise other than the user's breathing or heartbeat movement. To this end, in the auxiliary signal processing step S13, measurement results can be obtained from a thermal imaging sensor and a noise measurement sensor as the auxiliary biological activity information acquisition device. The thermal imaging sensor can be used to measure the user's body movement, and the noise measurement sensor can be used to measure the user's snoring sound.

[0056] In the auxiliary signal processing step S13, the thermal imaging sensor may be used to continuously obtain the contour information of the user's body. When the thermal imaging sensor is used to continuously obtain the contour information of the user's body, the contour information generated by the user's actions such as turning over can be obtained.

[0057] Alternatively, in the auxiliary signal processing step S13, the noise generated by the user's snoring may be measured using a noise measuring sensor and confirmed as an auxiliary indicator for determining whether the user is currently snoring.

[0058] The body contour information and noise information acquired in the auxiliary signal processing step S13 can be used in the Doppler signal analysis step S15 described later. For example, when the acquisition time information of the turning over action or snoring action represented as non-periodic spectral energy is used to acquire the non-periodic spectral energy in the Doppler signal analysis step S15, it can be used as auxiliary information for determining what kind of biological activity information the energy is.

[0059] In the Doppler signal analysis step S15, the Doppler signal acquired in the Doppler signal acquisition step S11 is analyzed to acquire spectrum energy at a preset period. The Doppler signal analysis step S15 applies a preset function to the Doppler signal to acquire spectrum energy, and analyzes the acquired spectrum energy according to a preset reference, so that the spectrum energy of the respiratory Doppler signal and the heartbeat Doppler signal, i.e., the respiratory spectrum energy and the heartbeat spectrum energy, can be acquired.

[0060] In one embodiment of the present invention, in the Doppler signal analysis step S15, a fast Fourier transform (FFT) can be used as a preset function to obtain spectral energy from the Doppler signal at a preset period. Fourier transform is a well-known function, which refers to a transformation that decomposes a signal sampled in time or space into time frequency or space frequency components. Using this function, the Doppler signal obtained at a preset period can be transformed into spectral energy of a specific frequency component in the Doppler signal analysis step S15.

[0061] After acquiring the spectral energy of a specific frequency component, the Doppler signal analysis step S15 according to an embodiment of the present invention confirms whether the acquired spectral energy of the specific frequency component is a periodically generated spectral energy. The Doppler signal analysis step S15 can continuously acquire the spectral energy of the acquired Doppler signal of a preset period, and determine whether the obtainable continuous spectral energy has periodicity. When it has periodicity, the corresponding spectral energy can be determined as the spectral energy of breathing or heartbeat, and when it does not have periodicity, the corresponding spectral energy can be determined as not the spectral energy of breathing or heartbeat.

[0062] The Doppler signal analysis step S15 can determine whether the non-periodic spectrum energy has an energy greater than a preset value, and if it has an energy greater than the preset value, the corresponding spectrum energy is determined to be the spectrum energy of the Doppler frequency generated by the user's body movement. Alternatively, if it has an energy less than or equal to the preset value, the corresponding spectrum energy is determined to be the spectrum energy of the Doppler frequency generated by the user's snoring.

[0063] Alternatively, according to an embodiment of the present invention, the Doppler signal analysis step S15 may use a preset judgment algorithm to analyze the periodic spectrum energy, and as a result, the respiratory spectrum energy and the heartbeat spectrum energy may be distinguished and acquired.

[0064] Furthermore, in the Doppler signal analysis step S15 according to an embodiment of the present invention, the auxiliary signal obtained in the Doppler signal analysis step S15 can be used to understand the type of non-periodic spectrum energy. As an example, in the Doppler signal analysis step S15, thermal imaging information can be used to obtain the non-periodic spectrum energy of the user's turning over (body movement), and the obtained non-periodic spectrum energy is determined as a noise signal and removed from the sleep interval analysis data described later.

[0065] Alternatively, as another example, in the Doppler signal analysis step S15, without defining a preset size of energy for distinguishing between body movement and snoring using non-periodic spectrum energy, an auxiliary signal obtained by a noise sensor and a thermal imaging sensor can be used to define a preset size of energy that can distinguish between the two movements.

[0066] According to an embodiment of the present invention, in the Doppler signal analysis step S15, the spectrum energy of a specific frequency component is continuously obtained. If the judgment on whether the periodicity is generated is completed, the analysis result is used in the sleep interval definition step S17 to define the sleep state of each interval in the entire sleep interval.

[0067] The entire sleep interval may include at least one of a sleep entry interval, a deep sleep interval, a turning over interval, an apnea interval, and a snoring interval. The sleep entry interval refers to the interval in which the user enters sleep, and is an interval that can be used to determine whether sleep has entered or not in almost all users according to statistics. Alternatively, the deep sleep interval refers to a sleep interval in which the user's body activities are stably maintained, and the turning over interval refers to a sleep interval in which there is movement in the user's body activities. In addition, the apnea interval refers to a sleep interval in which no breathing activity occurs in the user's body activities, and the snoring interval refers to a sleep interval in which snoring occurs in the user's body activities.

[0068] The higher the ratio of deep sleep intervals in the sleep intervals and the lower the ratio of the remaining intervals, the higher the sleep quality. Therefore, by defining each sleep interval in the present invention, the sleep quality information of the corresponding user can be obtained. Moreover, the information can be used to provide a prescription corresponding to the sleep quality for each user later.

[0069] In the sleep interval definition step S17, the analysis result of the Doppler signal analysis step S15 can be used to define the sleep state of each interval in the entire sleep interval. As described above, each interval in the entire sleep interval includes at least one of a sleep entry interval, a deep sleep interval, a turning over interval, an apnea interval, and a snoring interval. In the sleep interval definition step S17, the analysis result is obtained from the Doppler signal analysis step S15, and the preset state judgment standard is used to confirm which sleep interval the corresponding analysis result belongs to.

[0070] The preset state judgment standard can be a preset value using the ratio of the respiratory spectrum energy to the heartbeat spectrum energy obtained in the Doppler signal analysis step S15. As described above, since the magnitude of the body activity occurring under normal breathing movements is greater than the magnitude of the body activity occurring under heartbeat movements, the magnitude of the respiratory spectrum energy in a stable sleep interval appears to be greater than the magnitude of the heartbeat spectrum energy. Alternatively, high-frequency vibrations may be captured in the snoring interval, and additional spectra other than the respiratory spectrum energy and the heartbeat spectrum energy may appear. Furthermore, no respiratory movement or weak respiratory movement occurs in the no-breathing interval, so the magnitude of the respiratory spectrum energy may be reduced to the magnitude of the heartbeat spectrum energy.

[0071] In the sleep interval definition step S17 of an embodiment of the present invention, an interval in which the ratio of respiratory spectrum energy to heartbeat spectrum energy, ie, a spectrum ratio greater than or equal to 5:5, may be defined as a deep sleep interval.

[0072] Alternatively, in the sleep interval definition step S17, the interval in which the non-periodic spectrum energy is less than or equal to a preset size in the interval in which the spectrum ratio is less than 5:5 can be defined as a snoring interval. If the non-periodic spectrum energy is not obtained within a preset time, the corresponding interval can be defined as an apnea interval.

[0073] In another embodiment of the present invention, in the sleep interval definition step S17, in addition to the spectrum ratio, the sleep entry interval can also be used to define the sleep interval. In the sleep entry interval, similar to the deep sleep interval, there is usually no turning over, no breathing, and no snoring. Therefore, in the sleep interval definition step S17 of the present invention, the sleep entry interval can be first obtained, and the deep sleep interval can be determined based on the obtained sleep entry interval.

[0074] on the other hand, Figure 3 A diagram showing the results of an actual simulation experiment using an embodiment of the present invention. Figure 3 , the entire sleep interval can be represented as A. The B interval is the sleep entry interval as described above. According to statistics, most users enter sleep in the interval between 10 minutes and 40 minutes, and the average is 20 minutes to 30 minutes when the user actually starts sleeping. The C interval is a stable sleep interval, that is, a deep sleep interval, D is a snoring interval, E is a tossing interval, and F is a no breathing interval.

[0075] Interval C is a stable deep sleep interval, at which time the size of the respiratory spectrum energy a1 is sufficiently larger than the size of the heartbeat spectrum energy b1. Moreover, from the periodicity of the spectrum energy, it can be seen that the spectrum energy does not contain irregular peaks and repeats in a regular period. Therefore, in one embodiment of the present invention, this sleep interval can be defined as a deep sleep interval. At this time, as described above, in the present invention, the situation where the ratio of the respiratory spectrum energy a1 to the heartbeat spectrum energy b1 is greater than or equal to 5:5 is defined as a deep sleep interval. In another embodiment, an interval with a periodicity greater than or equal to a preset similarity and an energy less than or equal to a preset size based on interval B (sleep entry interval) can be defined as a deep sleep interval.

[0076] The D interval is a snoring interval. Although the magnitude of the respiratory spectrum energy a2 is greater than the magnitude of the heartbeat spectrum b2, a snoring spectrum energy c2 that does not appear in other intervals is further detected. It can be seen that high-frequency spectrum energy, such as C2, with a frequency higher than the respiratory / heartbeat frequency is detected in the D interval. Therefore, the sleep interval definition unit and the sleep interval definition step of the present invention can define the D interval as a snoring interval in which the user is in a snoring state.

[0077] The F interval is a anesthetic interval, in which the magnitude of the respiratory spectrum energy a3 is similar to the magnitude of the heartbeat spectrum energy b3. More specifically, the ratio of the respiratory spectrum energy a to the heartbeat spectrum energy b3 is less than 5:5, and unlike the D interval, it is an interval in which the snoring spectrum energy c2 is not detected. This is because, in the process of using radar to obtain Doppler signals, the user's body respiratory activity is weak or non-existent, resulting in a significant reduction in the magnitude of the acquired respiratory spectrum energy a3. Therefore, Figure 3 As shown in the spectrum analysis results of the F interval, when comparing the size of the respiratory spectrum energy a3 and the size of the heartbeat spectrum energy b3, if the ratio is less than 5:5, the F interval can be defined as a apnea interval in the sleep interval definition unit and the sleep interval definition step according to one embodiment of the present invention.

[0078] The E interval is an interval where turning over occurs, and at this time, a spectrum energy of a higher magnitude is obtained compared to the spectrum energy detected in the B, C, D, F intervals, etc. This is because a biological activity with much higher energy than the respiratory spectrum energy or the heartbeat spectrum energy occurs, and in the present invention, this biological activity is analyzed as turning over.

[0079] In summary, Figure 1 and Figure 2 The system and method use radar to obtain Doppler signals of the user's biological activities, wherein the breathing spectrum energy and the heartbeat spectrum energy are used to define the sleep state according to each sleep interval. The experimental results are as follows Figure 3 As shown, Figures 1 to 3 The present invention described in the foregoing has the effect of being able to confirm the sleep state of a user and use the confirmed sleep state to respond to an emergency or provide content for improving the sleep quality of the user.

[0080] Although one embodiment of the present invention is described above, the spirit of the present invention is not limited to the embodiment given in this specification, and those skilled in the art who understand the spirit of the present invention can easily derive other embodiments by adding, changing, deleting, and adding components within the same spirit, but this will also be considered to be within the spirit of the present invention.

Claims

1. A sleep state determination system using biological activity Doppler signals, characterized in that: include: A Doppler signal acquisition unit that uses radar to acquire Doppler signals including biological activity information; Auxiliary signal processing unit, using thermal imaging sensors and noise sensors to obtain turning over movements and snoring noises as auxiliary signals; a Doppler signal analysis unit that analyzes the Doppler signal and obtains spectrum energy at a preset period, determines whether the spectrum energy is obtained periodically, and when the spectrum energy is determined to be non-periodic spectrum energy, uses the auxiliary signal to distinguish the non-periodic spectrum energy; and The sleep interval definition unit defines the sleep state of each interval in the entire sleep interval using a ratio of the respiratory spectrum energy to the heartbeat spectrum energy in the spectrum energy and a combination of the non-periodic spectrum energy.

2. The sleep state determination system using biological activity Doppler signals according to claim 1, wherein: The Doppler signal includes a respiratory Doppler signal for acquiring the user's respiratory information and a heartbeat Doppler signal for acquiring the user's heartbeat information.

3. The sleep state determination system using biological activity Doppler signals according to claim 2, wherein: The Doppler signal analysis unit performs fast Fourier transform on the Doppler signal to obtain the spectrum energy.

4. The sleep state determination system using biological activity Doppler signals according to claim 3, wherein: The sleep interval definition unit defines the interval in which the ratio of the respiratory spectrum energy to the heartbeat spectrum energy in the entire sleep interval is greater than or equal to 5:5 and the non-periodic spectrum energy does not exist as a deep sleep interval, and defines the interval in which the ratio of the respiratory spectrum energy to the heartbeat spectrum energy is less than 5:5 and the non-periodic spectrum energy does not exist as an apnea interval.

5. The sleep state determination system using biological activity Doppler signals according to claim 4, wherein: The sleep interval definition unit defines an interval in which the non-periodic spectrum energy exists and is greater than or equal to a preset value as a turning interval, and defines an interval in which the non-periodic spectrum energy is less than or equal to a preset value in the apnea interval as a snoring interval.

6. A sleep state determination system using biological activity Doppler signals, characterized in that: include: A Doppler signal acquisition unit that uses radar to acquire Doppler signals including biological activity information; Auxiliary signal processing unit, using thermal imaging sensors and noise sensors to obtain turning over movements and snoring noises as auxiliary signals; a Doppler signal analysis unit that analyzes the Doppler signal and obtains spectrum energy at a preset period, determines whether the spectrum energy is obtained periodically, and when the spectrum energy is determined to be non-periodic spectrum energy, uses the auxiliary signal to distinguish the non-periodic spectrum energy; and The sleep interval definition unit defines the sleep state of the remaining sleep intervals using a preset ratio range and the non-periodic spectrum energy based on an average of the spectrum energy of the sleep entry intervals that meet a preset reference in the entire sleep interval.

7. A method for determining a sleep state using a biological activity Doppler signal, characterized in that: include: a Doppler signal acquisition step in which a Doppler signal acquisition unit acquires a Doppler signal including biological activity information using a radar; Auxiliary signal processing step: the auxiliary signal processing unit uses a thermal imaging sensor and a noise sensor to obtain turning over motion and snoring noise as auxiliary signals; a Doppler signal analysis step, wherein a Doppler signal analysis unit analyzes the Doppler signal and obtains spectrum energy at a preset period, determines whether the spectrum energy is obtained periodically, and when the spectrum energy is determined to be non-periodic spectrum energy, uses the auxiliary signal to distinguish the non-periodic spectrum energy; and In the sleep interval definition step, the sleep interval definition unit defines the sleep state of each interval in the entire sleep interval using a ratio of the respiratory spectrum energy to the heartbeat spectrum energy in the spectrum energy and a combination of the non-periodic spectrum energy.

8. The method for determining a sleep state using a biological activity Doppler signal according to claim 7, wherein: The Doppler signal includes a respiratory Doppler signal for acquiring the user's respiratory information and a heartbeat Doppler signal for acquiring the user's heartbeat information.

9. The method for determining a sleep state using a biological activity Doppler signal according to claim 8, wherein: In the Doppler signal analysis step, a fast Fourier transform is performed on the Doppler signal to obtain the spectrum energy.

10. The method for determining a sleep state using a biological activity Doppler signal according to claim 9, wherein: In the sleep interval definition step, the interval in which the ratio of the respiratory spectrum energy to the heartbeat spectrum energy in the entire sleep interval is greater than or equal to 5:5 and the non-periodic spectrum energy does not exist is defined as a deep sleep interval, and the interval in which the ratio of the respiratory spectrum energy to the heartbeat spectrum energy is less than 5:5 and the non-periodic spectrum energy does not exist is defined as an apnea interval.

11. The method for determining a sleep state using a biological activity Doppler signal according to claim 10, wherein: In the sleep interval definition step, an interval in which the non-periodic spectrum energy exists and the non-periodic spectrum energy is greater than or equal to a preset value is defined as a turning over interval, and an interval in the apnea interval in which the non-periodic spectrum energy is less than or equal to a preset value is defined as a snoring interval.

12. A method for determining a sleep state using a biological activity Doppler signal, characterized in that: include: a Doppler signal acquisition step in which a Doppler signal acquisition unit acquires a Doppler signal including biological activity information using a radar; Auxiliary signal processing step: the auxiliary signal processing unit uses a thermal imaging sensor and a noise sensor to obtain turning over motion and snoring noise as auxiliary signals; a Doppler signal analysis step, wherein a Doppler signal analysis unit analyzes the Doppler signal and obtains spectrum energy at a preset period, determines whether the spectrum energy is obtained periodically, and when the spectrum energy is determined to be non-periodic spectrum energy, uses the auxiliary signal to distinguish the non-periodic spectrum energy; and In the sleep interval definition step, the sleep interval definition unit defines the sleep state of the remaining sleep intervals using a preset ratio range and the non-periodic spectrum energy based on the average of the spectrum energy of the sleep entry intervals that meet a preset reference in the entire sleep interval.

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