KR20120045661A - Arraratus and method determining quality of sleep - Google Patents

Abstract

PURPOSE: An apparatus and method for determining quality of sleep are provided to improve the health of a user by determining and outputting the quality of sleep according to bio information. CONSTITUTION: A sensor unit(11) measures an original signal including a heartbeat signal, a respiratory signal, and a movement signal. A respiratory rate measuring unit(12) measures a respiratory rate from the respiratory signal. A heartbeat measuring unit(13) measures a frequency of an amplitude variation amount as a heartbeat. A movement number measuring unit(14) measures a movement number. A control unit(17) determines the quality of sleep according to a preset value. An output unit(15) outputs the determination result.

Description

Sleep quality determination device and method {ARRARATUS AND METHOD DETERMINING QUALITY OF SLEEP}

The present invention relates to an apparatus and method for determining the quality of sleep, and more particularly to an apparatus and method for determining the quality of sleep by simply measuring the user's biometric information while the user is sleeping.

Recently, as the quality of life is improved and the aging population is rapidly progressing, the interest in health is increasing day by day as the desire for disease-free longevity grows. There are many ways to maintain and improve your health, including exercise and diet, but it's important to take good care of your sleep, which is about 25% of the time. For this reason, researches to improve sleep quality have been actively conducted in recent years.

In order to improve the quality of sleep, analysis of sleep conditions must be preceded. You can maintain a healthy body by analyzing the user's sleep status and documenting and systematically managing it. In order to analyze the sleep state, it is basic to measure various bio information such as the number of breaths during sleep, heart rate, movement (backward rotation), and sleep time.

However, mobilizing medical equipment to measure biometric information such as respiratory rate or heart rate is cumbersome, and it is accompanied by inconvenience such as attaching to the body for biometric information measurement. In this case, the cumbersome and discomfort associated with measuring the biometric information to improve the quality of sleep may result in the quality of sleep.

An object of the present invention for solving the above problems is to sleep sleep to determine the quality of sleep by simply measuring the biometric information on at least one of the respiratory rate, heart rate and movement through the non-adhesive sensor while the user sleeps To provide a quality determination apparatus and method.

In particular, the present invention provides a sleep quality determining apparatus and method for more accurately and objectively determining a sleep quality of a user by detecting a heart rate more accurately from a signal including biometric information of a user measured by a sensor.

Sleep quality determination apparatus according to an embodiment of the present invention according to the magnitude and frequency of the pressure applied by the user to the heartbeat signal of the user's heart rate, the breathing signal for the user's breathing and the movement of the user A sensor unit measuring an original signal including at least one of the motion signals; A respiratory rate measurement unit for detecting the respiratory signal from the original signal and measuring respiratory rate from the detected respiratory signal; A heart rate for matching the phase of the original signal and the detected respiratory signal, detecting the heart rate signal from a difference between the original signal and the detected respiratory signal whose phases are matched, and measuring a heart rate from the detected heart rate signal Measuring unit; A motion number measuring unit detecting the motion signal from the original signal and measuring the number of motions from the detected motion signal; A controller configured to determine sleep quality according to a predetermined value using at least one of the measured heart rate, respiratory rate, and movement number; And an output unit configured to output a result of sleep quality determined by the controller.

Sleep quality determination method according to an embodiment of the present invention according to the magnitude and frequency of the pressure applied by the user to the sensor unit heart rate signal for the user's heart rate, breathing signal for the user's breathing and the user's movement A biometric information measuring step of measuring an original signal including at least one of a motion signal for a; A respiratory rate measuring step of detecting the respiratory signal from the original signal by a respiratory rate measuring unit and measuring a respiratory rate from the detected respiratory signal; The heart rate measuring unit matches the phase of the original signal and the detected respiratory signal, detects the heart rate signal from the difference between the original signal and the detected respiratory signal whose phase is matched, and calculates a heart rate from the detected heart rate signal. Measuring heart rate; A motion number measuring step of detecting the motion signal from the original signal by a motion number measuring unit and measuring the number of motions from the detected motion signal; A sleep quality determining step of determining a sleep quality according to a predetermined value using at least one of the measured heart rate, respiration rate, and movement number by a control unit; And an output step of outputting a result of sleep quality determined by the controller to an output unit.

According to the inventor's sleep quality determination apparatus and method, the user can easily measure the biometric information on at least one of the respiratory rate, heart rate and the number of movements through the non-adhesive sensor during sleep, and by the measured biometric information By determining and outputting sleep quality according to a predetermined value and providing the same to the user, the user has an advantage of improving the health of the user by systematically managing the sleep method through the result of the sleep quality.

1 is a block diagram of an apparatus for determining sleep quality according to an embodiment of the present invention;
2 is a view schematically showing an apparatus for determining sleep quality according to an embodiment of the present invention;
3 is a block diagram of an apparatus for determining sleep quality according to an embodiment of the present invention;
4 is a diagram showing an original signal including a respiratory signal and a heartbeat signal;
5 is a chart showing an amplitude change signal for a heartbeat signal and a heartbeat signal;
6 is a diagram showing a heartbeat signal, a peak signal and a valley signal of the heartbeat signal;
7 is a bar graph showing peaks for measuring a heart rate signal and heart rate;
8 is a flowchart illustrating a method of determining sleep quality according to an embodiment of the present invention.

In the following description of the present invention, detailed descriptions of well-known functions or configurations will be omitted if it is determined that the detailed description of the present invention may unnecessarily obscure the subject matter of the present invention. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention.

1 is a block diagram of an apparatus for determining sleep quality according to an embodiment of the present invention.

As shown in FIG. 1, the apparatus for determining sleep quality according to an embodiment of the present invention includes a sensor unit 11, a respiratory rate measuring unit 12, a heart rate measuring unit 13, and a motion measuring unit 14. And a control unit 17 and an output unit 15.

The sensor unit 11 includes at least one of a heartbeat signal for the user's heartbeat, a breathing signal for the user's breathing, and a motion signal for the user's movement according to the magnitude and frequency of the pressure applied by the user. Measure the original signal. According to an embodiment of the present invention, the sensor unit 11 may be formed of a piezoelectric element (piezo element) for outputting by varying the magnitude of the voltage according to the applied pressure. The sensor unit 11 measures the heart rate, the respiratory rate, and the number of movements, and converts the same into an analog signal. The analog signal is converted into a digital signal by an analog-to-digital converter (not shown).

The respiratory rate measuring unit 12 detects the respiratory signal from the original signal, and measures the respiratory rate from the detected respiratory signal. Since the respiration signal is composed of low frequency components compared to the heart rate signal, it can be detected through a low pass filter. The respiratory rate may be measured by counting how many peaks having an amplitude or more per unit time from the detected respiration signal.

The heart rate measuring unit 13 detects the heart rate signal from the original signal, and measures the heart rate from the detected heart rate signal. The heart rate measuring unit 13 may detect the heart rate signal by subtracting the detected respiration signal from the original signal. Alternatively, the heart rate measuring unit 13 may detect the heart rate signal from the original signal through a high pass filter through which the respiration signal cannot pass from the original signal. The heart rate measuring unit 13 may measure the heart rate by counting how many peaks having an amplitude equal to or greater than a predetermined value per unit time from the detected heart rate signal. However, since the heartbeat signal has a smaller amplitude than the breathing signal, the discrimination power against the noise is not excellent. Therefore, an embodiment for more accurately measuring the heart rate from the heartbeat signal will be described in detail below.

The motion measuring unit 14 detects the motion signal from the original signal. The motion signal is irregularly generated compared to the respiration signal and the heartbeat signal, and the amplitude is also relatively large. Therefore, a peak position having an amplitude equal to or greater than a predetermined value from the original signal is designated as the point in time at which the movement occurs, and the number of movements is measured according to how many peaks per hour exist. On the other hand, it is not easy to detect the breathing signal and the heartbeat signal in the original signal at the time when the movement occurs. Accordingly, it is easy to measure the respiratory rate and the heart rate by detecting the respiratory signal and the heartbeat signal from the time point when the movement ends, without detecting the respiratory signal and the heartbeat signal in the original signal portion at the time when the movement occurs.

The controller 17 determines sleep quality according to a predetermined value by using at least one of the measured heart rate, respiration rate, and movement number. Determination of sleep quality using at least one of the heart rate, respiration rate, and movement rate will be described in detail below.

The output unit 15 outputs the result of the sleep quality determined by the control unit 17. The output unit 15 may inform the user of the determined sleep quality by voice, image, or touch. Therefore, the output unit 15 may be made of at least one of a speaker, a displayer, or a tactile device that allows a user to feel the touch, and may also be formed of a plurality of combinations. When the output unit 15 is a display, the output unit 15 may be formed in various ways such as a light emitting diode (LED), a liquid crystal display (LCD), and an organic luminescence display (EL).

The sleep quality determined by the controller 17 may be output so that the user can directly recognize the output through the output unit 15, which may be further included in the device, but may be transmitted and output to an external device such as a PC. have.

2 is a view schematically showing an apparatus for determining sleep quality according to an embodiment of the present invention.

As shown in Figure 2, the sleep quality determination apparatus according to the present invention may be made in the form of a general bed. In addition, the sleep quality determining apparatus according to the present invention includes all devices to support the human body such as chairs, sofas, electric blankets in addition to the general bed to allow the user to sleep.

The sensor unit 11 may be attached to a part where the human body contacts the device in the sleep quality determining apparatus according to the present invention. The sensor unit 11 is attached to the device non-adhesive to the human body so that the user can sleep comfortably without feeling any inconvenience. When the device is made of a bed, it can be arranged on the upper surface of the bed to support and contact the human body. In addition, even when the device has a different shape, the sensor unit 11 may be disposed on a surface capable of detecting pressure by contacting a human body.

In FIG. 2, the sensor unit 11 is disposed substantially parallel to a plurality of rows, but may be arranged in various forms. That is, the sensor unit 11 may be uniformly or non-uniformly disposed on one surface of the sleep quality determining apparatus. The sensor unit 11 may be disposed on a plurality of surfaces other than one surface of the sleep quality determining apparatus, as long as the user's sleep is a part capable of detecting pressure due to breathing, heart rate, and movement.

3 is a block diagram of an apparatus for determining sleep quality according to an embodiment of the present invention.

As shown in FIG. 3, the apparatus for determining sleep quality according to an embodiment of the present invention may further include a storage unit 16. In addition to the storage unit 16, the user can manage the health for a longer period of time by storing and managing the data on the sleep quality determined from the control unit 17 on a daily, weekly or monthly basis There is an advantage. In addition, the sleep quality data may be transmitted from the control unit 17 to an external device such as a PC, and may also be systematically stored and managed on a daily, weekly or monthly basis. In addition, the data on the quality of sleep transmitted to the external device may be a user through the health care server, so that the user can be consulted by a health professional, such as a doctor.

4 to 7 are diagrams for describing embodiments of measuring heart rate by minimizing the influence of noise from the detected heart rate signal.

4 is a diagram illustrating an original signal including a respiration signal and a heartbeat signal.

The original signal 41 shown in FIG. 4 is a signal sampled at 100 Hz and passed through a 2.5 Hz low frequency IIR filter (Infinite Impulse Response Filter). When the user sleeps in support of the device, such as lying or sitting on the device according to the present invention, the sensor includes the breathing signal 43 and the heartbeat signal 42 due to the user's breathing and heart rate. The signal 41 is output. As shown in FIG. 4, the original signal 41 includes a heartbeat signal 42, which is a high frequency component, and a respiration signal 43, which is a low frequency component. In order to measure the heart rate and the respiratory rate of the user, it is necessary to separately detect the heart rate signal 42 and the respiration signal 43 from the original signal 41. A band pass filter may be used to separate the heartbeat signal 42 and the breathing signal 43. That is, in order to detect the heartbeat signal 42 from the original signal 41, the original signal 41 is filtered using a high frequency band pass filter corresponding to the frequency band of the heartbeat signal 42. In addition, in order to detect the respiration signal 43 from the original signal 41, the original signal 41 is filtered using a low frequency bandpass filter corresponding to the respiration signal 43 frequency band. In this way, the heart rate is measured from the heartbeat signal 42 separated from the original signal 41, and the breathing rate is measured from the breathing signal 43.

However, as shown in FIG. 4, since the heartbeat signal 42 of the original signal 41 has a relatively small amplitude compared to the respiration signal 43, the heartbeat signal 42 is different from the noise signal ripple introduced from the outside. Not easy Therefore, as the noise signal and the heartbeat signal 42 are precisely separated, the heart rate of the user can be measured more accurately. Hereinafter, an embodiment for measuring the heart rate more accurately from the heartbeat signal 42 without affecting the noise will be described.

5 is a diagram illustrating a heartbeat signal and an amplitude change signal with respect to the heartbeat signal.

As described above, since the heartbeat signal 42 detected from the original signal 41 contains noise components, it is difficult to reliably distinguish whether the signal is caused by heartbeat. Therefore, in one embodiment of the present invention, the heart rate is measured through an amplitude change signal 51 representing an amplitude change of the heartbeat signal 42 in order to clarify the difference between the pure heartbeat signal and the noise component.

FIG. 6 is a diagram showing the heartbeat signal 42, the peak signal 61 and the valley signal 62 of the heartbeat signal. In the chart of the heartbeat signal 42, an upward peak is called a peak point, and the downward peak is defined as a valley point. The embodiment according to FIG. 6 describes a method of obtaining an amplitude change signal that further clarifies the difference between the pure heartbeat signal and the noise component. The peak signal 61 is a line connecting the neighboring peak points by a line, and the valley signal 62 is a line connecting the neighboring valley points by a line. Then, the amplitude change signal is obtained using the difference between the peak signal 61 and the valley signal 62. In this case, the amplitude change signal may be obtained by matching the positions of the peak points 61 and the feature points of the valley signal 62 (the peak of the peak signal or the valley of the valley signal).

7 is a chart showing peaks for measuring heart rate from the heart rate signal 42. For each peak in the heartbeat signal 42, a bar graph 71 is displayed as shown by reference numeral 71. At this time, as shown in FIG. 7, the time interval between the bar graphs 71 is not constant, and a peak value due to noise exists. The heart rate signal may also be represented by multiple peaks. Therefore, it is necessary to distinguish between multiple peaks and noise components that can be mistaken for heartbeat signals. To this end, the peak values are sequentially detected to determine whether the interval between the peak values detected immediately before is greater than or equal to a predetermined time interval (for example, 0.4 seconds), and if the interval is greater than or equal to the predetermined interval, the heart rate is determined. If the time is less than, the small peak is removed from the two peak values, and then the peak value is sequentially detected again from the position of the detected peak, and the number of peaks per hour is measured by heart rate. Alternatively, after detecting peaks in the amplitude change signal, a maximum peak among the peaks within the predetermined time interval is selected to measure the number of the maximum peaks as a heart rate. The predetermined time interval takes into account the minimum heartbeat period of the human body, and may be variously set in addition to the 0.4 second example.

Hereinafter, the operation of the sleep quality determining apparatus for determining sleep quality using the measured respiration rate, heart rate, and movement number will be described in detail.

When the user lie down or sit down and supports the sleep quality determining device, and when the original signal including breathing signal, heart rate signal and movement signal is output from the sensor, the time of sleep is completed and the time is released from the device (weather time) Is defined as the total sleep time. The total sleep time is made up of the pure sleep time during sleep (from the start of sleep to the time when the sleep is completed) and the sleep latency time which is the time from entering the sleep supported by the device.

The user supports the body to the device and continues several movements (backwards) until pure sleep, wherein the sleep latency time occurs from the time the user lies in bed for a predetermined time (about 10 minutes). Say until you don't. The pure sleep time is defined as the time from the end of the sleep latency time to the weather time. The time at which the user wakes up (the time when sleep is completed) is determined as the time at which the original signal is output at a value equal to or less than a predetermined amplitude for a predetermined time after the heavy movement of the user.

On the other hand, whether or not the user's movement during sleep is determined by whether the amplitude of the original signal measured from the sensor unit 11 while taking a sleep becomes a predetermined value or more. When movement occurs, a value other than respiration and heart rate is transmitted. In this case, the amplitude of the original signal is relatively large compared to the amplitude of the original signal including only the respiration signal and the heart rate signal. In general, humans change their body posture about 20 to 60 times during sleep. Therefore, the movement of the user becomes an important factor in determining the quality of sleep, and in the present invention, the quality of sleep is determined by using the number of movements through various embodiments.

If the sleep time and wake up time are not constant, the user unconsciously feels anxious, and the quality of sleep of the user is considerably degraded. Therefore, if the sleep time and the wake-up time is determined and provided to the user, the user can take a more comfortable sleep by reflecting it in the life pattern, which is an important factor in determining the sleep quality of the user. In one embodiment of the present invention, the ratio of pure sleep time to total sleep time is determined as the sleep quality determining element (S1). This is expressed as Equation 1 below.

Here, Sp represents the pure sleep time, and Stt represents the total sleep time.

The pure sleep time is composed of a rapid eye movement (REM) time and a deep sleep (Non-REM) time. Shallow sleep refers to the sleep stage, which does not seem to respond to the surrounding environment, but decreases sensation and reflexes, but can wake up and take a unique sleep posture.

Shallow sleep appears at about 90-minute intervals, about 4 to 6 times overnight, and lasts 10 minutes to 1 hour each. Deep sleep means a sleep state other than the shallow sleep of the pure sleep. On average, deep sleep accounts for 20% of pure water, and the transition from shallow to deep sleep accounts for 50% of pure water. Since the 50% transition time is not easily distinguished into deep or shallow sleep, it is divided into deep or shallow sleep by dividing at an appropriate time interval (for example, by 1: 1 time).

Comparing the deep sleep time and the shallow sleep time, first, the muscle tension is markedly lowered in the shallow sleep state, but in the deep sleep state, only a slight decrease or only a temporary sharp decrease occurs. In terms of heart rate, the heart rate in the shallow state of sleep increases in an irregular and disorganized manner, but decreases in the deep state of sleep. In terms of respiratory rate, in shallow sleep conditions, the respiratory rate increases in an unregular and disturbed fashion, but decreases in deep sleep conditions. In terms of blood pressure, it is not regular and disturbed in the shallow state of sleep, but decreases in the deep state of sleep. In addition, sweating does not appear in shallow sleep, but may also occur in deep sleep.

In the embodiments of the present invention, the respiratory rate and the heart rate are used to distinguish between the deep sleep time and the shallow sleep time, but are not limited thereto. In an embodiment of the present invention, when the respiratory disorder is disturbed (the amplitude change of the respiration signal is severe) than in the deep sleep state, and the respiratory rate increases by 20 to 30%, it is determined as the shallow sleep time during which the shallow sleep state is maintained. In another embodiment of the present invention, when the heart rate is disturbed (the amplitude change of the heartbeat signal is severe) than in the deep sleep state, and the heart rate is increased by 20 to 30%, it is determined as the shallow sleep time during which the shallow sleep state continues. .

According to an embodiment of the present invention, using the breathing rate or heart rate to determine the deep sleep time, which is the time for the user to take a deep sleep, and determine the sleep quality of the ratio of the determined deep sleep time to the pure sleep time The element S2 is determined. This may be expressed as Equation 2 below.

Here, Snr represents the deep sleep time (Non-REM), and Sp represents the pure sleep time. Equation 2 is based on the fact that the quality of sleep deteriorates when the ratio of deep sleep time to pure sleep time is lowered to 50% or less. That is, this sleep quality determining element (S2) has a value of 1 collectively when the ratio is 50% or more, and when the ratio is less than 50%, it is determined according to the ratio of deep sleep time and pure sleep time.

Apnea is when the airway is completely blocked during sleep and the breathing stops for more than 10 seconds or more than 5 times per hour or more than 30 times for 7 hours. Snoring is a symptom that is caused by the sound of the surrounding fluid area shaking as the air flows through the narrowed airways, not completely stopping breathing. Snoring is also a type of apnea. Apnea can be obtained using the respiratory rate measured by the sensor unit 11.

Abnormal breathing refers to abnormal breathing rate. Abnormal breathing includes poor breathing, western breathing, hyperventilation and dyspnea. When the respiratory rate is more than 24 times per minute, it is called an empty breathing state. This symptom occurs in an emotional state such as excitement or fear. Hyperventilation is when the respiratory rate is more than 30 to 50 times per minute, and this symptom occurs with respiratory disease (eg bronchial or asthma), anemia, weakness, bleeding, exercise or increased body temperature. When the respiratory rate is less than 10 times per minute is called a West Respiratory state, this symptom is caused by an increase in intracranial pressure and high doses of sedatives or drugs. Increased respiratory rate due to other airway lung disease, metabolic, cerebral encephalopathy is called dyspnea.

The controller 17 determines whether apnea and abnormal breathing are performed according to the predetermined value using the breathing rate. In this specification, the time for which the apnea and abnormal breathing are sustained is defined as the awakening time. That is, the awakening time is the sum of the apneas and abnormal breaths showing the respiratory rate outside the predetermined respiratory rate range. In addition, since awakening is caused by apnea and abnormal breathing, the number of awakenings can be determined from apnea and abnormal breathing. In addition, the arousal may be determined by the movement caused by apnea and abnormal breathing, so that the number of the arousal may be determined using the movement number. In an embodiment of the present invention, the wake-up time is applied in minutes, and the sum of the wake-up times and the wake-up time minus the pure sleep time is a percentage of the sleep quality determinant of sleep quality (S3). ) In other words, the relationship between the awakening time (Sat), the awakening frequency (Saf), the pure sleep time (Sp) and the sleep quality determining element (S3) is expressed by the following equation (3).

On the other hand, the quality of sleep greatly depends on what kind of sleep you were in right after waking up (just before sleep). Generally, waking up in a shallow state of sleep can improve sleep quality than waking up in a deep state of sleep. Therefore, according to an embodiment of the present invention, after determining whether a person is in a shallow sleep state during waking using the respiratory rate, heart rate, or a combination of the respiratory rate and heart rate, and imposing a predetermined value in the case of a shallow sleep state during waking, It is determined by the quality determining element (S4). For example, the predetermined value is set to 1 when waking up in a shallow sleep state, and set to 0 when waking up in a non-shallow sleep state as a quality determining factor of sleep. This may be expressed as Equation 4 below.

Further, according to an embodiment of the present invention, the quality of sleep may be calculated as a score by combining the sleep quality determining factors described above. That is, the controller 17 obtains the first element S1 as a ratio of the pure sleep time to the total sleep time, and in this case, the total sleep time is lying or leaning on the device by the user. A second time (S2) as a ratio of the deep sleep time to the pure sleep time, the sum of the sleep latency time, which is the time from the time the original signal is output to the time of sleep Determining the awakening time that is the sum of the apnea and abnormal breathing showing the respiratory rate outside the predetermined respiratory rate range using the respiratory rate, and determines the number of awakenings caused by the apnea and abnormal breathing, The third element (S3) is obtained by the ratio of the pure sleep time minus the awakening time and the awakening frequency to the pure sleep time, and determines whether the sleep state is shallow when the sleep is completed. And determine a fourth element (S4) having a value of 1 when the shallow sleep state. Subsequently, the controller 17 sets predetermined weights for the obtained first element S1, the second element S2, the third element S3, and the fourth element S4, and adds them to the water surface. Determine the quality of

According to an embodiment of the present invention, the predetermined weight is 20, 30, 20 for the first element S1, the second element S2, the third element S3, and the fourth element S4, respectively. And 30, the sleep quality P is determined as shown in Equation 5 below.

8 is a flowchart illustrating a method of determining sleep quality according to an embodiment of the present invention.

As shown in Figure 8, in the biometric information measuring step (S81) according to the magnitude and frequency of the pressure applied by the user to the sensor unit 11 heart rate signal for the user's heart rate, breathing for the user's breathing An original signal including at least one of a signal and a motion signal of the user's movement is measured. According to an embodiment of the present invention, the sensor unit 11 may be formed of a piezoelectric element (piezo sensor).

In the respiratory rate measuring step (S82), the respiratory rate measuring unit detects the respiratory signal from the original signal and measures the respiratory rate from the detected respiratory signal.

In the heart rate measuring step (S83), a phase of the original signal and the detected respiratory signal are matched with a heart rate measuring unit, and the heart rate signal is detected from a difference between the original signal and the detected respiratory signal whose phase is matched, The heart rate is measured from the detected heart rate signal.

In the motion measuring step (S84), the motion measuring unit detects the motion signal from the original signal, and measures the motion number from the detected motion signal.

In the sleep quality determining step (S85), the control unit determines the sleep quality according to a predetermined value using at least one of the measured heart rate, respiration rate, and movement number.

In the output step (S85) outputs the result of the sleep quality determined by the control unit to the output unit.

According to an embodiment of the present invention, the heart rate measurement step (S83) measures the number of times the amplitude change amount is greater than or equal to a predetermined value from the amplitude change signal consisting of the amplitude change amount of the detected heart rate signal to the heart rate measuring unit.

In another embodiment of the present invention to obtain the peak signal connecting the peaks of the heart rate signal in the heart rate measurement step (S83), and to obtain a valley signal connecting the valleys of the heart rate signal, the peak signal and The amplitude change signal is obtained using the difference of the valley signals.

Further, according to another embodiment of the present invention, after detecting peaks in the amplitude change signal in the heart rate measurement step (S83), the maximum peaks are selected from the peaks within a predetermined time interval, and the number of the maximum peaks is determined. Measure your heart rate.

According to an embodiment of the present invention, the sleep quality determination step (S85) determines the deep sleep time which is the time for the user to take a deep sleep according to a predetermined value from the measured heart rate or respiratory rate to the controller, The pure sleep time, which is the time that the user sleeps, is determined according to a predetermined value from the measured number of movements, and according to a predetermined value from at least one of the heart rate, the respiratory rate, the movement number, the deep sleep time, and the pure sleep time. Determine your sleep quality.

In addition, an embodiment of the present invention according to the embodiment according to Figure 8, the total sleep time in the sleep quality determination step (S85) is the user is lying or leaning on the device the original signal from the sensor unit 11 It is made up of the sum of the sleep latency time and the pure sleep time, which is the time from the output point to the time of sleep, wherein the control unit is expressed as the ratio of the pure sleep time Sp to the total sleep time Stt. According to Equation 1, the sleep quality is determined as an element S1.

Furthermore, an embodiment of the present invention is an embodiment according to FIG. 8, which is expressed as a ratio of the deep sleep time Snr to the pure sleep time Sp to the controller in the sleep quality determination step S85. According to the equation (2) to be used as an element (S2) for determining the quality of sleep.

In addition, in one embodiment of the present invention, in the sleep quality determination step (S85), the apnea and abnormality showing a respiratory rate other than a predetermined respiratory range using the respiratory rate as the control unit in the embodiment according to FIG. 8. Determination of the awakening time, which is the sum of breaths, determines the number of awakenings caused by apnea and abnormal breathing, and is expressed as the ratio of the pure sleep time minus the awakening time and the awakening frequency. According to the above equation (3) is the element (S3) for determining the quality of sleep.

In addition, according to an embodiment of the present invention, in the embodiment of FIG. 8, in the determining of the quality of sleep (S85), it is determined whether the sleep state is shallow when the sleep is completed, and in the case of the shallow sleep state, a predetermined value is obtained. Use it as a determinant of sleep quality.

One embodiment of the present invention determines the quality of sleep by combining the factors that determine the quality of sleep in the above embodiments. That is, in the sleep quality determining step (S85), the first element S1 is obtained as the ratio of the pure sleep time to the total sleep time, and in this case, the total sleep time is determined by the user lying down or leaning on the device. It is made up of the sum of the sleep latency time and the pure sleep time, which is the time from the time point at which the original signal is output from the sensor unit 11 to the time of sleep, and the deep sleep time to the pure sleep time. Determining the two factors (S2), using the respiratory rate to determine the awakening time that is the sum of the apnea and abnormal breathing showing a respiratory rate outside the predetermined respiratory rate range, and the number of awakenings caused by the apnea and abnormal breathing The third element (S3) is determined by the ratio of the pure sleep time minus the awakening time and the awakening frequency to the pure sleep time. Determining whether Taein and obtains a fourth element (S4) having a value of 1 when the shallow sleep state. The quality of sleep is determined by adding predetermined weights to the first element S1, the second element S2, the third element S3, and the fourth element S4.

According to another embodiment of the present invention, in the above embodiment, predetermined weights for the first element S1, the second element S2, the third element S3, and the fourth element S4 are 20, The quality of sleep P is determined according to Equation 5 by using 30, 20, and 30.

While the invention has been shown and described with reference to certain preferred embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined not only by the claims below, but also by those equivalent to the claims.

Claims (24)

A sensor for measuring an original signal including at least one of a heartbeat signal for the user's heartbeat, a breathing signal for the user's breathing, and a motion signal for the user's movement according to the magnitude and frequency of pressure applied by the user part;
A respiratory rate measurement unit for detecting the respiratory signal from the original signal and measuring respiratory rate from the detected respiratory signal;
A heart rate for matching the phase of the original signal and the detected respiratory signal, detecting the heart rate signal from a difference between the original signal and the detected respiratory signal whose phases are matched, and measuring a heart rate from the detected heart rate signal Measuring unit;
A motion number measuring unit detecting the motion signal from the original signal and measuring the number of motions from the detected motion signal;
A controller configured to determine sleep quality according to a predetermined value using at least one of the measured heart rate, respiratory rate, and movement number; And
Sleep quality determination apparatus comprising an output unit for outputting a result of the sleep quality determined by the control unit.
The method of claim 1,
And said sensor portion is made of a piezoelectric element.
The method of claim 1,
And the heart rate measuring unit measures the number of times the amplitude change amount is greater than or equal to a predetermined value from the amplitude change signal including the amplitude change amount with respect to the detected heart rate signal as the heart rate.
The method of claim 3,
The heart rate measuring unit obtains a peak signal connecting peaks of the heartbeat signal, obtains a valley signal connecting valleys of the heartbeat signal, and obtains the amplitude change signal using the difference between the peak signal and the valley signal. Sleep quality determination device.
The method of claim 3,
The heart rate measuring unit detects peaks in the amplitude change signal, selects the peaks among the peaks within a predetermined time interval, and measures the number of the peaks as a heart rate.
The method of claim 1,
The controller determines a deep sleep time, which is a time when the user takes a deep sleep according to a predetermined value from the measured heart rate or respiration rate, and a time when the user sleeps according to a predetermined value from the measured number of movements. The sleep quality determination device, characterized in that for determining the sleep quality according to a predetermined value from at least one of the heart rate, respiratory rate, movement number, deep sleep time and pure sleep time.
The method of claim 6,
The total sleep time is made up of the sum of the sleep latency time and the pure sleep time, which is a time from when the user lies down or leans on the device to the time when the original signal is output from the sensor unit and goes to sleep,
The control unit may be represented by the following equation expressed as the ratio of the pure sleep time to the total sleep time

The quality of sleep is determined, wherein Sp represents the pure sleep time, and Stt represents the total sleep time.
The method of claim 6,
The control unit is represented by the following equation expressed as the ratio of the deep sleep time to the pure sleep time

The quality of sleep is determined, wherein Snr represents the deep sleep time, and Sp represents the pure sleep time.
The method of claim 6,
The control unit uses the respiratory rate to determine the awakening time that is the sum of the apnea and abnormal breathing showing a respiratory rate outside the predetermined respiratory rate range, and determines the number of awakenings caused by the apnea and abnormal breathing, The following equation is expressed as the ratio of the pure sleep time to the value obtained by subtracting the awakening time and the awakening frequency from the pure sleep time.

Sleep quality is determined, wherein Sp represents the pure sleep time, Saf represents the awakening frequency, and Sat represents the awakening time.
The method of claim 6,
The control unit determines whether the sleep is a shallow sleep state when the sleep is complete, sleep quality determination device, characterized in that for determining the sleep quality to a predetermined value in the shallow sleep state.
The method of claim 6, wherein the control unit,
Obtaining the first element (S1) as the ratio of the pure sleep time to the total sleep time, in which case the total sleep time is in the sleep from the time when the original signal is output from the sensor unit lying or leaning on the device It is made up of the sum of the sleep latency, which is the time until the lifting time, and the pure sleep time,
Obtaining a second element (S2) as the ratio of the deep sleep time to the pure sleep time,
Determination of the awakening time that is the sum of the apnea and abnormal breathing showing a respiratory rate other than the predetermined respiratory rate using the respiratory rate, determines the number of awakenings caused by the apnea and abnormal breathing, the pure sleep time The third element (S3) is obtained by the ratio of the pure sleep time minus the awakening time and the awakening frequency,
When the sleep is completed, it is determined whether or not the shallow sleep state, the following equation

Obtain the fourth element (S4) according to,
Sleep quality is determined by setting predetermined weights for the first element S1, the second element S2, the third element S3, and the fourth element S4, respectively, and adding them to determine sleep quality. Sleep quality determination device.
The method of claim 11,
The predetermined weights for the first element S1, the second element S2, the third element S3, and the fourth element S4 are 20, 30, 20, and 30, respectively.

Sleep quality determination device characterized in that for determining the quality of sleep.
The sensor unit measures an original signal including at least one of a heartbeat signal for the user's heartbeat, a breathing signal for the user's breathing, and a motion signal for the user's movement according to the magnitude and frequency of the pressure applied by the user. Measuring biometric information;
A respiratory rate measuring step of detecting the respiratory signal from the original signal by a respiratory rate measuring unit and measuring a respiratory rate from the detected respiratory signal;
The heart rate measuring unit matches the phase of the original signal and the detected respiratory signal, detects the heart rate signal from the difference between the original signal and the detected respiratory signal whose phase is matched, and calculates a heart rate from the detected heart rate signal. Measuring heart rate;
A motion number measuring step of detecting the motion signal from the original signal by a motion number measuring unit and measuring the number of motions from the detected motion signal;
A sleep quality determining step of determining a sleep quality according to a predetermined value using at least one of the measured heart rate, respiration rate, and movement number by a control unit; And
And an output step of outputting a result of sleep quality determined by the controller to an output unit.
The method of claim 13,
The biological information measuring step of the sleep quality determination method, characterized in that for measuring the original signal by the sensor unit consisting of a piezoelectric element.
The method of claim 13,
And measuring the number of times the amplitude change amount is greater than or equal to a predetermined value from the amplitude change signal comprising the amplitude change amount with respect to the detected heart rate signal in the heart rate measurement step.
16. The method of claim 15,
Obtaining a peak signal connecting the peaks of the heart rate signal in the heart rate measurement step, obtaining a valley signal connecting the valleys of the heart rate signal, to obtain the amplitude change signal using the difference between the peak signal and the valley signal Sleep quality determination method.
16. The method of claim 15,
And after detecting peaks in the amplitude change signal in the heart rate measurement step, selecting the maximum peaks among the peaks within a predetermined time interval, and measuring the number of the maximum peaks by heart rate.
The method of claim 13,
In the sleep quality determining step, the controller determines a deep sleep time, which is a time for the user to take a deep sleep according to a predetermined value from the measured heart rate or respiratory rate, and according to a predetermined value from the measured number of movements. Determining the pure sleep time that is the time that the user sleeps, and determines the sleep quality according to a predetermined value from at least one of the heart rate, respiratory rate, movement number, deep sleep time and pure sleep time How to determine your sleep quality.
The method of claim 18,
In the sleep quality determination step, the total sleep time is the sum of the sleep latency time and the pure sleep time, which is the time from when the user lies down or leans on the device to the time when the original signal is output from the sensor unit and goes to sleep. Done,
The following equation expressed by the controller as the ratio of the pure sleep time to the total sleep time

Sleep quality is determined, wherein Sp represents the pure sleep time, Stt represents the total sleep time.
The method of claim 18,
In the sleep quality determination step, the following equation expressed by the controller as the ratio of the deep sleep time to the pure sleep time

Sleep quality is determined, wherein Snr represents the deep sleep time, Sp represents the pure sleep time.
The method of claim 18,
In the sleep quality determination step, the controller uses the respiratory rate to determine the awakening time, which is the sum of apnea and abnormal respiration showing a respiratory rate other than a predetermined respiratory rate range, and is caused by the apnea and abnormal respiration. Determination of the number of awakening, the following equation expressed as the ratio of the pure sleep time to the value obtained by subtracting the awakening time and the number of awakening times

Sleep quality is determined, wherein Sp represents the pure sleep time, Saf represents the awakening frequency, and Sat represents the awakening time.
The method of claim 18,
The sleep quality determination method in the sleep quality determination step, the sleep quality is determined when the sleep is complete, and in the case of a shallow sleep state sleep quality determination method characterized in that to determine the sleep quality to a predetermined value.
19. The method of claim 18, wherein in the sleep quality determining step,
Obtaining the first element (S1) as the ratio of the pure sleep time to the total sleep time, in which case the total sleep time is in the sleep from the time when the original signal is output from the sensor unit lying or leaning on the device It is made up of the sum of the sleep latency, which is the time until the lifting time, and the pure sleep time,
Obtaining a second element (S2) as the ratio of the deep sleep time to the pure sleep time,
Determination of the awakening time that is the sum of the apnea and abnormal breathing showing a respiratory rate other than the predetermined respiratory rate using the respiratory rate, determines the number of awakenings caused by the apnea and abnormal breathing, the pure sleep time The third element (S3) is obtained by the ratio of the pure sleep time minus the awakening time and the awakening frequency,
When the sleep is completed, it is determined whether or not the shallow sleep state, the following equation

Obtain the fourth element (S4) according to,
Sleep quality is determined by setting predetermined weights for the first element S1, the second element S2, the third element S3, and the fourth element S4, respectively, and adding them to determine sleep quality. How to determine sleep quality.
The method of claim 23, wherein
The predetermined weights of the first element S1, the second element S2, the third element S3, and the fourth element S4 are 20, 30, 20, and 30, respectively. expression

Sleep quality determination method characterized in that the sleep quality.

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