JP2006167427A - Sleep information detection system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a sleep information detection system in which sleep information detection processing can be performed in a simple and easy manner. <P>SOLUTION: The sleep information detection system is equipped with: a breath sound physical quantity capturing part to capture physical quantity relating to breath sound from a breath sound detection part; and a during-sleep breath sound judgement part to judge breath sound during sleep based on the physical quantity relating to the breath sound captured by the breath sound physical quantity capturing part. The during-sleep breath sound judgement part is equipped with: a judgement value detection part to detect a judgement value of the physical quantity relating to the physical quantity for each of a plurality of frequency blocks obtained by dividing the physical quantity detected by the breath sound detection part based on the frequency; and a discrimination part to discriminate the breath sound of a person during sleep as at least one kind among the sleep-breath sound, snoring sound, and loud snoring sound. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a sleep information detection system that detects information related to breathing during sleep.

  In recent years, an increasing number of people are dissatisfied and anxious about sleep, such as lack of sleep. In particular, an increasing number of people are dissatisfied and anxious about sleep but do not even need to go to the hospital. Therefore, it is requested to deal with these people.

  Patent Document 1 includes a pressure receiving device that detects a snoring sound, a filter device that filters a signal of the pressure receiving device, a determination device that determines whether a signal from the filter device is a snoring sound by a numerical arithmetic device, and a determination device. And a determination output device that outputs a determination signal. Thereby, the snoring sound can be determined. In this device, snoring is detected by passing an analog signal detected by a microphone through a low-pass filter (10 kHz) and using an autocorrelation function.

In Patent Document 2, an analog signal detected by a microphone is allowed to pass only at a predetermined frequency, and those whose signal level is equal to or higher than a predetermined level are counted. To do.
Japanese Patent Laid-Open No. 7-184948 JP-A-7-13453

  There is a need in the industry for additional sleep information detection systems. The present invention has been made in view of the above circumstances, and it is an object of the present invention to provide a sleep information detection system that can be easily processed in determining at least one of sleep sound, snoring sound, and explosion sound. .

(1) The sleep information detection system according to the present invention of aspect 1 is based on a respiratory sound physical quantity capturing unit that captures a physical quantity related to respiratory sound from the respiratory sound detection unit, and a physical quantity related to respiratory sound that is captured in the respiratory sound physical quantity capturing unit. A sleep sound determination unit for determining breathing sound during sleep,
The sleep respiratory sound determination unit includes a determination value detection unit that detects a physical value determination value for each of a plurality of frequency blocks obtained by dividing the physical quantity acquired by the respiratory sound physical quantity acquisition unit based on the frequency, and a plurality of determination value detection units And an identification unit that identifies a breathing sound of a sleeping person as at least one of a sleep sound, a snoring sound, and an explosive sound based on a determination value in the frequency block.

  The respiratory sound determination unit during sleep divides the physical quantity captured by the respiratory sound physical quantity capturing unit into a plurality of frequency blocks divided based on the frequency, and determines a physical quantity determination value (for example, a peak value) related to the physical quantity for each of the plurality of frequency blocks. Ask. Then, based on the determination values in the plurality of frequency blocks of the determination value detection unit (for example, based on a comparison between the determination value and the reference value), the identification unit converts the breathing sound of a sleeping person into a sleep sound and a snoring sound. , Identified as at least one of the explosion sounds.

  (2) The sleep information detection system according to the second aspect of the present invention is based on a respiratory sound physical quantity capturing unit that captures a physical quantity related to respiratory sound from the respiratory sound detection unit, and a physical quantity related to respiratory sound captured by the respiratory sound physical quantity capturing unit. A sleep sound determination unit for determining breathing sound during sleep, and the breathing sound determination unit during sleep from the physical quantity captured by the respiratory sound physical quantity capturing unit (breathing sound per certain time) A breathing sound counting unit that counts at least one kind of snoring sound and explosive sound. The respiratory sound determination unit during sleep counts respiratory sounds during sleep (including at least one of sleep sound, snoring sound, and explosive sound) per certain time from the physical quantity detected by the respiratory sound detection unit.

  According to the sleep information detection system according to the aspect 1 of the present invention, the sleep breathing sound determination unit divides the physical quantity captured by the respiratory sound physical quantity capture unit into a plurality of frequency blocks divided based on the frequency, and the plurality of frequency blocks Each time a physical quantity judgment value is obtained. Then, the identification unit identifies the breathing sound of the sleeping person as at least one of sleep sound, snoring sound, and explosion sound based on the determination values in the plurality of frequency blocks of the determination value detection unit. Thus, the user can know information during sleep, and can cope with people who are dissatisfied and anxious about sleep such as lack of sleep.

  According to the sleep information detection system according to the first aspect of the present invention, the determination value in each frequency block represents a large number of physical quantities in each frequency block. Therefore, the number of data can be reduced, and the burden on the identification unit can be reduced.

  According to the sleep information detection system according to the aspect 2 of the present invention, the respiratory sound counting unit of the respiratory sound determination unit during sleep determines the respiratory sound (sleep sound, snoring sound) per certain time from the physical quantity captured by the respiratory sound physical quantity capturing unit. , Including at least one explosive sound). For this reason, the user can know information about the respiratory rate during sleep, and can cope with people who are dissatisfied and anxious about sleep such as lack of sleep.

  The sleep respiratory sound determination unit includes a determination value detection unit that detects a physical value determination value for each of a plurality of frequency blocks obtained by dividing the physical quantity acquired by the respiratory sound physical quantity acquisition unit based on the frequency, and a plurality of determination value detection units And an identification unit that identifies a breathing sound of a sleeping person as at least one of a sleep sound, a snoring sound, and an explosive sound based on a determination value in the frequency block.

  Here, the determination value of the physical quantity is a peak value of the physical quantity, and the determination value detection unit may be a peak value detection unit that detects the peak value of the physical quantity in each frequency block. This is because the peak value is easy to detect. In general, the peak value can be the maximum value of the physical quantity in each frequency block, but in some cases, it can be the second highest peak value or the third highest peak value. Or an average of physical quantities.

  According to a preferred embodiment of the present invention, the identification unit of the sleep sound determination unit during sleep compares the determination value and the reference value in the plurality of frequency blocks of the determination value detection unit, and based on the comparison, A form that identifies the breathing sound as at least one of sleep sound, snoring sound, and explosion sound can be adopted. In this case, the discrimination process is simple.

  In many cases, sleep sound such as sleep sound has different frequency information, amplitude, and the like due to individual differences. Although it is conceivable to adopt a gradual standard that is accepted by everyone as a determination standard, in this case, it may be erroneously detected as sleep information data even though it is noise. In view of this, the sleep breathing sound determination unit can adopt a form including a reference value update unit that updates the reference value based on the physical quantity related to the respiratory sound captured by the respiratory sound physical quantity capturing unit. In this way, if the reference value is updated according to the user, a reference value such as a sleep sound reference value suitable for each user can be provided instead of a uniformly set reference value such as a sleep sound reference value. It is possible to improve the detection accuracy of sleep information suitable for each user. As the reference value update unit, a mode is adopted in which an average value of physical quantities in a specific frequency region (for example, 1 Hz or less) selected by the filter unit is obtained and this average value is updated as a reference value such as a sleep sound reference value. it can.

  The present inventor has found that human respiratory sounds often have characteristics in a specific frequency region (for example, 2 kHz to 4 kHz). Therefore, by sampling the audio data at a specific frequency period (for example, 10 kHz) including the frequency region and performing frequency analysis, specific frequency information (for example, a frequency region of 0 to 5 kHz including 2 kHz to 4 kHz) is obtained. The form to acquire can be employ | adopted. In this case, data in a specific (for example, 0 to 5 kHz) frequency region is divided into a plurality (M) of frequency blocks, and a determination value (preferably a peak value, more preferably a maximum value) representing each frequency block is used. As a result, the number of data over a specific range (for example, 0 to 5 kHz) can be reduced to a plurality (M), so that the burden on the identification unit can be reduced.

  In addition, the respiratory sound determination unit during sleep analyzes a physical quantity obtained by subtracting background noise from the physical quantity related to the respiratory sound, and adopts a form that identifies the respiratory sound during sleep as at least one of sleep sound, snoring sound, and explosion sound can do. In this specification, the snoring sound refers to a normal snoring sound, and the explosive sound refers to a loud sound among the snoring sounds. The sleep breathing sound determination unit may be a method for identifying only the sleep sound, a method for identifying only the snoring sound, a method for identifying only the snoring sound, or a method for identifying the sleep sound and the snoring sound. A system for identifying snoring sounds and explosion sounds, or a system for identifying sleep sounds and explosion sounds may be used.

  According to a preferred embodiment of the present invention, the sleep breathing sound determination unit includes a background noise registration unit that registers background noise, and a background noise subtraction unit that subtracts the registered background noise from the physical amount related to the breathing sound to obtain a second physical quantity. And an identification unit that identifies a breathing sound generated by a sleeping person as at least one of a sleep sound, a snoring sound, and an explosive sound based on the second physical quantity can be employed. The background noise can be captured, for example, before sleep introduction or immediately after sleep introduction, but may be captured during sleep. If it is before sleep introduction or just after sleep introduction, since a person's breathing sound is small, it is advantageous to avoid confusion with the breathing sound.

  According to a preferred embodiment of the present invention, the sleep sound determination unit during sleep has a frequency component lower than a predetermined frequency and / or a frequency component higher than another predetermined frequency among the audio signals detected by the respiration sound detection unit. The form which has the filter part which cuts can be illustrated. This avoids or reduces false detection.

  According to the present invention, after detecting the maximum values of all the frequency blocks, it is possible to adopt a mode in which the maximum values of all the frequency blocks are respectively passed through the filter units to reduce noise related to sounds other than sleep sounds. . In this case, each physical quantity detected in a plurality of frequency blocks is passed through a filter unit (for example, 1 Hz or less is allowed to pass). As a result, noise is removed, and only a physical quantity of a periodic stable sleep sound is extracted.

  In addition, the sleep breathing sound determination unit sets a frequency block having the maximum physical quantity average value in each frequency block as a test block among the plurality of frequency blocks. It is possible to select a maximum block having the maximum physical quantity from among the blocks and adopt a form for identifying at least one of sleep sound, snoring sound, and explosion sound when the maximum block corresponds to the inspection block. it can. In this case, when the maximum block does not correspond to the inspection block, it is possible to adopt a form in which at least one of the sleep sound, snoring sound, and explosion sound is not identified. Thereby, the detection accuracy of sleep information can be improved. This is because the frequency region where the maximum value of the physical quantity appears often corresponds to the sleep characteristics of the user.

  In addition, although it is not a breathing sound, it is preferable to remove noise having a frequency approximate to the breathing sound. During sleep, the breathing time is almost constant, and the breathing sound of a person does not last long. Therefore, a form in which the respiratory detection time TA during breathing is set as a parameter by the respiratory sound determination unit during sleep can be employed. In this case, when the respiration detection time TA is longer than the first set time (for example, 2 seconds), it is possible to adopt a means that estimates that the respiration sound is not detected even if it is detected as a respiration sound.

  Also, the interval between breaths is almost constant. Therefore, the sleep breathing sound determination unit sets the interval time TB between the breathing sound (including sleep sound, snoring sound, explosion sound) and the breathing sound (including sleep sound, snoring sound, explosion sound) as a parameter. Can be adopted. In addition, when the interval time TB is shorter than the second set time T2 (for example, 2 seconds), it is possible to employ a means that estimates that the sound is noise and does not determine it as a breathing sound even if it is detected as a breathing sound. Here, since a person's respiration is generally around 0.5 Hz, the respiration detection time is within 2 seconds, and the interval between respirations is about 2 seconds.

  That is, an example in which a breathing sound counting unit that counts breathing sounds per unit time (including at least one of sleep sound, snoring sound, explosive sound) from the physical quantity captured by the breathing sound physical quantity capturing unit is illustrated. it can. In the respiration rate counting unit, the time TA from the generation of sound related to breathing to the end thereof is within the first set time T1, and the time TB from the time of sound generation related to breathing to the time of sound generation related to the next breath is calculated. When the time is equal to or longer than the second set time T2, it is possible to adopt a mode for determining as a breathing sound. The first set time T1 and the second set time T2 can be appropriately set as necessary. The first set time T1 can be set to, for example, about 1 to 3 seconds, about 1.5 to 2.5 seconds, particularly 2 seconds. The second set time T2 can be set to, for example, about 1.5 to 10 seconds, about 1.7 to 5 seconds, particularly 3 seconds. It is preferable to include a set time setting unit that variably sets the first set time T1 and the second set time T2. In consideration of human breathing sound, for example, T1 = T2 and T1≈T2.

  Preferably, the sleep breathing sound determination unit includes an apnea determination unit that determines that an apnea state is present during sleep based on information related to the breathing of the person determined by the sleep breathing sound determination unit. A form can be adopted. In apnea syndrome, there are symptoms that breathing stops for a while and breathing resumes with an explosion, and that there are many snoring sounds per unit time. The apnea determination unit can adopt a form in which an apnea state is determined by detecting a breathing stop time or the like.

  According to the preferable form which concerns on this invention, the display part which displays the information of the sound regarding the breath of the person determined by the breathing sound determination part during sleep is provided. Therefore, the user can know information generated by the living body during sleep. Examples of this information include identification of breathing sounds such as sleep sounds, snoring sounds, and explosion sounds, changes in breathing, and presence / absence of apnea. Therefore, the user can know information related to respiratory information during sleep (for example, apnea syndrome). As the display unit, a method of visually displaying or aurally displaying can be adopted, and an LED, a liquid crystal device, an EL panel, and the like can be exemplified.

  The sleep information detection system according to the present invention can be provided on a base. The substrate may be of any type as long as it can mount a sleep information detection system, and may be of a type installed stationary in the bedroom, or of a movable type movable to the bedroom. The base can be any of a bed device, an alarm clock, an illumination lamp device, and furniture. As the bed apparatus, a bed apparatus in which a person normally sleeps may be used, or a care bed may be used. The alarm clock may be independent from the bed device or may be integrated into the bed device. As an illuminating lamp apparatus, what is installed in the vicinity of bedding is preferable. The furniture is preferably installed in the vicinity of the bedding, and examples thereof include a table, a bookcase, a chest, a dressing table, and the like.

  The breathing sound detection unit is exemplified by a sound collecting microphone unit that picks up sound while being separated from the body, but is not limited thereto, and may be a contact sensor attached to the body. As the sound collecting microphone means, one having high sound collecting directivity can be used. As the sound collecting microphone means, a form in which the sound collecting direction can be adjusted can be exemplified. If the sound collection direction can be adjusted in this way, it is possible to cope with a person who tends to sleep on one side of the bedding with a sleeper or the like during sleep.

  Embodiment 1 of the present invention will be specifically described below with reference to FIGS. The non-contact type sleep information detection apparatus 2 according to the present embodiment is equipped with a sleep information detection system and is incorporated in a bed apparatus 1 that functions as a bedroom installation apparatus installed in a bedroom. As shown in FIG. 1, the bed apparatus 1 includes a bed main body 10 as a base, and a head board 12 as a head portion provided on the bed main body 10 and facing a human head. The bed main body 10 has a bedding contact surface 11 on which a bedding MA such as a mat or a futon is placed in contact. Here, a bedroom means a space where people sleep, and a person in a bedroom in a house, a bedroom in a building, a bedroom in a hotel or an inn such as a hotel or an inn, or a vehicle such as a car or railroad car, a hull, or an airplane. A space where people sleep.

  The non-contact type sleep information detecting apparatus 2 according to the present embodiment is mounted on the head board 12 of the bed apparatus 1 and includes an input processing circuit, a microcomputer, a memory, and an output processing circuit. FIG. 2 shows an algorithm of the non-contact type sleep information detecting device 2. As shown in FIG. 2, a sound collection microphone 20 having sound collection directivity that functions as a breathing sound detection unit attached to the headboard 12 of the bed apparatus 1 and a sleep breathing sound attached to the headboard 12 of the bed apparatus 1. And a determination unit 22. In this way, the sound pickup microphone 20 is attached to the headboard 12 (head side member) of the bed apparatus 1, faces the head of the person sleeping on the bedding MA, and the person sleeping on the bedding MA It is provided so that the respiration sound can be collected effectively.

  As shown in FIG. 2, the sleep breathing sound determination unit 22 cuts a frequency component lower than a predetermined frequency and a frequency component higher than another predetermined frequency from the audio signal input to the sound collection microphone 20. A filter unit 23, an amplifier unit 24 that amplifies the sound signal captured by the sound collection microphone 20, a sampling unit 25 that samples at a predetermined frequency (for example, 10 kHz) to obtain a predetermined number of samples (for example, 64), A frequency analysis unit 26 that performs frequency analysis (FFT analysis) in a predetermined frequency region (0 to 5000 Hz), an averaging unit 27 that averages data analyzed a plurality of times (for example, twice) by the frequency analysis unit 26, and sleep The background noise registration unit 28 (corresponding to a memory) for registering background noise immediately before introduction or immediately after sleep introduction, and the registered background noise are subtracted from physical quantities related to respiratory sounds. The background noise subtracting unit 29 for obtaining frequency information as the second physical quantity and the frequency information are divided into a plurality of frequency blocks (8 frequency blocks), and the maximum value (determination value) of the physical quantity (voltage value) is determined for each frequency block. The sleep sound is discriminated for each of the maximum value detectors 31 to 38 (corresponding to frequency blocks) functioning as a plurality of determination value detectors to be detected and the plurality of maximum value detectors 31 to 38 divided in the frequency domain. A snoring discrimination means 41, a snoring discrimination means 42 for discriminating snoring sounds with respect to each of the plurality of maximum value detection sections 31 to 38 divided in the frequency domain, and a plurality of maximum value detection sections 31 divided in the frequency domain. Explosion sound discriminating means 43 for discriminating explosion sounds for each of .about.38 and a breathing sound for counting breathing sounds per unit time (including sleep sound, snoring sound, explosion sound) from frequency information. A und portion 44, and a display unit 50 for displaying information about the identified human breath sounds.

  The plurality of maximum value detection units 31 to 38 constitutes a maximum value detection unit 30. The sleep determination unit 41, the snoring determination unit 42, and the explosion sound determination unit 43 constitute an identification unit 4 that identifies a breathing sound as a sleep sound, a snoring sound, and an explosion sound. Here, the above-described background noise means noise other than the breathing sound that can be heard in the bedroom. In the present embodiment, the background noise is captured once before sleep introduction or immediately after sleep introduction, and is registered in a memory built in the non-contact type sleep information detection device 2.

  As shown in FIG. 2, the display unit 50 includes a first display unit 51 that indicates the frequency of a sleep sound, a snoring sound, and an explosion sound, a second display unit 52 that indicates the frequency of the snoring sound, and a breathing sound per predetermined time ( And a third display unit 53 that displays the number of counts (including sleep sound, snoring sound, and explosion sound). The first display unit 51 includes a first display element 511, a second display element 512, and a third display element 513. The first display element 511 indicates that an explosion sound has been detected more than Na times in the measurement time. The second display element 512 indicates that the explosion sound is less than the Na number in the measurement time, and the snoring sound is detected Nb times or more. The third display element 513 indicates that the explosion sound is less than Na times and the snoring sound is less than Nb times. Examples of Na and Nb are 100.

  The second display unit 52 includes a fourth display element 524, a fifth display element 525, and a sixth display element 526. The fourth display element 524 indicates that the snoring sound is detected by Wa% (60%) or more of the measurement time. The fifth display element 525 indicates that the snoring sound is detected less than Wb% (10 to 60%) of the measurement time. The sixth display element 526 indicates other elements. An LED or the like can be used as the display element.

  3 to 5 show the analysis results of 1/3 octave 3D for a specific person. 3 to 5, the horizontal axis represents frequency, and the vertical axis represents time. On the axis orthogonal to both the vertical axis and the horizontal axis, a voltage value indicating the sound intensity is shown as a color. FIG. 3 shows the analysis result of the sleep sound. As shown in FIG. 3, in the case of a sleep sound, generally, the output voltage value pulsates in a frequency range of 250 Hz to 4 kHz, and periodicity is recognized. In the case of a sleep sound, there are generally few pulses of 250 Hz or less. FIG. 4 shows the analysis result of the snoring sound. As shown in FIG. 4, in the case of a snoring sound, generally, a pulse-like amplitude is recognized in a region of a frequency of 63 Hz to 16 kHz, and periodicity is recognized. In the case of snoring sounds, there are many pulses of 1 kHz or less, particularly 250 Hz or less. FIG. 5 shows the analysis result of human body movement. Since a pulse of sound is generated non-rhythmically during human body movement, periodicity is not recognized so much, and body movement is discriminated against sleep sound and snoring sound.

Table 1 shows physical quantity (voltage value) indices that distinguish sounds related to breathing into sleep sounds, snoring sounds, and explosive sounds. As shown in Table 1, for each of a plurality (eight), a sleep sound reference value (voltage value) serving as a threshold for determining a sleep sound, and a snoring sound reference value (voltage value) serving as a threshold for determining a snoring sound An explosion sound reference value (voltage value) is defined as a threshold value for explosion sound discrimination. For example, in the region of 0-625 Hz which is the first frequency block, if it is V ₁₂ (10 mV) or more, it is determined as a snoring sound, and if it is V ₁₃ (20 mV) or more, it is determined as an explosion sound. In the region of 625 Hz to −1250 Hz that is the second frequency block, if it is V ₂₂ (10 mV) or more, it is determined as a snoring sound, and if it is V ₂₃ (20 mV) or more, it is determined as an explosion sound. In the third frequency block, which exceeds 1250 Hz and −1875 Hz, if it is V ₃₃ (20 mV) or more, it is determined as an explosion sound. In the region of 1875 Hz to −2500 Hz which is the fourth frequency block, if it is V ₄₃ (20 mV) or more, it is determined as an explosion sound. In the fifth frequency block of 2500 Hz to −3125 Hz, if it is V ₅₁ (15 mV) or more, it is determined as a sleep sound, if it is V ₅₂ (50 mV) or more, it is determined as a snoring sound, and if it is V ₅₃ (100 mV) or more. Judged as an explosive sound. In this region, if V ₅₃ (100 mV) or more, it is determined as a sleep sound, snoring sound, and explosion sound, respectively, but it is determined as an explosion sound that generates a louder sound.

Further, in the region of 3125 Hz exceeding −3750 Hz which is the sixth frequency block, if it is V ₆₁ (15 mV) or more, it is determined as a sleep sound, and if it is V ₆₂ (50 mV) or more, it is determined as a snoring sound, and V ₆₃ (100 mV) or more. If there is any explosion sound Further, in the region of 3750 Hz exceeding −4375 Hz which is the seventh frequency block, if it is V ₇₁ (15 mV) or more, it is determined as a sleep sound, and if it is V ₇₂ (50 mV) or more, it is determined as a snoring sound, and V ₇₃ (10 mV) or more. If there is any explosion sound In the region of 4385 Hz exceeding −5000 Hz, which is the eighth frequency block, if it is V ₈₃ (10 mV) or more, it is determined as an explosion sound. If the sleep sound is determined, the sleep sound flag is set from 0 to 1. If it is determined as a snoring sound, the snoring sound flag is set from 0 to 1. If it is determined that there is an explosion sound, the explosion sound flag is set from 0 to 1.

Note that the reference values in () such as V ₁₁ , V ₁₂ , V ₁₃ , V ₁₂ , V ₂₁ , V ₂₂ , V _23, etc. in Table 1 above are not limited to the above values. It can be changed as appropriate.

FIG. 6 shows a count index of the breathing sound counting unit 44 that counts breathing sounds (including sleep sound, snoring sound, and explosion sound) per unit time. In FIG. 6, Pr (rise) indicates the rise of flags (sleep sound flag, snore sound flag, explosive sound flag) that are set when breathing sounds are generated. Pf (fall) indicates the fall of this flag. In this embodiment, when both of the following conditions (i) and (ii) are satisfied, the sound is counted as a breathing sound (including a sleep sound, a snoring sound, and an explosion sound). When both conditions (i) and (ii) are not satisfied, it is handled as noise other than breathing sound (including sleep sound, snoring sound, explosion sound).
(I) The time from the generation of sound related to breathing to the end thereof, that is, the time TA from the rise Pr to the fall Pf is within the first set time T1 (for example, 2 seconds).
(Ii) The time from the generation time of the sound related to breathing to the generation time of the sound related to the next breath, that is, the interval time TB from the rising Pr to the next rising Pr is equal to or longer than the second set time T2 (for example, 2 seconds). One day.

  In FIG. 6, since pulses P1 and P2 satisfy both (i) and (ii), they are counted as breathing sounds. Although the pulse P3 satisfies (i) but does not satisfy (ii), the respiration rate is no count. Although the pulse P4 does not satisfy (ii) with respect to the no-count pulse P3, but satisfies the condition (ii) with respect to the counted pulse P2, as a result, as a result of (i) (ii) Both will be satisfied and counted as breathing rate. Although the pulse P5 satisfies the condition (ii) with respect to the pulse P4 to be counted, the pulse P5 does not satisfy the condition (i).

  When both of the above conditions (i) and (ii) are satisfied, it is determined as a person's breathing sound (including sleep sound, snoring sound, explosion sound), counted as a breathing sound, and other than that The sound is determined not to be a breathing sound and is not counted. As a result, breathing sounds (including sleep sound, snoring sound, and explosion sound) per predetermined time are counted. With this index, sleep sounds, snore sounds, and explosion sounds are counted together. However, because the indices shown in Table 1 identify sleep sounds, snore sounds, and explosion sounds, if the time is matched, sleep sounds, snore sounds, Sounds and explosion sounds can be counted.

  FIGS. 7-10 shows the flowchart of the main routine which the microcomputer which the non-contact-type sleep information detection apparatus 2 mounts is performed. The processing of the flowchart is executed by turning on the switch. First, initial setting (step S2), voice data capturing process (step S4), sleep breathing sound identification process (step S6), breathing sound count process (step S8), and other processes (step S10) are sequentially performed. In order to make the processing time of one main routine constant, the process waits until a predetermined time elapses (step S12), and returns to step S4 when the predetermined time elapses.

  FIG. 8 shows a flowchart of the voice data capturing process executed by the sleep breathing sound determination unit 22. The sound data capturing process can function as a respiratory sound physical quantity capturing unit that captures a physical quantity related to a person's respiratory sound from the sound collection microphone 20 serving as a respiratory sound detection unit. First, it is determined whether or not it is the first time (step S202). If it is the first time, background noise in the bedroom is captured from the sound collection microphone 20 (step S204). In this case, generally, since a person has just entered the bed apparatus 1 and the person has not been introduced to sleep, the sound that can be heard in the room is regarded as background noise. The background noise can be the sound of an air conditioner installed in the bedroom. Then, background noise frequency analysis is performed (step S206), and the background noise is registered in the memory (step S208). Next, the audio data is sampled and captured (step S210). Next, frequency analysis is performed on the audio data (step S212). The above-described audio data capturing (step S210) and frequency analysis (step S212) are performed a plurality of times (step S214). Next, the data of a plurality of times are averaged (step S216). Next, background noise is subtracted from the audio data (step S218), and the process returns to the main routine. Thereby, noise due to background noise is reduced or avoided, and the identification accuracy of breathing sound is increased.

  FIG. 9 shows a flowchart of the sleep respiratory sound identification process executed by the sleep respiratory sound determination unit 22. First, the frequency information is divided into a plurality of frequency blocks (8 frequency blocks) for each frequency domain, and the maximum value of the physical quantity (voltage value) related to the sound intensity is extracted as a representative value of each frequency block for each of the plurality of frequency blocks. (Step S602). Then, the maximum value in the frequency block to be determined first is compared with the reference value of the sleep sound shown in Table 1 (step S604). If it is not determined to be a sleep sound, the sleep sound flag is set to 0 (step S606). If the sleep sound flag is 0, it means that none of the sleep sound, snoring sound, or explosion sound has been determined.

  If it is determined in step S604 that the sound is a sleep sound, the maximum value is compared with the reference value of the snoring sound (step S608). If it is not determined as a snoring sound in step S608, it is determined as a sleep sound and the sleep sound flag is set to 1 (steps S610 and S612). Here, that the sleep sound flag is 1 means that the sound is determined to be a sleep sound. If it is determined in step S608 that the sound is a snoring sound, the maximum value is compared with the reference value of the explosion sound shown in Table 1 (step S614). If it is not determined as an explosion sound, it is determined as a snoring sound, and the snoring sound flag is set to 1 (steps S616 and S618). Here, that the snoring sound flag is 1 means that it is determined to be a snoring sound. If it is determined as YES in step S614, it is determined as an explosion sound, and the explosion sound flag is set to 1 (steps S620 and S622). Here, the explosion sound flag being 1 means that the explosion sound is determined.

  Then, it is determined whether each of the frequency blocks in the frequency domain is a sleep sound, a snoring sound, or an explosive sound (step S630). Further, it is determined whether or not all the frequency blocks have been completed (step S632). If all the frequency blocks have not been completed, a process of proceeding to the next frequency block is performed (step S634), and the process returns to step S604.

  Hereinafter, similarly, it is determined whether all frequency blocks are sleep sound, snore sound, or explosive sound. If the processing has been completed for all frequency blocks, it is comprehensively identified whether the breathing sound at this time point is a sleep sound, a snoring sound, or an explosive sound (step S636), and the process returns to the main routine. In this case, in steps S630 and 636, priority is given to the one with larger sound amplitude. That is, when the sleep sound, snoring sound, and explosion sound flags are each 1, it is determined that the sound amplitude is larger than that of the snoring sound. When the sleeping sound and snoring sound flags are 1, respectively, it is determined that the sound has a larger amplitude than that of the sleeping sound.

  FIG. 10 shows a flowchart of the respiratory rate counting process corresponding to the respiratory sound counting unit 44. As shown in FIG. 10, a maximum value in a predetermined frequency block among a plurality (eight) is compared with a second reference value that functions as a threshold value for respiratory rate counting processing (step S802). If YES, the voice flag is set to 1 (step S804). If NO, the voice flag that functions as a breathing sound generation flag is set to 0 (step S806). An audio flag of 1 means that sleep, snoring, and explosive sounds are generated. The voice flag being 0 means that the voice has ended.

  Next, it is determined whether or not the time when the sound flag is changed from 0 to 1 and the time when the sound flag returns from 1 to 0, that is, the time TA from the generation of the sound to the end is within the first set time T1 (step S808). If the first set time T1 is exceeded, the breathing sound is too long, so the respiration rate is set to no count (step S810). If the time TA is within the first set time T1, the period when the sound flag is changed from 0 to 1, that is, the interval time TB from the sound generation time to the next sound generation time is equal to or longer than the second set time T2. Whether or not (step S814). If it is less than the second set time T2, the interval time TB is too short, so the respiration rate is set to no count (step S810). If the interval time TB is equal to or greater than the second set time T2, it can be determined that the breath is respiration, and therefore, the respiration rate is counted (step S816). The process continues until a certain time elapses (step S812). In this way, breathing sounds per unit time (including sleep sound, snoring sound, and explosion sound) are counted. When a certain time has elapsed, the process returns to the main routine.

  As described above, according to the present embodiment, the sleep respiratory sound determination unit 22 determines the physical quantity for each of a plurality of frequency blocks obtained by dividing the physical quantity related to the respiratory sound captured using the sound collection microphone 20 based on the frequency. The maximum value is detected, the maximum value in a plurality of frequency blocks is compared with the reference value (judgment value) shown in Table 1, and based on the comparison, the breathing sound of a sleeping person is made a sleep sound, snoring sound, explosive sound And can provide sleep information.

  According to the present embodiment, the determination value in each frequency block 31 to 38 represents a large number of physical quantities (voltage values) in each frequency block. Therefore, the number of sampling data can be significantly reduced, and the burden on the sleep sound determination unit 22 during sleep can be reduced.

  Furthermore, according to the present embodiment, a sound related to breathing of a sleeping person is collected by the sound collecting microphone 20 in a state of being separated from the person. And the respiratory sound determination part 22 during sleep analyzes the physical quantity (voltage value) regarding the respiratory sound collected by the sound collection microphone 20, identifies the respiratory sound during sleep based on the physical quantity related to the respiratory sound, and for a certain period of time. It is possible to count the sound of breathing (sleep sound, snoring sound, explosion sound). For this reason, it is not necessary to attach a contact-type sensor directly to the body of the person who sleeps, and it is convenient. Therefore, it can be easily incorporated into a thing installed in the bedroom like the bed apparatus 1.

  In addition, according to a present Example, although background noise is taken in once before sleep introduction or immediately after sleep introduction, you may decide to take in in fixed time (for example, every hour). In this case, it is possible to cope with a case where a device such as an air conditioner installed in the bedroom is changed over time from a relatively strong mode to a relatively weak mode during human sleep. However, it is preferably performed when the breathing sound is low.

  11 to 20 show a second embodiment. The present embodiment basically has the same configuration and operational effects as the first embodiment. FIG. 11 shows an algorithm of the non-contact type sleep information detecting apparatus 2B according to the present embodiment. The algorithm of the sleep information detection device 2B has basically the same configuration as the algorithm of the non-contact type sleep information detection device 2 according to the first embodiment, and has the same effects. However, the main difference is that a filter unit 61 having a low-pass filter function, a reference value update unit 62, an apnea determination unit 63, and an examination block setting unit 64 are provided.

  The maximum value detection means 30 includes maximum value detection units (corresponding to frequency blocks) 31 to 38 that divide a frequency region of 0 to 5000 Hz into a plurality (M) of frequency blocks. That is, the maximum value detection unit 31 detects the maximum value of the physical quantity (voltage value) in the frequency range of 0 [Hz] to (5000) / M [Hz], that is, the frequency range of 0 to 625 [Hz]. The maximum value detection unit 32 detects the maximum value of the physical quantity (voltage value) in the frequency range of (5000) / M [Hz] to (5000) * 2 / M [Hz], that is, exceeding 625 to 1250 [Hz]. To do. The maximum value detection unit 33 is the maximum value of the physical quantity (voltage value) in the frequency range of (5000) * 2 / M [Hz] to (5000) * 3 / M [Hz], that is, over 1250 to 1875 [Hz]. Is detected. The maximum value detection unit 38 detects the maximum value of the physical quantity (voltage value) in the frequency range of (5000) * (M−1) / M [Hz] to (5000), that is, exceeding 4375 to 5000 [Hz]. To do.

  The filter unit 61 described above performs the following functions. That is, after the maximum value (determination value) of each frequency block 31 to 38 is detected, the maximum value of each frequency block 31 to 38 is passed through the filter unit 61 to reduce noise related to sounds other than the sleep sound. That is, each physical quantity detected in the plurality of frequency blocks 31 to 38 is passed through a filter unit 61 having a low-pass filter function (for example, a frequency of 1 Hz or less is passed). As a result, noise is removed and only a physical quantity of a periodic stable sleep sound is extracted.

  The sleep sound of the sleep sound often has different frequency information and amplitude depending on individual differences. For this reason, individual differences are large as discrimination criteria. Here, it is conceivable to adopt a gradual standard that is accepted by everyone as a determination standard, but in this case, it may be erroneously detected as sleep information data in spite of noise. Therefore, the reference value update unit 62 obtains an average value of the extracted data of a specific frequency (for example, 1 Hz) or less selected by the filter unit 61, and this average value is stored in the memory as a sleep sound reference value shown in Table 1. Update. By updating in this way, it is possible to provide a sleep sound reference value according to each user's sleep sound characteristics instead of a uniformly set sleep sound reference value, and detection of sleep information suitable for each user Accuracy can be improved.

  Furthermore, the feature of sleep information is likely to be expressed at a specific or higher frequency (for example, 2 kHz). Therefore, according to the present embodiment, the inspection block setting unit 64 selects a frequency block having the maximum average value among frequency blocks of a specific (for example, 2 kHz) or higher, and sets this as an inspection block for noise selection. .

  In addition, in apnea syndrome, there is a symptom that breathing stops for a while and breathing resumes with an explosion sound, or a symptom that the number of snoring sounds per unit time is large. The apnea determination unit 63 determines an apnea state when an explosion sound is detected.

  FIGS. 12-20 shows the flowchart of the main routine which the microcomputer mounted in the non-contact-type sleep information detection apparatus 2B based on Example 2 performs. The processing of the flowchart is executed by turning on the switch. First, initial setting (step SA2), voice data capture processing (step SA4), sleep breathing sound identification processing (step SA6), respiratory rate counting processing (step SA8), apnea determination processing (step SA10), and sleep sound determination The reference value update process (step SA12) is performed in order. In order to make the processing time of one main routine constant, the process waits until a predetermined time elapses (step SA14), and returns to step SA4 when the predetermined time elapses.

  FIG. 13 shows a flowchart of an audio data capturing process executed by the sleep breathing sound determination unit 22. The voice data capturing process can function as a respiratory sound physical quantity capturing unit that captures a physical quantity related to a person's respiratory sound from the sound collecting microphone 20 that functions as a respiratory sound detection unit. First, it is determined whether or not it is the first time (step SA202). If it is the first time, bedroom sound is captured from the sound collection microphone 20 as background noise in the bedroom (step SA204). In this case, generally, since a person has just entered the bed apparatus 1 and the person has not been introduced to sleep, the sound that can be heard in the room is regarded as background noise. The background noise can be the sound of an air conditioner installed in the bedroom. Then, frequency analysis of background noise (step SA206) is performed, and bedroom sound is registered in the memory as background noise (step SA208).

  Next, audio data is sampled and captured at a specific frequency (for example, 10 kHz) (step SA210). In this case, the number of sampling is a large number (for example, 64). Next, frequency analysis is performed on the acquired audio data (step SA212). The above-described audio data capturing (step SA210) and frequency analysis (step SA212) are performed a plurality of times (step SA214). Next, the data of a plurality of times are averaged (step SA216). Next, background noise is subtracted from the audio data (step SA218), and the process returns to the main routine. Thereby, noise due to bedroom sound (sound other than breathing sound) is reduced or avoided as background noise in the bedroom, and the identification accuracy of breathing sound is increased.

  14 and 15 show a flowchart of the respiratory sound identification process during sleep executed by the sleep respiratory sound determination unit 22. Here, when the sleep sound flag is 1, it means that the sleep sound is determined in the frequency block. When the snoring sound flag is 1, it means that the snoring sound is determined in the frequency block. When the explosion sound flag is 1, it means that the explosion sound is determined in the frequency block. Further, when the sleep sound generation flag is 1, it means that it is determined as a sleep sound considering all frequency blocks. When the snoring sound flag is 1, it means that the snoring sound is determined in consideration of all frequency blocks. When the explosion flag is 1, it means that the explosion sound is determined in consideration of all frequency blocks.

  First, as shown in FIG. 14, all frequency information is divided into a plurality of (M, M = 8) frequency blocks (step SA302). Therefore, step SA302 can function as a dividing unit that divides all frequency information into a plurality of frequency blocks (corresponding to a maximum value detection unit) for each frequency domain. Next, the first frequency block among the divided frequency blocks is designated (step SA304). In the designated frequency block, the maximum value (determination value) as the peak value of the physical quantity (voltage value) relating to the strength of the audio data is extracted (step SA306). Then, it is determined whether the maximum value of the physical quantity in the designated frequency block is larger than the sleep sound reference value shown in Table 1 (step SA308). If the maximum value in the designated frequency block is smaller than the sleep sound reference value (NO), the sleep sound flag is set to 0, the snoring sound flag is set to 0, and the explosion sound flag is set to 0 for the designated frequency block ( Step SA310). If the maximum value in the designated frequency block is larger than the sleep sound reference value (YES), it is determined as a sleep sound, and the sleep sound flag of the designated frequency block is set to 1 (step SA312). Next, it is determined whether the maximum value in the designated frequency block is larger than the snoring sound reference value shown in Table 1 (step SA314). If the maximum value in the designated frequency block is smaller than the sleep sound reference value (NO), the snore sound and the explosion sound are not determined, and the snoring sound flag is set to 0 and the explosion sound flag is set to 0 for the designated frequency block. (Step SA316). If the maximum value is larger than the snoring sound reference value in step SA314 (YES), it is determined as a snoring sound, and the snoring sound flag of the designated frequency block is set to 1 (step SA318). Next, it is determined whether the maximum value in the designated frequency block is larger than the explosion sound reference value shown in Table 1 (step SA320). If the maximum value in the designated frequency block is smaller than the explosion sound reference value (NO), the designated frequency block is not determined to be a explosion sound, and the explosion sound flag is set to 0 (step SA322). If the maximum value is larger than the explosion sound reference value in step SA320 (YES), it is determined as a explosion sound, and the explosion sound flag of the designated frequency block is set to 1 (step SA324).

  In FIG. 14, steps SA312 and SA316 can function as a sleep determination unit that determines sleep information as a sleep sound in the frequency block. Steps SA318 and SA322 can function as snoring discrimination means for discriminating sleep information as a snoring sound in the frequency block. Step SA324 can function as an explosive sound discrimination means for discriminating sleep information as an explosive sound in the frequency block.

  Further, as shown in FIG. 15, it is determined whether the frequency block is final (step SA328). If NO, the next frequency block is designated (step SA330), and the process proceeds to step SA306. If the result of determination in step SA328 is that the frequency block is final (YES), the maximum block having the maximum value is extracted from all frequency blocks (step SA332). Next, it is determined whether the two conditions that the sleep sound flag of all the frequency blocks is 1 and that the maximum block is a test block are satisfied (step SA334). If the two conditions are not satisfied (NO), it is estimated that the sleep information may include noise, and sleep sound, snoring sound, and explosion sound are not identified in order to ensure detection accuracy. That is, the sleep sound generation flag is set to 0, the snoring sound generation flag is set to 0, and the explosion sound generation flag is set to 0 (step SA336). Therefore, Steps SA334 and SA336 can function as a determination stop unit that stops the determination of the sleep sound, snoring sound, and explosion sound when the determination as the sleep sound may include noise.

  In step SA334, if two conditions are satisfied (YES), the sleep sound generation flag is set to 1 (step SA338). Accordingly, steps SA334 and SA338 can function as a sleep determination unit that determines sleep information as a sleep sound. Further, it is determined whether the two conditions that the snoring sound flag of all the frequency blocks is 1 and that the maximum block is the inspection block are satisfied (step SA340). If the two conditions are not satisfied (NO), it is estimated that the sleep information may include noise, and the snoring sound and the explosion sound are not identified in order to ensure the detection accuracy. That is, although the sleep sound generation flag is set to 1, the snoring sound generation flag is set to 0, and the explosion sound generation flag is set to 0 (step SA342). Therefore, steps SA340 and SA342 can function as snoring determination stopping means for stopping the determination as the snoring sound when the determination as the snoring sound may include noise.

  Furthermore, if the result of determination in step SA340 is that two conditions are satisfied (YES), it is determined that a snoring sound has occurred, and a snoring sound generation flag is set to 1 (step SA344). Therefore, steps SA340 and SA344 can function as snoring discrimination means for discriminating sleep information as a snoring sound. Further, it is determined whether the two conditions that the explosion flag of all frequency blocks is 1 and that the maximum block is an inspection block are satisfied (step SA346). If the condition is not satisfied (NO), it is estimated that the sleep information may include noise, and the explosion sound generation flag is set to 0 (step SA348). Therefore, Steps SA346 and SA348 can function as an explosion detection stop unit that stops the determination as an explosion when there is a possibility that the determination as an explosion includes noise.

  In step SA346, if two conditions are satisfied (YES), it is determined that an explosion sound is generated, and the explosion sound generation flag is set to 1 (step SA350). Therefore, Steps SA346 and SA350 can function as explosion sound determination means for determining sleep information as an explosion sound. As described above, steps SA334, SA336, SA340, SA342, and steps SA346, SA348 cancel the determination as a sleep sound when the sleep sound, such as a sleep sound, a snoring sound, and an explosion sound, may contain noise. It can function as a sleep sound discrimination stop means.

  According to the present embodiment, in step SA334, it is determined that the sleep sound flag of all the frequency blocks is 1, but the sleep sound flag is set for a predetermined number (for example, a majority) of the frequency blocks of all the frequency blocks. May be 1. In step SA340, it is determined that the snoring sound flags of all the frequency blocks are 1, but the snoring sound flag is 1 for a predetermined number (for example, a majority) of all the frequency blocks. May be. In step SA346, it is determined that the explosion sound flags of all the frequency blocks are 1. However, the explosion sound flag is 1 for a predetermined number (for example, a majority) of all frequency blocks. good.

  As can be understood from FIG. 15, when the explosion sound generation flag is 1, the sleep sound generation flag and the snoring sound generation flag for determining the sleep sound and the snoring sound that are lower than the explosion sound are respectively 1. Therefore, when the sleep sound generation flag, the snoring sound generation flag, and the explosion sound generation flag are 1, respectively, it is determined that the sound has a larger amplitude than the sleep sound and the snoring sound. When the snoring sound generation flag is 1, the sleep sound generation flag for determining the sleep sound whose sound is smaller than the snoring sound is 1. Therefore, when the sleep sound generation flag and the snoring sound generation flag are 1 and the explosion sound generation flag is 0, it is determined that the sound has an amplitude greater than that of the sleep sound. When the sleep sound generation flag is 1 and the snoring sound generation flag and the explosion sound generation flag are 0, it is determined that the sound is a sleep sound.

  FIG. 16 shows a flowchart of the respiratory rate counting process corresponding to the respiratory sound counting unit 44. As shown in FIG. 16, when the sleep sound is set as a breath sound (step SA402), the sleep sound generation flag is set as a breath sound generation flag, and a time determination process is performed (step SA404). Next, when the snoring sound is set as a breathing sound (step SA406), the snoring sound generation flag is set as a breathing sound generation flag, and a time determination process is performed (step SA408). Next, when the explosion sound is set as a breathing sound (step SA410), the explosion sound generation flag is set as a breathing sound generation flag, and a time determination process is performed (step SA412).

  FIG. 17 shows the time determination process described above. First, as shown in FIG. 17, in order to determine whether or not breathing has started, it is determined whether or not the breathing sound generation flag has changed from 0 to 1 (step SA502). If YES, since breathing has started, time TB (see FIG. 6) is measured (step SA504). If the result of determination in step SA502 is NO, breathing has not started. Next, it is determined whether the breathing sound generation flag has changed from 1 to 0 (step SA506). That is, it is determined whether the started breathing is finished. If YES, the time TA (see FIG. 6) is measured (step SA508).

  Then, it is determined whether the time TA is shorter than a first set time T1 (for example, 2 seconds) (step SA510). If NO, the time TA is too long for respiration, so the respiration rate is not counted (step SA512). As a result of the determination in step SA510, if the time TA is shorter than the first set time T1 (for example, 2 seconds) (YES), it can be estimated as respiration. Further, it is determined whether the time TB is longer than a second set time T2 (for example, 2 seconds). If the time TB is shorter than the second set time T2 (for example, 2 seconds) (NO), the respiration rate is not counted because the respiration is too short (step SA512). If the time TB is longer than the second set time T2 (for example, 2 seconds) (YES), since it can be estimated as respiration, the respiration rate is counted (step SA516).

  18 and 19 show an apnea determination process performed by the apnea determination unit 63 described above. Since apnea often accompanies explosive sounds, it is determined whether explosive sounds have been counted as shown in FIG. 18 (step SA702). If explosion sounds are counted (YES), it is determined whether time TB is longer than apnea setting time T3 (for example, 10 seconds) (step SA704). If it is longer, it is counted as apnea (step SA706). If the time TB is shorter than the apnea set time T3, it is not counted as apnea (step SA708). As a result, as shown in FIG. 19, when the explosion sound generation flag is changed from 0 to 1 and the explosion sound is counted, if the time TB indicating the generation interval of the sleep sound generation flag is longer than the apnea setting time T3, Count as apnea.

  FIG. 20 shows a flowchart of the sleep sound reference value update process. As shown in FIG. 20, it is determined whether or not the sleep sound generation flag is changed from 0 to 1 and sleep sound (including snoring sound and explosion sound) is counted (step SA802). Next, a frequency block including a specific frequency (2000 Hz) is designated (step SA804). Here, the reason why 2000 Hz is selected as the specific frequency is that the feature of sleep information is easily expressed in a frequency region larger than 2000 Hz. Next, the data of the cycle determined to be a sleep sound is passed through the filter unit 61 having a low-pass function of 1 Hz, and the data having a frequency exceeding 1 Hz is regarded as noise, and the passed data (data having a cycle smaller than 1 Hz). Is registered (step SA806). Next, it is determined whether or not the number of registered data exceeds I (I = 100) (step SA808). If the number of data does not exceed the predetermined number (I) (NO), it is determined whether the frequency block is final (step SA820). If not, the process proceeds to the next frequency block (step SA822). If the result of determination in step SA808 is that the number of data exceeds I, an average value of the data is obtained, the average value is updated as a sleep sound reference value shown in Table 1, and stored in a predetermined area of the memory. (Step SA810). Step SA810 can function as updating means for updating the sleep sound reference value shown in Table 1. Next, it is determined whether the frequency block is final (step SA812). If not, the process proceeds to the next frequency block. If it is final, the frequency block having the maximum average value among the frequency blocks over 2000 to 5000 Hz is set as the inspection block (step SA814). Step SA814 can function as a test block setting unit that sets a test block that functions as a determination parameter for stopping the determination of sleep sound, snoring sound, and explosion sound when sleep information may include noise.

  Here, among the frequency blocks over 2000 to 5000 Hz, the frequency block having the maximum data average value may differ depending on the user. Therefore, according to the present embodiment, as described above, the frequency block having the maximum average value is set as the inspection block. The inspection block can function as an element for determining noise.

  As described above, according to the present embodiment, the sleep breathing sound determination unit 22 is configured for each of the plurality of frequency blocks 31 to 38 obtained by dividing the physical quantity related to the breathing sound captured using the sound collection microphone 20 based on the frequency. The maximum value of the physical quantity is detected, the maximum values (judgment values) in the plurality of frequency blocks 31 to 38 are compared with the reference values shown in Table 1, and based on the comparison, the breathing sound of the person sleeping is slept It can be identified as sound, snoring sound, and explosion sound, and sleep information can be provided. In addition, the apnea determination unit 63 can determine the apnea state when the explosion sound is detected, and can display the presence / absence of the apnea state and the state thereof on the fourth display unit 54.

  Furthermore, according to the present embodiment, the maximum value (determination value) in each frequency block 31 to 38 represents a large number of physical quantities (voltage values) in each frequency block. Therefore, the number of data can be significantly reduced, and the burden on the sleep sound determination unit 22 during sleep can be reduced.

  According to the present embodiment, step SA810 updates the sleep sound reference value shown in Table 1 according to the user's sleep information, but is not limited to this, and snore according to the user's sleep information. The sound reference value and the explosion sound reference value may be updated.

(Other examples)
FIG. 21 shows a third embodiment. FIG. 22 shows a fourth embodiment. FIG. 23 shows a fifth embodiment. FIG. 24 shows a sixth embodiment. The third to sixth embodiments basically have the same configuration and effect as the first or second embodiment. Hereinafter, the description will focus on the different parts.

  In the third embodiment shown in FIG. 21, the sound collecting microphone 20 is provided on the head board 12 of the bed apparatus 1 together with the holder 20a for holding the microphone. The sound collecting microphone 20 is held so as to be swingable about the axis 20e by a pivotal support 20c together with a holder 20a for holding the sound collecting microphone 20, and the sound collecting microphone 20 is adjusted by adjusting the position along the width direction of the person sleeping on the bedding. The direction can be adjusted. In this case, the sound collecting direction of the sound collecting microphone 20 can be adjusted even for a person who tends to sleep on one side of the bedding while sleeping, etc., so that the person's sleeping can be handled.

  The fourth embodiment shown in FIG. 22 is applied to an alarm clock 200 installed in a bedroom. The alarm clock 200 includes a base 201 having a time display unit 202 and a non-contact sleep incorporated in the base 201. And an information detection device 2B (sleep information detection system). A fifth embodiment shown in FIG. 23 is applied to the illuminating lamp device 300, and includes a base 301 having the illuminating lamp 302, a non-contact type sleep information detecting device 2C (sleep information detecting system) incorporated in the base 301, and Have Example 6 shown in FIG. 24 is applied to the furniture 400 installed in the bedroom. The furniture 400 includes a base 401 having a drawer 402, and a non-contact sleep information detecting device 2D ( Sleep information detection system).

  According to each of the above-described embodiments, as in the first embodiment, sound related to breathing of a sleeping person is collected by the sound collecting microphone 20 in a state of being separated from the person. Then, the respiratory sound determination unit 22 during sleep analyzes the physical quantity related to the respiratory sound collected by the sound collection microphone 20 and identifies the respiratory sound during sleep based on the physical quantity related to the respiratory sound. For this reason, it is not necessary to attach a contact-type sensor to the body of the person who sleeps, and it is convenient to use.

  In the first and second embodiments described above, the frequency domain is divided into a plurality of frequency blocks based on the frequency domain shown in Table 1, but the frequency domain is not limited to this. In the first embodiment and the second embodiment described above, the sound collection microphone 20 is provided on the head board 12 of the bed apparatus 1, but is not limited thereto, and may be provided in another part of the bed apparatus 1. In the first embodiment and the second embodiment described above, the frequency region is divided into frequency blocks based on the frequency. However, the present invention is not limited to this, and the number of frequency blocks may be greater or less than that. The reference frequency for dividing the frequency block is not limited to the above-described form.

  In Example 1 and Example 2 described above, the sleep respiratory sound determination unit analyzes a physical quantity obtained by subtracting background noise from the physical quantity related to the respiratory sound, and identifies the respiratory sound during sleep as sleep sound, snoring sound, and explosive sound. However, when the background noise can be ignored, the background noise may be omitted. In addition, the present invention is not limited to the embodiments described above and shown in the drawings, and can be implemented with appropriate modifications within a range not departing from the gist.

  The present invention can be applied to a sleep information detection system that detects sleep information during sleep, and can be incorporated into devices such as a bed, an alarm clock, a lighting device, furniture, a reclining chair, and a vehicle.

It is a block diagram of the bed apparatus which concerns on Example 1 and carries a sleep information detection system. It is a frequency block diagram which shows the algorithm of a non-contact-type sleep information detection apparatus concerning Example 1. FIG. FIG. 6 is a waveform diagram illustrating a frequency range of sleep sound according to the first embodiment. FIG. 4 is a waveform diagram showing a frequency region of snoring sound according to the first embodiment. FIG. 6 is a waveform diagram illustrating a frequency region of body motion according to the first embodiment. FIG. 6 is a waveform diagram illustrating a count index of a respiratory sound counting unit according to the first embodiment. 6 is a flowchart illustrating a main routine according to the first embodiment. 7 is a flowchart illustrating audio data capturing processing according to the first embodiment. 5 is a flowchart illustrating a sleep sound identification process during sleep according to the first embodiment. 6 is a flowchart illustrating a respiratory rate counting process according to the first embodiment. It is a frequency block diagram which shows the algorithm of a non-contact-type sleep information detection apparatus concerning Example 2. FIG. 12 is a flowchart illustrating a main routine according to the second embodiment. 12 is a flowchart illustrating audio data capturing processing according to the second embodiment. 12 is a flowchart illustrating a sleep sound identification process during sleep according to the second embodiment. 12 is a flowchart illustrating a sleep sound identification process during sleep according to the second embodiment. 12 is a flowchart illustrating a respiration rate counting process according to the second embodiment. 12 is a flowchart illustrating time determination processing according to the second embodiment. 12 is a flowchart illustrating apnea determination processing according to the second embodiment. 12 is a timing chart graph showing a form of apnea determination processing according to the second embodiment. 10 is a flowchart illustrating a breathing sound determination reference value update process according to the second embodiment. FIG. 9 is a schematic diagram of a sound collection microphone according to the third embodiment. FIG. 10 is a schematic diagram of an alarm clock according to the fourth embodiment and equipped with a sleep information detection system. It is a schematic diagram of the illuminating lamp apparatus which concerns on Example 5 and carries a sleep information detection system. It is a schematic diagram of the furniture which concerns on Example 6 and carries a sleep information detection system.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 is a bed apparatus, 10 is a bedding contact surface, 12 is a headboard, 2 is a sleep information detection apparatus, 20 is a sound-collecting microphone (breathing sound detection part), 22 is a respiratory sound determination part during sleep, 31-38 are maximum values Detection unit (determination value detection unit), 41 is a sleep determination unit, 42 is a snoring determination unit, 43 is an explosion determination unit, 44 is a breathing sound count unit, 50 is a display unit, 61 is a filter unit, and 62 is a reference value update unit 63 represents an apnea determination unit, and 64 represents an examination block setting unit.

Claims (13)

A respiratory sound physical quantity capturing unit that captures physical quantities related to respiratory sounds from the respiratory sound detection unit;
A respiratory sound determination unit during sleep for determining a respiratory sound during sleep based on a physical quantity related to a respiratory sound captured in the respiratory sound physical quantity capturing unit;
The sleep sound determination unit during sleep is
A determination value detection unit that detects a determination value of a physical quantity for each of a plurality of frequency blocks obtained by dividing the physical quantity acquired by the respiratory sound physical quantity acquisition unit based on a frequency;
An identification unit that identifies a breathing sound of a sleeping person as at least one of a sleep sound, a snoring sound, and an explosive sound based on the determination values in the plurality of frequency blocks of the determination value detection unit. Characteristic sleep information detection system.   The sleep information detection according to claim 1, wherein the determination value of the physical quantity is a peak value of the physical quantity, and the determination value detection unit is a peak value detection unit that detects a peak value of the physical quantity in the frequency block. system.   3. The sleep sound determination unit according to claim 1, wherein the sleep breath sound determination unit converts a sleep sound into a sleep sound based on a second physical quantity obtained by subtracting background noise from a physical quantity related to the respiratory sound captured by the respiratory sound physical quantity capturing unit. A sleep information detection system characterized by being identified as at least one of snoring sound and explosion sound.   The physical quantity relating to respiratory sound according to any one of claims 1 to 3, wherein the sleep respiratory sound determination unit includes a background noise registration unit that registers background noise, and background noise registered in the background noise registration unit. A background noise subtraction unit that subtracts the second physical quantity to obtain a second physical quantity, and the identification section that identifies a breathing sound generated by a sleeping person as at least one of a sleep sound, a snoring sound, and an explosive sound based on the second physical quantity; A sleep information detection system comprising:   The sleep information detection system according to any one of claims 1 to 4, wherein the background noise is background noise before or after the introduction of sleep. The identification unit of the sleep breathing sound determination unit according to any one of claims 1 to 5, wherein the determination value in the plurality of frequency blocks of the determination value detection unit is compared with a reference value. , Based on the comparison, to identify the breathing sound of a sleeping person as at least one of a sleep sound, a snoring sound, a blast sound,
The sleep information detection system according to claim 1, wherein the sleep breathing sound determination unit includes a reference value update unit that updates the reference value based on a physical quantity related to the respiratory sound captured by the respiratory sound physical quantity capturing unit.   7. The reference value update unit according to claim 1, wherein the reference value update unit obtains an average value of physical quantities in a specific frequency region selected by the filter unit, and updates the average value as the reference value. A sleep information detection system.   In any one of Claims 1-7, While the said sleep sound determination part during a sleep sets the frequency block with the largest average value of the physical quantity in each frequency block as a test | inspection block among several frequency blocks. The identification unit selects a maximum block having a maximum physical quantity among a plurality of frequency blocks at the time of identification, and when the maximum block corresponds to a test block, a sleep sound, a snoring sound, an explosion sound is selected. A sleep information detection system characterized by performing at least one type of identification. A respiratory sound physical quantity capturing unit that captures physical quantities related to respiratory sounds from the respiratory sound detection unit;
A respiratory sound determination unit during sleep for determining a respiratory sound during sleep based on a physical quantity related to the respiratory sound captured by the respiratory sound physical quantity capturing unit;
The sleep breathing sound determination unit
Sleep information comprising a respiratory sound counting unit that counts respiratory sounds per unit time (including at least one of sleep sound, snoring sound, explosive sound) from the physical quantity captured by the respiratory sound physical quantity capturing unit Detection system.   10. The respiratory rate counting unit according to claim 9, wherein the time from the generation of the sound related to breathing to the end thereof is within the first set time T1, and the time of sound generation related to the next breath from the time of sound generation related to breathing. When the interval time until is equal to or longer than the second set time T2, the sleep information detection system is counted as a respiratory rate.   11. The sleep respiratory sound determination unit according to claim 1, wherein the sleep respiratory sound determination unit includes a frequency component lower than a predetermined frequency and / or another predetermined one of the audio signals detected by the respiratory sound detection unit. A sleep information detection system comprising a filter unit that cuts a frequency component higher than the frequency of.   12. The sleep respiratory sound determination unit according to any one of claims 1 to 11, wherein an apnea state is present during sleep based on information relating to a person's breathing determined by the sleep respiratory sound determination unit. The sleep information detection system characterized by including the apnea determination part which determines to do.   In any 1 paragraph of Claims 1-12, The above-mentioned sleep breathing sound judgment part is provided with the display part which displays the information about the person's breathing judged by the above-mentioned sleep breathing sound judgment part. Characteristic sleep information detection system.

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