JP2006141819A - Bedroom installation apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a bedroom installation apparatus abolishing a method of attaching a contact type sensor to a human body and having a non-contact type bioinformation detecting device measuring respiratory sound generated by the respiratory system. <P>SOLUTION: This bedroom installation apparatus such as a bed is provided with the non-contact type bioinformation detecting device 2. The detecting device 2 is provided with a base body installed near the bed, a sound pickup microphone means 20 mounted on the base body and picking up sound related to the respiration of a person sleeping in bedding with its separated from the person, and a sleeping respiratory sound identification part 22 analyzing the physical quantity of the respiration picked up by the sound pickup means 20 and identifying the sleeping respiratory sound based on the physical quantity on the respiration. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a bedroom installation apparatus having a biological information detection apparatus.

  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 discloses a method for analyzing a respiratory sound generated by a respiratory system. This method measures a respiratory sound generated by the respiratory system and, if such a measurement signal satisfies a first criterion indicative of the characteristics of a predetermined type of respiratory sound, Tentatively identifying as a signal generated by the method, and confirming the identification when the tentatively identified signal meets a second criterion indicative of a characteristic of a predetermined type of respiratory sound. is there. According to this method, a contact-type sensor is directly attached to a human body, and a respiratory sound generated by the respiratory system is measured.
Special table 2001-505085 gazette

  According to the above-described apparatus, as described above, a contact-type sensor is attached to a human body, and a respiratory sound generated by the respiratory system is measured. For this reason, when performing measurement, a contact-type sensor must be attached to the human body one by one, which is inconvenient and is not preferable for daily measurement.

  The present invention has been made in view of the above-mentioned circumstances, eliminates the method of attaching a contact-type sensor to a human body, and measures a respiratory sound generated by the respiratory system in a non-contact manner. It is an object to provide a bedroom installation device having an information detection device.

  (1) The bedroom installation device according to the present invention of aspect 1 includes a base body installed in the bedroom and a biological information detection device mounted on the base body, and the biological information detection device is mounted on the base material and bedding. Sound collecting microphone means that collects sound related to breathing of a person who is sleeping at a distance from the person, and physical quantities related to breath collected by the sound collecting microphone means are analyzed, and during sleep based on physical quantities related to breathing And a breathing sound identification unit during sleep that identifies the breathing sound as at least one of a sleep sound, a snoring sound, and an explosive sound. 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 above-described biological information detection device is mounted on a base installed in the bedroom. The biological information detecting device analyzes a physical quantity relating to breathing collected by the sound collecting microphone means, and a sound collecting microphone means for collecting sounds related to breathing of the person sleeping on the bedding while being separated from the person. And a sleep sound identification unit for sleep that identifies a sleep sound during sleep based on a physical quantity related to Explosive sounds are unusually loud sounds of snoring sounds.

  According to the present invention, sound related to breathing of a person sleeping on bedding is collected by the sound collecting microphone means in a state of being separated from the person. Then, the breathing sound identification unit during sleep analyzes the physical quantity related to breath collected by the sound collecting microphone means, and based on the physical quantity related to breathing, the breathing sound during sleep is converted into at least one of sleep sound, snore sound, and explosion sound. Identify as a species. Since the sound collecting microphone means is used in this way, it is not necessary to attach the contact sensor to the body of the sleeping person one by one, and it is easy to use.

(2) The bedroom installation apparatus according to the present invention of aspect 2 includes a base body installed in the bedroom and a biological information detection device mounted on the base body.
The biological information detection apparatus includes a sound collecting microphone means that collects sound related to breathing of a person sleeping on bedding mounted on a base body in a state of being separated from the person, and breathing during sleep collected by the sound collecting microphone means A breathing rate counting unit that counts the number of breaths, and the breathing rate counting unit has a time from generation of sound related to breathing to the end thereof within a first set time T1, and from the time of occurrence of sound related to breathing, When the time until the sound generation time for the next breath is equal to or longer than the second set time T2, it is counted as a breathing sound.

  According to the bedroom installation apparatus according to the aspect 2 of the present invention, the sound related to the breathing of the person sleeping on the bedding is collected by the sound collecting microphone means while being separated from the person. The sleep breathing sound identification unit analyzes a physical quantity related to breath collected by the sound collecting microphone unit, and counts the number of breathing during sleep. 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.

  According to the bedroom installation apparatus according to the aspect 1 of the present invention, the sound related to the breathing of the person sleeping on the bedding is collected by the sound collecting microphone means while being separated from the person. The sleep breathing sound identification unit analyzes a physical quantity related to respiration collected by the sound collecting microphone unit, and identifies a breathing sound during sleep based on the physical quantity related to respiration. 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. Therefore, it can be incorporated into a bed device, an alarm clock, a lighting device, furniture, etc. installed in the bedroom.

  According to the bedroom installation apparatus according to the aspect 2 of the present invention, the sound related to the breathing of the person sleeping on the bedding is collected by the sound collecting microphone means while being separated from the person. Then, the breathing sound identification unit during sleep analyzes a physical quantity related to respiration collected by the sound collecting microphone means, and counts the respiration rate. 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. Therefore, it can be incorporated into a bed device, an alarm clock, a lighting device, furniture, etc. installed in the bedroom.

  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 identified by the respiratory sound identification 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 on sleep apnea syndrome and the like. 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 substrate may be of any type as long as it can be attached with the biological information detection device, and may be of a type that is installed stationary in the bedroom, or of a movable type that can be moved 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. 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.

  The sleep respiratory sound identification unit described above analyzes a physical quantity obtained by subtracting background noise from a 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 an abnormally loud sound among the snoring sounds. The sleep breathing sound identification unit may be a method for identifying only a sleep sound, a method for identifying only a snoring sound, a method for identifying only an explosive sound, or a method for identifying a sleep sound and a snoring sound. A method of identifying snoring sounds and explosion sounds, or a system of identifying sleep sounds and explosion sounds may be used.

  The sleep respiratory sound identification unit described above analyzes the background noise registration unit for registering background noise, the background noise subtraction unit for subtracting the registered background noise from the physical amount related to the breathing sound to obtain the second physical quantity, and the second physical quantity In addition, it is possible to adopt a configuration including 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. Thereby, misidentification caused by background noise is suppressed. 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.

  Furthermore, the form provided with the respiration rate count part is employable. The respiration rate counting unit has a time from the generation of sound related to breathing to the end thereof within the first set time T1, and the time from the time of sound generation related to breathing to the time of sound generation related to the next breath is the second time. When the time is equal to or longer than the set time T2, it is possible to adopt a form 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.

  Embodiment 1 of the present invention will be specifically described below with reference to the drawings. A non-contact type biological information detection apparatus 2 according to the present embodiment is incorporated in a bed apparatus 1 that functions as a bedroom installation apparatus. 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 M such as a mat or a futon is placed in contact.

  The non-contact type biological information detection apparatus 2 according to the present embodiment is mounted on the head board 12 of the bed apparatus 1. FIG. 2 shows an algorithm of the non-contact type biological information detection apparatus 2. As shown in FIG. 2, a sound collecting microphone 20 having sound collecting directivity that functions as a sound detecting unit attached to the head board 12 of the bed apparatus 1 and a sleep breathing sound identification attached to the head board 12 of the bed apparatus 1. Part 22. In this way, the sound collection microphone 20 is attached to the head board 12 of the bed apparatus 1 and faces the head of the person sleeping on the bedding M, so that the breathing sound of the person sleeping on the bedding M is effective. It is provided so that sound can be collected.

  As shown in FIG. 2, the sleep respiratory sound identification unit 22 cuts a frequency component lower than a predetermined frequency and a frequency component higher than another predetermined frequency from the sound signal input to the sound collection microphone 20. The filter unit 23, the amplifier unit 24 that amplifies the sound signal captured by the sound collecting microphone 20, the sampling unit 25 that samples at a predetermined frequency and obtains a predetermined number of samples, and a predetermined frequency region (0 to 5000 Hz) The frequency analysis unit 26 that performs frequency analysis (FFT analysis) in the above, the averaging unit 27 that averages the data analyzed a plurality of times (for example, twice) by the frequency analysis unit 26, and the background noise before or after the sleep introduction And a background noise subtracting section 2 for subtracting the registered background noise from a physical quantity related to breathing sound to obtain frequency information as a second physical quantity. The frequency information is divided into a plurality of blocks (8 blocks), a plurality of maximum value detectors 31 to 38 for detecting the maximum value of the physical quantity (voltage value) for each block, and a plurality of maximum values divided in the frequency range Sleeping sound discriminating means 41 for discriminating the sleeping sound for each of the value detecting units 31 to 38, and snoring sound discriminating means for discriminating the snoring sound for each of the plurality of maximum value detecting units 31 to 38 divided in the frequency range. 42, explosive sound discriminating means 43 for discriminating explosive sound for each of a plurality of maximum value detection units divided by frequency range, and breathing sounds per unit time (including sleep sound, snoring sound, explosive sound) from frequency information. A breathing sound counting unit 44 that counts and a display unit 50 that displays information related to the breathing sound of the identified person are provided. The plurality of maximum value detection units 31 to 38 constitute maximum value detection means 30 that functions as an identification unit. The sleep sound discriminating means 41, the snoring sound discriminating means 42, and the explosive sound discriminating means 43 constitute the breathing sound discriminating means 4 for discriminating the breathing sound as a sleep breathing sound, a snoring sound and an explosive sound. Here, background noise means noise other than breathing sound that can be heard in the bedroom. In this 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 biological information detection device 2.

  As shown in FIG. 2, the display unit 50 includes a first display unit 51 indicating the frequency of sleep sound, snoring sound and explosion sound, a second display unit 52 indicating frequency of snoring sound, and breathing sound per unit 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. The physical quantity (voltage value) corresponding to the sound intensity is displayed on an axis that intersects both the vertical axis and the horizontal axis. However, since it is shown as a color, it is not shown in FIGS. ing. 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, the output voltage value generally pulsates in the region of frequency 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 indices for identifying sounds related to breathing as sleep sounds, snoring sounds, and explosion sounds. As shown in Table 1, a reference value (threshold value) for sleep sound, a reference value (threshold value) for snoring sound, and a reference value (threshold value) for explosion sound are defined for each of a plurality (eight blocks). Yes. For example, in the 0-625 Hz region that is the first 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, which is the second 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 region of 1250 Hz exceeding −1875 Hz, which is the third block, 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 block, if it is V ₄₃ (20 mV) or more, it is determined as an explosion sound. In the fifth block, which exceeds 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, an explosion sound. Is determined. In this region, if V ₅₃ (100 mV) or more, it is determined as a sleep sound, snoring sound, and explosion sound, but it is determined as an explosion sound that generates a louder sound.

In the sixth block, which exceeds 3125 Hz-3750 Hz, if it is V ₆₁ (15 mV) or more, it is determined to be a sleep sound, if it is V ₆₂ (50 mV) or more, it is determined to be a snoring sound, and V ₆₃ (100 mV) or more. If it is determined to be an explosive sound. Further, in the seventh block exceeding 3750 Hz to 4375 Hz, if it is V ₇₁ (15 mV) or more, it is determined as a sleep sound, if it is V ₇₂ (50 mV) or more, it is determined as a snoring sound, and V ₇₃ (10 mV) or more. If it is determined to be an explosive sound. In the 8th block, which exceeds 4385 Hz and −5000 Hz, if it is V ₈₃ (10 mV) or more, it is determined as an explosion sound.

In addition, the threshold values in parentheses such as V ₁₁ , V ₁₂ , V ₁₃ , V ₁₂ , V ₂₁ , V ₂₂ , V _23, etc. in Table 1 are not limited to the above values. 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 the waveform of the respiratory sound. Pf (fall) indicates the fall of the waveform. In the present embodiment, when both of the following conditions (i) and (ii) are satisfied, it is counted as a breathing sound (including a sleep sound, a snoring sound, and an explosive sound). When both (i) and (ii) are not satisfied, it is treated as an abnormal sound other than a sound related to breathing.
(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 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). When.

  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 waveform P4 does not satisfy (ii) for the no-count pulse P3, but satisfies the condition (ii) for the counted pulse P2, as a result, (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).

  In this way, a person's breathing sound (including sleep sound, snoring sound, explosion sound) is counted, and other sounds are not counted. As a result, breathing sounds (including sleep sound, snoring sound, and explosion sound) per unit 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.

  7 to 10 show flowcharts of a main routine executed by the microcomputer mounted on the non-contact type biological information detecting device 2. 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 sound identification unit 22 during sleep. 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). Audio data capture (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 identification unit 22. First, the frequency information is divided into a plurality of blocks (8 blocks), and the maximum value of the physical quantity (voltage value) is extracted for each of the plurality of blocks (step S602). Then, the maximum value of the block to be determined first is compared with the threshold 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 threshold 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 explosion sound threshold 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 the sound is a sleep sound, a snoring sound, or an explosive sound in the block in the frequency domain (step S630). Further, it is determined whether or not all the blocks are finished (step S632). If all the blocks are not finished, a process of proceeding to the next block is performed (step S634), and the process returns to step S604.

  Hereinafter, similarly, it is determined whether all the blocks are sleep sound, snore sound, or explosive sound. If the processing has been completed for all the blocks, it is identified whether the breathing sound at this 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, the maximum value of a predetermined number of blocks among a plurality (eight blocks) is compared with the second threshold value for the respiratory rate counting process (step S802). If YES, the sound generation flag is set to 1 (step S804). If NO, the sound generation flag is set to 0 (step S806). The sound generation flag being 1 means that sound is being generated. The sound generation flag being 0 means that the sound has ended.

  Next, it is determined whether or not the time for the sound generation flag to change from 0 to 1 and return from 1 to 0, that is, the time from the sound generation 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 it is within the first set time T1, it is determined whether or not the period during which the sound generation flag is 0 to 1, that is, the time from the sound generation time to the next sound generation time is equal to or longer than the second set time T2. (Step S814). If it is less than the second set time T2, the respiration rate is set to no count (step S810). If it is equal to or longer than the second set time T2, it is counted as the respiratory rate (step S816). The process continues until a certain time has elapsed (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 sound related to the breathing of the person sleeping on the bedding is collected by the sound collecting microphone 20 while being separated from the person. Then, the breathing sound identification unit 22 during sleep analyzes the physical quantity (voltage value) related to breathing collected by the sound collecting microphone 20 and identifies the breathing sound during sleep based on the physical quantity related to breathing. 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. 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.

(Other examples)
FIG. 11 shows a second embodiment. FIG. 12 shows a third embodiment. FIG. 13 shows a fourth embodiment. FIG. 14 shows a fifth embodiment. The second to fifth embodiments have basically the same configuration and operation effects as the first embodiment. Hereinafter, the description will focus on the different parts. In the second embodiment shown in FIG. 11, the sound collecting microphone 20 is provided on the head board 12 of the bed apparatus 1 together with a holder 20a for holding the microphone. The sound collecting microphone 20 is held so as to be swingable around 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, since 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, the person's sleeping can be handled.

  Example 3 shown in FIG. 12 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 living body incorporated in the base 201. And an information detection device 2B. A fourth embodiment shown in FIG. 13 is applied to the illuminating lamp device 300, and includes a base body 301 having an illuminating lamp 302 and a non-contact type biological information detecting device 2C incorporated in the base body 301. The fifth embodiment shown in FIG. 14 is applied to the furniture 400 installed in the bedroom. The furniture 400 includes a base body 401 having a drawer 402, and a non-contact type biological information detection device 2D incorporated in the base body 401. Have

  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 identification unit 22 during sleep analyzes a physical quantity related to respiration collected by the sound collection microphone 20 and identifies a respiratory sound during sleep based on the physical quantity related to respiration. 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 embodiment described above, the sound collecting microphone 20 is provided on the head board 12 of the bed apparatus 1, but the present invention is not limited thereto, and may be provided in another part of the bed apparatus 1. In the first embodiment described above, the peripheral number region is divided into 8 blocks. However, the number of blocks is not limited to this, and the number of blocks may be larger or smaller. In the first embodiment described above, the sleep respiratory sound identification 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 a sleep sound, a snoring sound, and an explosive sound. However, when background noise can be ignored, subtraction of 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 bedroom installation apparatus having a non-contact type biological information detection device that detects biological information during sleep. These include bed devices, alarm clocks, lighting devices, and furniture.

BRIEF DESCRIPTION OF THE DRAWINGS It is a block diagram of the bed apparatus which concerns on Example 1 and mounted bedding. It is a block diagram which shows the algorithm of a non-contact-type biometric information detection apparatus. It is a wave form diagram which shows the frequency range of a sleep sound. It is a wave form diagram which shows the frequency range of the snoring sound. It is a wave form diagram which shows the frequency range of body movement. It is a wave form diagram which shows the count parameter | index of a respiratory sound count part. It is a flowchart which shows a main routine. It is a flowchart which shows an audio | voice data acquisition process. It is a flowchart which shows the sleep sound identification process during sleep. It is a flowchart which shows a respiration rate count process. FIG. 6 is a schematic diagram of a sound collecting microphone according to the second embodiment. FIG. 10 is a schematic diagram of an alarm clock according to the third embodiment. FIG. 6 is a schematic diagram of an illumination lamp device according to a fourth embodiment. FIG. 10 is a schematic diagram of furniture according to the fifth embodiment.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 is a bed apparatus, 10 is a bedding contact surface, 12 is a headboard, 2 is a biological information detection apparatus, 20 is a sound collection microphone (sound collection microphone means), 22 is a respiratory sound identification part during sleep, 41 is a sleep sound discrimination means , 42 is a snoring sound discriminating means, 43 is an explosive sound discriminating means, 44 is a breathing sound counting unit, and 50 is a display unit.

Claims (7)

A base installed in the bedroom;
A biological information detection device mounted on the substrate,
The biological information detection device
Sound collecting microphone means for collecting sound related to breathing of a person sleeping on bedding mounted on the base body in a state separated from the person,
Respiratory sound identification during sleep by analyzing a physical quantity related to respiration collected by the sound collecting microphone means and identifying a respiratory sound during sleep as at least one of sleep sound, snoring sound, and explosive sound based on the physical quantity related to respiration And a bedroom installation device.   The bedroom installation apparatus according to claim 1, wherein the living body information detection apparatus includes a display unit that displays information on sounds related to human breathing identified by the sleep breathing sound identification unit.   3. The bedroom installation apparatus according to claim 1, wherein the base body is one of a bed apparatus, an alarm clock, an illumination lamp apparatus, and furniture.   The bedroom installation device according to any one of claims 1 to 3, wherein the sound collection microphone means of the biological information detection device can adjust a sound collection direction.   5. The physical quantity obtained by subtracting background noise from a physical quantity related to the respiratory sound collected by the sound collecting microphone unit, according to claim 1, wherein the sleep respiratory sound identification unit of the biological information detection device is a physical quantity related to the respiratory sound collected by the sound collecting microphone unit. And a breathing sound during sleep is identified as at least one of sleep sound, snoring sound, and explosion sound.   6. The sleep noise identification unit of the biological information detection device according to claim 1, wherein the sleep breathing sound identification unit registers a background noise registration unit that registers background noise and a background noise registered in the background noise registration unit. Subtracting from the physical quantity related to the breathing sound collected by the sound collecting microphone means to obtain a second physical quantity, and analyzing the second physical quantity, the breathing sound generated by the sleeping person is a sleep sound, A bedroom installation apparatus comprising: an identification unit that identifies at least one of a snoring sound and an explosive sound. A base installed in the bedroom;
A biological information detection device mounted on the substrate,
The biological information detection device
Sound collecting microphone means for collecting sound related to breathing of a person sleeping on bedding mounted on the base body in a state separated from the person,
A respiratory rate counting unit that counts the respiratory rate during sleep collected by the sound collecting microphone means;
The respiration rate counting unit is configured so that the time from the generation of sound related to breathing to the end thereof is within the first set time T1, and the time from the time of sound generation related to breathing to the time of sound generation related to the next breathing is the first time. 2 Bedroom setting device, characterized in that when it is equal to or longer than the set time T2, it is counted as a breathing sound.

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