CN103263260A - Physiological parameter detecting system with comb filter and monitoring system for depth of sleep - Google Patents
Physiological parameter detecting system with comb filter and monitoring system for depth of sleep Download PDFInfo
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Abstract
The invention discloses a physiological parameter monitoring system with a comb filter and a monitoring system for the depth of sleep. External interference signals which are transmitted onto a bed from a floor are eliminated by a unique technology so as to improve the measurement precision of the detecting system. A sensor acquires physiological signals of a human body, and data are processed by the comb filter, so that signal waveforms of heart rate numbers, breathing numbers and the turnover frequency of the human body can be acquired, the data of sleep stages are continuously extracted, and a sleep status is presumed according to high-precision pulse and body movement data. In addition, a sleep stage classification technology and a unique sleep presumption technology are adopted for a sleep stage algorithm for speculating the depth of the sleep, so that the sleep stage presumption accuracy is improved, and the measuring system can precisely detect sleep indexes.
Description
Technical field
The present invention relates to physiological detection signal supervisory instrument and detection signal is carried out statistical disposition, and infer dormant sleep measurement system according to the physiological signal that extracts.
Background technology
Sleep has the important function of and muscle power mental from fatigue recovery, can sanatoryly keep and strengthen by guaranteeing high-quality sleep.
For the technology of under nothing constraint, contactless situation, measuring pulse in order to carry out sleep quality to measure, paper publishing and Japanese patent application have been carried out by the present inventor.For example, a kind of Depth of sleep decision method and the decision maker that have proposed, the mattress human body physiologic information of air has been enclosed in its utilization, can judge the variation of the Sleep stages of tested object, perhaps calculates the time of each Sleep stages.
According to described method, consider from the viewpoint of the sleep quality that improves tested object, in order to monitor and analyze sleep information, be used in human body physiological signal between the tested object sleep period, use comb filter to carry out date processing, the subjective sleep parameters of measuring during making this information and relevant tested object being got up that objectively reaches is associated.The present invention proposes a kind of system, and it measures the sleep state of tested object accurately from the viewpoint of the sleep quality that improves tested object.
In existing bed main body, utilize mattress to detect biological information, press in the Depth of sleep decision method and decision maker of change-detection Sleep stages of Sleep stages of tested object, sometimes because of the factor of external environment condition aspect, a large amount of measurement data are damaged, thereby influence is inferred.Because the biological information signal is small, use the hypersensitivity sensor, therefore, also can pick up the signal signal in addition that tested object sends, mainly import into by ground or floor.
In addition, nearest mensuration environment because being difficult to guarantee reasons such as environment unanimity, is set to 2 layers or 2 layers sometimes to go to bed, and Chuan vibration rank is also high sometimes.Therefore, the problem that has Human Physiology information hash in addition how to get rid of the testee.
In the anti-locking system of transfer of vibration, also developed the system that is incorporated with for detection of the vibrating sensor of device and forcibly controls the energy dynamic formula control device of the amplitude that vibrates in recent years.
But, because device maximizes and cost is very high former thereby do not reach practicability.In addition, at the little wheel of elastomeric material that directly is installed on the anti-skidding cushioning effect that has elastomeric material concurrently on the pillar that utilizes at present, be difficult to as preventing efficiently that the system of a transfer of vibration from playing a role.Need exploitation to prevent that with low-cost and realization floor vibration from upward transmitting to this device is purpose, though not having as described, determinator suppresses like that forcibly from installing the effect of the vibration that takes place itself, but can prevent floor vibration to the transmission of bed main body, the anti-vibrating system that the vibration that determinator itself is taken place decays efficiently.
Summary of the invention
The present invention puts in view of the above problems and sets up, its purpose is, a kind of detection system is provided, it is not having the mensuration a plurality of objective parameter relevant with the sleep quality of the tested object on bed of going to bed under constraint, the noncontact, prevent the external vibration that the pillar by bed imports into from the floor, thus, eliminated the signal beyond the physiology signal, compare with the bed of present use, accurately the human body signal.In addition, rely on sensor construction of the present invention, and and the sleep measurement device combined of mat, can carry out the high accuracy judgement to the various information of the occurrence rate of cycle of REM sleep and non REM sleep, corresponding Depth of sleep grade, the actual length of one's sleep of rejecting awakening midway, Sleep efficiency, apnea state and so on.As one embodiment of the present of invention, influence with the floor vibration that alleviates set place is purpose, as shown in figure 13, can be the vibration transfer path from the floor to bed vertically with horizontal direction configuration air spring, suppress the transfer of vibration of vertical component and horizontal component lower.
In the present invention, use the pulse signal in the high sensitivity pressure transducer measurement sleep, the method from pulse signal separates pulse component and the moving component of body accurately adopts comb filter.Moving according to the pulse of separating and body, the index of the dormant index of expression REM with the degree of depth of expression sleep defined.In addition, designed according to each Sleep stages average originating rate of age differentiation and the computing function of standard deviation.The algorithm that motion is inferred Sleep stages about index and the use function of these two sleeps.Sleep to 20 nights of 10 male's tested objects (22.2 years old mean age), the result of the Sleep stages of calculating with the method for this motion and the Sleep stages of R-K method compares, be divided into 6 stages (awakening, REM, Non-REM1,2,3,4) in sleep level, be divided into 5 stages (awakening, REM, Non-REM1,2,3/4), when being divided into 3 stages (awakening, REM, Non-REM), the meansigma methods of concordance rate separately is 51.6%, 56.2%, 77.5%.In addition, the meansigma methods of k statistic is 0.29,0.39,0.48.
Current, as the international standard use R-K method that is used for holding the state of sleeping.
This method is 6 stages such as awakening, REM sleep, Non-REM sleep 1,2,3,4 based on E.E.G, ocular movement, jaw muscle electricity with the state classification of sleeping.But the attachment of electrodes that this method needs to be used for to measure E.E.G, ocular movement, jaw muscle electricity is in head, face, and jaw, therefore, and restrictive height.In addition, install to extensive and price is high, therefore, the individual uses difficulty every day at home.Be used for monitoring that without restrictions dormant basic research has a plurality of reports so far at home.These reports are all inferred sleep state according to being moved by the measured pulse of the sensor that is arranged at the no restricted type on the bed and body etc.
On the one hand, the invention provides a kind of detection system, on the bed of tested object, at least more than one nothing constraint, contactless sensor are set, detect a plurality of physiology signals of moving, the breathing of the h.d. body relevant with sleep quality in bed of above-mentioned tested object, heart beating and so on, use comb filter that described physiological signal is carried out date processing then, extract and be accompanied by dormant pulse signal and the moving signal of body.
On the other hand, the invention provides a kind of detection system, on the bed of tested object, at least more than one nothing constraint, contactless sensor are set, detect a plurality of physiology signals of moving, the breathing of the relevant body of the sleep quality of h.d. in bed of above-mentioned tested object, heart beating etc., use comb filter that described physiological signal is carried out date processing then, extract and follow dormant heartbeat and body to move.
On the other hand, the invention provides a kind of Depth of sleep monitoring system, it comprises aforesaid detection system, also comprise according to the heart beating of being extracted by described signal extracting device, breathe and stand up each moving frequency signal waveform of body, infer and export the estimating device of the Sleep stages of described tested object continuously, judge Depth of sleep according to the change figure of the Sleep stages of this estimating device output.
Description of drawings
Fig. 1 air pressure mode is measured the principle of pulse;
The human body signal that Fig. 2 measures in the air pressure mode;
Frequency-the gain characteristic of Fig. 3 comb filter;
Fig. 4 uses comb filter group's heart rate to infer;
The average originating rate of each Sleep stages at each age of Fig. 5 and standard deviation;
The distribution of Fig. 6 REM Sleep stages;
Fig. 7 awakening stage, the distribution of Non-REM Sleep stages;
Fig. 8 measuring system;
The heart rate number that Fig. 9 comb filter/FFT calculates respectively with the comparison of the heart rate number of ECG;
Figure 10 REM sleep index and δ ripple, spindle wave, oculomotor comparison rapidly;
The comparison of Figure 11 Depth of sleep index and δ ripple;
The comparison of Figure 12 Sleep stages;
The anti-vibration shape sensor signal of Figure 13 footpost portion is accepted the example of mechanism.
The specific embodiment
2. the embodiment of pneumatic mode
2.1 pneumatic mode
Fig. 1 represents the principle of the pneumatic mode of inventor's motion.Below the mattress of home-use bed (or below cotton-padded mattress), the air matting of the ethylene system about laying depth 5mm.The intrinsic pressure of air matting is the pressure identical with atmospheric pressure, when the people lies on the mattress, and pulse and stand up etc. that the body of formation is moving to be propagated to the air in the air matting by mattress.
The pressure of measuring this air with hypersensitivity pressure transducer (PRIMO of Co., Ltd. S11-M2 processed) changes.
Pressure transducer can be measured the pressure oscillation of 0.2Pa-2Pa, has flat frequency characteristic [13] with 0.1-3kHz, and the signal of being measured by pressure transducer is transfused to the human body signal split circuit.
In the human body signal split circuit, by behind the band filter of 5-10Hz, implement all wave rectification, envelope processing and output.The heart rate number of people in the sleep is about 0.8Hz～1.5Hz, but has harmonic component in the waveform of being measured by pressure transducer, carries out filtering with S/N than 5 higher relatively～10Hz.
2.2 problem log
In the present invention, use is as follows with the motion of the pneumatic mode measuring-signal of Fig. 1.
(P1) according to output signal, separate the method for the moving component of pulse component and body accurately.
(P2) index of definition expression REM sleep.
(P3) index of definition expression Depth of sleep.
(P4) according to the average originating rate of calculating each Sleep stages of the age bracket of healthy population definition, the function of standard deviation.
(P5) propose to infer the R-K method algorithm of Sleep stages in turn.
3. comb filter
(P1) studies to problem, and inventors implement FFT and handle sensor output data, according to basic wave, harmonic component and other the component of pulse, the moving component of pulse component and body separated [9-12].But, following the body disorder of internal organs that stands up etc. to contain near the heart rate number low frequency component more, therefore, the heart rate number of asking for according to the peaks spectrum of FFT contains error sometimes.
In the present invention, propose to have a kind of method, it is in order to effectively utilize the harmonic component of pulse component, and it is moving to separate pulse and body accurately, has used comb filter.
The signal of output is taken a sample with Δ t=0.01sec in body signal separates, and saves as time series data shown in Figure 2.1min discrete time at interval is made as k, k=1,2 ..., T
IdT
IbIt is the total time that tested object couches and measures in bed.The discrete time of each Δ t in the 1min of discrete time k is made as l, l=1,2 ..., N (=60/ Δ t).Be made as xk(l at the pulse component with discrete time k, l), the moving component of body is made as n
k(l) time, the output yk(l of body signal split circuit) as (1) formula with the linear of pulse component and the moving component of body with represent.
y
k(l)＝x
k(l)+n
k(l) （1）
As long as according to the separable pulse component of (1) formula and the moving component of body, just can infer the heart rate number accurately.When the Dead Time of comb filter is made as T, τ in discrete time=T/ Δ t.In addition, the feedback oscillator with comb filter is made as g(0≤g≤1).
At this moment, the moving component of the pulse component of discrete time k, l and body gives as the output of the comb filter of (2) formula, (3) formula.
Fig. 3 (a) and (b) are represented the frequency-gain characteristic of the comb filter of (2) formula, (3) formula.
(2) wave filter of formula such as Fig. 3 (a) have peak value under the frequency of integral multiple of the DC component that is shown in and 1/T.Conversely, gain is 0 under the wave filter of (3) formula such as Fig. 3 (b) be shown in frequency identical with the crest frequency of Fig. 3 (a).The acuity of the peak value of the frequency characteristic of Fig. 3 (a) and (b) changes according to feedback oscillator g, is becoming sharp near 1 o'clock.In (2) formula, (3) formula, under the situation about approaching in T and genuine heart rate cycle, the wave filter of (2) formula makes the amplitude amplification of pulse component, and conversely, the wave filter of (3) formula makes the decay of pulse component, makes body move aliquot amplification.At this, as shown in Figure 4, be arranged with 78 Dead Time T side by side and be respectively 0.66s, 0.67s, 0.68s ..., 1.43s the comb filter of (2) formula.The Dead Time T=0.66s of the 1st comb filter, crest frequency are the integral multiple of 1.51Hz, therefore, and with the resonance pulse of 90 times/min.Similarly, the Dead Time T=1.43s of the 78th comb filter, crest frequency are the integral multiple of 0.7Hz, therefore, and with the resonance pulse of 42 times/min.In the heart rate number of per 1 minute kind, the resolution of the Dead Time of these comb filter is 60 Δ t/T
2, when 90 times/min, be 1.35 times/min, when 42 times/min, be 0.29 time/min.Therefore, these 78 comb filter groups can cover the pulse of 0.82 time/min of average resolution in the scope of 42 times/min～90 time/min.With observation signal y
k(l) this comb filter of input group in parallel compares the output from each comb filter
Amplitude.Infer output amplitude maximum wherein
The Dead Time of comb filter, as the heart rate cycle.Then, to the Dead Time T that infers as this heart rate cycle, the output of (3) formula
Make the decay of pulse component, on the contrary, make body move aliquot amplification.Thus, can the moving size of putative aspect.
4. sleep index
4.1 be the index of feature with the REM sleep
(P2) studies to problem.
The comb filter definition of (2) formula of use is about the index of REM sleep.
The REM sleep has following feature [2,14]:
(1) expression and Non-REM1 and the similar E.E.G of awakening.
(2) occurrence frequency of δ ripple, spindle wave reduces.
(3) the nervous complete obiteration of antigravity muscle.
(4) ocular movement rapidly appears.
(5) Pulse Rate, Respiration Rate increase, and rhythm is irregular.In addition, increased blood pressure.
(6) under adult's situation, the REM sleep appears with cycle of average 90～100min.
(7) moving concentrated at the forebody-afterbody of REM sleep.
In the R-K method, the judgement of REM Sleep stages is E.E.G, jaw muscle electricity, ocular movement emphatically shown in feature (1)～(4).In the present invention, the feature (5) according to pneumatic mode is conceived to " rhythm of heart rate number becomes irregular when REM sleeps ".
Data y with preceding half 30s of the 1min data of discrete time k
k(1), y
k(2), y
k(3) ..., y
k(N/2) the comb filter group of input Fig. 4.At this moment output
Amplitude be maximum, the Dead Time that is estimated as the heart rate cycle is made as
Similarly, to the data y of the later half 30s of discrete time k
k(N/2+1), y
k(N/2+2), y
k(N/2+3) ..., y
k(N), with amplitude
Becoming maximum Dead Time is made as
Thus, the variation of the later half heart rate number of the preceding half-sum among the 1min of this discrete time k is used
Expression.Use k=1,2 ..., T
IbCarry out same processing, carry out rolling average with a front and back q data, ask for the index of the state of expression REM sleep.
From the feature (5) of REM sleep as can be known, this index keeps big value when REM sleeps.
4.2 sleeping with awakening, Non-REM is the index of feature
(P3) studies to problem.The comb filter of (2) formula of use, (3) formula,
Definition is about the index of the degree of depth of sleep.
The Non-REM sleep
(1) proportional with the degree of depth of sleep, the occurrence frequency of δ ripple uprises.
(2) in Sleep stages Non-REM2, spindle wave takes place.
(3) along with sleep deepens gradually from wakefulness, the moving size of body diminishes, and occurrence frequency tails off.
(4) Pulse Rate is along with sleep deepens and step-down.
(5) Non-REM1 is sometimes at Non-REM3,4 or after REM sleep takes place, and is moving and occur along with big body.
With the situation of REM sleep similarly according to the speciality of pneumatic mode, by the feature " along with sleep deepens, the moving size of body diminishes, and occurrence frequency tails off " of feature (3), the depth index of definition sleep.
The output of the comb filter of (3) formula of the Dead Time T that approaches with the heart rate cycle
Make the decay of pulse component, make body move aliquot amplification.The mean amplitude of tide that to export in discrete time k is made as
The occurrence frequency that body moves in shallow sleep is many,
Become bigger value, in the deep sleep, become less value.
The sensor output signal level is because of bedding and tested object or sleeping position difference.For should the difference benchmark, with the sensor output y of discrete time k
k(l) mean amplitude of tide is made as
With
Remove
And obtain
In addition,
Having under the moving situation of body and do not having significantly variation under the moving situation of body, even almost do not having under the moving state of body small variation is arranged also.Move the big variation that causes in order to control this body, and small variation is amplified, obtain
Logarithm, as the expression Depth of sleep index.
This index becomes little value when deep sleep, become big value along with shoaling.
5. Sleep stages infers
5.1 the occurrence rate of the Sleep stages that the age is different
(P4) studies for problem, the average occurrence rate of each Sleep stages at its age and the function of outputting standard deviation when determining the actual age of input test object.This function determines with 4 curve approximations the occurrence rate at each Sleep stages of 3 years old～92 years old 306 people of list of references [15-18].
The occurrence rate of each Sleep stages represents that with (6) formula standard deviation is represented with (7) formula.(6) formula, (7) formula are represented respectively each Sleep stages.Table 1 expression coefficient c
0～c
4And coefficient of determination R
2
f
x＝c
4a
4+c
3a
3+c
2a
2+c
1a+c
0 （6）
δf
x＝c
4a
4+c
3a
3+c
2a
2+c
1a+c
0 （7）
Table 1 (6) formula, coefficient and the coefficient of determination of (7) formula
X represents each Sleep stages.The domain of definition of a is set at 306 people's that become the data basis that makes this function age amplitude 3～92.(6) formula, (7) are even formula is set at number of times more than 5 times, and the coefficient of determination is also almost constant, therefore, are set at 4 times.The average occurrence rate of each Sleep stages that Fig. 5 (a) expression usefulness (6) formula is represented.
In addition, Fig. 5 (b) represents the standard deviation of each Sleep stages average originating rate that usefulness (7) formula is represented.
Shown in Fig. 5 (a), f
Wake+ f
REM+ f
NR1+ f
NR2+ f
NR3+ f
NR4=100[%] set up.
The occurrence rate of sleep increased along with the age and the occurrence rate of awakening rises, and the occurrence rate of opposite deep sleep reduces.
5.2 inferring of Sleep stages
(P5) studies to problem.
Inferred the time of REM sleep by REM sleep index RSI (k), (6) formula, (7) formula.
With actual age substitution (6) formula of tested object, a of (7) formula, ask f
REM, δ f
REM
The occurrence rate of REM sleep at this moment is set in f
REM± δ f
REMIn the scope.
As shown in Figure 6, REM is slept index RSI (k) by the rank order that descends, at f
REM± δ f
REMScope in, keep when moving the time band of above RSI (k) to distribute the length of one's sleep as REM with maximum body takes place.This is the feature (7) of having utilized the REM sleep.
The time of secondly, distributing awakening, Non-REM sleep 1,2,3,4 according to SDI (k), (6) formula, (7) formula.
To press the rank order of decline shown in Figure 7 except the Depth of sleep index S DI (k) that the time of REM sleep is with.
With the situation of REM sleep similarly with actual age substitution (6) formula, (7) formula of tested object,
Obtain the occurrence rate of awakening, Non-REM1,2,3,4 each Sleep stages.
At this moment the occurrence rate of each Sleep stages is set in respectively in the following scope:
Awakening: [f
Wake-δ f
NR1, f
Wake+ δ f
Wake]
Non－REM1：[f
NR1-δf
NR2,f
NR1+δf
NR1]
Non－REM2：[f
NR2-δf
NR3,f
NR2+δf
NR2]
Non－REM3：[f
NR3-δf
NR4,f
NR3+δf
NR3]
Non－REM4：[f
NR4-δf
NR3,f
NR4+δf
NR4]
The occurrence rate of awakening and Non-REM1 and REM sleep are same, will be set at its occurrence rate in the moving big position of body in scope separately.Non-REM2,3,4 occurrence rate, by the rank order that descends, the big place that tilts is set at its occurrence rate with SDI (k), so distributes awakening, Non-REM1,2,3,4 Sleep stages.
After having distributed each Sleep stages, turn back to original time series, as R-K method Sleep stages in turn.
6. testing authentication
6.1 tested object and test environment
Tested object with 10 of the male of health adult (A～J), 22.2 years old mean age are object, obtain informed consent after, measure 20 evenings.
Fig. 8 represents the measurement situation.
Adopt the moving measurement of pneumatic mode pulse and body.As the relatively usefulness of pulse, Sleep stages, by polygraph (SANYOFIT2500NEC three honor), ECG, E.E.G and ocular movement have been measured simultaneously.
6.2 the checking of the effectiveness of comb filter
About the effectiveness of problem (P1), to using heart rate number that comb filter infers and comparing checking by the heart rate number that FFT infers.
With the comb filter group of data input Fig. 4 of the 2nd Dinner (being made as J-2 later on) of tested object J and infer the heart rate number.This comb filter group's feedback oscillator is g=0.95.
In addition, ask per 1 minute heart rate number of J-2 with FFT.As the reference of heart rate number from the data read R-R of ECG at interval, ask the average heart rate number of every 1min.Fig. 9 (a) represents the heart rate number of being inferred by comb filter and the heart rate number of being asked for by ECG, and Fig. 9 (b) represents the heart rate number of being inferred by FFT and the heart rate number of being asked for by ECG.In 10min～100min, the heart rate number that is undertaken by comb filter infers as a result that this side compares with the result that infers of FFT, and is little with the error of the heart rate number of ECG.Respiratory components and body are moving to wait sneaking into of low frequency noise because this time has, therefore think usefulness have amplification to the comb filter of the characteristic of harmonic wave to infer the result correct.To the data of whole tested objects, inferred the heart rate number with comb filter, FFT, ECG.The square mean error of the heart rate number that the table 2 expression FFT by comb filter infers and the heart rate number asked for by ECG.
Inferring among the result of comb filter has 17 kinds of situation errors little in 20 kinds of situations.Inferring among the result of comb filter, the meansigma methods of the error also error than FFT result is little.
The heart rate of the sum of errors FFT of the heart rate number of table 2 comb filter is counted the comparison of error
6.3REM the checking of the appropriate property of sleep index
The effectiveness of validation problem (P2).
Figure 10 represents that δ ripple, the spindle of the E.E.G that RSI (k) with C-3 and polygraph are measured involve oculomotor incidence rate rapidly.
(4) the rolling average number of times of the RSI of formula (k) is q=10.When RSI (k) kept big value, the change of heart rate number was big, therefore, compares the probability height of REM sleep with the feature (5) of REM sleep.
The incidence rate of time of the Lycoperdon polymorphum Vitt of Figure 10 band expression δ ripple, spindle wave is little, and oculomotor occurrence number uprises rapidly, the REM sleep be characterized as (2), (4) feature.
The big value of REM sleep index RSI (k) expression in identical time band.
In addition, the position that the value of RSI (k) is big occurred with about 100 minute cycle, the feature of (6) of REM sleep occurred.This is to be illustrated in the REM sleep, and the state of its feature (2), (4) and (5) takes place simultaneously, therefore, can be inferred the generation of REM sleep by index RSI (k).
6.4 the checking of the appropriate property of Depth of sleep index
For problem (P3) checking effectiveness.
(3) formula is made as the mean amplitude of tide of (5) formula of g=0.8
Rolling average by 10 data is obtained.
Figure 11 represents SDI (k) and the δ ripple of C-3.
In the time band of the Lycoperdon polymorphum Vitt of Figure 11, the occurrence rate height of δ ripple from Non-REM sleep characteristics (1) as can be known, is positioned at dark sleep state.The little value of SDI (k) expression in this time band.
This is to represent therefore, can infer the degree of depth of sleep according to the depth index SDI (k) of sleep owing to the feature (1) of Non-REM sleep, the state of (3) take place simultaneously.
6.5 inferring of Sleep stages
For the effectiveness of (P5), use the algorithm in the 5th chapter, narrate and judge Sleep stages, compare with the Sleep stages of judging by the R-K method.Figure 12 represents RSI (k), the SDI (k) of the data of C-3, the Sleep stages of inferring and the Sleep stages that determines with the R-K method.
Relatively when the Sleep stages of being inferred by, SDI (k) and the Sleep stages of inferring with the R-K method, as be in the about 100 minute cycle the REM sleep characteristics (6) rhythm happening part or towards dawn the integral body such as appearance that the direction Sleep stages shoals shape similar.Yet, near 100 minutes, 280 minutes, be judged to be the situation of Non-REM4 with respect to the method that proposes, in the R-K method, be judged to be Non-REM2.
In addition, near 470min, be judged to be Wake in the method for proposition, but in the R-K method, be judged to be REM.Compare in 5 stages (awakening, REM, Non-REM1,2,3/4) [19], 3 stages (awakening, REM, Non-REM) that unite two into one with 6 stages (awakening, REM, Non-REM1,2,3,4), with Non-REM3,4 respectively to the Sleep stages judged with the method that proposes, with the Sleep stages of R-K method judgement.
Comparative approach uses T
IbThe ratio (consistent number/T of number of result of determination unanimity of two kinds of methods
Ib) * 100[%] and concordance rate, k statistic.Concordance rate k statistic when table 3 expression is divided into 6 stages, 5 stages, 3 stages with the Sleep stages of full tested object, meansigma methods and standard deviation separately.
The concordance rate of the Sleep stages of the mode of table 3 motion and R-K method and κ statistic
Concordance rate when the Sleep stages of sleep=537min of the Dinner of Figure 12 was 6 stages is 52.1%, the k statistic is 0.25, and the concordance rate when Sleep stages was 5 stages is that 58.7%, k statistic is 0.38, concordance rate when Sleep stages was 3 stages is that 79.5%, k statistic is 0.46.
7. same with the tested object of C-3, the concordance rate of each Sleep stages number of the tested object of table 3 and k statistic tail off along with number of stages and rise.
Be under the situation in 6 stages at Sleep stages, average 36.4% with respect to the concordance rate of document [12], the meansigma methods of concordance rate rises to 51.6%.
The meansigma methods of k statistic at this moment is 0.29, also comprises the accidental consistent error that causes.
In addition, when Sleep stages was 5 stages, the meansigma methods of concordance rate was rising 4.6% in 56.2% o'clock, with respect to this, is 77.5% in 3 stages.
This is more than the inconsistent rate of the judgement between Non-REM3 and the Non-REM4 because of the inconsistent rate between Non-REM1, Non-REM2, the Non-REM3/4.
The k statistic is 0.39 when 5 stages, is 0.48 when 3 stages, and figure and the REM that can hold the overall situation of sleep sleeps, the rhythm of Non-REM sleep.
According to aforesaid method, be used in the tested object constraint, do not have between the invasion and attack sleep period, detect that the body relevant with the sleep quality of tested object is moving, the health bio signal of breathing, heartbeat and so on, use comb filter to carry out date processing, the parameter correlation connection of measuring during making this information and relevant tested object being got up that objectively reaches subjective sleep.
Consider the sleep that to measure tested object accurately from the viewpoint of the sleep quality that improves tested object.But, especially implementing being used for the measuring chamber that above-mentioned data obtain and can carrying out of soundproof, vibrationproof, but in general society, be the comparison difficulty economically.Therefore, when the place being set being the bedroom of general ward, family, in the vibration proofs such as rubber rumble that are utilized at present, directly be installed on the anti-skidding buffer of the elastomeric material on the pillar, mobile wheelchair transmit, for the vibration from the floor, it is very difficult to prevent transfer of vibration and carry out the measurement of high-quality ground.
The present invention is in view of above-mentioned problem, and formation is prevented from importing into from the floor vibration proof transfer device of the structure that the external vibration of the pillar of bed transmits, and is set at following formation.
For example, motion has a kind of vibration proof transfer device, it is arranged at a plurality of sensors on the bed of the tested object that does not have in the sleep in use, detect the physiology signal of h.d. in bed, use comb filter to carry out date processing, extraction is accompanied by in the moving detection system of dormant pulse and body, the vibration transfer path from the floor to bed vertically with horizontal direction configuration vibration proof transferring elements, cut off the transfer of vibration of vertical component and horizontal component.
Figure 13 represent the vibration proof transfer device the 1st scheme examples of implementation.In the device of reality, use a plurality of (being generally 4) buffer cell, but this figure is an one side view.
In this configuration example, in order to prevent possessing usually in the transmission of the floor vibration that the position is set: be used for the Z direction (above-below direction) of resilient supporting unit 1 air spring 304, be used for the vibration proof mechanism of this vertical direction of supporting and be fixed in connecting axle 302, the fixed air spring 304 on the pillar and in the buffer moving range, keep horizontal direction movement urceolus 303 and also for the damping characteristics of the Z direction of improving air spring 304 and the buffer of establishing 305.This buffer 305 is fixed in the bottom of device, and when the high vibrationproof of the buffering that is used for carrying out the Z direction, urceolus 303 is fixed on the floor 300.
During the tested object bunk bed, because an end applies the above load of behaviour in service, therefore, become an end 302a and urceolus 303 butts of connecting axle 302, air spring 304 can not apply necessary above load.On the other hand, under the unearthed situation of bed pillar, the other end 302b of the groove of connecting axle 302 and urceolus 303 be butt and can not expanding to beyond the required scope still, and this just makes air spring 304 keep intact.
The pneumatics P0kg/cm**2 of air spring 304 is the weight W 2kg addition of body weight W1kg and the bed ensemble of tested object, be W0kg, if the bed of 4 supportings, even load partially, on average also be 1/4, when setting the contact area S cm**2 of W0/4kg air spring 304, available pneumatics P=W0/4S kg/cm**2 calculates.As near the flexible buffer flexible in vibration transfer path of this calculating, be set at vertically and dispose with horizontal direction, the transfer of vibration of vertical component and horizontal component can be suppressed be lower flexible buffer, be effective generally speaking.
The 2nd scheme, it is characterized in that, implement the vibration proof transferring elements, because spring has kept the capable of expansion and contraction of bed pillar, hang from the bed main body via the pulley that is installed on a pillar and with rope, and be absorbed in the up-down vibration vertically, the extension spring of the vibration of vertical component on being installed on rope flexible, the vibration of horizontal component is absorbed in by the movement of rope as putting of hanging.By lengthening for the parts that dangle, also the intrinsic vibration number of horizontal direction can be suppressed for quite low.
The vibration proof transfer device of the third aspect, it is characterized in that, the vibration proof transferring elements uses Magnet, and it vertically disposes opposite Magnet or electric magnet with horizontal direction in the noncontact mode on the vibration transfer path from the floor to bed, prevent the transfer of vibration of vertical component and horizontal component.
The vibration proof transfer device of fourth aspect, it is characterized in that, the vibration proof transferring elements makes the bed main body that floating material is installed float over a pillar or the adding that is set directly on the floor has in the tank of liquid, in the mode that tank and described bed main body are not joined holding member is installed, is made liquid between bed main body and tank and absorb vibration.
The vibration proof transfer device of the 5th aspect, it is characterized in that, conduct to a body from the vibration on ground through footpost, the axis of guide that sliding eye is arranged is installed as amortisseur under footpost, when the pressure that is subjected to from the bed body, bed cognition is slided in the axis of guide, elastomer (air packing ring) is housed in the axis of guide, the horizontal direction of bed body and the position of vertical direction are moved all to add and are pressed on the elastomer (air packing ring), elastomer (air packing ring) is equivalent to passive vertical flexible compression spring, is added with lubriation material between the axis of guide and the elastomer.
Claims (14)
1. detection system, use is arranged on the bed of tested object, at least more than one nothing constraint, contactless sensor, the body relevant with sleep quality that detects the described tested object of h.d. in bed is moving, a plurality of physiology signals of breathing, heartbeat and so on, it is characterized in that, use comb filter that described physiological signal is carried out date processing, extract and be accompanied by dormant pulse signal and the moving signal of body.
2. detection system as claimed in claim 1 is characterized in that, described detection system comprises eliminates the structure of importing external signal by bed on the pillar that is arranged on bed.
3. detection system as claimed in claim 2 is characterized in that, when using mattress in bed, described detection system is provided with the inside pneumatics power that detects this mattress, the body motion detection device that is made of pressure transducer.
4. detection system as claimed in claim 2 is characterized in that, described detection system is provided with and detects bed body vibration, the body motion detection device that is made of acceleration transducer.
5. detection system as claimed in claim 2 is characterized in that, described detection system be provided with detect follow that a body of last h.d. tested object moves, the body of breathing, heartbeat moves, the checkout gear that is made of position sensor.
6. detection system, use is arranged on the bed of tested object, at least more than one nothing constraint, contactless sensor, detect with described tested object in bed the relevant body of the sleep quality of h.d. move, a plurality of physiology signals of breathing, heartbeat etc., it is characterized in that, use comb filter that described physiological signal is carried out date processing, extract and follow dormant heartbeat and body to move.
7. detection system as claimed in claim 6 is characterized in that, described detection system have be arranged on the bed pillar and the bed main body connecting portion, the elastomer with vibration proof transmission characteristic prevents the transmission from floor vibration.
8. detection system as claimed in claim 7, it is characterized in that, the described vibration proof transfer elastic body that is arranged at the connecting portion of pillar and bed main body, spring by metal or plastic cement constitutes, supporting role is at the load of the connecting portion of pillar and bed main body, simultaneously, absorb the vibration of transmitting by pillar from the floor, prevent from vibrating the transmission to the bed main body.
9. detection system as claimed in claim 7, it is characterized in that, the described vibration proof transfer elastic body that is arranged at the connecting portion of pillar and bed main body, transmitting material by the vibration proof that is sealed with gas constitutes, supporting role is at the load of the connecting portion of pillar and bed main body, simultaneously, absorb the vibration of transmitting by pillar from the floor, prevent from vibrating the transmission to the bed main body.
10. detection system as claimed in claim 7, it is characterized in that, the described vibration proof transfer elastic body that is arranged at the connecting portion of pillar and bed main body, by rubber itself or the gum elastic that in rubber, becomes with air bubble expansion, supporting role is at the load of described connecting portion, simultaneously, absorb the vibration of transmitting from the floor, prevent from vibrating the transmission to the bed main body.
11. detection system as claimed in claim 7 is carried out not the setting of the sensor that the sleep to tested object exerts an influence, and adopts a plurality of described sensor that is used for monitoring physiological parameter and ambient parameter.
12. Depth of sleep monitoring system, it comprises claim 1 or 6 described detection systems, also comprise according to the heartbeat that is extracted by described signal extracting device, breathe and stand up each moving frequency signal waveform of body, infer and export the estimating device of the Sleep stages of described tested object continuously, judge Depth of sleep according to the change figure of the Sleep stages of being exported by described estimating device.
13. Depth of sleep monitoring system as claimed in claim 12, it is characterized in that, the elastomer bed pad of sensor is housed in the configuration between the health of tested object and bed, extract heartbeat, breathe and stand up the signal of body dynamic frequency from the output signal of the moving body motion detection device of the body that detects tested object, judge Depth of sleep according to the evolutionary mode of Sleep stages.
14. Depth of sleep monitoring system as claimed in claim 12, it is characterized in that, in the time of on tested object is gone to bed the elastomer bed that is being made of mattress, the Depth of sleep monitoring system is provided with the body motion detection device that the pressure transducer of the internal pressure that detects this mattress constitutes.
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Free format text: CORRECT: ADDRESS; FROM: 100193 HAIDIAN, BEIJING TO: 100085 HAIDIAN, BEIJING |
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Effective date of registration: 20141114 Address after: 100085 Beijing city Haidian District Qinghe woolen Road No. 26 Building No. 1, 1B1401 language Qing Yuan Applicant after: Song Jun Address before: 100193, room 2, building 2344, incubator of Beijing Zhongguancun Software Park, Haidian District, Beijing, Northeast China Applicant before: Beijing Boshi Linkage Technology Co., Ltd. Applicant before: Song Jun Applicant before: Kurihara Yosuke Applicant before: Watanabe Kajiro |
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Denomination of invention: Physiological parameter detecting system with comb filter and monitoring system for depth of sleep Effective date of registration: 20180814 Granted publication date: 20160907 Pledgee: Zhongguancun Beijing technology financing Company limited by guarantee Pledgor: Song Jun Registration number: 2018990000687 |
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Date of cancellation: 20210323 Granted publication date: 20160907 Pledgee: Zhongguancun Beijing technology financing Company limited by guarantee Pledgor: Song Jun Registration number: 2018990000687 |
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Effective date of registration: 20210408 Address after: 100193203, 2 / F, building 10, Zhongguancun Software Park, 8 Dongbeiwang West Road, Haidian District, Beijing Patentee after: BEIJING BOSHI LINKAG TECHNOLOGY Co.,Ltd. Address before: 1b1401, building 1, Yanyu Qingyuan, No.26, Qinghe Maofang Road, Haidian District, Beijing 100085 Patentee before: Song Jun |