CN106667436A - Sleep diagnosis method and system - Google Patents
Sleep diagnosis method and system Download PDFInfo
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- CN106667436A CN106667436A CN201611180467.4A CN201611180467A CN106667436A CN 106667436 A CN106667436 A CN 106667436A CN 201611180467 A CN201611180467 A CN 201611180467A CN 106667436 A CN106667436 A CN 106667436A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
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Abstract
The embodiment of the invention provides a sleep diagnosis method and system and relates to the technical field of medical equipment. The method comprises the steps that a physiological information acquisition device worn on the head of a to-be-diagnosed person acquires the physiological information and body motion information of the to-be-diagnosed person, and uploads the physiological information and the body motion information to a cloud terminal to store the information; physiological signal data and body motion signal data of the to-be-diagnosed person are obtained from the cloud terminal through a doctor terminal, and the physiological information and the body motion information are analyzed to obtain a sleep diagnosis report of the to-be-diagnosed person; the sleep diagnosis report is returned to a mobile terminal bound to the to-be-diagnosed person through the doctor terminal to be displayed. The sleep diagnosis method and system can achieve remote sleep diagnosis, the diagnosis efficiency is improved, the reliability of a diagnosis result is ensured, and the user experience is improved.
Description
Technical field
The invention belongs to technical field of medical equipment, more particularly to a kind of sleep diagnostic method and system.
Background technology
With the improvement of living standards with the quickening of rhythm of life, modern increasingly pays close attention to the sleep health of itself and asks
Topic.Research shows that the time in all one's life about 1/3rd of people is spent in sleep, the quality and the psychology of people of sleep
It is closely bound up with healthy.There are many people to have serious sleep quality problem according to statistics, be mainly manifested in sleep evening, sleep
Less and sleep the aspect such as not steady and sure, it is therefore necessary to provide a kind of sleep diagnostic device to help people to improve the health care of sleep quality.
The sleep quality of people is typically diagnosed using invasive multichannel polysomnograph in the prior art, it is this to examine
Disconnected device needs to place electrode on the scalp of the person of being diagnosed, face and chin, and the sleep for gathering the person of being diagnosed by electrode is special
Reference ceases, the sleep characteristics for then being collected according to electrode by the sleep monitor recorder being connected with the electrode by the communications cable
Information traces the sleep characteristics track of the person of being diagnosed, and in whole checking process, clinician must observe in next door room
The sleep characteristics track of the person of being diagnosed that sleep monitor recorder is traced, then judges to be diagnosed according to the sleep characteristics track
The sleep state of person, and diagnoses and treatment is carried out to it according to its sleep state.This diagnostic mode must allow the person of being diagnosed to sleep
In the diagnostic test room of clinician, usually occur causing that diagnostic result deviation is very big because the person's of being diagnosed adaptation effect is bad
Situation, and long-range sleep diagnosis cannot be realized, Consumer's Experience is poor.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of sleep diagnostic method and system, it is intended to solves existing sleep and examines
Disconnected mode must allow the person of being diagnosed to sleep in the diagnostic test room of clinician, usually occur because the person's of being diagnosed adaptation effect is bad
And the very big situation of diagnostic result deviation is caused, and long-range sleep diagnosis cannot be realized, the poor problem of Consumer's Experience.
The embodiment of the present invention is achieved in that a kind of sleep diagnostic method, including:
The physiologic information and body for gathering the person of being diagnosed by the physiology information detecting device for being worn on the person's of being diagnosed head are dynamic
Information, and the physiologic information and the body movement information are uploaded into high in the clouds stored;
The physiological signal data and body movement signal data of the person of being diagnosed are obtained from the high in the clouds by doctor terminal, and to institute
State physiologic information and body movement information is analyzed the sleep diagnosis report for drawing the person of being diagnosed;
The sleep diagnosis report is back to by the person of being diagnosed by the doctor terminal and binds mobile terminal in advance
Shown.
On the basis of above-mentioned technical proposal, it is described the physiologic information and body are moved to be analyzed draw the person's of being diagnosed
Sleep diagnosis report includes:
The sleep state of the person of being diagnosed according to the physiologic information and body movement information analysis draw;
The corresponding sleep diagnosis report of sleep state generation according to the person of being diagnosed, the sleep diagnosis report includes
The sleep state of the person of being diagnosed and the therapeutic scheme corresponding with the sleep state.
It is described that described being examined is drawn according to the physiologic information and body movement information analysis on the basis of above-mentioned technical proposal
The sleep state of disconnected person includes:
The physiologic information and the body movement information are pre-processed, the physiologic information includes brain wave signal data,
Also include one or more in ecg signal data, breath data and blood oxygen saturation data;
The characteristics of EEG of the person of being diagnosed according to the brain wave signal data acquisition;
The characteristics of EEG is matched from the characteristics of EEG template under the different sleep states for pre-building;
If finding the characteristics of EEG template matched with the characteristics of EEG, the characteristics of EEG template institute for matching is right
The sleep state answered is the sleep state of the person of being diagnosed;
If not finding the characteristics of EEG template matched with the characteristics of EEG, with reference to the body movement information and described
Other physiological datas in physiologic information judge the sleep state of the person of being diagnosed, and described other physiological datas are believed including electrocardio
One or more in number, breath data and the blood oxygen saturation data.
It is described that pretreatment bag is carried out to the physiologic information and the body movement information on the basis of above-mentioned technical proposal
Include:
The physiologic information and the body movement information are filtered using constant digital filter is linearly moved, are filtered pre-
If the interference data outside frequency range;
Enter lines per second sampled point weighted average to the physiologic information and body movement information after filtering process, remove the physiology letter
Abnormity point in breath and the body movement information;
Treatment is filtered to the physiologic information and body movement information that remove abnormity point using power frequency notch filter, is gone
Except the power frequency interference signals in the physiologic information and body movement information.
It is described that the sleep diagnosis report is back to by institute by the doctor terminal on the basis of above-mentioned technical proposal
Stating the person of being diagnosed and binding in advance before mobile terminal is shown also includes:
The doctor in charge of the doctor terminal prompting person of being diagnosed is audited and school to the sleep diagnosis report
It is accurate.
On the other hand, the embodiment of the present invention also provides a kind of sleep diagnostic system, including:
The physiology information detecting device of the person's of being diagnosed head is worn on, the physiologic information and body for gathering the person of being diagnosed are dynamic
Information, and the physiologic information and body movement information are uploaded into high in the clouds;
The high in the clouds, for receiving and stores the physiologic information and body movement information;
Cloud Server, for receiving and stores the physiologic information and the body movement information;
Doctor terminal, physiological signal data and body movement signal data for obtaining the person of being diagnosed from the high in the clouds, and it is right
The physiologic information and body movement information are analyzed the sleep diagnosis report for drawing the person of being diagnosed, and by the sleep diagnosis report
It is back to the mobile terminal of the person of being diagnosed binding in advance;
The mobile terminal, is additionally operable to receive and show the sleep diagnosis report that the doctor terminal is returned.
On the basis of above-mentioned technical proposal, the doctor terminal includes:
Sleep state analytic unit, for the person of being diagnosed described in being drawn according to the physiologic information and body movement information analysis
Sleep state;
Diagnosis report generation unit, for the corresponding sleep diagnosis report of sleep state generation according to the person of being diagnosed
Accuse, the sleep diagnosis report includes the sleep state of the person of being diagnosed and the treatment side corresponding with the sleep state
Case.
On the basis of above-mentioned technical proposal, the sleep state analytic unit includes:
Pretreatment unit, for being pre-processed to the physiologic information and the body movement information, the physiologic information bag
Brain wave signal data are included, also including one or more in ecg signal data, breath data and blood oxygen saturation data;
Characteristics of EEG extraction unit, for the characteristics of EEG of the person of being diagnosed according to the brain wave signal data acquisition;
Characteristics of EEG matching unit, for the characteristics of EEG is special from the E.E.G under the different sleep states for pre-building
Template is levied to be matched;
First sleep state obtains analysis elements, if for finding the characteristics of EEG template matched with the characteristics of EEG,
The sleep state corresponding to characteristics of EEG template for then matching is the sleep state of the person of being diagnosed;
Second sleep state analytic unit, if for not finding the characteristics of EEG mould matched with the characteristics of EEG
Plate, then with reference in the body movement information and the physiologic information other physiological datas judge described in the person of being diagnosed sleep shape
State, described other physiological datas include the one kind in ecg signal data, breath data and the blood oxygen saturation data
Or it is various.
On the basis of above-mentioned technical proposal, the pretreatment unit includes:
First filter unit, for constant digital filter is dynamic to the physiologic information and the body to be believed using linearly moving
Breath is filtered, and filters the interference data outside predeterminated frequency scope;
Abnormity point filters unit, for entering the weighting of lines per second sampled point to the physiologic information and body movement information after filtering process
Averagely, the abnormity point in the signal data per second of the physiologic information and the body movement information is removed;
Second filter unit, for the physiologic information and body of abnormity point are dynamic to be believed to removing using power frequency notch filter
Breath is filtered treatment, stronger power frequency interference signals in the removal physiologic information and body movement information.
On the basis of above-mentioned technical proposal, the doctor terminal also includes:
Diagnosis report alignment unit, the doctor in charge for pointing out the person of being diagnosed is carried out to the sleep diagnosis report
Examination & verification and calibration.
Implement a kind of sleep diagnostic method provided in an embodiment of the present invention and system has the advantages that:
The embodiment of the present invention passes through to be worn on the life of the physiology information detecting device collection person of being diagnosed of the person's of being diagnosed head
Reason information and body movement information, and the physiologic information and the body movement information are uploaded into high in the clouds stored;By doctor's end
The physiological signal data and body movement signal data that the person of being diagnosed is obtained from the high in the clouds are held, and to the physiologic information and the dynamic letter of body
Breath is analyzed the sleep diagnosis report for drawing the person of being diagnosed;The sleep diagnosis report is back to by the doctor terminal
The mobile terminal of the person of being diagnosed binding in advance is shown, is examined such that it is able to realizing long-range sleep diagnosis, and improve
Disconnected efficiency, it is ensured that the reliability of diagnostic result, it is to avoid the person of being diagnosed present in prior art must be slept in clinician
Laboratory in, occur usually that to adapt to effect bad and cause the very big problem of diagnostic result deviation because of the person of being diagnosed, improve
Consumer's Experience.
Brief description of the drawings
Fig. 1 is a kind of schematic flow diagram of diagnostic method of sleeping provided in an embodiment of the present invention;
Fig. 2 a are analyzed according to physiologic information and body movement information in a kind of sleep diagnostic method provided in an embodiment of the present invention
Draw the dormant schematic flow diagram for implementing of the person of being diagnosed;
Fig. 2 b are the signals of K-C complicated dynamic behaviour sequence lists in a kind of diagnostic method of sleeping provided in an embodiment of the present invention
Figure;
Fig. 3 is a kind of schematic flow diagram of sleep diagnostic method that another embodiment of the present invention is provided;
Fig. 4 is a kind of schematic block diagram of diagnostic system of sleeping provided in an embodiment of the present invention;
Fig. 5 is the schematic block diagram of doctor's terminal inner in a kind of diagnostic system of sleeping provided in an embodiment of the present invention;
Fig. 6 is the schematic frame of doctor's terminal inner in a kind of sleep diagnostic system that another embodiment of the present invention is provided
Figure.
Specific embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Fig. 1 is a kind of schematic flow diagram of diagnostic method of sleeping provided in an embodiment of the present invention.It is shown in Figure 1, this reality
A kind of sleep diagnostic method for applying example offer may comprise steps of:
In S101, the physiology for gathering the person of being diagnosed by the physiology information detecting device for being worn on the person's of being diagnosed head is believed
Cease and body movement information, and the physiologic information and the body movement information are uploaded into high in the clouds and stored.
In the present embodiment, the physiology information detecting device can be worn on and be examined using head fixing device is included
The head of disconnected person, and also including with the dry electrode of 6 passages being attached on the inner surface of the head fixing device, can gather
Physiologic information and the body movement informations such as the EEG signals of the person of being diagnosed, electrocardiosignal, breath signal and blood oxygen saturation.
In S102, the physiological signal data and body movement signal number of the person of being diagnosed are obtained from the high in the clouds by doctor terminal
According to, and the sleep diagnosis report for drawing the person of being diagnosed is analyzed to the physiologic information and body movement information.
Wherein, described being moved to the physiologic information and body is analyzed the sleep diagnosis report for drawing the person of being diagnosed and includes:
The sleep state of the person of being diagnosed according to the physiologic information and body movement information analysis draw;
The corresponding sleep diagnosis report of sleep state generation according to the person of being diagnosed, the sleep diagnosis report includes
The sleep state of the person of being diagnosed and the therapeutic scheme corresponding with the sleep state.
Wherein, the physiologic information includes brain wave signal data, also including ecg signal data, breath data and blood oxygen
One or more in saturation data.
Further, it is in the present embodiment, described to be analyzed according to the physiologic information and body movement information referring to shown in Fig. 2 a
Drawing the sleep state of the person of being diagnosed includes:
In S201, the physiologic information and the body movement information are pre-processed.
In the present embodiment, step S201 is specifically included:
The physiologic information and the body movement information are filtered using constant digital filter is linearly moved, are filtered pre-
If the interference data outside frequency range.
In the present embodiment, it is described linearly move constant digital filter including endless impulse response filter (IIR filter
Ripple device) and two kinds of limited long impulse response wave filter (FIR filter).The system function of both wave filters can be unified with Z
Conversion is expressed as (Z is filter order):
Wherein, biIt is the equivalency index coefficient of output function.I=0,1 ... N;aiRepresent the corresponding index system of input function
Number.
Enter lines per second sampled point weighted average to the physiologic information and body movement information after filtering process, remove the physiology letter
Abnormity point in breath and the body movement information.Preferably, to be weighted average computing formula to sampled point per second as follows:
Wherein,It is the weighted average of sampled point, x1、x2、……、xnThe respectively the 1~n value of sampled point, w1、
w2、……、wnRespectively sampled point x1、x2、……、xnCorresponding weight coefficient.
Treatment is filtered to the physiologic information and body movement information that remove abnormity point using power frequency notch filter, is gone
Except the power frequency interference signals in the physiologic information and body movement information.
In S202, the characteristics of EEG of the person of being diagnosed according to the brain wave signal data acquisition.
In the present embodiment, mathematical algorithm conversion can be carried out to the brain wave signal, by the calculating sequence of K-C complexities
List calculates the correlation in brain wave signal sampled data per second, then proposes the E.E.G letter according to the correlation
Number stability features as the characteristics of EEG;Can also be using switching domain method, by Fourier transformation by the E.E.G
The time-domain signal of signal is converted to frequency-region signal, and the energy feature for then extracting the brain wave signal is special as the E.E.G
Levy;The variation characteristic that the brain wave signal can also be obtained by Hilbert transform is used as the characteristics of EEG.Wherein, K-C
The sequence of calculation table of complexity is referring to shown in Fig. 2 b.
Wherein, the mathematical formulae of Fourier transformation is:
Fourier's energy spectrum for Fourier transformation amplitude spectrum square.
Wherein, the mathematical formulae of the hilbert spectrum is:
Wherein, μ (τ) represents input signal, and h (t) is impulse response system.Convolution is carried out by Signals & Systems, is obtained
Hilbert transform result.
In S203, calculated respectively using above-mentioned formula through mark eeg data K-C complexities, Fourier spectrum,
The features such as hilbert spectrum, then carry out characteristic similarity calculating, to carry out brain electricity condition classification using similarity criterion.
Wherein, calculating formula of similarity is as follows:
Wherein, similarity is the similarity of eeg data to be measured and standard eeg data, AiIt is standard brain electrical feature
Group data, BiIt is brain electrical feature group data to be detected.
In other embodiments, it is also possible to which bringing brain electrical feature group data to be detected into algorithm of support vector machine carries out mathematics
Minimum operation is sorted out to it, and algorithm of support vector machine expression formula is as follows:
Wherein, n is characterized a group number, and x is characterized value, and y is positioned for sleep stage, and w is weight coefficient, and b is the plane branch
Vector is held, λ represents regularization factors, the maximum weight coefficient of y discriminations and feature group are found using vector machine algorithm.
In the present embodiment, be previously stored with the doctor terminal by great amount of samples data train obtain it is various not
With the characteristics of EEG template corresponding to sleep state, can know by using pattern after the characteristics of EEG for getting the person of being diagnosed
Other algorithm is matched the characteristics of EEG from the characteristics of EEG template under the different sleep states for pre-building.Wherein, institute
Algorithm for pattern recognition including but not limited to similarity mode, SVMs, analysis of neural network and linear regression etc. is stated to calculate
Method, and these algorithms can individually or two kinds simultaneously use.
In S204, if finding the characteristics of EEG template matched with the characteristics of EEG, the E.E.G for matching is special
Levy the sleep state that the sleep state corresponding to template is the person of being diagnosed.
In the present embodiment, the sleep state is divided into five kinds of states, including:Lucid interval, non phase and quick
The eye dynamic phase, the non phase again including it is shallow sleep the phase, in sleep phase and sound sleep phase.Wherein, the lucid interval and the sound sleep
Characteristics of EEG corresponding to phase is particularly significant, therefore, both be can recognize that out typically merely by characteristics of EEG matching, and described shallow sleep
Phase, in sleep the phase and the characteristics of EEG of rapid eye movement phase is closer to, therefore, only matched by characteristics of EEG and be often difficult to know
Not, it is therefore desirable to coordinate the body movement information and other physiologic informations of the person of being diagnosed further to be judged.
It is dynamic with reference to the body if not finding the characteristics of EEG template matched with the characteristics of EEG in S205
Other physiological datas in information and the physiologic information judge the sleep state of the person of being diagnosed, described other physiological datas
Including one or more in ecg signal data, breath data and the blood oxygen saturation data.
In the present embodiment, due to it is described it is shallow sleep the phase, in sleep three kinds of phase and rapid eye movement phase different sleep states institutes right
The dynamic feature of ecg characteristics, respiratory characteristic, blood oxygen saturation feature and the body answered can difference, therefore, we can be
Matched by characteristics of EEG when cannot determine accurate sleep state can further combined with above-mentioned ecg characteristics, respiratory characteristic,
Latent class model is added to assist in identifying sleeping for the person of being diagnosed one or more in blood oxygen saturation feature and the dynamic feature of body
Dormancy state.
In S103, the sleep diagnosis report is back to by the person of being diagnosed by the doctor terminal and is bound in advance
Mobile terminal shown.
In the present embodiment, the doctor terminal can be by the sleep diagnosis report after the sleep diagnosis report is obtained
Send to the mobile terminal of the person of being diagnosed binding in advance, the mobile terminal of the person of being diagnosed binding in advance can include institute
The self-contained mobile terminal of the person of being diagnosed is stated, the mobile terminal of the person of the being diagnosed family members or friend can also be included, so
It is easy to the family members and friend of the person of being diagnosed or the person of being diagnosed to understand the state of an illness of the person of being diagnosed in time, and supervises it to be reported according to diagnosis
Therapeutic scheme partner treatment on announcement.
Above as can be seen that a kind of sleep diagnostic method for providing of the present embodiment, due to by being worn on the person's of being diagnosed head
The physiologic information and body movement information of the physiology information detecting device collection person of being diagnosed in portion, and by the physiologic information and the body
Dynamic information uploads to high in the clouds and is stored;The physiological signal data and body of the person of being diagnosed are obtained from the high in the clouds by doctor terminal
Dynamic signal data, and the sleep diagnosis report for drawing the person of being diagnosed is analyzed to the physiologic information and body movement information;Pass through
The sleep diagnosis report is back to the advance mobile terminal bound of the person of being diagnosed and is shown by the doctor terminal, from
And long-range sleep diagnosis can be realized, and improve diagnosis efficiency, it is ensured that the reliability of diagnostic result, it is to avoid existing skill
The person of being diagnosed present in art must be slept in the laboratory of clinician, occurred usually because the person's of being diagnosed adaptation effect is bad
So that the very big problem of diagnostic result deviation, improves Consumer's Experience.
Fig. 3 is a kind of schematic flow diagram of sleep diagnostic method that another embodiment of the present invention is provided.It is shown in Figure 3,
Relative to a upper embodiment, a kind of sleep diagnostic method that the present embodiment is provided is examined the sleep by the doctor terminal
Disconnected report is back to before the mobile terminal of the person of being diagnosed binding in advance is shown also to be included:
In S303, the doctor in charge of the doctor terminal prompting person of being diagnosed is carried out to the sleep diagnosis report
Examination & verification and calibration.
In the present embodiment, the sleep diagnosis report include the physiologic information of the person of being diagnosed, body movement information, each
Sleep state and corresponding therapeutic scheme in the individual time period, the doctor terminal is according to the physiologic information and the body
After dynamic information analysis draws the sleep diagnosis report of the person of being diagnosed, the sleep diagnosis report can be shown to described curing mainly
Doctor, and point out the doctor in charge to audit the sleep diagnosis report, if finding DE, it can be entered
Row calibration, can so ensure the accuracy of diagnostic result.
Furthermore, it is necessary to explanation, the step S301~step S302 and step S304 in the present embodiment are due to respectively
It is identical with the step S101~step S103 in embodiment described in Fig. 1, therefore, will not be repeated here.
Therefore, it can be seen that the sleep diagnostic method that the present embodiment is provided can equally realize long-range sleep diagnosis, and
Improve diagnosis efficiency, it is ensured that the reliability of diagnostic result, it is to avoid the person of being diagnosed present in prior art must sleep
In the laboratory of clinician, occur usually that to adapt to effect bad and cause that diagnostic result deviation is very big and ask because of the person of being diagnosed
Topic, improves Consumer's Experience;And relative to a upper embodiment, additionally it is possible to be further ensured that the accuracy of diagnostic result.
Fig. 4 is a kind of structural representation of diagnostic system of sleeping provided in an embodiment of the present invention.For convenience of description only
Show part related to the present embodiment.
It is shown in Figure 4, a kind of sleep diagnostic system that the present embodiment is provided, including:
The physiology information detecting device 1 of the person's of being diagnosed head is worn on, physiologic information and body for gathering the person of being diagnosed
Dynamic information, and the physiologic information and body movement information are uploaded into high in the clouds 2 stored;
The high in the clouds 2, for receiving and stores the physiologic information and body movement information;
Doctor terminal 3, physiological signal data and body movement signal data for obtaining the person of being diagnosed from the high in the clouds, and it is right
The physiologic information and body movement information are analyzed the sleep diagnosis report for drawing the person of being diagnosed, and by the sleep diagnosis report
It is back to the mobile terminal 4 of the person of being diagnosed binding in advance;
The mobile terminal 4, is additionally operable to receive and show the sleep diagnosis report that the doctor terminal is returned.
Optionally, shown in Figure 5, the doctor terminal 3 includes:
Sleep state analytic unit 31, for according to the physiologic information and body movement information analysis draw described in the person of being diagnosed
Sleep state;
Diagnosis report generation unit 32, for the corresponding sleep diagnosis report of sleep state generation according to the person of being diagnosed
Accuse, the sleep diagnosis report includes the sleep state of the person of being diagnosed and the treatment side corresponding with the sleep state
Case.
Optionally, the sleep state analytic unit 31 includes:
Pretreatment unit 41, for being pre-processed to the physiologic information and the body movement information, the physiologic information
Including brain wave signal data, also including one or more in ecg signal data, breath data and blood oxygen saturation data;
Characteristics of EEG extraction unit 42, the E.E.G for the person of being diagnosed according to the brain wave signal data acquisition is special
Levy;
Characteristics of EEG matching unit 43, for by the characteristics of EEG and the E.E.G under the different sleep states for pre-building
Feature templates are matched;
First sleep state obtains analysis elements 44, if for finding the characteristics of EEG mould matched with the characteristics of EEG
Plate, the then sleep state corresponding to characteristics of EEG template for matching is the sleep state of the person of being diagnosed;
Second sleep state analytic unit 45, if for not finding the characteristics of EEG mould matched with the characteristics of EEG
Plate, then with reference in the body movement information and the physiologic information other physiological datas judge described in the person of being diagnosed sleep shape
State, described other physiological datas include the one kind in ecg signal data, breath data and the blood oxygen saturation data
Or it is various.
Optionally, the pretreatment unit 41 includes:
First filter unit 411, constant digital filter is linearly moved to the physiologic information and the body for using
Dynamic information is filtered, and filters the interference data outside predeterminated frequency scope;
Abnormity point filters unit 412, for entering lines per second sampled point to the physiologic information and body movement information after filtering process
Weighted average, removes the abnormity point in the signal data per second of the physiologic information and the body movement information;
Second filter unit 413, for using power frequency notch filter to removing the physiologic information and body of abnormity point
Dynamic information is filtered treatment, stronger power frequency interference signals in the removal physiologic information and body movement information.
Optionally, shown in Figure 6, in another embodiment, the doctor terminal 3 also includes:
Diagnosis report alignment unit 33, the doctor in charge for pointing out the person of being diagnosed enters to the sleep diagnosis report
Row examination & verification and calibration.
It should be noted that the unit in the said system of the present embodiment offer, due to implementing with the inventive method
Example belongs to same design, and the technique effect that it brings is identical with the inventive method embodiment, and particular content can be found in present invention side
Narration in method embodiment, here is omitted.
Therefore, it can be seen that the sleep diagnostic system that the present embodiment is provided can equally realize long-range sleep diagnosis, and
Improve diagnosis efficiency, it is ensured that the reliability of diagnostic result, it is to avoid the person of being diagnosed present in prior art must sleep
In the laboratory of clinician, occur usually that to adapt to effect bad and cause that diagnostic result deviation is very big and ask because of the person of being diagnosed
Topic, improves Consumer's Experience.
Presently preferred embodiments of the present invention is the foregoing is only, is not intended to limit the invention, it is all in essence of the invention
Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.
Claims (10)
1. a kind of sleep diagnostic method, it is characterised in that including:
The physiologic information and body movement information of the person of being diagnosed are gathered by the physiology information detecting device for being worn on the person's of being diagnosed head,
And the physiologic information and the body movement information are uploaded into high in the clouds stored;
The physiological signal data and body movement signal data of the person of being diagnosed are obtained from the high in the clouds by doctor terminal, and to the life
Reason information and body movement information are analyzed the sleep diagnosis report for drawing the person of being diagnosed;
The mobile terminal that the sleep diagnosis report is back to the person of being diagnosed binding in advance is entered by the doctor terminal
Row display.
2. sleep diagnostic method as claimed in claim 1, it is characterised in that described dynamic to the physiologic information and body to be divided
Analysis show that the sleep diagnosis report of the person of being diagnosed includes:
The sleep state of the person of being diagnosed according to the physiologic information and body movement information analysis draw;
The corresponding sleep diagnosis report of sleep state generation according to the person of being diagnosed, the sleep diagnosis report includes described
The sleep state of the person of being diagnosed and the therapeutic scheme corresponding with the sleep state.
3. sleep diagnostic method as claimed in claim 2, it is characterised in that described according to the physiologic information and body movement information
Analysis show that the sleep state of the person of being diagnosed includes:
The physiologic information and the body movement information are pre-processed, the physiologic information includes brain wave signal data, also wraps
Include one or more in ecg signal data, breath data and blood oxygen saturation data;
The characteristics of EEG of the person of being diagnosed according to the brain wave signal data acquisition;
The characteristics of EEG is matched from the characteristics of EEG template under the different sleep states for pre-building;
If finding the characteristics of EEG template matched with the characteristics of EEG, corresponding to the characteristics of EEG template for matching
Sleep state is the sleep state of the person of being diagnosed;
If not finding the characteristics of EEG template matched with the characteristics of EEG, with reference to the body movement information and the physiology
Other physiological datas in information judge the sleep state of the person of being diagnosed, and described other physiological datas include electrocardiosignal number
According to one or more in, breath data and the blood oxygen saturation data.
4. sleep diagnostic method as claimed in claim 3, it is characterised in that described to the physiologic information and the dynamic letter of the body
Breath carries out pretreatment to be included:
The physiologic information and the body movement information are filtered using constant digital filter is linearly moved, filter default frequency
Interference data outside rate scope;
Enter lines per second sampled point weighted average to the physiologic information and body movement information after filtering process, remove the physiologic information and
Abnormity point in the body movement information;
Treatment is filtered to the physiologic information and body movement information that remove abnormity point using power frequency notch filter, institute is removed
State the power frequency interference signals in physiologic information and body movement information.
5. sleep diagnostic method as claimed in claim 5, it is characterised in that diagnosed the sleep by the doctor terminal
Report is back to before the mobile terminal of the person of being diagnosed binding in advance is shown also to be included:
The doctor in charge of the doctor terminal prompting person of being diagnosed is audited and is calibrated to the sleep diagnosis report.
6. a kind of sleep diagnostic system, it is characterised in that including:
The physiology information detecting device of the person's of being diagnosed head is worn on, the dynamic letter of the physiologic information and body for gathering the person of being diagnosed
Cease, and the physiologic information and body movement information are uploaded into high in the clouds and stored;
The high in the clouds, for receiving and stores the physiologic information and body movement information;
Doctor terminal, physiological signal data and body movement signal data for obtaining the person of being diagnosed from the high in the clouds, and to described
Physiologic information and body movement information are analyzed the sleep diagnosis report for drawing the person of being diagnosed, and the sleep diagnosis report is returned
To the mobile terminal of the person of being diagnosed binding in advance;
The mobile terminal, is additionally operable to receive and show the sleep diagnosis report that the doctor terminal is returned.
7. sleep diagnostic system as claimed in claim 6, it is characterised in that the doctor terminal includes:
Sleep state analytic unit, for according to the physiologic information and body movement information analysis draw described in the person of being diagnosed sleep
State;
Diagnosis report generation unit, for the corresponding sleep diagnosis report of sleep state generation according to the person of being diagnosed, institute
Stating sleep diagnosis report includes the sleep state and the therapeutic scheme corresponding with the sleep state of the person of being diagnosed.
8. sleep diagnostic system as claimed in claim 7, it is characterised in that the sleep state analytic unit includes:
Pretreatment unit, for being pre-processed to the physiologic information and the body movement information, the physiologic information includes brain
Ripple signal data, also including one or more in ecg signal data, breath data and blood oxygen saturation data;
Characteristics of EEG extraction unit, for the characteristics of EEG of the person of being diagnosed according to the brain wave signal data acquisition;
Characteristics of EEG matching unit, for by the characteristics of EEG and the characteristics of EEG mould under the different sleep states for pre-building
Plate is matched;
First sleep state obtains analysis elements, if for finding the characteristics of EEG template matched with the characteristics of EEG,
The sleep state corresponding to characteristics of EEG template allotted is the sleep state of the person of being diagnosed;
Second sleep state analytic unit, if for not finding the characteristics of EEG template matched with the characteristics of EEG,
The sleep state of the person of being diagnosed, described with reference to described in other physiological datas in the body movement information and the physiologic information judge
Other physiological datas include one or more in ecg signal data, breath data and the blood oxygen saturation data.
9. sleep diagnostic system as claimed in claim 8, it is characterised in that the pretreatment unit includes:
First filter unit, linearly moves constant digital filter and the physiologic information and the body movement information is entered for use
Row filtering, filters the interference data outside predeterminated frequency scope;
Abnormity point filters unit, flat for entering the weighting of lines per second sampled point to the physiologic information and body movement information after filtering process
, the abnormity point in the signal data per second of the physiologic information and the body movement information is removed;
Second filter unit, for being entered to the physiologic information and body movement information that remove abnormity point using power frequency notch filter
Row filtering process, stronger power frequency interference signals in the removal physiologic information and body movement information.
10. sleep diagnostic system as claimed in claim 7, it is characterised in that the doctor terminal also includes:
Diagnosis report alignment unit, the doctor in charge for pointing out the person of being diagnosed audits to the sleep diagnosis report
And calibration.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108404275A (en) * | 2018-02-26 | 2018-08-17 | 广东欧珀移动通信有限公司 | Training method of sleeping and relevant device |
CN109833029A (en) * | 2017-11-27 | 2019-06-04 | 深圳创达云睿智能科技有限公司 | A kind of sleep stage method, system and terminal device |
CN110008790A (en) * | 2018-01-05 | 2019-07-12 | 中国移动通信有限公司研究院 | A kind of analysis method and device of multi-lead physiological signal |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104224163A (en) * | 2014-09-23 | 2014-12-24 | 上海妙特医疗器械有限公司 | Sleep respiratory disease remote monitoring and managing system based on Internet of Things |
CN105030198A (en) * | 2015-06-18 | 2015-11-11 | 苏州安莱光电科技有限公司 | System and method for monitoring sleep quality and vital signs |
CN105615834A (en) * | 2015-12-22 | 2016-06-01 | 深圳创达云睿智能科技有限公司 | Sleep stage classification method and device based on sleep EEG (electroencephalogram) signals |
CN106175722A (en) * | 2016-06-25 | 2016-12-07 | 浙江和也健康科技有限公司 | A kind of based on intelligence bedding health management system arranged |
-
2016
- 2016-12-19 CN CN201611180467.4A patent/CN106667436A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104224163A (en) * | 2014-09-23 | 2014-12-24 | 上海妙特医疗器械有限公司 | Sleep respiratory disease remote monitoring and managing system based on Internet of Things |
CN105030198A (en) * | 2015-06-18 | 2015-11-11 | 苏州安莱光电科技有限公司 | System and method for monitoring sleep quality and vital signs |
CN105615834A (en) * | 2015-12-22 | 2016-06-01 | 深圳创达云睿智能科技有限公司 | Sleep stage classification method and device based on sleep EEG (electroencephalogram) signals |
CN106175722A (en) * | 2016-06-25 | 2016-12-07 | 浙江和也健康科技有限公司 | A kind of based on intelligence bedding health management system arranged |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109833029A (en) * | 2017-11-27 | 2019-06-04 | 深圳创达云睿智能科技有限公司 | A kind of sleep stage method, system and terminal device |
CN110008790A (en) * | 2018-01-05 | 2019-07-12 | 中国移动通信有限公司研究院 | A kind of analysis method and device of multi-lead physiological signal |
CN108404275A (en) * | 2018-02-26 | 2018-08-17 | 广东欧珀移动通信有限公司 | Training method of sleeping and relevant device |
CN112089423A (en) * | 2019-06-18 | 2020-12-18 | 北京京东尚科信息技术有限公司 | Sleep information determination method, device and equipment |
CN112089423B (en) * | 2019-06-18 | 2024-05-17 | 北京京东尚科信息技术有限公司 | Sleep information determining method, device and equipment |
CN110811638A (en) * | 2019-12-11 | 2020-02-21 | 齐鲁工业大学 | SVM classifier construction method, system and method for monitoring sleep |
CN111134641A (en) * | 2020-01-14 | 2020-05-12 | 河南大学 | Sleep monitoring chip system and sleep monitoring chip |
CN112401853A (en) * | 2020-11-13 | 2021-02-26 | 珠海格力电器股份有限公司 | Method and device for displaying state in room |
CN112401853B (en) * | 2020-11-13 | 2021-10-22 | 珠海格力电器股份有限公司 | Method and device for displaying state in room |
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