CN109589090A - One kind is for detecting the dormant detection system of user and detection method - Google Patents

One kind is for detecting the dormant detection system of user and detection method Download PDF

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Publication number
CN109589090A
CN109589090A CN201810721118.1A CN201810721118A CN109589090A CN 109589090 A CN109589090 A CN 109589090A CN 201810721118 A CN201810721118 A CN 201810721118A CN 109589090 A CN109589090 A CN 109589090A
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China
Prior art keywords
sleep
user
thresh
blood oxygen
heart rate
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810721118.1A
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Chinese (zh)
Inventor
王崇宝
朱芸
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CHENGDU WEIMING TECHNOLOGY Co Ltd
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CHENGDU WEIMING TECHNOLOGY Co Ltd
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Priority to CN201810721118.1A priority Critical patent/CN109589090A/en
Publication of CN109589090A publication Critical patent/CN109589090A/en
Pending legal-status Critical Current

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4812Detecting sleep stages or cycles
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes

Abstract

The present invention relates to one kind for detecting the dormant detection system of user and detection method, including wearable Intelligent monitoring device, and heart rate, blood oxygen and the body for monitoring user move data;Server, the server and wearable Intelligent monitoring device communicate to connect, data are moved for receiving and storing heart rate, blood oxygen and body that wearable Intelligent monitoring device monitors, server includes analysis module, and the analysis module is analyzed for realizing the sleep state of user.The present invention is for detecting the dormant detection system of user and detection method, it acquires heart rate, blood oxygen and body in real time in sleep procedure using wearable Intelligent monitoring device and moves parameter, it acquires real-time data transmission and carries out analytical judgment sleep state to server end, its analytical judgment method is to move in data basis that heart rate and oximetry data is combined to be analyzed based on body, judge the true sleep state of user, accuracy relatively individually moves data according to body and promotes 90% or more.

Description

One kind is for detecting the dormant detection system of user and detection method
Technical field
The present invention relates to medical treatment & health technical fields, and in particular to one kind is for detecting the dormant detection system of user And detection method.
Background technique
Sleep is the needs of life, so people cannot not sleep, and the sleep lacked daily will also be filled, and otherwise can It pays for, is had to like debt also the same.Basic law when ortho is that normal adult is being slept initially Into NREM, from the superficial to the deep, probably after 60~90 minutes, REM is changed into, the REM duration only has 10~15 minutes left sides Then the right side changes into NREM again, be periodically alternately present NREM and REM like this, and a night occurs 4~6 times, is until regaining consciousness Only.
If sleep it is bad be easy to cause Gives-an-eye on daytime to sleep, tired murky, dejected irritability, study idea is low, judgment is not normal, The problems such as reagency is blunt, absent minded seriously may cause immunity degradation, cardiovascular disease, diabetes, endocrine The diseases such as imbalance, melancholia, gastro-intestinal problems, accelerated ageing, sexual deterioration.Therefore, concern sleep health, which is one, to neglect Depending on the problem of.
And in existing sleep health detection equipment, a kind of sleep as disclosed in China Patent Publication No. CN107638165A Detection method and device, comprising: sleep signal is acquired by the sensor of mobile terminal;The sleep signal of acquisition is carried out Pretreatment;According to pretreated sleep signal founding mathematical models, sleep state is exported based on the mathematical model.The device Sleep signal is acquired by the sensor of mobile terminal, without using existing complicated and bulky detection device, Yong Hu It can be detected when family's sleep, and not need to attach complicated signal wire with, but the detection of device foundation is logical It crosses body and moves sleep state in data analysis sleep procedure, the dynamic authenticity influence of error receptor is very big, causes sleep detection quasi- True property is poor.
For this purpose, the present invention, which provides one kind, moves data based on body, analyzed in conjunction with heart rate and oximetry data, judges that wrist-watch is worn The true sleep state of wearer, improve detection accuracy for detecting the dormant detection system of user and detection method.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide and it is a kind of for detecting the dormant inspection of user Examining system and detection method acquire the dynamic ginseng of heart rate, blood oxygen and body using wearable Intelligent monitoring device in real time in sleep procedure Number, acquisition real-time data transmission to server end carry out analytical judgment sleep state, and analytical judgment method is based on the dynamic number of body It combines heart rate and oximetry data to be analyzed on the basis of, judges the true sleep state of user, accuracy is relatively individually according to body Dynamic data promote 90% or more.
The purpose of the present invention is achieved through the following technical solutions:
One kind is used to detect the dormant detection system of user, including
Wearable Intelligent monitoring device, heart rate, blood oxygen and body for monitoring user move data;
Server, the server and wearable Intelligent monitoring device communicate to connect, for receiving and storing wearable intelligence Heart rate, blood oxygen and the body that energy monitoring device monitors move data, and server includes analysis module, and the analysis module is based on following Algorithm realizes the sleep state analysis of user:
It defines body and moves parameter: mov (i), blood oxygen parameter: spo2 (i), hrv parameter: hr (i);
Body moves transforming function transformation function:
Wherein fk(k=1,2,3 ... 2n+1) are coefficient function;
Blood oxygen transforming function transformation function:
Wherein N=2n+1;
Heart rate transforming function transformation function:
Wherein N=2n+1;
Defined parameters value: sleep (i);
Wherein α is weight parameter, and β is impact factor;
Define sleep state S0For waking state, S1For hypophypnosis state, S2For deep sleep;
Define thresh01For awake and hypophypnosis decision threshold, thresh12Determine for hypophypnosis and deep sleep Threshold value;
In sleep (i) > thresh01When, then sleep state is S0
In sleep (i) < thresh12When, then sleep state is S2
In thresh12≤sleep(i)≤thresh01Sleep state is S1
Further, the detection system further includes app client, and the app client is connect with server, for connecing Receive the sleep state result that simultaneously display server is analyzed.
Further, the app client is monitored for the wearable Intelligent monitoring device of query service device storage Heart rate, blood oxygen and body move data.
Further, the app client is installed and used for wearable Intelligent monitoring device, mobile communication equipment or PC.
Further, the wearable Intelligent monitoring device is intellectual monitoring bracelet, intellectual monitoring wrist-watch or intellectual monitoring Ring.
One kind is for detecting the dormant detection method of user, comprising the following steps:
S1. the heart rate for obtaining user, blood oxygen and body are monitored by wearable Intelligent monitoring device and moves data;
S2. data are moved according to heart rate, blood oxygen and the body that monitoring obtains, defines body and moves parameter: mov (i), blood oxygen parameter: Spo2 (i), hrv parameter: hr (i);
Body moves transforming function transformation function:
Wherein fk(k=1,2,3 ... 2n+1) are coefficient function;
Blood oxygen transforming function transformation function:
Wherein N=2n+1;
Heart rate transforming function transformation function:
Wherein N=2n+1;
Defined parameters value: sleep (i);
Wherein α is weight parameter, and β is impact factor;
Define sleep state S0For waking state, S1For hypophypnosis state, S2For deep sleep;
Define thresh01For awake and hypophypnosis decision threshold, thresh12Determine for hypophypnosis and deep sleep Threshold value;
In sleep (i) > thresh01When, then sleep state is S0
In sleep (i) < thresh12When, then sleep state is S2
In thresh12≤sleep(i)≤thresh01Sleep state is S1
Further, the wearable Intelligent monitoring device is intellectual monitoring bracelet, intellectual monitoring wrist-watch or intellectual monitoring Ring.
The beneficial effects of the present invention are: the present invention is for detecting the dormant detection system of user and detection method, it is sharp It acquires heart rate, blood oxygen and body in real time in sleep procedure with wearable Intelligent monitoring device and moves parameter, acquire real-time data transmission Analytical judgment sleep state is carried out to server end, analytical judgment method is to move to combine heart rate and blood in data basis based on body Oxygen data are analyzed, and judge the true sleep state of user, and accuracy relatively individually moves data according to body and promotes 90% or more.
Detailed description of the invention
Fig. 1 is the present invention for detecting the module connection diagram of the dormant detection system of user;
Fig. 2 is that the sleep state body that test example of the present invention detects moves datagram;
Fig. 3 is the sleep state blood oxygen saturation data figure that test example of the present invention detects;
Fig. 4 is the sleep state heart rate data figure that test example of the present invention detects;
Fig. 5 is the sleep state figure that the test example prior art of the present invention moves data analysis based on body;
Fig. 6 is the sleep state figure that test example of the present invention uses the method for the present invention analysis.
Specific embodiment
Technical solution of the present invention is described in further detail with reference to the accompanying drawing, but protection scope of the present invention is not limited to It is as described below.
Embodiment
As shown in Figure 1, a kind of be used to detect the dormant detection system of user, including
Wearable Intelligent monitoring device, heart rate, blood oxygen and body for monitoring user move data;
Server, the server and wearable Intelligent monitoring device communicate to connect, for receiving and storing wearable intelligence Heart rate, blood oxygen and the body that energy monitoring device monitors move data, and server includes analysis module, and the analysis module is based on following Algorithm realizes the sleep state analysis of user:
It defines body and moves parameter: mov (i), blood oxygen parameter: spo2 (i), hrv parameter: hr (i);
Body moves transforming function transformation function:
Wherein fk(k=1,2,3 ... 2n+1) are coefficient function;
Blood oxygen transforming function transformation function:
Wherein N=2n+1;
Heart rate transforming function transformation function:
Wherein N=2n+1;
Defined parameters value: sleep (i);
Wherein α is weight parameter, and β is impact factor;
Define sleep state S0For waking state, S1For hypophypnosis state, S2For deep sleep;
Define thresh01For awake and hypophypnosis decision threshold, thresh12Determine for hypophypnosis and deep sleep Threshold value;
In sleep (i) > thresh01When, then sleep state is S0
In sleep (i) < thresh12When, then sleep state is S2
In thresh12≤sleep(i)≤thresh01Sleep state is S1
Specifically, the detection system further includes app client, and the app client is connect with server, for receiving And the sleep state result that display server is analyzed.
Specifically, the heart that the app client is monitored for the wearable Intelligent monitoring device of query service device storage Rate, blood oxygen and body move data.
Specifically, the app client is installed and used for wearable Intelligent monitoring device, mobile communication equipment or PC.
Specifically, the wearable Intelligent monitoring device is that intellectual monitoring bracelet, intellectual monitoring wrist-watch or intellectual monitoring are guarded against Refer to.
When use:
S1. the heart rate for obtaining user, blood oxygen and body are monitored by wearable Intelligent monitoring device and moves data;
S2. data are moved according to heart rate, blood oxygen and the body that monitoring obtains, defines body and moves parameter: mov (i), blood oxygen parameter: Spo2 (i), hrv parameter: hr (i);
Body moves transforming function transformation function:
Wherein fk(k=1,2,3 ... 2n+1) are coefficient function;
Blood oxygen transforming function transformation function:
Wherein N=2n+1;
Heart rate transforming function transformation function:
Wherein N=2n+1;
Defined parameters value: sleep (i);
Wherein α is weight parameter, and β is impact factor;
Define sleep state S0For waking state, S1For hypophypnosis state, S2For deep sleep;
Define thresh01For awake and hypophypnosis decision threshold, thresh12Determine for hypophypnosis and deep sleep Threshold value;
In sleep (i) > thresh01When, then sleep state is S0
In sleep (i) < thresh12When, then sleep state is S2
In thresh12≤sleep(i)≤thresh01Sleep state is S1
Test example
It allows laboratory technician to be worn by wearable Intelligent monitoring device to sleep, be adopted using the monitoring of wearable Intelligent monitoring device Collect blood oxygen saturation data, heart rate data and body of the laboratory technician in sleep procedure and moves data, data monitoring collection result such as Fig. 2 Shown in~4, it is then utilized respectively the analysis method (working principle are as follows: data are moved according to body that the prior art moves data based on body Amplitude and duration judge sleep state, and body moves that data amplitude is small and duration a length of deep sleep, take second place shallowly to sleep, then Secondary is awake), data are moved according to collected body, the sleep state of laboratory technician is analyzed, analyzes result as shown in figure 5, reality -- awake -- deep sleep that the person of testing is in sleep procedure are as follows: deep sleep;Determination method of the invention is utilized simultaneously, according to adopting Blood oxygen saturation data, heart rate data and the body collected moves data, analyze the sleep state of laboratory technician, analysis knot Fruit is as shown in fig. 6, laboratory technician in sleep procedure is that deep sleep -- shallowly sleeps that -- deep sleep -- shallowly sleeps -- deep sleep.
To sum up, it can be deduced that, sleep detection analysis method of the invention is based only upon body compared with the prior art and moves data Determination method, precision is high, and accuracy rate is high.
The above is only a preferred embodiment of the present invention, it should be understood that the present invention is not limited to described herein Form should not be regarded as an exclusion of other examples, and can be used for other combinations, modifications, and environments, and can be at this In the text contemplated scope, modifications can be made through the above teachings or related fields of technology or knowledge.And those skilled in the art institute into Capable modifications and changes do not depart from the spirit and scope of the present invention, then all should be in the protection scope of appended claims of the present invention It is interior.

Claims (7)

1. one kind is for detecting the dormant detection system of user, which is characterized in that including
Wearable Intelligent monitoring device, heart rate, blood oxygen and body for monitoring user move data;
Server, the server and wearable Intelligent monitoring device communicate to connect, for receiving and storing wearable intelligence prison Heart rate, blood oxygen and the body that measurement equipment monitors move data, and server includes analysis module, and the analysis module is based on following algorithm Realize the sleep state analysis of user:
It defines body and moves parameter: mov (i), blood oxygen parameter: spo2 (i), hrv parameter: hr (i);
Body moves transforming function transformation function:
Wherein fk(k=1,2,3 ... 2n+1) are coefficient function;
Blood oxygen transforming function transformation function:
Wherein N=2n+1;
Heart rate transforming function transformation function:
Wherein N=2n+1;
Defined parameters value: sleep (i);
Wherein α is weight parameter, and β is impact factor;
Define sleep state S0For waking state, S1For hypophypnosis state, S2For deep sleep;
Define thresh01For awake and hypophypnosis decision threshold, thresh12For hypophypnosis and deep sleep decision threshold;
In sleep (i) > thresh01When, then sleep state is S0
In sleep (i) < thresh12When, then sleep state is S2
In thresh12≤sleep(i)≤thresh01Sleep state is S1
2. according to claim 1 a kind of for detecting the dormant detection system of user, which is characterized in that the inspection Examining system further includes app client, and the app client is connect with server, analyzes to obtain for receiving simultaneously display server Sleep state result.
3. according to claim 2 a kind of for detecting the dormant detection system of user, which is characterized in that described Heart rate, blood oxygen and body of the app client for the wearable Intelligent monitoring device of query service device storage to monitor move data.
4. according to claim 2 a kind of for detecting the dormant detection system of user, which is characterized in that described App client is installed and used for wearable Intelligent monitoring device, mobile communication equipment or PC.
5. according to claim 1 a kind of for detecting the dormant detection system of user, which is characterized in that it is described can Wearing Intelligent monitoring device is intellectual monitoring bracelet, intellectual monitoring wrist-watch or intellectual monitoring ring.
6. one kind is for detecting the dormant detection method of user, which comprises the following steps:
S1. the heart rate for obtaining user, blood oxygen and body are monitored by wearable Intelligent monitoring device and moves data;
S2. data are moved according to heart rate, blood oxygen and the body that monitoring obtains, defines body and moves parameter: mov (i), blood oxygen parameter: spo2 (i), hrv parameter: hr (i);
Body moves transforming function transformation function:
Wherein fk(k=1,2,3 ... 2n+1) are coefficient function;
Blood oxygen transforming function transformation function:
Wherein N=2n+1;
Heart rate transforming function transformation function:
Wherein N=2n+1;
Defined parameters value: sleep (i);
Wherein α is weight parameter, and β is impact factor;
Define sleep state S0For waking state, S1For hypophypnosis state, S2For deep sleep;
Define thresh01For awake and hypophypnosis decision threshold, thresh12For hypophypnosis and deep sleep decision threshold;
In sleep (i) > thresh01When, then sleep state is S0
In sleep (i) < thresh12When, then sleep state is S2
In thresh12≤sleep(i)≤thresh01Sleep state is S1
7. according to claim 6 a kind of for detecting the dormant detection method of user, which is characterized in that it is described can Wearing Intelligent monitoring device is intellectual monitoring bracelet, intellectual monitoring wrist-watch or intellectual monitoring ring.
CN201810721118.1A 2018-07-04 2018-07-04 One kind is for detecting the dormant detection system of user and detection method Pending CN109589090A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111067488A (en) * 2019-12-31 2020-04-28 重庆金康特智能穿戴技术研究院有限公司 Sleep monitoring method based on intelligent wearable device
CN111358448A (en) * 2020-03-23 2020-07-03 珠海格力电器股份有限公司 Sleep regulation method and device
CN113892907A (en) * 2021-08-31 2022-01-07 杭州思立普科技有限公司 Biological rhythm detection method, device, equipment and medium based on wearable equipment
CN115920197A (en) * 2023-03-15 2023-04-07 深圳市心流科技有限公司 Micro-electrical stimulation device for assisting sleep and control method thereof
CN117731245A (en) * 2024-02-20 2024-03-22 深圳市星迈科技有限公司 Sleep monitoring method and system based on intelligent watch and readable storage medium

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111067488A (en) * 2019-12-31 2020-04-28 重庆金康特智能穿戴技术研究院有限公司 Sleep monitoring method based on intelligent wearable device
CN111358448A (en) * 2020-03-23 2020-07-03 珠海格力电器股份有限公司 Sleep regulation method and device
CN113892907A (en) * 2021-08-31 2022-01-07 杭州思立普科技有限公司 Biological rhythm detection method, device, equipment and medium based on wearable equipment
CN115920197A (en) * 2023-03-15 2023-04-07 深圳市心流科技有限公司 Micro-electrical stimulation device for assisting sleep and control method thereof
CN117731245A (en) * 2024-02-20 2024-03-22 深圳市星迈科技有限公司 Sleep monitoring method and system based on intelligent watch and readable storage medium

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Application publication date: 20190409