CN117796769A - Miniaturized wearable polysomnography monitoring system - Google Patents
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- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention belongs to the technical field of medical treatment, and particularly relates to a miniaturized wearable polysomnography monitoring system which comprises a miniaturized wearable main body, a blood oxygen monitoring unit, a blood pressure monitoring unit, an electrocardio heart rate monitoring unit, a breathing sound monitoring unit, a sleeping depth monitoring unit, a forehead lobe electroencephalogram monitoring unit, a body temperature monitoring unit, a control logic unit, a wireless data transmission unit, an acousto-optic prompting unit, a power management unit, a lithium battery unit and a charging interface unit.
Description
Technical Field
The invention belongs to the technical field of medical treatment, and particularly relates to a miniaturized wearable polysomnography monitoring system.
Background
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common disease with important influence on human health, and has complex clinical manifestations, wherein snoring, apnea and excessive daytime sleepiness are one of the main manifestations during sleep, and ischemic heart disease, pulmonary arterial hypertension, chronic pulmonary heart disease, hypertension, arrhythmia, diabetes, cerebrovascular diseases and the like can also be complicated.
The upper airway dilated muscle dysfunction is one of important pathogenesis factors of the OSAHS, the oropharyngeal airway is the part which is most prone to stenosis and collapse in a sleeping state, and the main dilated muscle-genioglossus muscle of the upper airway forms the front wall of the oropharynx, and the function of the dilated muscle-genioglossus muscle is closely related to the collapse of the upper airway and the increase of airway resistance. The impulse of the hypoglossal nerve and the compensatory action of the genioglossus muscle are increased when the patient is awake, the compensatory action is lost during sleep, the genioglossus muscle tension is obviously reduced when the patient is awake, the glossolalia is induced to fall back, the pharyngeal stenosis is caused, and then the apneas or hypopneas events occur repeatedly.
For the above diseases, the devices that are more commonly used for current diagnostic treatments are: the polysomnography is complicated in structure and high in price, and is only used in hospitals in a few large cities, so that the polysomnography cannot be popularized, and most patients in remote areas of a basic level cannot be diagnosed and treated effectively in time;
therefore, in order to enable more patients to enjoy convenient diagnosis service, the invention provides a miniaturized wearable polysomnography system.
Disclosure of Invention
The embodiment of the invention aims to provide a miniaturized wearable polysomnography system, which aims to solve the problem.
The invention is embodied in a miniaturized wearable polysomnography system comprising: the miniaturized wearable main body is worn on the front side of the ear and close to the superficial temporal artery, the superficial temporal vein and the external carotid artery region, and a polysomnography monitoring system is arranged in the miniaturized wearable main body and comprises an equipment unit group, a monitoring unit group and a control unit group; the control unit group is used for controlling the operation of the monitoring unit and the equipment unit and carrying out post-processing on various physiological data acquired by processing, the monitoring unit group is used for monitoring various physiological parameters of sleeping, the equipment unit group is used for forming the communication transmission of the whole monitoring system circuit and signals, the miniaturized wearing type main body is worn in the front temporal area of the ear, then the control unit group is started to drive the monitoring unit group to monitor various factors of sleeping, the monitoring data is transferred to the control unit group for analysis processing under the transmission of the equipment unit, the rapid and accurate diagnosis of diseases such as sleep apnea and the like is realized, meanwhile, the whole equipment is small in size, convenient to use and carry, good in clinical operability and capable of being repeatedly used, the equipment unit group comprises a power management unit, a wireless data transmission unit and an acousto-optic prompt unit, the monitoring unit group comprises a blood oxygen monitoring unit, a blood pressure monitoring unit, an electrocardio heart rate monitoring unit, a breathing sound monitoring unit, a sleep depth monitoring unit, a forehead lobe brain electricity monitoring unit and a body temperature monitoring unit, wherein a multi-wavelength photoelectric tube I, a multi-wavelength photoelectric tube II, a receiving photoelectric sensor, a driving circuit and a data acquisition circuit thereof are arranged at the position, close to the auricular temporal superficial artery, the temporal superficial vein and the external carotid artery region, in the blood oxygen monitoring unit, the blood oxygen monitoring unit monitors the blood oxygen saturation of the auricular region through the structure, the blood pressure monitoring unit comprises a multi-wavelength photoelectric tube III, a multi-wavelength photoelectric tube IV, the multi-wavelength photoelectric tube IV is matched with the electrocardio heart rate monitoring unit to obtain biological signals, and an electrocardio signal (ECG) and a photoelectric volume pulse wave calculation method are adopted, the method comprises the steps of establishing a measuring and calculating relation between systolic pressure and diastolic pressure, wherein an electrocardio heart rate monitoring unit comprises electrodes, performing high-resolution sampling and filtering treatment on body surface biological potentials close to superficial temporal arteries, superficial temporal veins and external carotid arteries to restore to obtain ECG waveforms, further obtaining index data such as heart rate, and the like, a respiratory sound monitoring unit is composed of vibration sensors capable of collecting audio signals and is clung to a position, which is a position, between skin and bone, where subcutaneous tissues are thinner, namely a near-temporal bone region and a mandible region, the region is adjacent to a nasal cavity, respiratory sound conduction is clear, micro vibration signals are picked up through the vibration effect of the bone region during breathing, snore and respiratory sound can be easily distinguished after specific filtering and amplification treatment, the forehead lobe brain electrical monitoring unit performs body surface biological potential detection by using four-path differential electrodes of a miniaturized wearable polysomnography monitoring product, and the near-skin side can be separated, the near-forehead brain electrical data can be used for identifying sleep states, and meanwhile, the product can also obtain rapid eye movement period data; the sleep depth monitoring unit utilizes a multi-axis acceleration sensor to identify the body movement data characteristics, and calculates the current sleep depth by combining heart rate, blood pressure, forehead lobe brain electrical data and the like; the body temperature monitoring unit utilizes a temperature sensor placed at a skin contact position to continuously and jointly monitor local skin temperature and blood oxygen, and performs sectional fitting on a blood oxygen calculated value and a temperature measurement T value to calculate current body temperature data.
Preferably, the miniaturized wearing type main body is provided with a round shell structure similar to the size of a coin, the thickness of the shell structure is 5-8mm, a gel coating is arranged on the inner side of the shell structure, the gel coating has biocompatibility, is adhered to skin and worn, and plays roles in signal transmission and adhesion fixation.
Preferably, the power management unit comprises a lithium battery pack and a control switch module for controlling the operation of the lithium battery pack, wherein the control switch module is matched with the lithium battery pack to regulate the output voltage of the lithium battery and manage low power consumption.
One side of the lithium battery pack is provided with a charging interface unit, the lithium battery pack is charged through the charging interface unit, and the interface can be set as a magnetic interface or a standard USB interface.
Preferably, the acousto-optic prompting unit 30 is set as a polychromatic light state prompting part and a buzzer or a voice prompting part, and the working state of the miniaturized wearable polysomnography monitoring system is represented by acousto-optic information.
By means of electrocardiographic signals (ECG) and photo volumesThe pulse wave calculation method establishes the following measuring and calculating relationship of systolic pressure and diastolic pressure: peak P by ECG ECG Multi-wavelength photoelectric transmission peak searching P pho_elec_T Receiving peak search P pho_elec_R Calculating phase peak delay delta delay Phase difference D phase In P ECG Is the central value ， With P pho_elec Window function shifting for half bandwidth, filter coeff Fuc is a weighted filter factor win K is a dynamic window function n For the variable coefficients, parameters in the data window period are calculated, and the algorithm formula is as follows:
S peak ＝K 0 *P ECG *K 1 *P pho_elec *K 2 *D phase *K 3 *δ delay
BP＝S peak *Filter coeff *Fuc win_BP
BO＝S peak *Filter coeff *Fuc win_BO
the Blood Pressure (BP) and blood oxygen data (BO) at any moment can be accurately obtained through the algorithm.
The formula of the heart rate and heart rhythm index data calculation algorithm is as follows: heart rate = S peak *Filter coeff *Fuc win_HR1
Heart rhythm = S peak *Filter coeff *Fuc win_HR2 。
Preferably, the fast eye movement period data calculation formula is as follows;
EEG＝ρ 0 *K 0 *E diff1 *E diff2 *Fuc win_EEG
wherein ρ is 0 For weighted calibration coefficients, k, within the delta-gamma band n Is the weight; r is R n The characteristic proportion of the corresponding frequency band is equal to the energy in the frequency band divided by the total frequency band energy, and n is the number of sampling sequences; e (E) diff1 As a single-path differential signal E diff2 Is the 2 nd path differential signal.
The miniaturized wearable polysomnography system provided by the invention has the beneficial effects that: 1. the problem that the conventional polysomnography instrument which is not easy and convenient to use is solved, and the clinical operability is greatly improved and the repeatability is good by adopting ultra-light, miniaturized and leadless design;
2. the problems that the clinical polysomnography is complicated in operation, the connecting wires are complicated and most of the polysomnography can only be used in medical environment are solved, and the polysomnography is convenient and easy to use through extremely simple operation design;
3. innovative multi-parameter acquisition and analysis of superficial biological potential, blood oxygen, blood pressure, forehead lobe brain electricity, electrocardio, heart rate, heart rhythm, body temperature, respiratory bone conduction signals, body movement and the like of a superficial temporal artery, a superficial temporal vein and an external carotid artery region can realize multi-parameter measurement of one part and convenient diagnosis of sleep apnea and other diseases.
Drawings
Fig. 1 is a schematic flow chart of a miniaturized wearable polysomnography system.
Fig. 2 is a schematic diagram of temporal superficial arteries, temporal superficial veins, and external carotid arteries in a miniaturized wearable polysomnography system.
Fig. 3 is a schematic view of the wearing effect of a miniaturized wearable polysomnography system.
Fig. 4 is a schematic diagram of a miniaturized wearable polysomnography system during wear.
Fig. 5 is a schematic top view illustrating the distribution of the device unit, the detection unit, and the control logic unit 10 in the miniaturized wearable polysomnography system.
Fig. 6 is a schematic diagram of a distributed three-dimensional structure of a device unit, a detection unit, and a control logic unit 10 in a miniaturized wearable polysomnography system;
in the accompanying drawings: the micro-wearable main body 01, the gel coating 02, the control logic unit 10, the wireless data transmission unit 20, the acousto-optic prompting unit 30, the power management unit 40, the lithium battery unit 50, the charging interface unit 60, the blood oxygen monitoring unit 70, the blood pressure monitoring unit 80, the electrocardio heart rate monitoring unit 90, the respiratory sound monitoring unit 100, the sleep depth monitoring unit (including body movement data) 110, the forehead lobe brain electrical monitoring unit (including rapid eye movement data) 120, the body temperature monitoring unit 130, the multi-wavelength photoelectric tube I701, the multi-wavelength photoelectric tube II 702, the multi-wavelength photoelectric tube III 801, the multi-wavelength photoelectric tube IV 802 and the electrode 901.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
As shown in fig. 1 to 4, a flowchart of a miniaturized wearable polysomnography system according to an embodiment of the invention includes: the miniaturized wearable main body 01 is worn on the front side of the ear near the superficial temporal artery, the superficial temporal vein and the external carotid artery region, and a polysomnography monitoring system is arranged in the miniaturized wearable main body 01 and comprises an equipment unit group, a monitoring unit group and a control unit group; the control unit group is used for controlling the operation of the monitoring unit and the equipment unit and carrying out post-processing on various physiological data acquired by processing, the monitoring unit group is used for monitoring various physiological parameters of sleeping, the equipment unit group is used for forming a whole monitoring system circuit and communicating transmission of signals, the miniaturized wearing type main body 01 is worn in the front temporal area of the ear, then the control unit group is started to drive the monitoring unit group to monitor various factors of sleeping, the monitoring data is transferred into the control unit group for analysis processing under the transmission of the equipment unit, the rapid and accurate diagnosis of diseases such as sleep apnea and the like is realized, meanwhile, the whole equipment is small in size, convenient to use and carry, good in clinical operability and capable of being repeatedly used, and higher in popularization and application capacity.
In the embodiment of the invention, the miniaturized wearing type main body 01 is provided with a round shell structure similar to a coin in size and has the thickness of 5-8mm, the inner side of the shell structure is provided with the gel coating 02, the gel coating 02 has biocompatibility, and the gel coating 02 is adhered to skin for wearing, and plays roles of signal transmission and adhesion fixation.
In one example of the present invention, the control unit group includes a control logic unit 10, where the control logic unit 10 is configured as a low-power processor, and is configured to process the collected multiple physiological parameters and perform post-processing on the data;
the equipment unit group comprises a power management unit 40, the power management unit 40 comprises a lithium battery group and a control switch module for controlling the operation of the lithium battery group, the control switch module is matched with the lithium battery group to regulate the output voltage of the lithium battery and manage low power consumption, one side of the lithium battery group is provided with a charging interface unit 60, the lithium battery group is charged through the charging interface unit 60, and the interface can be set as a magnetic interface or a standard USB interface and the like;
the wireless data transmission unit 20 is connected with the control logic unit 10, and the wireless data transmission unit 20 is set to be in a low-power consumption Bluetooth or other wireless transmission mode and is used for transmitting various physiological parameters processed by the logic control unit 10 to other terminals, such as a mobile phone or a server side;
the acousto-optic prompting unit 30 is connected with the control logic unit 10, the acousto-optic prompting unit 30 is set to be a polychromatic light state prompting part, a buzzer or a voice prompting part, and the working state of the miniaturized wearable polysomnography monitoring system is represented by acousto-optic information.
As a preferred embodiment of the present invention, referring to fig. 4 to 6, the monitoring unit group includes an blood oxygen monitoring unit 70, a blood pressure monitoring unit 80, an electrocardiographic heart rate monitoring unit 90, a breath sound monitoring unit 100, a sleep depth monitoring unit 110, a forehead lobe brain electrical monitoring unit 120, and a body temperature monitoring unit 130;
the blood oxygen monitoring unit 70 is internally provided with the multi-wavelength photoelectric tube I701, the multi-wavelength photoelectric tube II 702, the receiving photoelectric sensor, the driving circuit and the data acquisition circuit at the position close to the auricular temporal artery, the temporal superficial vein and the external carotid artery, and the blood oxygen saturation of the auricular region is monitored through the structure, and compared with wrist or fingertip measurement by utilizing the characteristics of superficial blood vessel, constant position and thick blood vessel of the position, the influence of the movement of the measuring part on the measuring result is not required, the measuring speed is faster, and the measuring result is more accurate;
the blood pressure monitoring unit 80 comprises a multi-wavelength photoelectric tube III 801, a multi-wavelength photoelectric tube IV 802, biological signals are obtained by matching the multi-wavelength photoelectric tube III 801, the multi-wavelength photoelectric tube IV 802 and the electrocardio heart rate monitoring unit 90, a measuring and calculating relationship between systolic pressure and diastolic pressure is established by an electrocardio signal (ECG) and a photoelectric volume pulse wave calculating method, and P is obtained by peak searching of the ECG ECG Multi-wavelength photoelectric transmission peak searching P pho_elec_T Receiving peak search P pho_elec_R Calculating phase peak delay delta delay Phase difference D phase In P ECG Is the central value ， With P pho_elec Window function shifting for half bandwidth, filter coeff Fuc is a weighted filter factor win K is a dynamic window function n For the variable coefficients, parameters in the data window period are calculated, and the algorithm formula is as follows:
S peak ＝K 0 *P ECG *K 1 *P pho_elec *K 2 *D phase *K 3 *δ delay
BP＝S peak *Filter coeff *Fuc win_BP
BO＝S peak *Filter coeff *Fuc win_BO
the Blood Pressure (BP) and blood oxygen data (BO) at any moment can be accurately obtained through the algorithm; compared with the traditional palpation method, the external skin patch is only attached to the external skin surface close to the superficial temporal artery, the superficial temporal vein and the external carotid artery area without wearing a cuff.
The electrocardio heart rate monitoring unit 90 comprises an electrode 901, and is used for carrying out high-resolution sampling and filtering treatment on body surface biological potentials close to superficial temporal arteries, superficial temporal veins and external carotid artery areas to obtain ECG waveforms through reduction, so that index data such as heart rate and heart rate can be obtained without any extra lead wire, and the electrocardio heart rate monitoring unit has the advantages of simple structure, high monitoring accuracy and the like;
the algorithm formula is as follows: heart rate = S peak *Filter coeff *Fuc win_HR1
Heart rhythm = S peak *Filter coeff *Fuc win_HR2
The breath sound monitoring unit 100 is composed of vibration sensors capable of collecting audio signals and is clung to a position between skin and bones, namely a position near temporal bone region and a mandible region, which are relatively thin in subcutaneous tissue, the region is adjacent to nasal cavities, the breath sound is clear in conduction, micro-vibration signals are picked up through the vibration effect on the bone region during breathing, and breathing sound under a natural breathing state can be obtained after specific filtering and amplification treatment, so that snore and breathing sound are very easy to distinguish;
the forehead lobe brain electrical monitoring unit (120) uses four paths of differential electrodes of the miniaturized wearing type polysomnography monitoring product, which are close to the skin side, to detect body surface biological potential, and the forehead lobe brain electrical data can be separated through filtering and algorithm processing and used for identifying sleep states, and meanwhile, the product can also obtain rapid eye movement period data;
EEG＝ρ 0 *K 0 *E diff1 *E diff2 *Fuc win_EEG
wherein ρ is 0 For weighted calibration coefficients, k, within the delta-gamma band n Is the weight; r is R n The characteristic proportion of the corresponding frequency band is equal to the energy in the frequency band divided by the total frequency band energy, and n is the number of sampling sequences; e (E) diff1 Is a single-path differential signal ， E diff2 Is the 2 nd path differential signal。
The sleep depth monitoring unit (110) utilizes a multi-axis acceleration sensor to identify the body movement data characteristics, and calculates the current sleep depth by combining heart rate, blood pressure, forehead lobe brain electrical data and the like;
the body temperature monitoring unit utilizes a temperature sensor placed at a skin contact position to continuously and jointly monitor local skin temperature and blood oxygen, and performs sectional fitting on a blood oxygen calculated value and a temperature measurement T value to calculate current body temperature data.
In the above embodiment of the present invention, a miniaturized wearable polysomnography system is provided, when in use, the miniaturized wearable main body 01 is worn on the side of the front side of the ear near the superficial temporal artery, the superficial temporal vein and the external carotid artery region, then the blood oxygen monitoring unit 70, the blood pressure monitoring unit 80, the electrocardiographic heart rate monitoring unit 90, the respiratory sound monitoring unit 100, the sleep depth monitoring unit (including body movement data) 110, the forehead lobe electroencephalogram monitoring unit (including rapid eye movement data) 120 and the body temperature monitoring unit 130 are controlled, the corresponding blood oxygen content, the blood pressure, the electrocardiographic heart rate, the breathing sound absorption and other factors are monitored in real time, then the monitored signals are transmitted into the system logic unit 10 under the cooperation of the equipment unit group, the data are analyzed and processed, the current sleeping depth is calculated, and the physiological characteristics of the superficial temporal artery, the superficial temporal vein and the external carotid artery region on the external auricle side are fully combined, and the miniaturized wearable polysomnography system is constructed by using the miniaturized wearable monitoring technology, such as blood oxygen, blood pressure, sleep index, forehead brain electricity and the forehead lobe electricity.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (8)
1. A miniaturized wearable polysomnography system, comprising: the miniaturized wearable main body (01) is worn on the front side of the ear and close to the superficial temporal artery, the superficial temporal vein and the external carotid artery region, a polysomnography monitoring system is arranged in the miniaturized wearable main body (01), and the polysomnography monitoring system comprises an equipment unit group, a monitoring unit group and a control unit group; the control unit group is used for controlling the operation of the monitoring unit and the equipment unit and processing and collecting various physiological data and carrying out post-processing on the physiological data, the monitoring unit group is used for monitoring various physiological parameters of sleeping, and the equipment unit group is used for forming the communication transmission of the whole monitoring system circuit and signals; the control unit group comprises a control logic unit (10), wherein the control logic unit (10) is arranged as a low-power-consumption processor and is used for processing various collected physiological parameters and performing post-processing on data;
the equipment unit group comprises a power management unit (40), a wireless data transmission unit (20) and an acousto-optic prompt unit (30), which are connected with the control logic unit (10);
the monitoring unit group comprises a blood oxygen monitoring unit (70), a blood pressure monitoring unit (80), an electrocardio heart rate monitoring unit (90), a breathing sound monitoring unit (100), a sleep depth monitoring unit (110), a forehead lobe brain electricity monitoring unit (120) and a body temperature monitoring unit (130);
the blood oxygen monitoring unit (70) is internally provided with a multi-wavelength photoelectric tube I (701), a multi-wavelength photoelectric tube II (702), a receiving photoelectric sensor, a driving circuit and a data acquisition circuit at positions close to the auricular temporal artery, the temporal superficial vein and the external carotid artery region, and blood oxygen saturation is monitored in the auricular region through the structure;
the blood pressure monitoring unit (80) comprises a multi-wavelength photoelectric tube III (801), a multi-wavelength photoelectric tube IV (802), biological signals are obtained through the cooperation of the multi-wavelength photoelectric tube III (801), the multi-wavelength photoelectric tube IV (802) and the electrocardio heart rate monitoring unit (90), and a measuring and calculating relation between systolic pressure and diastolic pressure is established through an electrocardio signal (ECG) and a photoelectric volume pulse wave calculating method;
the electrocardio heart rate monitoring unit (90) comprises an electrode (901), and the ECG waveform is obtained through high-resolution sampling and filtering treatment on body surface biological potentials close to superficial temporal arteries, superficial temporal veins and external carotid artery areas, so as to obtain heart rate and heart rhythm index data;
the breath sound monitoring unit (100) is composed of a vibration sensor capable of collecting audio signals and is clung to a position between skin and bones, namely a position near temporal bone area and a mandible area, wherein the position is thinner than subcutaneous tissues, the region is adjacent to nasal cavities, the breath sound is clear in conduction, micro-vibration signals are picked up through the vibration effect of the bone area during breathing, and 'breath sound' in a natural breathing state can be obtained after specific filtering and amplification treatment, so that snore sound and breath sound are very easy to distinguish;
the forehead lobe brain electrical monitoring unit (120) uses four paths of differential electrodes of the miniaturized wearing type polysomnography monitoring product, which are close to the skin side, to detect body surface biological potential, and the forehead lobe brain electrical data can be separated through filtering and algorithm processing and used for identifying sleep states, and meanwhile, the product can also obtain rapid eye movement period data;
the sleep depth monitoring unit (110) utilizes a multi-axis acceleration sensor to identify body movement data characteristics, and calculates the current sleep depth by combining heart rate, blood pressure, forehead lobe brain electrical data and the like;
the body temperature monitoring unit utilizes a temperature sensor placed at a skin contact position to continuously and jointly monitor local skin temperature and blood oxygen, and performs sectional fitting on a blood oxygen calculated value and a temperature measurement T value to calculate current body temperature data.
2. The miniaturized wearable polysomnography system according to claim 1, wherein the miniaturized wearable main body (01) is a round shell structure with the size similar to a coin and the thickness of 5-8mm, a gel coating (02) is arranged on the inner side of the shell structure, the gel coating (02) has biocompatibility, and the miniaturized wearable polysomnography system is adhered and worn with skin, and simultaneously has the functions of signal transmission and adhesion fixation.
3. The miniaturized wearable polysomnography system of claim 1 wherein said power management unit (40) comprises a lithium battery pack and a control switch module for controlling the operation of the lithium battery pack, said control switch module being matched with the lithium battery pack to regulate the output voltage of the lithium battery and to manage the low power consumption.
4. A miniaturized wearable polysomnography system according to claim 3, wherein a charging interface unit (60) is arranged on one side of the lithium battery pack, and the lithium battery pack is charged by the charging interface unit (60), and the interface can be set as a magnetic interface or a standard USB interface.
5. The miniaturized wearable polysomnography system of claim 1 wherein said acousto-optic cue unit (30) is configured as a polychromatic light state cue and a buzzer or voice cue, and the operating state of the miniaturized wearable polysomnography system is characterized by acousto-optic information.
6. The miniaturized wearable polysomnography system according to claim 1, wherein the measurement and calculation relationship of the systolic pressure and the diastolic pressure is established by an electrocardio signal (ECG) and a photoelectric volume pulse wave calculation method as follows: peak P by ECG ECG Multi-wavelength photoelectric transmission peak searching P pho_elec_T Receiving peak search P pho_elec_R Calculating phase peak delay delta delay Phase difference D phase In P ECG Is the central value ， With P pho_elec Window function movement for half bandwidth, fi lter coeff Fuc is a weighted filter factor win K is a dynamic window function n For the variable coefficients, parameters in the data window period are calculated, and the algorithm formula is as follows:
S peak ＝K 0 *P ECG *K 1 *P pho_elec *K 2 *D phase *K 3 *δ delay
BP＝S peak *Fi lter coeff *Fuc win_BP
BO＝S peak *Fi lter coeff *Fuc win_BO
the Blood Pressure (BP) and blood oxygen data (BO) at any moment can be accurately obtained through the algorithm.
7. The miniaturized wearable polysomnography system of claim 1 wherein the heart rate and heart rate indicator data measurement algorithm is formulated as follows: heart rate = S peak *Fi lter coeff *Fuc win_HR1
Heart rhythm = S peak *Fi lter coeff *Fuc win_HR2 。
8. The miniaturized wearable polysomnography system of claim 1 wherein the rapid eye movement data measurement formula is as follows;
EEG＝ρ 0 *K 0 *E diff1 *E diff2 *Fuc win_EEG
wherein ρ is 0 For weighted calibration coefficients, k, within the delta-gamma band n Is the weight; r is R n The characteristic proportion of the corresponding frequency band is equal to the energy in the frequency band divided by the total frequency band energy, and n is the number of sampling sequences; e (E) diff1 As a single-path differential signal E diff2 Is the (2) th differential signal.
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