CN115670396A - Intelligent portable watch for pulse wave determination - Google Patents
Intelligent portable watch for pulse wave determination Download PDFInfo
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- CN115670396A CN115670396A CN202211383572.3A CN202211383572A CN115670396A CN 115670396 A CN115670396 A CN 115670396A CN 202211383572 A CN202211383572 A CN 202211383572A CN 115670396 A CN115670396 A CN 115670396A
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Abstract
The invention discloses an intelligent portable watch for pulse wave determination, relates to the technical field of pulse wave determination, and aims to solve the problems of inconvenience and inaccurate measurement result in pulse determination. This intelligent portable pulse ripples is wrist-watch for survey, including dial plate and pulse sensor, dial plate upper end and last watchband, it is provided with the fixture block to go up the watchband inner wall, the dial plate bottom is connected with lower watchband one end, a plurality of card holes have been seted up on the lower watchband, three group's sensors have adopted different measurement mode to measure the pulse, can obtain the pulse measured data of three group's collections after measuring, it is no longer single to make data acquisition, calculation through the later stage also makes pulse data more accurate, carry out the differentiation of multiunit with different data threshold values, carry out the strong and weak differentiation of grade according to the data that grade alarm module will distinguish after the differentiation, alarm sound accessible speaker is propagated, normal pulse data can support and show in the electronic display screen.
Description
Technical Field
The invention relates to the technical field of pulse wave measurement, in particular to an intelligent portable watch for pulse wave measurement.
Background
The pulse wave is formed by the propagation of the pulsation (vibration) of the heart to the outer periphery along the arterial blood vessel and the blood flow, and the conventional pulse wave measurement has the following problems:
1. when the pulse is measured, the measuring instrument is inconvenient and limited, and the measuring mode is too single, so that the measuring result is not accurate,
2. after the pulse data is acquired, the data is directly transmitted without judging and deciding the numerical value of the data, and the self-judgment of the data is lacked.
Disclosure of Invention
The invention aims to provide an intelligent portable watch for determining pulse waves, wherein three groups of sensors adopt different measuring modes to measure pulses, three groups of acquired pulse measuring data can be obtained after measurement, data acquisition is not single any more, the pulse data is more accurate after later-stage calculation, different data thresholds are distinguished into a plurality of groups, the distinguished data are distinguished into different levels according to a level alarm module, the higher the abnormal index is, the higher the alarm index is, the lower the abnormal index is, the lower the alarm index is, finally alarm processing can be carried out, alarm sound can be transmitted through a loudspeaker, the higher the alarm index is, the higher the sound is, the lower the alarm index is, the normal pulse data can be displayed in an electronic display screen by a support, and the problem in the prior art can be solved.
In order to achieve the purpose, the invention provides the following technical scheme:
the intelligent portable watch for measuring the pulse waves comprises a watch disc and a pulse sensor, wherein the upper end of the watch disc is connected with an upper watch band, the inner wall of the upper watch band is provided with a fixture block, the bottom end of the watch disc is connected with one end of a lower watch band, the lower watch band is provided with a plurality of clamping holes, the other end of the lower watch band is provided with a limiting strip, the outer wall of the watch disc is provided with an electronic display screen and a loudspeaker, and the inner wall of the watch disc is provided with the pulse sensor;
the pulse sensor comprises a pressure sensing system, an AD conversion unit, a detection decision system and an alarm system;
a pressure sensing system for:
acquiring the pulse through the pressure of the pulse without using a mode;
an AD conversion unit configured to:
converting pressure change data into an electrical signal which can be more intuitively observed and detected based on a pressure sensing system;
a detection decision system to:
performing data calculation on the detected data based on the AD conversion unit, and counting abnormal data;
an alert system for:
and based on the data calculated in the detection decision system, alarming the abnormal part in the data according to the abnormal grade.
Preferably, the pressure sensing system includes:
the pulse signal acquisition module is used for:
acquiring data of pressure change generated during artery pulsation through multiple acquisition modes;
a classification storage unit to:
and storing the data acquired by different acquisition modes in a classified manner.
Preferably, the pulse signal acquisition module includes:
a piezoelectric acquisition unit to:
the sensor based on the piezoelectric effect measures the force and energy of the blood vessel in the pulse beat to be converted into electric non-electric physical quantity;
a piezoresistive acquisition unit to:
measuring pressure, tension, pressure difference and other physical quantities (such as liquid level, acceleration, weight, strain, flow and vacuum degree) which can be converted into force change in the pulse beat of the blood vessel based on the piezoresistive sensor;
a photoelectric acquisition unit for:
the sensor based on the photoelectric effect generates the photoelectric effect after being irradiated by visible light when the blood vessel is in pulse, and converts the optical signal into an electric signal to be output.
Preferably, the piezoelectric type collecting unit is further configured to:
when the crystal in the sensor with the piezoelectric effect is subjected to external force in a fixed direction during pulse jumping, an electric polarization phenomenon is generated inside the crystal, and charges with opposite signs are generated on the surface of the piezoresistive sensor; when the external force is removed, the crystal returns to an uncharged state; when the direction of the external force action is changed, the polarity of the charges is changed; the charge quantity generated by the crystal under the action of force is in direct proportion to the magnitude of the external force.
Preferably, the piezoresistive collecting unit is further configured to:
a monocrystalline silicon wafer in the piezoresistive sensor is diffused with a group of equivalent resistors in a specific direction of monocrystalline silicon by utilizing the process of an integrated circuit, the resistors are connected into a bridge circuit, and the monocrystalline silicon wafer is arranged in a sensor cavity. When the pressure changes, the monocrystalline silicon generates strain, so that the strain resistance directly diffused on the monocrystalline silicon generates change in direct proportion to the measured pressure, and then a bridge circuit obtains a corresponding voltage output signal.
Preferably, the photoelectric type collecting unit is further configured to:
the photoelectric effect sensor utilizes three types of external photoelectric effect, internal photoelectric effect and photovoltaic effect to enable the optical distance between a pulse contact surface and the photoelectric effect sensor to form photovoltaic electromotive force when a pulse beats.
Preferably, the detection decision system includes:
a data receiving module to:
receiving a plurality of data acquisition results based on a plurality of pulse acquisition modes in the pressure sensing system;
a data comparison module to:
arranging and comparing the data transmitted in the data receiving module with the stored data of the normal threshold value;
a comparison data calculation module to:
carrying out numerical difference calculation on the data of the normal range value in the data comparison module and the acquired data;
a calculation data reading module to:
reading the result obtained by the difference calculation, and effectively detecting the read value;
an anomaly classification module to:
performing packet packing and classification on the effective abnormal data according to the numerical value;
a memory module of the type used to:
and storing the plurality of groups of packed abnormal data values.
Preferably, the alarm system includes:
an exception data reading module to:
receiving and reading multiple groups of packed numerical values of abnormal data based on a detection decision system;
an anomaly level classification module to:
based on the plurality of groups of packed numerical values read in the abnormal data reading module, distinguishing the threshold values;
wherein the larger the value of the threshold value is, the higher the abnormality index is, and the smaller the value of the threshold value is, the lower the abnormality index is;
a rank alert module to:
dividing alarm indexes of the abnormal grade classification module based on the size of the threshold value distinguished in the abnormal grade classification module;
wherein the higher the threshold value of the abnormality index, the higher the alarm index, the lower the threshold value of the abnormality index, and the lower the alarm index;
an alert storage module to:
and storing according to all abnormal data in the grade alarm module.
Preferably, the exception data reading module is further configured to:
counting the target values of which the importance degrees of each group of packed data receiving terminals are more than or equal to a preset threshold value;
acquiring historical transmission success data of each data acquisition receiving terminal, analyzing the historical transmission success data to determine the integrity and the safety of the data acquisition receiving terminal, and evaluating a threat risk index and a vulnerability risk index of the data acquisition receiving terminal according to the integrity and the safety;
and calculating the security index of each data receiving terminal by utilizing a preset risk evaluation system according to the threshold value of the target value of each data receiving terminal and the threat risk index and the vulnerability risk index of the data receiving terminal.
Preferably, the calculation data reading module further includes:
the sequence judgment unit is used for acquiring the numerical sequence of the data difference calculation, periodically detecting the numerical sequence and judging whether the numerical sequence is a periodic sequence;
the sequence analysis unit is used for dividing the numerical sequence according to a period to obtain a plurality of groups of same first subsequences after the numerical sequence is determined to be a periodic sequence, judging whether all numerical values in the first subsequences are larger than preset numerical values, if so, extracting first abnormal numerical values larger than the preset numerical values in the first subsequences, determining adjacent time intervals among the first abnormal numerical values, judging whether the time intervals are within a preset time interval range, if so, taking the first abnormal numerical values and the time intervals as first abnormal data, and otherwise, determining that the first abnormal numerical values are invalid;
the sequence analysis unit is further configured to, after the numerical sequence is determined to be a non-periodic sequence, perform clustering operation on the numerical sequence by using a one-dimensional clustering method to obtain a plurality of segmentation points, divide the numerical sequence by using the plurality of segmentation points to obtain a plurality of groups of different second subsequences, obtain a third subsequence having a value greater than a preset value from the second subsequence, determine an abnormal time interval of the third subsequence based on a position of the third subsequence in the numerical sequence, obtain a fourth subsequence having an abnormal time interval of an adjacent third subsequence in the preset time interval range, and use the fourth subsequence and the abnormal time interval as second abnormal data;
and the data integration unit is used for carrying out periodic marking on the first abnormal data to obtain first effective abnormal data, carrying out non-periodic marking on the second abnormal data to obtain second effective abnormal data, and taking the first effective abnormal data and the second effective abnormal data as final effective abnormal data sending values to the abnormal classification module.
Preferably, before converting the optical signal into an electrical signal and outputting, the method further comprises:
dividing the optical signal into a plurality of sub-signal waves and detecting the power and wavelength of each sub-signal wave;
selecting an adaptive phase matching factor based on the phase change condition of each sub-signal wave;
calculating the multi-wave mixing efficiency of the optical signal according to the parameters:
where A is expressed as the multi-wave mixing efficiency of the optical signal, a is expressed as a preset signal wave mixing loss factor, Δ b is expressed as a phase matching factor, sin is expressed as a sine function, N is expressed as the number of sub-signal waves, i is expressed as the ith sub-signal wave, and S is expressed as the number of the first sub-signal waves i Expressed as the wavelength of the ith sub-signal wave, e is expressed as a natural constant, with a value of 2.72 ′ Expressed as the average wavelength of the sub-signal waves;
calculating the peak power of the multi-wave mixing of the optical signal according to the multi-wave mixing efficiency of the optical signal and the power of each sub-signal wave:
wherein, P ′ Expressed as the peak power of the multi-wave mixing of the optical signal, j is expressed as the jth sub-signal wave, P j Expressed as the power of the jth sub-signal wave, alpha is expressed as a nonlinear coefficient, ln is expressed as a natural logarithm, and d is expressed as a preset multi-wave mixing degeneration factor;
setting a conversion parameter of a photoelectric element in the sensor based on a photoelectric effect according to the peak power of the multi-wave mixing of the optical signal;
and controlling the sensor based on the photoelectric effect to convert the optical signal into an electric signal according to the set conversion parameters and outputting the electric signal.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the intelligent portable watch for determining the pulse wave, provided by the invention, three groups of sensor devices in the pulse sensor respectively measure the pulse beating frequency in the blood vessel of a user, the three groups of sensors are respectively a sensor with a piezoelectric effect, a piezoresistive sensor and a sensor with a photoelectric effect, the three groups of sensors adopt different measuring modes to measure the pulse, and after measurement, three groups of acquired pulse measurement data can be obtained, so that the data acquisition is not single any more, and the pulse data is more accurate through later-stage calculation.
2. According to the intelligent portable watch for measuring the pulse wave, when a crystal in a piezoelectric effect sensor is subjected to external force in a fixed direction during pulse jumping, an electric polarization phenomenon is generated inside the crystal, and charges with opposite signs are generated on the surface of a piezoresistive sensor; when the external force is removed, the crystal returns to an uncharged state; when the direction of the external force action is changed, the polarity of the charge is changed; the charge quantity generated by the stress of the crystal is in direct proportion to the magnitude of the external force, a group of equivalent resistors are diffused in the specific direction of the monocrystalline silicon by the monocrystalline silicon piece in the piezoresistive sensor by utilizing the process of an integrated circuit, the resistors are connected into a bridge circuit, and the monocrystalline silicon piece is arranged in the sensor cavity. When the pressure changes, the monocrystalline silicon generates strain, so that the strain resistance directly diffused on the monocrystalline silicon generates change in direct proportion to the measured pressure, then a bridge circuit acquires a corresponding voltage output signal, and the photoelectric effect sensor utilizes three types of external photoelectric effect, internal photoelectric effect and photovoltaic effect to enable the optical distance between the pulse contact surface and the photoelectric effect sensor to form photovoltaic electromotive force when the pulse beats.
3. The invention provides an intelligent portable watch for pulse wave determination, a comparison data calculation module calculates abnormal data and data of a normal threshold value, the number of the abnormal data is calculated, the abnormal data is packaged and classified according to the size of the abnormal data by an abnormal classification module, the packaged abnormal data is received by an abnormal data reading module, the abnormal data is classified by an abnormal grade classification module after being received, a plurality of groups of different data threshold values are distinguished, the distinguished data is classified according to the grade strength by a grade alarm module after being distinguished, the larger the value of the threshold value is, the higher the abnormal index is, the lower the value of the threshold value is, the lower the abnormal index is, the higher the abnormal index is, the lower the abnormal index is, finally, alarm processing can be carried out, alarm sound can be transmitted out through a loudspeaker, the higher the alarm index is, the higher the sound is, the lower the alarm index is, the lower sound is, and the normal pulse data can be displayed in an electronic display screen in a supporting mode.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a rear view of the present invention;
FIG. 3 is a schematic diagram of a pulse sensor module according to the present invention;
FIG. 4 is a schematic diagram of a pressure sensing system module of the present invention;
FIG. 5 is a schematic diagram of a pulse signal acquisition module according to the present invention;
FIG. 6 is a block diagram of a detection decision system according to the present invention;
FIG. 7 is a schematic diagram of an alarm system module of the present invention.
In the figure: 1. a dial plate; 11. a watchband is put on; 12. a clamping block; 13. a watchband is put down; 14. blocking holes; 15. a limiting strip; 16. an electronic display screen; 17. a speaker; 2. a pulse sensor.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In order to solve the problems that in the prior art, when a pulse is measured, a measuring instrument is inconvenient, the measuring instrument is limited when measuring, and the measuring mode is too single, so that the measuring result is not accurate enough, please refer to fig. 1 to 5, the embodiment provides the following technical solutions:
an intelligent portable watch for measuring pulse waves comprises a dial 1 and a pulse sensor 2, wherein the upper end of the dial 1 is connected with an upper belt 11, a fixture block 12 is arranged on the inner wall of the upper belt 11, the bottom end of the dial 1 is connected with one end of a lower belt 13, a plurality of clamping holes 14 are formed in the lower belt 13, a limiting strip 15 is arranged at the other end of the lower belt 13, an electronic display screen 16 and a loudspeaker 17 are arranged on the outer wall of the dial 1, and the pulse sensor 2 is arranged on the inner wall of the dial 1;
the pulse sensor 2 comprises a pressure sensing system, an AD conversion unit, a detection decision system and an alarm system; a pressure sensing system for: acquiring the pulse by the pressure of the pulse without using a mode; an AD conversion unit configured to: converting pressure change data into an electrical signal which can be more intuitively observed and detected based on a pressure sensing system; a detection decision system to: performing data calculation on the detected data based on the AD conversion unit, and counting abnormal data; an alert system for: and based on the data calculated in the detection decision system, alarming the abnormal part in the data according to the abnormal grade.
The pressure sensing system comprises: the pulse signal acquisition module is used for:
acquiring data of pressure change generated during artery pulsation through multiple acquisition modes; a classification storage unit to: and storing the data acquired by different acquisition modes in a classified manner. The pulse signal acquisition module comprises: a piezoelectric acquisition unit to: the sensor based on the piezoelectric effect measures the force and energy of the blood vessel in the pulse beat to be converted into electric non-electric physical quantity; a piezoresistive acquisition unit for: measuring pressure, tension, pressure difference and other physical quantities (such as liquid level, acceleration, weight, strain, flow and vacuum degree) which can be converted into force change in the pulse beat of the blood vessel based on the piezoresistive sensor; a photoelectric acquisition unit for: the sensor based on the photoelectric effect generates the photoelectric effect after being irradiated by visible light when the blood vessel is in pulse, and converts the optical signal into an electric signal to be output.
The piezoelectric type acquisition unit is further used for: when the crystal in the sensor with the piezoelectric effect is subjected to external force in a fixed direction during pulse jumping, an electric polarization phenomenon is generated inside the crystal, and charges with opposite signs are generated on the surface of the piezoresistive sensor; when the external force is removed, the crystal returns to an uncharged state; when the direction of the external force action is changed, the polarity of the charges is changed; the electric charge quantity generated by the crystal under stress is in direct proportion to the magnitude of the external force, and the piezoresistive acquisition unit is also used for: a monocrystalline silicon wafer in the piezoresistive sensor is diffused with a group of equivalent resistors in a specific direction of monocrystalline silicon by utilizing the process of an integrated circuit, the resistors are connected into a bridge circuit, and the monocrystalline silicon wafer is arranged in a sensor cavity. When the pressure changes, the monocrystalline silicon generates strain, so that the strain resistance directly diffused on the monocrystalline silicon generates change in direct proportion to the measured pressure, and then a bridge circuit obtains a corresponding voltage output signal, wherein the photoelectric acquisition unit is also used for: the photoelectric effect sensor utilizes three types of external photoelectric effect, internal photoelectric effect and photovoltaic effect to enable the optical distance between a pulse contact surface and the photoelectric effect sensor to form photovoltaic electromotive force when a pulse beats.
It is concrete, when the user wears, go up 11 one ends of watchband and pass in spacing 15, later adjust according to user's size, adjust and accomplish the back and go into fixture block 12 card in the card hole 14, wear to accomplish back pulse sensor 2 direct and user's skin and contact, after the contact, three sensor device of group measure the frequency that the pulse is beated in the user's blood vessel respectively among the pulse sensor 2, three sensor of group are the sensor of piezoelectricity effect respectively, the sensor of piezoresistive sensor and photoelectric effect, three sensor of group have adopted different measuring methods to measure the pulse, can obtain the pulse measured data of three collection of group after measuring, make data acquisition no longer single, also make pulse data more accurate through the calculation in later stage.
In order to solve the problems that in the prior art, after pulse data acquisition is completed, data is directly transmitted, a numerical value of the data is not judged and decided, and self judgment of the data is lacked, please refer to fig. 6 to 7, and the embodiment provides the following technical solutions:
the detection decision system comprises: a data receiving module to: receiving various data acquisition results based on various pulse acquisition modes in the pressure sensing system; a data comparison module to: arranging and comparing the data transmitted in the data receiving module with the stored data of the normal threshold value; a comparison data calculation module to: carrying out numerical difference calculation on the data of the normal range value in the data comparison module and the acquired data; a calculation data reading module to: reading a result obtained by difference calculation, and effectively detecting a read value; an anomaly classification module to: performing grouping packing and classification on the data of the effective abnormal data according to the numerical value; a memory module of the type used to: and storing the plurality of groups of packed abnormal data values.
The alarm system, comprising: an exception data reading module to: receiving and reading multiple groups of packed numerical values of abnormal data based on a detection decision system; an anomaly level classification module to: based on the plurality of groups of packed numerical values read in the abnormal data reading module, distinguishing the threshold values; wherein the larger the value of the threshold value is, the higher the abnormality index is, and the smaller the value of the threshold value is, the lower the abnormality index is; a rank alert module to: dividing alarm indexes of the abnormal grade classification module based on the size of the threshold value distinguished in the abnormal grade classification module; wherein the higher the threshold value of the abnormality index, the higher the alarm index, the lower the threshold value of the abnormality index, and the lower the alarm index; an alert storage module to: and storing according to all abnormal data in the grade alarm module, wherein the abnormal data reading module is further used for: counting the target values of which the importance degrees of each group of packed data receiving terminals are more than or equal to a preset threshold value; acquiring historical transmission success data of each data acquisition receiving terminal, analyzing the historical transmission success data to determine the integrity and the safety of the data acquisition receiving terminal, and evaluating a threat risk index and a vulnerability risk index of the data acquisition receiving terminal according to the integrity and the safety; and calculating the security index of each data receiving terminal by utilizing a preset risk evaluation system according to the threshold value of the target value of each data receiving terminal and the threat risk index and the vulnerability risk index of the data receiving terminal.
Specifically, the data receiving module receives pulse data collected by a piezoelectric effect sensor, a piezoresistive sensor and a photoelectric effect sensor, the data is compared with a normal range value through a data comparison module after being received, data higher than or lower than the normal threshold value is extracted through the data comparison module, the extracted data is abnormal data, the abnormal data is calculated with the data of the normal threshold value through a comparison data calculation module after being extracted, the number of the abnormal data is calculated, the abnormal data is packaged and classified according to the number of the abnormal data by the abnormal classification module, the abnormal data packaged and received is received by the abnormal data reading module, the abnormal data is classified by the abnormal classification module after being received, different data threshold values are classified into a plurality of groups, the classified data are classified according to the grade alarm module after being classified, the larger the value of the threshold value is, the higher the abnormal index is, the smaller the abnormal index is the smaller the value is, the higher the alarm index is the higher, the lower the abnormal index is the lower the alarm index is the lower, the alarm index can be processed finally, the higher the alarm sound is displayed by the alarm support 17, and the alarm sound can be displayed in the normal sound display.
In one embodiment, the calculation data reading module further includes:
the sequence judgment unit is used for acquiring the numerical sequence of the data difference calculation, periodically detecting the numerical sequence and judging whether the numerical sequence is a periodic sequence;
the sequence analysis unit is used for dividing the numerical sequence according to a period to obtain a plurality of groups of same first subsequences after the numerical sequence is determined to be a periodic sequence, judging whether all numerical values in the first subsequences are larger than preset numerical values, if so, extracting first abnormal numerical values larger than the preset numerical values in the first subsequences, determining adjacent time intervals among the first abnormal numerical values, judging whether the time intervals are within a preset time interval range, if so, taking the first abnormal numerical values and the time intervals as first abnormal data, and otherwise, determining that the first abnormal numerical values are invalid;
the sequence analysis unit is further configured to, after the numerical sequence is determined to be a non-periodic sequence, perform clustering operation on the numerical sequence by using a one-dimensional clustering method to obtain a plurality of segmentation points, divide the numerical sequence by using the plurality of segmentation points to obtain a plurality of groups of different second subsequences, obtain a third subsequence having a value greater than a preset value from the second subsequence, determine an abnormal time interval of the third subsequence based on a position of the third subsequence in the numerical sequence, obtain a fourth subsequence having an abnormal time interval of an adjacent third subsequence in the preset time interval range, and use the fourth subsequence and the abnormal time interval as second abnormal data;
and the data integration unit is used for carrying out periodic marking on the first abnormal data to obtain first effective abnormal data, carrying out non-periodic marking on the second abnormal data to obtain second effective abnormal data, and taking the first effective abnormal data and the second effective abnormal data as final effective abnormal data sending values to the abnormal classification module.
The working principle of the design scheme is as follows: firstly, periodically judging a numerical sequence, analyzing the periodic sequence and a non-periodic sequence in different modes to ensure the key point and the efficiency of sequence analysis, particularly, dividing the periodic sequence into the same first subsequence, judging the numerical value of the first subsequence and judging the time interval with a first abnormal numerical value, judging the time interval while ensuring that the numerical value meets the abnormal requirement, wherein the time interval exceeds a preset time interval to indicate that the time between two times of first abnormal numerical values is longer and cannot be used as effective abnormal data, the first abnormal numerical value and the time interval are used as first abnormal data to reduce the redundancy of the abnormal data and ensure the accuracy of the obtained first abnormal data, however, different sequence analysis modes are adopted for the non-periodic sequence, particularly, firstly, clustering operation is carried out on the numerical sequence through a one-dimensional clustering method to obtain a plurality of segmentation points, dividing points more accurately and objectively, providing a division basis for subsequent abnormal analysis, extracting a third subsequence with a value larger than a preset value after a non-periodic sequence is divided, determining an abnormal time interval of the third subsequence according to the position of the third subsequence in the non-periodic sequence, judging the abnormal time interval in the same way, removing the third subsequence which is not in the range of the preset time interval to obtain a fourth subsequence, taking the fourth subsequence and the abnormal time interval as second abnormal data to ensure the accuracy of the obtained second abnormal data, periodically marking the first abnormal data to obtain first effective abnormal data, non-periodically marking the second abnormal data to obtain second effective abnormal data, and taking the first effective abnormal data and the second effective abnormal data as final effective abnormal data, the clearness, the clarity and the accuracy of the finally obtained effective abnormal data are ensured, so that a basis is provided for judging and deciding the numerical value of the data, and the data can be conveniently judged by self.
The beneficial effect of above-mentioned design does: the method comprises the steps of firstly, carrying out periodic judgment on a numerical sequence, analyzing the periodic sequence and a non-periodic sequence in different modes, ensuring the key and efficiency of sequence analysis, dividing the periodic sequence into the same first subsequences, carrying out numerical judgment and time interval, judging the time interval while ensuring that the numerical value meets the abnormal requirement, indicating that the time between two times of first abnormal numerical values is long when the time exceeds a preset time interval, and the first abnormal numerical values and the time interval cannot be used as effective abnormal data.
In one embodiment, before converting the optical signal into an electrical signal output, the method further comprises:
dividing the optical signal into a plurality of sub-signal waves and detecting the power and wavelength of each sub-signal wave;
selecting an adaptive phase matching factor based on the phase change condition of each sub-signal wave;
calculating the multi-wave mixing efficiency of the optical signal according to the parameters:
where A is expressed as the multi-wave mixing efficiency of the optical signal, a is expressed as a preset signal wave mixing loss factor, Δ b is expressed as a phase matching factor, sin is expressed as a sine function, N is expressed as the number of sub-signal waves, i is expressed as the ith sub-signal wave, and S is expressed as the number of the first sub-signal waves i Expressed as the wavelength of the ith sub-signal wave, e is expressed as a natural constant, with a value of 2.72 ′ Expressed as the average wavelength of the sub-signal waves;
calculating the peak power of the multi-wave mixing of the optical signal according to the multi-wave mixing efficiency of the optical signal and the power of each sub-signal wave:
wherein, P ′ Expressed as the peak power of the multi-wave mixing of the optical signal, j is expressed as the jth sub-signal wave, P j Denoted as the jth sub-signal waveThe power of alpha is expressed as a nonlinear coefficient, ln is expressed as a natural logarithm, and d is expressed as a preset multi-wave mixing degeneracy factor;
setting a conversion parameter of a photoelectric element in the sensor based on a photoelectric effect according to the peak power of the multi-wave mixing of the optical signal;
and controlling the sensor based on the photoelectric effect to convert the optical signal into an electric signal according to the set conversion parameters and outputting the electric signal.
The beneficial effects of the above technical scheme are: the frequency mixing efficiency of the optical signal under the condition of multi-sub signal wave division can be effectively determined by calculating the multi-wave frequency mixing efficiency of the optical signal, so that the stability of the optical signal when the optical signal is converted into the electric signal can be evaluated, the working efficiency is improved, furthermore, the success rate and the reliability of converting the optical signal into the electric signal can be further ensured by calculating the peak power of the multi-wave frequency mixing of the optical signal and then adjusting the conversion parameter of a photoelectric element in a sensor, and the working efficiency and the stability are further improved.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a wrist-watch is used in survey of intelligent portable pulse wave, includes dial plate (1) and pulse sensor (2), its characterized in that: the upper end of the dial plate (1) is connected with the upper surface belt (11), a fixture block (12) is arranged on the inner wall of the upper surface belt (11), the bottom end of the dial plate (1) is connected with one end of the lower surface belt (13), a plurality of clamping holes (14) are formed in the lower surface belt (13), a limiting strip (15) is arranged at the other end of the lower surface belt (13), an electronic display screen (16) and a loudspeaker (17) are arranged on the outer wall of the dial plate (1), and a pulse sensor (2) is arranged on the inner wall of the dial plate (1);
the pulse sensor (2) comprises a pressure sensing system, an AD conversion unit, a detection decision system and an alarm system;
a pressure sensing system for:
acquiring the pulse by the pressure of the pulse without using a mode;
an AD conversion unit configured to:
converting pressure change data into an electrical signal which can be more intuitively observed and detected based on a pressure sensing system;
a detection decision system to:
performing data calculation on the detected data based on the AD conversion unit, and counting abnormal data;
an alert system for:
and based on the data calculated in the detection decision system, alarming the abnormal part in the data according to the abnormal grade.
2. The intelligent portable pulse wave measurement watch according to claim 1, wherein: the pressure sensing system comprises:
the pulse signal acquisition module is used for:
acquiring data of pressure change generated during artery pulsation through multiple acquisition modes;
a classification storage unit to:
and storing the data acquired by different acquisition modes in a classified manner.
3. The intelligent portable pulse wave measurement watch according to claim 2, wherein: the pulse signal acquisition module comprises:
a piezoelectric acquisition unit to:
the sensor based on the piezoelectric effect measures the force and energy of the blood vessel in the pulse beat to be converted into electric non-electric physical quantity;
a piezoresistive acquisition unit for:
measuring pressure, tension, pressure difference and physical quantity converted into force change of the blood vessel in pulse pulsation based on the piezoresistive sensor;
a photoelectric acquisition unit for:
the sensor based on the photoelectric effect generates the photoelectric effect on blood vessels after being irradiated by visible light when the blood vessels beat, and converts optical signals into electric signals to be output.
4. The intelligent portable pulse wave measurement watch according to claim 3, wherein: the piezoelectric type acquisition unit is further used for:
when the crystal in the sensor of the piezoelectric effect is subjected to external force in a fixed direction during pulse beat, an electric polarization phenomenon is generated inside the crystal, and electric charges with opposite signs are generated on the surface of the piezoresistive sensor.
5. The intelligent portable pulse wave measurement watch according to claim 3, wherein: the piezoresistive acquisition unit is further configured to:
the monocrystalline silicon piece in the piezoresistive sensor utilizes an integrated circuit to diffuse a group of equivalent resistors in the specific direction of the monocrystalline silicon, the resistors are connected into a bridge circuit, the monocrystalline silicon piece is arranged in a sensor cavity, when pressure changes, the monocrystalline silicon generates strain, the strain resistors diffused on the monocrystalline silicon piece generate change in direct proportion to the measured pressure, and then the bridge circuit obtains corresponding voltage output signals;
the photoelectric acquisition unit is further used for:
the photoelectric effect sensor utilizes the external photoelectric effect, the internal photoelectric effect and the photovoltaic effect to enable the optical distance between the pulse contact surface and the photoelectric effect sensor to form the photoproduction electromotive force when the pulse beats.
6. The intelligent portable pulse wave measurement watch according to claim 1, wherein: the detection decision system comprises:
a data receiving module to:
receiving a plurality of data acquisition results based on a plurality of pulse acquisition modes in the pressure sensing system;
a data comparison module to:
arranging and comparing the data transmitted in the data receiving module with the stored data of the normal threshold value;
a comparison data calculation module to:
performing numerical difference calculation on the data of the normal range value in the data comparison module and the acquired data;
a calculation data reading module to:
reading a result obtained by difference calculation, and detecting a read value;
an anomaly classification module to:
performing grouping packing and classification on the data of the effective abnormal data according to the numerical value;
a memory module of the type used to:
and storing the plurality of groups of packed abnormal data values.
7. The intelligent portable pulse wave measurement watch according to claim 1, wherein: the alarm system, comprising:
an exception data reading module to:
receiving and reading multiple groups of packed numerical values of abnormal data based on a detection decision system;
an anomaly level classification module to:
based on the plurality of groups of packed numerical values read in the abnormal data reading module, distinguishing the threshold values;
wherein the larger the value of the threshold value is, the higher the abnormality index is, and the smaller the value of the threshold value is, the lower the abnormality index is;
a rank alert module to:
dividing alarm indexes of the abnormal grade classification module based on the size of the threshold value distinguished in the abnormal grade classification module;
wherein the higher the threshold value of the abnormality index, the higher the alarm index, the lower the threshold value of the abnormality index, and the lower the alarm index;
an alert storage module to:
and storing according to all abnormal data in the grade alarm module.
8. The intelligent portable pulse wave measurement watch according to claim 7, wherein: the abnormal data reading module is further configured to:
counting the target values of which the importance degrees of each group of packed data receiving terminals are more than or equal to a preset threshold value;
acquiring historical transmission success data of each data acquisition receiving terminal, analyzing the historical transmission success data to determine the integrity and the safety of the data acquisition receiving terminal, and evaluating a threat risk index and a vulnerability risk index of the data acquisition receiving terminal according to the integrity and the safety;
and calculating the security index of each data receiving terminal by utilizing a preset risk evaluation system according to the threshold value of the target value of each data receiving terminal and the threat risk index and the vulnerability risk index of the data receiving terminal.
9. The intelligent portable pulse wave measurement watch according to claim 6, wherein: the calculation data reading module further comprises:
the sequence judgment unit is used for acquiring the numerical sequence of the data difference calculation, periodically detecting the numerical sequence and judging whether the numerical sequence is a periodic sequence;
the sequence analysis unit is used for dividing the numerical sequence according to a period to obtain a plurality of groups of same first subsequences after the numerical sequence is determined to be a periodic sequence, judging whether all numerical values in the first subsequences are larger than preset numerical values, if so, extracting first abnormal numerical values larger than the preset numerical values in the first subsequences, determining adjacent time intervals among the first abnormal numerical values, judging whether the time intervals are within a preset time interval range, if so, taking the first abnormal numerical values and the time intervals as first abnormal data, and otherwise, determining that the first abnormal numerical values are invalid;
the sequence analysis unit is further configured to, after the numerical sequence is determined to be a non-periodic sequence, perform clustering operation on the numerical sequence by using a one-dimensional clustering method to obtain a plurality of segmentation points, divide the numerical sequence by using the plurality of segmentation points to obtain a plurality of groups of different second subsequences, obtain a third subsequence having a value greater than a preset value from the second subsequence, determine an abnormal time interval of the third subsequence based on a position of the third subsequence in the numerical sequence, obtain a fourth subsequence having an abnormal time interval of an adjacent third subsequence in the preset time interval range, and use the fourth subsequence and the abnormal time interval as second abnormal data;
and the data integration unit is used for carrying out periodic marking on the first abnormal data to obtain first effective abnormal data, carrying out non-periodic marking on the second abnormal data to obtain second effective abnormal data, and taking the first effective abnormal data and the second effective abnormal data as final effective abnormal data sending values to the abnormal classification module.
10. The intelligent portable pulse wave measurement watch according to claim 3, wherein: before converting the optical signal into an electrical signal and outputting, the method further comprises the following steps:
dividing the optical signal into a plurality of sub-signal waves and detecting the power and wavelength of each sub-signal wave;
selecting an adaptive phase matching factor based on the phase change condition of each sub-signal wave;
calculating the multi-wave mixing efficiency of the optical signal according to the parameters:
where A is expressed as the multi-wave mixing efficiency of the optical signal, a is expressed as a preset signal wave mixing loss factor, Δ b is expressed as a phase matching factor, sin is expressed as a sine function, N is expressed as the number of sub-signal waves, i is expressed as the ith sub-signal wave, and S is expressed as the number of the first sub-signal waves i The wavelength of the ith sub-signal wave is expressed, e is a natural constant and takes a value of 2.72, and S' is the average wavelength of the sub-signal waves;
calculating the peak power of the multi-wave mixing of the optical signal according to the multi-wave mixing efficiency of the optical signal and the power of each sub-signal wave:
wherein P' is peak power of multi-wave mixing of optical signals, j is jth sub-signal wave, and P j Expressed as the power of the jth sub-signal wave, alpha expressed as a nonlinear coefficient, ln expressed as a natural logarithm, and d expressed as a preset multi-wave mixing degeneracy factor;
setting a conversion parameter of a photoelectric element in the sensor based on a photoelectric effect according to the peak power of the multi-wave mixing of the optical signal;
and controlling the sensor based on the photoelectric effect to convert the optical signal into an electric signal according to the set conversion parameters and outputting the electric signal.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116189896A (en) * | 2023-04-24 | 2023-05-30 | 北京快舒尔医疗技术有限公司 | Cloud-based diabetes health data early warning method and system |
| CN116628821A (en) * | 2023-06-28 | 2023-08-22 | 盛年科技有限公司 | Reverse design method of broadband vibration isolation support based on database |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116189896A (en) * | 2023-04-24 | 2023-05-30 | 北京快舒尔医疗技术有限公司 | Cloud-based diabetes health data early warning method and system |
| CN116189896B (en) * | 2023-04-24 | 2023-08-08 | 北京快舒尔医疗技术有限公司 | Cloud-based diabetes health data early warning method and system |
| CN116628821A (en) * | 2023-06-28 | 2023-08-22 | 盛年科技有限公司 | Reverse design method of broadband vibration isolation support based on database |
| CN116628821B (en) * | 2023-06-28 | 2024-04-02 | 盛年科技有限公司 | Reverse design method of broadband vibration isolation support based on database |
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