CN111166310A - PPG pulse wave human body identification method and circuit and intelligent wearable device - Google Patents
PPG pulse wave human body identification method and circuit and intelligent wearable device Download PDFInfo
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- CN111166310A CN111166310A CN201811347530.8A CN201811347530A CN111166310A CN 111166310 A CN111166310 A CN 111166310A CN 201811347530 A CN201811347530 A CN 201811347530A CN 111166310 A CN111166310 A CN 111166310A
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
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Abstract
The application discloses a PPG pulse wave human body identification method, a circuit and intelligent wearable equipment. The method comprises the following steps: filtering the pulse wave collected by the photoelectric pulse wave sensor to perform high-fidelity amplification; sampling the pulse filter; calculating the average amplitude of the pulse filtering, and adjusting the luminous intensity of the LED according to the average amplitude; when the amplitude of the main wave of the pulse filtering exceeds a threshold value or the amplitude of the main wave of the pulse filtering is too small to sample, gain is carried out through an amplifying gain circuit; calculating the frequency of the pulse filtering, and judging whether the frequency is in a preset frequency interval; and when the frequency is in a preset frequency interval, judging whether the time of the wave peak of the main wave appearing in one pulse filtering period is in a preset time period. The method can accurately judge whether the acquired pulse filtering is human pulse filtering or not so as to ensure that vital sign data such as human heart rate, blood pressure and the like acquired by the intelligent wearable product are accurate and reliable.
Description
Technical Field
The application belongs to the technical field of intelligent wearable equipment, and particularly relates to a PPG (photoplethysmography) pulse wave human body identification method, circuit and intelligent wearable equipment.
Background
Along with the rise of the intelligent wearing industry, more and more intelligent devices related to human bodies come out, behavior modes, health indexes and happiness, anger, sadness and sadness of people can be captured, analyzed and utilized by the intelligent wearing devices through various sensors, so that the intelligent health wristband, the watch and the earphone bring new dawn for an electronic circle when the electronic market is low, and people can more longize future wisdom endowment, telemedicine, cloud health, big data and the like.
Under the condition of the prior art, when the intelligent wearable device detects the relevant data of the human body, the detected data becomes very unreliable because whether the data is provided by the human body cannot be determined.
Disclosure of Invention
Aiming at the technical problems related in the background technology, the application provides a PPG (photoplethysmography) pulse wave human body identification method, a circuit and intelligent wearable equipment.
In order to solve the above technical problem, an embodiment of the present application provides a PPG (photoplethysmography) pulse wave human body identification method. The PPG pulse wave human body identification method comprises the following steps: filtering the pulse wave collected by the photoelectric pulse wave sensor to perform high-fidelity amplification; sampling the pulse filter; calculating the average amplitude of the pulse filtering, and adjusting the luminous intensity of an LED according to the average amplitude to enable the luminous intensity to be adaptive to the skin color and the blood flow intensity of the current human body; when the amplitude of the main wave of the pulse filtering exceeds a threshold value or the amplitude of the main wave of the pulse filtering is too small to sample, gain is carried out through an amplifying gain circuit so as to obtain ideal pulse filtering reflecting pulse characteristics; calculating the frequency of the pulse filtering, and judging whether the frequency is in a preset frequency interval; when the frequency is not in a preset frequency interval, judging that the acquired pulse filtering is not the pulse filtering of the human body; when the frequency is in a preset frequency interval, judging whether the time of the wave peak of the main wave appearing in one pulse filtering cycle is in a preset time period; when the time when the peak of the main wave appears in a pulse filtering period is not in a preset time period, judging that the acquired pulse filtering is not the pulse filtering of the human body; when the time when the peak of the main wave appears in a pulse filtering period is in a preset time period, judging that the acquired pulse filtering is the pulse filtering of the human body; and/or judging whether a dicrotic wave peak of the pulse filtering is sampled or not when the frequency is in a preset frequency interval; when the dicrotic wave crest of the pulse filtering is not sampled, judging that the acquired pulse filtering is not the pulse filtering of the human body; when a dicrotic wave peak of the pulse filtering is sampled, judging whether the time of the dicrotic wave peak appearing in one pulse filtering cycle is in a preset time period or not; when the time of the dicrotic wave peak appearing in one pulse filtering cycle is not in a preset time period, judging that the acquired pulse filtering is not the pulse filtering of the human body; and when the time of the occurrence of the dicrotic wave peak in a pulse filtering cycle is within a preset time period, judging that the acquired pulse filtering is the pulse filtering of the human body.
In order to solve the above technical problem, an embodiment of the present application further provides a PPG (Photo pulse waveform) pulse wave human body identification circuit, which is used for implementing the PPG pulse wave human body identification method. The PPG pulse wave human body identification circuit comprises: the pulse wave acquisition circuit, the amplification gain circuit, the LED luminous intensity adjusting circuit, the analysis circuit, the interface circuit and the power circuit; the pulse wave acquisition circuit is connected with the amplification gain circuit, the LED luminous intensity adjusting circuit and the power circuit in a circuit mode; the amplification gain circuit is also connected with the analysis circuit and the power supply circuit in a circuit mode; the LED luminous intensity adjusting circuit is also connected with the analysis circuit and the power supply circuit in a circuit mode; the analysis circuit is also connected with the interface circuit and the power supply circuit in a circuit mode; the interface circuit is also connected with the power supply circuit in a circuit mode; the pulse wave acquisition circuit is used for acquiring pulse waves of a human body; the amplification gain circuit is used for amplifying and gaining the acquired pulse filtering so as to obtain ideal pulse filtering reflecting pulse characteristics; the LED luminous intensity adjusting circuit is used for adjusting the luminous intensity of the LED, so that the luminous intensity is adaptive to the skin color and the blood flow intensity of the current human body; the analysis circuit is used for analyzing the pulse filtering to judge whether the pulse filtering is the pulse filtering of the human body; the interface circuit is used for providing a communication interface so as to realize communication with the intelligent wearable equipment; the power supply circuit is used for providing stable power supply for the pulse wave acquisition circuit, the amplification gain circuit, the LED luminous intensity adjusting circuit and the analysis circuit.
In some embodiments of the present application, the analysis circuit includes a BP1708-QFN28 chip; an algorithm for realizing the PPG pulse wave human body identification method is burnt in the BP1708-QFN28 chip.
In some embodiments of the present application, the amplification gain circuit comprises an SGM48780 analog multiplexing switch.
In order to solve the technical problem, an embodiment of the present application further provides an intelligent wearable device, which is used for acquiring the heart rate and the blood pressure of a human body through the pulse wave of the human body. The intelligent wearable device comprises any one of the PPG (photoplethysmography) pulse wave human body identification circuits.
Compared with the prior art, the application mainly has the following beneficial effects:
in an embodiment of the application, the PPG pulse human body identification method determines whether the frequency of the pulse filtering is within a preset frequency interval. And when the frequency is not in a preset frequency interval, judging that the acquired pulse wave filtering is not the pulse wave filtering of the human body. And when the frequency is in a preset frequency interval, judging whether a dicrotic wave peak of the pulse filtering is sampled. And when the time when the peak of the main wave appears in one pulse filtering period is not in a preset time period, judging that the acquired pulse filtering is not the pulse filtering of the human body. And when the time when the peak of the main wave appears in a pulse filtering period is in a preset time period, judging that the acquired pulse filtering is the pulse filtering of the human body. The PPG pulse wave human body identification method further comprises the step of judging whether a dicrotic wave peak of the pulse wave filtering is sampled or not when the frequency is in a preset frequency interval. And when the dicrotic wave crest of the pulse filter is not sampled, judging that the acquired pulse filter is not the pulse filter of the human body. And when a dicrotic wave peak of the pulse filtering is sampled, judging whether the time of the dicrotic wave peak appearing in one pulse filtering period is in a preset time period. And when the time of the dicrotic wave peak appearing in one pulse filtering cycle is not in a preset time period, judging that the acquired pulse filtering is not the pulse filtering of the human body. And when the time of the occurrence of the dicrotic wave peak in a pulse filtering cycle is within a preset time period, judging that the acquired pulse filtering is the pulse filtering of the human body. Therefore, the PPG pulse wave human body identification method can accurately judge whether the acquired pulse filtering is the pulse filtering of a human body or not, so that the accuracy and reliability of vital sign data such as the heart rate and the blood pressure of the human body acquired by the intelligent wearable product are ensured, and the accuracy and reliability of sources of remote medical treatment, big data and cloud health data in the future are ensured.
Drawings
In order to illustrate the solution of the present application more clearly, the drawings that are needed in the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.
Fig. 1 is a schematic diagram of a PPG pulse wave human body identification method according to an embodiment of the present application;
fig. 2 is a schematic diagram of another PPG pulse wave human body identification method according to an embodiment of the present application;
FIG. 3 is a diagram illustrating pulse filtering within one period T according to an embodiment of the present application;
fig. 4 is a schematic diagram of a PPG pulse wave human body identification circuit according to an embodiment of the present application;
fig. 5 is a schematic diagram of the pulse wave collecting circuit 10 and the LED light intensity adjusting circuit 30 according to an embodiment of the present application;
fig. 6 is a schematic diagram of the amplifier gain circuit 20 according to an embodiment of the present application;
FIG. 7 is a schematic diagram of the analysis circuit 40 according to an embodiment of the present application;
FIG. 8 is a schematic diagram of the interface circuit 50 according to an embodiment of the present application;
FIG. 9 is a schematic diagram of a portion of the power circuit 60 in an embodiment of the present application;
fig. 10 is a schematic diagram of another portion of the power circuit 60 according to an embodiment of the present application.
Reference numerals:
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Along with the rise of the intelligent wearing industry, more and more intelligent devices related to human bodies come out, behavior modes, health indexes and happiness, anger, sadness and sadness of people can be captured, analyzed and utilized by the intelligent wearing devices through various sensors, so that the intelligent health wristband, the watch and the earphone bring new dawn for an electronic circle when the electronic market is low, and people can more longize future wisdom endowment, telemedicine, cloud health, big data and the like. Under the condition of the prior art, when the intelligent wearable device detects the relevant data of the human body, the detected data becomes very unreliable because whether the data is provided by the human body cannot be determined.
The embodiment of the application provides a PPG (Photo pulse graphic) pulse wave human body identification method.
Please refer to fig. 1, which is a schematic diagram of the PPG pulse wave human body identification method according to an embodiment of the present application.
As illustrated in fig. 1, the PPG pulse wave human body identification method includes:
s1: and performing high-fidelity amplification on the pulse wave collected by the photoelectric pulse wave sensor.
S2: the pulse filtering is sampled.
S3: and calculating the average amplitude of the pulse filtering, and adjusting the luminous intensity of an LED according to the average amplitude so that the luminous intensity is adaptive to the skin color and the blood flow intensity of the current human body.
S4: and when the amplitude of the main wave of the pulse filtering exceeds a threshold value or the amplitude of the main wave of the pulse filtering is too small to sample, gain is carried out through an amplifying gain circuit so as to obtain ideal pulse filtering reflecting pulse characteristics.
S5: and calculating the frequency of the pulse filtering, and judging whether the frequency is in a preset frequency interval.
S6 a: and when the frequency is not in a preset frequency interval, judging that the acquired pulse wave filtering is not the pulse wave filtering of the human body.
S6 b: and when the frequency is in a preset frequency interval, judging whether the time of the wave peak of the main wave appearing in one pulse filtering period is in a preset time period.
It should be noted that S6a and S6b are not described in detail in the following.
S7 a: and when the time when the peak of the main wave appears in one pulse filtering period is not in a preset time period, judging that the acquired pulse filtering is not the pulse filtering of the human body.
S7 b: and when the time when the peak of the main wave appears in a pulse filtering period is in a preset time period, judging that the acquired pulse filtering is the pulse filtering of the human body.
It should be noted that S7a and S7b are not described in detail in the following.
The embodiment of the application also provides a PPG (Photo pulse graphic, photoplethysmography) pulse wave human body identification method.
Please refer to fig. 2, which is a schematic diagram of another PPG pulse wave human body identification method according to an embodiment of the present application.
As illustrated in fig. 2, the PPG pulse wave human body identification method includes:
s1: and performing high-fidelity amplification on the pulse wave collected by the photoelectric pulse wave sensor.
S2: the pulse filtering is sampled.
S3: and calculating the average amplitude of the pulse filtering, and adjusting the luminous intensity of an LED according to the average amplitude so that the luminous intensity is adaptive to the skin color and the blood flow intensity of the current human body.
S4: and when the amplitude of the main wave of the pulse filtering exceeds a threshold value or the amplitude of the main wave of the pulse filtering is too small to sample, gain is carried out through an amplifying gain circuit so as to obtain ideal pulse filtering reflecting pulse characteristics.
S5: and calculating the frequency of the pulse filtering, and judging whether the frequency is in a preset frequency interval.
S6 a: and when the frequency is not in a preset frequency interval, judging that the acquired pulse wave filtering is not the pulse wave filtering of the human body.
S6 c: and when the frequency is in a preset frequency interval, judging whether a dicrotic wave peak of the pulse filtering is sampled.
It should be noted that S6a and S6c are not described in detail in the following.
S7 c: and when the dicrotic wave crest of the pulse filter is not sampled, judging that the acquired pulse filter is not the pulse filter of the human body.
S7 d: and when a dicrotic wave peak of the pulse filtering is sampled, judging whether the time of the dicrotic wave peak appearing in one pulse filtering period is in a preset time period.
It should be noted that S7c and S7d are not described in detail in the following.
S8 a: and when the time of the dicrotic wave peak appearing in one pulse filtering cycle is not in a preset time period, judging that the acquired pulse filtering is not the pulse filtering of the human body.
S8 b: and when the time of the occurrence of the dicrotic wave peak in a pulse filtering cycle is within a preset time period, judging that the acquired pulse filtering is the pulse filtering of the human body.
It should be noted that S8a and S8b are not described in detail below.
The PPG pulse human body identification method in the present application will be explained with reference to fig. 3.
Referring to fig. 3, a schematic diagram of pulse filtering within one period T according to an embodiment of the present application is shown.
As illustrated in fig. 3, the frequency of the pulse filtering is calculated in combination with the period T, and when the frequency of the pulse filtering reaches 210 times per minute 30 times, the frequency is in a preset frequency interval, so that the collected pulse filtering is the pulse filtering of the human body.
As illustrated in fig. 3, the time at which the peak of the main wave appears in one pulse filtering cycle is T1, and when T1 is around T/4, the time at which the peak of the main wave appears in one pulse filtering cycle is at a preset time period.
As illustrated in fig. 3, the occurrence time of the dicrotic peak in one pulse filtering cycle is T2, and is at a preset time period when T2 is around T/2.
In the embodiment of the present application, as illustrated in fig. 1 and 2, S6b and S6c are performed in an alternative manner. In other embodiments of the present application, S6b and S6c may be executed in parallel, or in a certain order.
In an embodiment of the application, the PPG pulse human body identification method determines whether the frequency of the pulse filtering is within a preset frequency interval. And when the frequency is not in a preset frequency interval, judging that the acquired pulse wave filtering is not the pulse wave filtering of the human body. And when the frequency is in a preset frequency interval, judging whether a dicrotic wave peak of the pulse filtering is sampled. And when the time when the peak of the main wave appears in one pulse filtering period is not in a preset time period, judging that the acquired pulse filtering is not the pulse filtering of the human body. And when the time when the peak of the main wave appears in a pulse filtering period is in a preset time period, judging that the acquired pulse filtering is the pulse filtering of the human body. The PPG pulse wave human body identification method further comprises the step of judging whether a dicrotic wave peak of the pulse wave filtering is sampled or not when the frequency is in a preset frequency interval. And when the dicrotic wave crest of the pulse filter is not sampled, judging that the acquired pulse filter is not the pulse filter of the human body. And when a dicrotic wave peak of the pulse filtering is sampled, judging whether the time of the dicrotic wave peak appearing in one pulse filtering period is in a preset time period. And when the time of the dicrotic wave peak appearing in one pulse filtering cycle is not in a preset time period, judging that the acquired pulse filtering is not the pulse filtering of the human body. And when the time of the occurrence of the dicrotic wave peak in a pulse filtering cycle is within a preset time period, judging that the acquired pulse filtering is the pulse filtering of the human body. Therefore, the PPG pulse wave human body identification method can accurately judge whether the acquired pulse filtering is the pulse filtering of a human body or not so as to ensure the accuracy and reliability of data of vital signs of human heart rate, blood pressure and the like acquired by an intelligent wearable product, and is the accurate and reliable guarantee of future remote medical treatment, big data and cloud health data sources.
The embodiment of the application provides a PPG pulse wave human body identification circuit, which is used for realizing any one of the PPG pulse wave human body identification methods.
Fig. 4 is a schematic diagram of a PPG pulse wave human body identification circuit according to an embodiment of the present application.
As illustrated in fig. 4, the PPG pulse wave human identification circuit comprises: the pulse wave collecting circuit 10, the amplification gain circuit 20, the LED luminous intensity adjusting circuit 30, the analyzing circuit 40, the interface circuit 50 and the power circuit 60.
The pulse wave collecting circuit 10 is electrically connected to the amplification gain circuit 20, the LED light intensity adjusting circuit 30, and the power circuit 60. The amplification gain circuit 20 is further connected to the analysis circuit 40 and the power supply circuit 60 in the form of a circuit. The LED luminous intensity adjusting circuit 30 is further electrically connected to the analyzing circuit 40 and the power circuit 60. The analysis circuit 40 is also electrically connected to the interface circuit 50 and the power supply circuit 60. The interface circuit 50 is also electrically connected to the power supply circuit 60.
The pulse wave collecting circuit 10 is used for collecting pulse waves of a human body.
The amplification gain circuit 20 is used for performing amplification gain on the acquired pulse filtering to obtain an ideal pulse filtering reflecting the pulse characteristics.
The LED light intensity adjusting circuit 30 is configured to adjust the light intensity of the LED, so that the light intensity is adapted to the skin color and blood flow intensity of the current human body.
The analysis circuit 40 is configured to analyze the pulse filtering to determine whether the pulse filtering is a human pulse filtering.
The interface circuit 50 is used to provide a communication interface to realize communication with the smart wearable device.
The power circuit 60 is used for providing stable power supply for the pulse wave collecting circuit 10, the amplifying gain circuit 20, the LED light intensity adjusting circuit 30 and the analyzing circuit 40.
The analysis circuit 40 comprises a BP1708-QFN28 chip; an algorithm for implementing the PPG pulse wave human body identification method of claim 1 is burned in the BP1708-QFN28 chip.
The amplification gain circuit 20 includes an SGM48780 analog multiplexing switch.
Fig. 5 is a schematic diagram of the pulse wave collecting circuit 10 and the LED light intensity adjusting circuit 30 according to an embodiment of the present application. In some embodiments of the present application, the pulse wave acquisition circuit 10 and the LED luminous intensity adjustment circuit 30 are as shown in fig. 5.
Referring to fig. 6, a schematic diagram of the amplifier gain circuit 20 according to an embodiment of the present application is shown. In some embodiments of the present application, the amplification gain circuit 20 is as shown in fig. 6.
Referring to fig. 7, a schematic diagram of the analysis circuit 40 in an embodiment of the present application is shown. In some embodiments of the present application, the analysis circuit 40 is as shown in fig. 7.
Referring to fig. 8, a schematic diagram of the interface circuit 50 in an embodiment of the present application is shown. In some embodiments of the present application, the interface circuit 50 is as shown in fig. 8.
Referring to fig. 9 and 10, fig. 9 is a schematic diagram of a portion of the power circuit 60 in an embodiment of the present application, and fig. 10 is a schematic diagram of another portion of the power circuit 60 in an embodiment of the present application. In some embodiments of the present application, the power supply circuit 60 is as shown in fig. 9 and 10.
An intelligent wearable device is used for acquiring the heart rate and the blood pressure of a human body through the pulse wave of the human body. The intelligent wearable device comprises any one of the PPG pulse wave human body identification circuits.
When the techniques in the various embodiments described above are implemented using software, the computer instructions and/or data to implement the various embodiments described above may be stored on a computer-readable medium or transmitted as one or more instructions or code on a readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that a computer can store. Taking this as an example but not limiting: computer-readable media can include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Further, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium.
It is to be understood that the above-described embodiments are merely illustrative of some, but not restrictive, of the broad invention, and that the appended drawings illustrate preferred embodiments of the invention and do not limit the scope of the invention. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.
Claims (5)
1. A PPG pulse wave human body identification method is characterized by comprising the following steps:
filtering the pulse wave collected by the photoelectric pulse wave sensor to perform high-fidelity amplification;
sampling the pulse filter;
calculating the average amplitude of the pulse filtering, and adjusting the luminous intensity of an LED according to the average amplitude to enable the luminous intensity to be adaptive to the skin color and the blood flow intensity of the current human body;
when the amplitude of the main wave of the pulse filtering exceeds a threshold value or the amplitude of the main wave of the pulse filtering is too small to sample, gain is carried out through an amplifying gain circuit so as to obtain ideal pulse filtering reflecting pulse characteristics;
calculating the frequency of the pulse filtering, and judging whether the frequency is in a preset frequency interval;
when the frequency is not in a preset frequency interval, judging that the acquired pulse filtering is not the pulse filtering of the human body;
when the frequency is in a preset frequency interval, judging whether the time of the wave peak of the main wave appearing in one pulse filtering cycle is in a preset time period;
when the time when the peak of the main wave appears in a pulse filtering period is not in a preset time period, judging that the acquired pulse filtering is not the pulse filtering of the human body;
when the time when the peak of the main wave appears in a pulse filtering period is in a preset time period, judging that the acquired pulse filtering is the pulse filtering of the human body;
and/or judging whether a dicrotic wave peak of the pulse filtering is sampled or not when the frequency is in a preset frequency interval;
when the dicrotic wave crest of the pulse filtering is not sampled, judging that the acquired pulse filtering is not the pulse filtering of the human body;
when a dicrotic wave peak of the pulse filtering is sampled, judging whether the time of the dicrotic wave peak appearing in one pulse filtering cycle is in a preset time period or not;
when the time of the dicrotic wave peak appearing in one pulse filtering cycle is not in a preset time period, judging that the acquired pulse filtering is not the pulse filtering of the human body;
and when the time of the occurrence of the dicrotic wave peak in a pulse filtering cycle is within a preset time period, judging that the acquired pulse filtering is the pulse filtering of the human body.
2. A PPG pulse wave human body identification circuit for realizing the PPG pulse wave human body identification method of claim 1, which comprises: the pulse wave detection circuit comprises a pulse wave acquisition circuit (10), an amplification gain circuit (20), an LED luminous intensity adjusting circuit (30), an analysis circuit (40), an interface circuit (50) and a power supply circuit (60);
wherein the pulse wave acquisition circuit (10) is connected with the amplification gain circuit (20), the LED luminous intensity adjusting circuit (30) and the power circuit (60) in a circuit form; the amplification gain circuit (20) is also connected with the analysis circuit (40) and the power supply circuit (60) in a circuit mode; the LED luminous intensity adjusting circuit (30) is also connected with the analysis circuit (40) and the power supply circuit (60) in a circuit mode; the analysis circuit (40) is also connected with the interface circuit (50) and the power supply circuit (60) in a circuit mode; the interface circuit (50) is also connected with the power supply circuit (60) in a circuit form;
the pulse wave acquisition circuit (10) is used for acquiring pulse waves of a human body;
the amplification gain circuit (20) is used for performing amplification gain on the acquired pulse filtering so as to obtain ideal pulse filtering reflecting pulse characteristics;
the LED luminous intensity adjusting circuit (30) is used for adjusting the luminous intensity of the LED, so that the luminous intensity is adaptive to the skin color and the blood flow intensity of the current human body;
the analysis circuit (40) is used for analyzing the pulse filtering to judge whether the pulse filtering is the pulse filtering of the human body;
the interface circuit (50) is used for providing a communication interface to realize communication with the intelligent wearable device;
the power circuit (60) is used for providing stable power supply for the pulse wave acquisition circuit (10), the amplification gain circuit (20), the LED luminous intensity adjusting circuit (30) and the analysis circuit (40).
3. The PPG pulse wave body recognition circuit of claim 2, wherein the analysis circuit (40) comprises a BP1708-QFN28 chip; an algorithm for implementing the PPG pulse wave human body identification method of claim 1 is burned in the BP1708-QFN28 chip.
4. The PPG pulse wave body identification circuit of claim 2, wherein the amplification gain circuit (20) comprises an SGM48780 analog multiplexing switch.
5. An intelligent wearable device for acquiring the heart rate and blood pressure of a human body through the pulse wave of the human body, which is characterized by comprising the PPG pulse wave human body identification circuit of any one of claims 2 to 4.
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| CN111166310B CN111166310B (en) | 2023-08-22 |
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