CN111166310B - PPG pulse wave human body identification method, circuit and intelligent wearable device - Google Patents
PPG pulse wave human body identification method, circuit and intelligent wearable device Download PDFInfo
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- CN111166310B CN111166310B CN201811347530.8A CN201811347530A CN111166310B CN 111166310 B CN111166310 B CN 111166310B CN 201811347530 A CN201811347530 A CN 201811347530A CN 111166310 B CN111166310 B CN 111166310B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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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: performing high-fidelity amplification on pulse filtering acquired by an photoelectric pulse wave sensor; sampling the pulse wave filtering; 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 wave filtering exceeds a threshold value or the amplitude of the main wave of the pulse wave filtering is too small to be sampled, the 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 or not; when the frequency is in a preset frequency interval, judging whether the time of the wave crest of the main wave in a pulse wave filtering period is in a preset time period or not. The method can accurately judge whether the acquired pulse filtering is of a human body or not so as to ensure that vital sign data such as heart rate and blood pressure of the human body obtained by the intelligent wearing product are accurate and reliable.
Description
Technical Field
The application belongs to the technical field of intelligent wearing equipment, and particularly relates to a pulse wave human body identification method and circuit for PPG (Photo Plethysmo Graphy ) and intelligent wearing equipment.
Background
With the advent of the intelligent wearing industry, more and more intelligent devices related to human bodies are available, and through various behavior modes, health indexes and happiness and fun of the sensor people, the intelligent health wrist-watch, watch and earphone can be captured, analyzed and utilized by the intelligent wearing device, so that new dawn is brought to an electronic ring when an electronic market is low, people can more know about the aged, remote medical treatment, cloud health, big data and the like in the future.
Under the prior art condition, the intelligent wearable device can not determine whether the intelligent wearable device is provided by a human body when detecting the human body related data, so that the detected data becomes very unreliable.
Disclosure of Invention
Aiming at the technical problems related to the background technology, the application provides a pulse wave human body identification method, a circuit and intelligent wearing equipment for PPG (Photo Plethysmo Graphy ).
In order to solve the above technical problems, an embodiment of the present application provides a method for identifying a human body by PPG (Photo Plethysmo Graphy ) pulse wave. The PPG pulse wave human body identification method comprises the following steps: performing high-fidelity amplification on pulse filtering acquired by an photoelectric pulse wave sensor; sampling the pulse wave filtering; calculating the average amplitude of the pulse filtering, and adjusting the luminous intensity of the LED according to the average amplitude, so that the luminous intensity is adapted to the skin color and the blood flow intensity of the current human body; when the amplitude of the main wave of the pulse wave filtering exceeds a threshold value or the amplitude of the main wave of the pulse wave filtering is too small to sample, the gain is carried out through an amplifying gain circuit so as to obtain ideal pulse wave filtering reflecting the pulse characteristics; calculating the frequency of the pulse filtering, and judging whether the frequency is in a preset frequency interval or not; 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 crest of the main wave in a pulse filtering period is in a preset time period or not; when the time of the wave crest of the main wave 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; when the time of the wave crest of the main wave in one pulse filtering period is in a preset time period, judging that the acquired pulse filtering is of a human body; and/or judging whether the pulse wave peak of the pulse wave filtering is sampled when the frequency is in a preset frequency interval; when the counterpulsation peak of the pulse filtering is not sampled, judging that the acquired pulse filtering is not the pulse filtering of the human body; judging whether the time of the occurrence of the counterpulsation peak in one pulse filtering period is in a preset time period or not when the counterpulsation peak of the pulse filtering is sampled; when the time of the occurrence of the counterpulsation peak 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 of the occurrence of the counterpulsation peak in one pulse filtering period is in 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 problems, the embodiment of the present application further provides a PPG (Photo Plethysmo Graphy ) pulse wave human body recognition circuit for implementing the PPG pulse wave human body recognition method. The PPG pulse wave human body identification circuit comprises: the LED light-emitting device comprises a pulse wave acquisition circuit, an amplifying gain circuit, an LED luminous intensity adjusting circuit, an analysis circuit, an interface circuit and a power supply circuit; the pulse wave acquisition circuit is connected with the amplifying gain circuit, the LED luminous intensity adjusting circuit and the power supply circuit in a circuit mode; the amplifying 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 amplifying 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 adapted to the current skin color and blood flow intensity of a human body; the analysis circuit is used for analyzing the pulse wave filtering to judge whether the pulse wave filtering is of a human body or not; the interface circuit is used for providing a communication interface so as to realize communication with the intelligent wearable device; 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 application, the analytical circuit comprises 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 application, the amplification gain circuit includes an SGM48780 analog multiplexing switch.
In order to solve the technical problems, the embodiment of the application also provides intelligent wearing equipment which is used for acquiring heart rate and blood pressure of a human body through pulse waves of the human body. The intelligent wearable device comprises any one of the PPG (Photo Plethysmo Graphy ) pulse wave human body identification circuits.
Compared with the prior art, the application has the following main beneficial effects:
in an embodiment of the present application, the PPG pulse wave human body recognition method determines whether the frequency of the pulse filtering is in a preset frequency interval. And when the frequency is not in the preset frequency interval, judging that the acquired pulse filtering is not the pulse filtering of the human body. And judging whether the pulse wave crest of the pulse wave filtering is sampled when the frequency is in a preset frequency interval. And when the time of the wave crest of the main wave 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 of the wave crest of the main wave in one 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 counterpulsation peak of the pulse filtering is sampled when the frequency is in a preset frequency interval. And when the counterpulsation peak of the pulse filtering is not sampled, judging that the acquired pulse filtering is not the pulse filtering of the human body. And when the pulse filtering counterpulsation peak is sampled, judging whether the time of the counterpulsation peak in one pulse filtering period is in a preset time period or not. And when the time of the occurrence of the counterpulsation peak 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 of the occurrence of the counterpulsation peak in one pulse filtering period is in 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 wave is of a human body or not so as to ensure that vital sign data such as heart rate and blood pressure of the human body obtained by intelligent wearing products are accurate and reliable, and is a guarantee of accurate and reliable future remote medical treatment, big data and cloud health data sources.
Drawings
In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for the description of the embodiments, it being apparent that the drawings in the following description are some embodiments of the present application and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a PPG pulse wave human body recognition method according to an embodiment of the application；
Fig. 2 is a schematic diagram of another PPG pulse wave human body recognition method according to an embodiment of the application；
FIG. 3 is a schematic diagram showing pulse filtering during a period T according to an embodiment of the present application；
Fig. 4 is a schematic diagram of a PPG pulse wave human body recognition circuit according to an embodiment of the present application;
fig. 5 is a schematic diagram of the pulse wave acquisition circuit 10 and the LED luminous intensity adjustment circuit 30 according to an embodiment of the present application;
FIG. 6 is a schematic diagram of the amplifying gain circuit 20 according to an embodiment of the application;
FIG. 7 is a schematic diagram of the analysis circuit 40 according to an embodiment of the application;
FIG. 8 is a schematic diagram of the interface circuit 50 according to an embodiment of the application;
FIG. 9 is a schematic diagram of a portion of the power circuit 60 according to an embodiment of the application;
FIG. 10 is a schematic diagram of another portion of the power circuit 60 according to an embodiment of the 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 applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases 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. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
With the advent of the intelligent wearing industry, more and more intelligent devices related to human bodies are available, and through various behavior modes, health indexes and happiness and fun of the sensor people, the intelligent health wrist-watch, watch and earphone can be captured, analyzed and utilized by the intelligent wearing device, so that new dawn is brought to an electronic ring when an electronic market is low, people can more know about the aged, remote medical treatment, cloud health, big data and the like in the future. Under the prior art condition, the intelligent wearable device can not determine whether the intelligent wearable device is provided by a human body when detecting the human body related data, so that the detected data becomes very unreliable.
The embodiment of the application provides a PPG (Photo Plethysmo Graphy ) pulse wave human body identification method.
Fig. 1 is a schematic diagram of a PPG pulse wave human body recognition method according to an embodiment of the application.
As illustrated in fig. 1, the PPG pulse wave human body recognition method includes:
s1: and performing high-fidelity amplification on pulse filtering acquired by the photoelectric pulse wave sensor.
S2: sampling the pulse wave filtering.
S3: and calculating the average amplitude of the pulse filtering, and adjusting the luminous intensity of the LED according to the average amplitude, so that the luminous intensity is adapted to the current skin color and blood flow intensity of the human body.
S4: when the amplitude of the main wave of the pulse wave filtering exceeds a threshold value or the amplitude of the main wave of the pulse wave filtering is too small to be sampled, the gain is carried out through the amplifying gain circuit, so that ideal pulse wave filtering reflecting the pulse characteristics is obtained.
S5: and calculating the frequency of the pulse filtering, and judging whether the frequency is in a preset frequency interval.
S6a: and when the frequency is not in the preset frequency interval, judging that the acquired pulse filtering is not the pulse filtering of the human body.
S6b: when the frequency is in a preset frequency interval, judging whether the time of the wave crest of the main wave in a pulse wave filtering period is in a preset time period or not.
It should be noted that S6a and S6b are not sequentially executed.
S7a: and when the time of the wave crest of the main wave 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.
S7b: and when the time of the wave crest of the main wave in one 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 sequentially executed.
The embodiment of the application also provides a PPG (Photo Plethysmo Graphy ) pulse wave human body identification method.
Fig. 2 is a schematic diagram of another PPG pulse wave human body recognition method according to an embodiment of the application.
As illustrated in fig. 2, the PPG pulse wave human body recognition method includes:
s1: and performing high-fidelity amplification on pulse filtering acquired by the photoelectric pulse wave sensor.
S2: sampling the pulse wave filtering.
S3: and calculating the average amplitude of the pulse filtering, and adjusting the luminous intensity of the LED according to the average amplitude, so that the luminous intensity is adapted to the current skin color and blood flow intensity of the human body.
S4: when the amplitude of the main wave of the pulse wave filtering exceeds a threshold value or the amplitude of the main wave of the pulse wave filtering is too small to be sampled, the gain is carried out through the amplifying gain circuit, so that ideal pulse wave filtering reflecting the pulse characteristics is obtained.
S5: and calculating the frequency of the pulse filtering, and judging whether the frequency is in a preset frequency interval.
S6a: and when the frequency is not in the preset frequency interval, judging that the acquired pulse filtering is not the pulse filtering of the human body.
S6c: and judging whether the pulse wave crest of the pulse wave filtering is sampled when the frequency is in a preset frequency interval.
It should be noted that S6a and S6c are not sequentially executed.
S7c: and when the counterpulsation peak of the pulse filtering is not sampled, judging that the acquired pulse filtering is not the pulse filtering of the human body.
S7d: and when the pulse filtering counterpulsation peak is sampled, judging whether the time of the counterpulsation peak in one pulse filtering period is in a preset time period or not.
It should be noted that S7c and S7d are not sequentially separated during execution.
S8a: and when the time of the occurrence of the counterpulsation peak 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.
S8b: and when the time of the occurrence of the counterpulsation peak in one 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 S8a and S8b are not sequentially executed.
The PPG pulse wave human body recognition method in the present application will be described with reference to fig. 3.
Referring to fig. 3, a pulse filtering diagram of a period T according to an embodiment of the application is shown.
As illustrated in fig. 3, the frequency of the pulse filtering is calculated in conjunction with the period T, and when the frequency of the pulse filtering reaches 210 times of 30 times per minute, the frequency is in a preset frequency interval, so that the acquired pulse filtering is the pulse filtering of the human body.
As illustrated in fig. 3, the peak of the main wave occurs in one pulse filtering period at a time T1, and when T1 is about T/4, the peak of the main wave occurs in one pulse filtering period at a preset time period.
As illustrated in fig. 3, the time at which the counterpulsation peak occurs in one pulse filtering cycle is T2, and when T2 is around T/2, the time at which the counterpulsation peak occurs in one pulse filtering cycle is within a preset period of time.
In an embodiment of the application, S6b and S6c are performed in an alternative manner as illustrated in fig. 1 and 2. In other embodiments of the present application, S6b and S6c may be executed in parallel, or may be executed in a certain order.
In an embodiment of the present application, the PPG pulse wave human body recognition method determines whether the frequency of the pulse filtering is in a preset frequency interval. And when the frequency is not in the preset frequency interval, judging that the acquired pulse filtering is not the pulse filtering of the human body. And judging whether the pulse wave crest of the pulse wave filtering is sampled when the frequency is in a preset frequency interval. And when the time of the wave crest of the main wave 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 of the wave crest of the main wave in one 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 counterpulsation peak of the pulse filtering is sampled when the frequency is in a preset frequency interval. And when the counterpulsation peak of the pulse filtering is not sampled, judging that the acquired pulse filtering is not the pulse filtering of the human body. And when the pulse filtering counterpulsation peak is sampled, judging whether the time of the counterpulsation peak in one pulse filtering period is in a preset time period or not. And when the time of the occurrence of the counterpulsation peak 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 of the occurrence of the counterpulsation peak in one pulse filtering period is in 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 wave is of a human body or not, so that the accuracy and reliability of acquiring vital signs such as heart rate and blood pressure of the human body by intelligent wearing products are ensured, and the accuracy and reliability of future remote medical treatment, big data and cloud health data sources are ensured.
The embodiment of the application provides a PPG pulse wave human body identification circuit which is used for realizing any PPG pulse wave human body identification method.
Referring to fig. 4, a schematic diagram of a PPG pulse wave human body recognition circuit according to an embodiment of the application is shown.
As illustrated in fig. 4, the PPG pulse wave human body recognition circuit includes: the pulse wave acquisition circuit 10, the amplification gain circuit 20, the LED luminous intensity adjusting circuit 30, the analysis circuit 40, the interface circuit 50 and the power supply circuit 60.
Wherein the pulse wave acquisition circuit 10 is electrically connected to the amplification gain circuit 20, the LED light emission intensity adjustment circuit 30, and the power supply circuit 60. The amplifying gain circuit 20 is also electrically connected to the analyzing circuit 40 and the power supply circuit 60. The LED luminous intensity adjusting circuit 30 is also electrically connected to the analyzing circuit 40 and the power supply 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 acquisition circuit 10 is used for acquiring pulse waves of a human body.
The amplifying gain circuit 20 is used for amplifying the acquired pulse wave to obtain an ideal pulse wave filter reflecting the pulse wave characteristics.
The LED luminous intensity adjusting circuit 30 is used for adjusting the luminous intensity of the LEDs so that the luminous intensity is suitable for the current skin color and blood flow intensity of the human body.
The analysis circuit 40 is configured to analyze the pulse wave filtering to determine whether the pulse wave filtering is a pulse wave filtering of a human body.
The interface circuit 50 is configured to provide a communication interface to enable communication with the smart wearable device.
The power supply circuit 60 is used for providing stable power supply to the pulse wave acquisition circuit 10, the amplification gain circuit 20, the LED luminous intensity adjusting circuit 30 and the analysis circuit 40.
The analysis circuit 40 comprises a BP1708-QFN28 chip; an algorithm for realizing the PPG pulse wave human body identification method is burnt in the BP1708-QFN28 chip.
The amplification gain circuit 20 includes an SGM48780 analog multiplexing switch.
Referring to fig. 5, a schematic diagram of the pulse wave acquisition circuit 10 and the LED luminous intensity adjustment circuit 30 according to an embodiment of the application is shown. 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 amplifying gain circuit 20 according to an embodiment of the application is shown. In some embodiments of the application, the amplification gain circuit 20 is as shown in fig. 6.
Referring to fig. 7, a schematic diagram of the analysis circuit 40 according to an embodiment of the application is shown. In some embodiments of the application, the analysis circuit 40 is as shown in fig. 7.
Referring to fig. 8, a schematic diagram of the interface circuit 50 according to an embodiment of the application is shown. In some embodiments of the 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 according to an embodiment of the application, and fig. 10 is a schematic diagram of another portion of the power circuit 60 according to an embodiment of the application. In some embodiments of the application, the power circuit 60 is as shown in fig. 9 and 10.
An intelligent wearable device is used for acquiring heart rate and blood pressure of a human body through pulse waves of the human body. The intelligent wearable device comprises any one of the PPG pulse wave human body identification circuits.
When the aspects of the embodiments described above are implemented in software, the computer instructions and/or data implementing the embodiments described above may be stored in a computer-readable medium or transmitted as one or more instructions or code on the 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 medium may be any available medium that can be stored by a computer. Take this as an example but not limited to: the computer-readable medium may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing the desired program code in the form of instructions or data structures and capable of being accessed by a computer. Furthermore, 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 apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.
Claims (5)
1. A PPG pulse wave human body recognition method, comprising:
performing high-fidelity amplification on pulse filtering acquired by an photoelectric pulse wave sensor;
sampling the pulse wave filtering;
calculating the average amplitude of the pulse filtering, and adjusting the luminous intensity of the LED according to the average amplitude, so that the luminous intensity is adapted to the skin color and the blood flow intensity of the current human body;
when the amplitude of the main wave of the pulse wave filtering exceeds a threshold value or the amplitude of the main wave of the pulse wave filtering is too small to sample, the gain is carried out through an amplifying gain circuit so as to obtain ideal pulse wave filtering reflecting the pulse characteristics;
calculating the frequency of the pulse filtering, and judging whether the frequency is in a preset frequency interval or not;
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 crest of the main wave in a pulse wave filtering period T is in a preset time period T/4 or not;
when the time of the wave crest of the main wave 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;
when the time of the wave crest of the main wave in one pulse filtering period is in a preset time period, judging that the acquired pulse filtering is of a human body;
and/or judging whether the pulse wave peak of the pulse wave filtering is sampled when the frequency is in a preset frequency interval;
when the counterpulsation peak of the pulse filtering is not sampled, judging that the acquired pulse filtering is not the pulse filtering of the human body;
judging whether the time of the occurrence of the dicrotic wave crest in one pulse filtering period T is in a preset time period T/2 or not when the dicrotic wave crest of the pulse filtering is sampled;
when the time of the occurrence of the counterpulsation peak 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 of the occurrence of the counterpulsation peak in one pulse filtering period is in 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 recognition circuit for implementing the PPG pulse wave human body recognition method of claim 1, comprising: a pulse wave acquisition circuit (10), an amplifying 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 amplifying gain circuit (20), the LED luminous intensity adjusting circuit (30) and the power supply circuit (60) in a circuit mode; the amplifying 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 electrically connected to the power supply circuit (60);
the pulse wave acquisition circuit (10) is used for acquiring pulse waves of a human body;
the amplifying gain circuit (20) is used for amplifying and gaining the acquired pulse wave filtering so as to obtain ideal pulse wave filtering reflecting pulse characteristics;
the LED luminous intensity adjusting circuit (30) is used for adjusting the luminous intensity of the LEDs so that the luminous intensity is matched with the skin color and the blood flow intensity of the current human body;
the analysis circuit (40) is used for analyzing the pulse wave filtering to judge whether the pulse wave filtering is of a human body;
the interface circuit (50) is used for providing a communication interface to realize communication with the intelligent wearable device;
the power supply circuit (60) is used for providing stable power supply for the pulse wave acquisition circuit (10), the amplifying gain circuit (20), the LED luminous intensity adjusting circuit (30) and the analysis circuit (40).
3. The PPG pulse wave human body recognition circuit according to claim 2, wherein said analysis circuit (40) comprises a BP1708-QFN28 chip; an algorithm for realizing the PPG pulse wave human body identification method of claim 1 is burnt in the BP1708-QFN28 chip.
4. The PPG pulse wave human body recognition circuit according to claim 2, wherein the amplification gain circuit (20) comprises an SGM48780 analog multiplexing switch.
5. An intelligent wearable device for acquiring heart rate and blood pressure of a human body through pulse waves of the human body, comprising the PPG pulse wave human body identification circuit as claimed in any one of claims 2 to 4.
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| Publication number | Priority date | Publication date | Assignee | Title |
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