CN112603262A - Human body state identification method, system and medium - Google Patents
Human body state identification method, system and medium Download PDFInfo
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Abstract
The invention discloses a method, a system and a medium for identifying human body states, wherein the method comprises the following steps: collecting two-dimensional code information and upper arm vein development information of a testee; synchronously acquiring a korotkoff sound signal and a cuff pressure signal of a subject, and determining systolic pressure and diastolic pressure based on a korotkoff sound listening method; dividing the obtained Korotkoff sound dynamic graph into three parts, which respectively correspond to the ulnar part, the guan part and the cun part of the cun-kou of the subject; respectively carrying out short-time Fourier transform on the three-divided Korotkoff sound dynamic images to form a time-frequency joint analysis image; and classifying the time-frequency joint analysis graph by contrasting a comparison template based on a deep learning method to form pulse condition information. The invention has at least the following beneficial effects: the pulse condition acquisition and analysis can be completed in one blood pressure measurement process based on the Korotkoff acoustic diagnostic method, and compared with the existing cunkou pulse wave waveform analysis method, the pulse condition acquisition and analysis method has no requirement on the positioning of the acquisition part and is easy to implement.
Description
Technical Field
The invention relates to the technical field of medical measurement methods and medical equipment, in particular to a human body state identification method, a human body state identification system and a human body state identification medium.
Background
In the aspect of human health status identification, the abilities of inspection, hearing, inquiry and diagnosis of the four diagnostic methods in traditional Chinese medicine have been continuously verified in the history development process. In the four diagnostic methods of traditional Chinese medicine, pulse feeling is the best identification mode, and the method can provide recent state information of human bodies and forecast information of human body state development. In the past, the pulse-taking of traditional Chinese medicine is carried over in China and worldwide in a way that doctors carry them on vain, and the development of traditional Chinese medicine is severely restricted due to uneven levels. Therefore, the traditional Chinese medicine field needs to solve the objective problem of human body state identification (pulse diagnosis).
In recent years, the Chinese medicine pulse diagnosis objectification work has made a great progress, a great deal of excellent scientific research results and a small number of products come out, and the main technical scheme focuses on the aspects of pulse wave waveform acquisition and pulse wave waveform and pulse condition relation analysis. The technical scheme takes the pulse condition detection of cunkou (radial artery position on the inner side of wrist) of traditional Chinese medicine as a target, and applies certain external pressure to cun, guan and chi parts of the left hand and the right hand of a human body respectively to simulate the pulse diagnosis process of doctor of traditional Chinese medicine. Meanwhile, pulse wave waveform information of cun, guan and chi under different pressures is collected respectively, and through contrastive analysis with pulse diagnosis results of a senior doctor of traditional Chinese medicine, the traditional Chinese medicine pulse diagnosis is objective, and further the human body state identification is completed.
The method solves the problem of objectivity of pulse diagnosis in traditional Chinese medicine to a certain extent, but the technical scheme has higher requirements on the positioning accuracy of cun, guan and chi parts, has the same higher requirements on the accuracy of a sensor for detecting pulse waves, and has no standardized operation method for the pressure applied to the pulse position, so that the pulse diagnosis method needs to be further observed in the aspect of practical application.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a human body state identification method which can realize quantization, visualization and traceability of human body health state identification information.
The invention also provides a human body state identification system.
The invention also provides a computer readable storage medium for implementing the method.
According to a first aspect embodiment of the invention, a human body state identification method comprises the following steps: s100, collecting two-dimensional code information and upper arm vein development information of a subject; s200, controlling a linear inflation and deflation device to synchronously acquire a Korotkoff sound signal and a cuff pressure signal of the testee through inflation and deflation, and determining systolic pressure and diastolic pressure based on a Korotkoff sound listening method; s300, dividing the obtained Korotkoff sound dynamic graph into three parts which respectively correspond to the cun-kou, guan-kou and cun-kou of the subject; s400, short-time Fourier transform is respectively carried out on the three divided Korotkoff sound dynamic images to form a time-frequency joint analysis image; s500, classifying the time-frequency joint analysis graph by contrasting a comparison template based on a deep learning method to form pulse condition information.
According to some embodiments of the invention, step S100 comprises: s110, if the subject is measured for the first time, executing the step S120; if the subject is not the first measurement, performing step S130; s120, responding to the scanned two-dimensional code information, obtaining and storing personal basic information of the testee, collecting upper arm vein development information of the testee and associating the upper arm vein development information with the personal basic information of the testee; and S130, collecting the upper arm development information of the testee as login confirmation information.
According to some embodiments of the invention, step S300 comprises: dividing by taking the cuff pressure when the linear inflation and deflation device stops pressurizing and inflating as a starting point, taking 20mmHg as an end point and taking the systolic pressure and the diastolic pressure as dividing points respectively; wherein, the pressure peak corresponds to the size part corresponding to the systolic pressure section, the systolic pressure section corresponds to the close part corresponding to the diastolic pressure section, and the diastolic pressure section corresponds to the inch part corresponding to the 20mmHg section.
According to some embodiments of the invention, the method further comprises: establishing the comparison template before measurement, comprising the steps of: step A, recording pulse condition information of cun, guan and chi parts of a left hand and a right hand obtained by a subject through pulse diagnosis by a traditional Chinese medicine expert; and step B, executing the step S200, the step S300 and the step S400, establishing a corresponding relation between the obtained time-frequency joint analysis graphs of the left hand and the right hand and the pulse condition information obtained in the step A, and generating a comparison template.
According to some embodiments of the invention, the method further comprises: and recording auxiliary diagnosis suggestions corresponding to the pulse condition information, and outputting the corresponding auxiliary diagnosis suggestions through a display screen based on the obtained pulse condition information.
A human body state identification system according to a second aspect embodiment of the invention comprises: the signal acquisition subsystem comprises a Korotkoff tone acquisition module, a cuff pressure acquisition module, a two-dimensional code identity recognition module, a vein development identity recognition module, a pressure generation module and a main control module; the blood pressure judging module is connected with the pulse condition analyzing module; the two-dimension code identity recognition module is used for collecting the two-dimension code information of the testee; the vein imaging identity recognition module is used for collecting the vein imaging information of the upper arm of the subject; the main control module is used for controlling the linear inflation and deflation device of the pressure generation module to inflate and deflate, and controlling the korotkoff sound acquisition module and the cuff pressure acquisition module to synchronously acquire korotkoff sound signals and cuff pressure signals of the testee; the blood pressure judging module is used for determining systolic pressure and diastolic pressure based on a Korotkoff sound listening method according to the Korotkoff sound signals and the cuff pressure signals of the testee; the pulse condition analysis module is used for dividing the obtained Korotkoff sound dynamic graph into three parts which respectively correspond to the ulnar part, the guan part and the cun part of the cun-kou of the subject; respectively carrying out short-time Fourier transform on the three-divided Korotkoff sound dynamic images to form a time-frequency joint analysis image; and classifying the time-frequency joint analysis graph by contrasting a comparison template based on a deep learning method to form pulse condition information.
According to some embodiments of the invention, the pulse profile analysis module comprises a korotkoff sound dynamics map partitioning unit; the korotkoff sound dynamic graph dividing unit is used for dividing by taking the cuff pressure when the linear inflation and deflation device stops pressurizing and inflating as a starting point, taking 20mmHg as an end point and respectively taking the systolic pressure and the diastolic pressure as dividing points; wherein, the pressure peak corresponds to the size part corresponding to the systolic pressure section, the systolic pressure section corresponds to the close part corresponding to the diastolic pressure section, and the diastolic pressure section corresponds to the inch part corresponding to the 20mmHg section.
According to some embodiments of the invention, the analysis and display subsystem further comprises a comparison template creation module; the contrast template establishing module is used for recording pulse condition information of cun, guan and chi parts of the left hand and the right hand obtained by the subject through pulse diagnosis by a traditional Chinese medicine expert; and establishing a corresponding relation between the time-frequency joint analysis graph of each part of the left hand and the right hand obtained by the pulse condition analysis module and pulse condition information of cun, guan and chi parts of the left hand and the right hand obtained by the pulse diagnosis of the traditional Chinese medicine expert by hands to generate a comparison template.
According to some embodiments of the invention, the analysis and display subsystem comprises a display module; the display module is used for displaying systolic pressure, diastolic pressure, average pressure, pulse rate, pulse condition information and auxiliary diagnosis suggestions.
A computer-readable storage medium according to an embodiment of the third aspect of the invention, having stored thereon a computer program which, when executed by a processor, performs the method of any of the embodiments of the first aspect of the invention.
The embodiment of the invention at least has the following beneficial effects:
according to the embodiment of the invention, through the two-dimensional code and upper arm vein development identity recognition technology, the subject can realize one-time registration and subsequent secret-free login in the process of using the device; the pulse condition acquisition and analysis can be completed in one blood pressure measurement process based on the Korotkoff acoustic diagnostic method, and compared with the existing cunkou pulse wave waveform analysis method, the pulse condition acquisition and analysis method has no requirement on the positioning of the acquisition part and is easy to implement.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart illustrating a human body state identification method according to an embodiment of the invention.
Fig. 2 is a flowchart illustrating an identity authentication and login confirmation method according to an embodiment of the present invention.
FIG. 3 is a schematic diagram of the position of the cun, guan and chi in the Korotkoff sound dynamic diagram according to the embodiment of the present invention.
Fig. 4 is a flowchart illustrating a method for creating a comparison template according to an embodiment of the present invention.
FIG. 5 is a block diagram of a human body status recognition system according to an embodiment of the present invention.
Fig. 6 is a block diagram of a signal acquisition subsystem according to an embodiment of the present invention.
FIG. 7 is a block schematic diagram of the analysis and display subsystem of an embodiment of the present invention.
FIG. 8 is a block diagram of a pulse analysis module according to an embodiment of the invention.
FIG. 9 is a block diagram of a human body status recognition system according to another embodiment of the present invention.
FIG. 10 is a display layout diagram of the human body status identifier according to the embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and more than, less than, more than, etc. are understood as excluding the present number, and more than, less than, etc. are understood as including the present number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
The invention utilizes an artificial intelligence analysis tool to develop an upper arm type human health state identification instrument (or called a traditional Chinese medicine pulse diagnosis instrument) to realize a human state identification method by combining traditional Chinese medicine pulse diagnosis information and dynamic korotkoff-type sound signal waveform data generated in the blood pressure measurement process of a korotkoff-type sound electronic auscultation method, and aims to provide a new scheme for identifying the human health state and realize quantization, visualization and traceability of the human health state identification information.
Referring to fig. 1, the human body state identification method of the present invention includes the steps of:
s100, collecting two-dimensional code information and upper arm vein development information of a subject;
s200, controlling a linear inflation and deflation device to synchronously acquire a Korotkoff sound signal and a cuff pressure signal of a subject through inflation and deflation, and determining systolic pressure and diastolic pressure based on a Korotkoff sound listening method;
s300, dividing the obtained Korotkoff sound dynamic graph into three parts which respectively correspond to the ulnar part, the guan part and the cun part of the cun-kou of the subject;
s400, short-time Fourier transform is respectively carried out on the three divided Korotkoff sound dynamic images to form a time-frequency joint analysis image;
s500, classifying the time-frequency joint analysis graph by contrasting a comparison template based on a deep learning method to form pulse condition information.
Referring to fig. 2, the identity authentication and login confirmation method according to the embodiment of the present invention includes the following steps:
s110, if the subject is measured for the first time, executing the step S120; if the subject is not the first measurement, go to step S130;
s120, responding to the scanned two-dimensional code information, obtaining and storing personal basic information of the testee, collecting upper arm vein development information of the testee and associating the upper arm vein development information with the personal basic information of the testee;
and S130, collecting the upper arm development information of the testee as login confirmation information.
Referring to fig. 3, the method for dividing the korotkoff-sound dynamic graph according to the embodiment of the present invention includes the following steps: the korotkoff dynamic graph dividing unit is used for dividing by taking the cuff pressure when the linear inflation and deflation device stops pressurizing and inflating as a starting point, taking 20mmHg as an end point and taking the systolic pressure and the diastolic pressure as dividing points; wherein, the pressure peak corresponds to the size part corresponding to the systolic pressure section, the systolic pressure section corresponds to the close part corresponding to the diastolic pressure section, and the diastolic pressure section corresponds to the inch part corresponding to the 20mmHg section.
Referring to fig. 4, the method for creating a comparison template according to an embodiment of the present invention includes the following steps:
step A, recording pulse condition information of cun, guan and chi parts of a left hand and a right hand obtained by a subject through pulse diagnosis by a traditional Chinese medicine expert;
and step B, executing the step S200, the step S300 and the step S400, establishing a corresponding relation between the obtained time-frequency joint analysis graphs of the left hand and the right hand and the pulse condition information obtained in the step A, and generating a comparison template.
In some embodiments, the human body state recognition method of the present invention further includes: and recording auxiliary diagnosis suggestions corresponding to the pulse condition information, and outputting the corresponding auxiliary diagnosis suggestions through a display screen based on the obtained pulse condition information.
Referring to fig. 5, the human body state identification system of the embodiment of the invention comprises a signal acquisition subsystem mainly used for acquiring a korotkoff sound signal and a cuff pressure signal, and an analysis and display subsystem mainly used for analyzing the korotkoff sound signal and processing the korotkoff sound signal to obtain a pulse condition information result.
With further reference to fig. 6, the signal acquisition subsystem according to the embodiment of the present invention includes a korotkoff sound acquisition module, a cuff pressure acquisition module, a two-dimensional code identification module, a vein visualization identification module, a pressure generation module, and a main control module. The two-dimension code identity recognition module is used for collecting two-dimension code information of a subject; the vein development identity recognition module is used for collecting the upper arm vein development information of the testee; the main control module is used for controlling the linear inflation and deflation device of the pressure generation module to inflate and deflate, and controlling the Korotkoff sound acquisition module and the cuff pressure acquisition module to synchronously acquire Korotkoff sound signals and cuff pressure signals of a testee. The signal acquisition subsystem is used for carrying out primary processing on the acquired signals and then sending the signals to the analysis and display subsystem for further analysis.
Referring to fig. 7, the analysis and display subsystem of the embodiment of the invention includes a blood pressure discrimination module and a pulse condition analysis module. The blood pressure judging module is used for determining systolic pressure and diastolic pressure based on a Korotkoff sound listening method according to a Korotkoff sound signal and a cuff pressure signal of a subject; the pulse condition analysis module is used for dividing the obtained Korotkoff sound dynamic graph into three parts which respectively correspond to the ulnar part, the guan part and the cun part of the cun-kou of the subject; respectively carrying out short-time Fourier transform on the three-divided Korotkoff sound dynamic images to form a time-frequency joint analysis image; based on a deep learning method, the time-frequency joint analysis graph is classified by contrasting a comparison template to form pulse condition information.
Referring to fig. 8, the pulse condition analyzing module according to the embodiment of the present invention further includes a korotkoff-sound dynamic graph dividing unit, a short-time fourier transform unit, and a comparison classifying unit. The korotkoff sound dynamic graph dividing unit is used for dividing by taking the cuff pressure when the linear inflation and deflation device stops pressurizing and inflating as a starting point, taking 20mmHg as an end point and respectively taking the systolic pressure and the diastolic pressure as dividing points; wherein, the pressure peak corresponds to the size part corresponding to the systolic pressure section, the systolic pressure section corresponds to the close part corresponding to the diastolic pressure section, and the diastolic pressure section corresponds to the inch part corresponding to the 20mmHg section.
In some embodiments, the analysis and display subsystem further comprises a comparison template creation module; the contrast template establishing module is used for recording pulse condition information of cun, guan and chi parts of the left hand and the right hand obtained by the subject through pulse diagnosis by a traditional Chinese medicine expert; and establishing a corresponding relation between the time-frequency joint analysis graph of each part of the left hand and the right hand obtained by the pulse condition analysis module and pulse condition information of cun, guan and chi parts of the left hand and the right hand obtained by the pulse diagnosis of the traditional Chinese medicine expert by hands to generate a comparison template.
Referring to FIG. 10, FIG. 10 is a diagram of a human condition identifier display layout, in some embodiments, the analysis and display subsystem includes a display module; and the display module is used for displaying systolic pressure, diastolic pressure, average pressure, pulse rate, pulse condition information, auxiliary diagnosis suggestions and the like.
Referring to fig. 9, in some embodiments, the embedded system (signal acquisition system) mainly includes a korotkoff sound acquisition module (PVDF piezoelectric sensor, analog signal preprocessing circuit), a cuff pressure acquisition module (pressure sensor, analog signal conditioning circuit), a two-dimensional code identification module, a vein development identification module, a pressure generation module (linear charging and discharging device, driving control circuit), an apparatus main control module, a wireless encryption transmission (e.g., bluetooth, WIFI, mobile cellular communication) and peripheral interface module, an apparatus switch and key control module, a power module, a cuff, a rubber tube, and the like. The upper computer of the system can be a mobile phone, a tablet, a computer (notebook type, desktop type) and the like, and has a wireless transmission function.
The system software comprises two parts, namely embedded software which mainly comprises a Korotkoff sound waveform signal and cuff pressure acquisition, Korotkoff sound signal waveform wireless transmission (transmitted to an upper computer), two-dimensional code and vein development identity identification, linear constant-speed inflation and deflation device control, power supply management and the like; and the other one is upper computer software, namely an analysis and display subsystem (a Korotkoff sound waveform signal transmission and display, a blood pressure measurement value discrimination operation and display, a pulse condition analysis, a traditional Chinese medicine pulse diagnosis auxiliary analysis and the like).
The signal acquisition of the embodiment of the invention adopts the design idea of the upper arm type single cuff, the measurement process comprises quick inflation and uniform speed slow deflation, and the systolic pressure and the diastolic pressure are determined according to the Korotkoff acoustic auscultation method in the deflation process. The cuff pressurization and inflation process is finished within 5-10s, and the cuff is decompressed and linearly deflated (the deflation rate is 1 mmHg/sec); when the cuff pressure is 20mmHg, the quick deflation is started until the cuff pressure is reduced to 0 mmHg.
The frequency response of a sensor contained in the Korotkoff sound acquisition module is 1-1000 Hz; the cuff pressure acquisition module completes rapid inflation, and the pressure value in the cuff is measured in the constant-speed slow deflation process; the pressure generating module comprises an inflating pump and an air release valve, and the inflating and deflating processes are controlled by corresponding driving control circuits; the main control module of the equipment adopts a 16-bit or 32-bit microcontroller to realize the functions of signal synchronous acquisition, data transmission, power supply control, equipment on-off control and the like; the two-dimensional code identification module is used for registering personal basic information when a testee uses the equipment for the first time; the vein imaging identification module is associated with vein imaging information of the upper arm (two arms) of the testee when the testee registers personal basic information by using the equipment for the first time, so that the subsequent testee is convenient to avoid re-registration of the personal information when using the equipment, and the measurement information of the previous time is associated to form a long-term observation database; the wireless encryption transmission module is used for realizing data encryption transmission of measurement signals, personal basic information of the testee and the like, protecting the personal privacy of the testee and preventing leakage; the power supply module supports a lithium battery or a 220V mains supply mode.
The blood pressure judging module is realized on a system upper computer, and systolic pressure and diastolic pressure measurement values are determined by a blood pressure calculation method based on a Korotkoff acoustic diagnosis method; the dynamic waveform and the backtracking waveform are displayed dynamically and backtracking through a display screen of the upper computer; the measurement result displays information such as systolic pressure, diastolic pressure, average pressure, pulse rate and the like, and pulse condition information of cun, guan and chi of the left hand and the right hand respectively is analyzed through an artificial intelligence analysis tool and is automatically classified; and (4) providing an auxiliary diagnosis suggestion by combining pulse condition information and traditional Chinese medicine pulse diagnosis experience.
According to the embodiment, the two-dimensional code and upper arm vein development identity recognition technology can enable a subject to realize one-time registration and subsequent secret-free login in the process of using equipment; the leakage-proof function of personal information of the testee is realized through wireless encryption transmission; the pulse condition acquisition and analysis can be completed in one blood pressure measurement process based on the Korotkoff acoustic diagnostic method, and compared with the existing cunkou pulse wave waveform analysis method, the pulse condition acquisition and analysis method has no requirement on the positioning of the acquisition part and is easy to implement.
Although specific embodiments have been described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are equally within the scope of this disclosure. For example, any of the functions and/or processing capabilities described in connection with a particular device or component may be performed by any other device or component. In addition, while various illustrative implementations and architectures have been described in accordance with embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications of the illustrative implementations and architectures described herein are also within the scope of the present disclosure.
Certain aspects of the present disclosure are described above with reference to block diagrams and flowchart illustrations of systems, methods, systems, and/or computer program products according to example embodiments. It will be understood that one or more blocks of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by executing computer-executable program instructions. Also, according to some embodiments, some blocks of the block diagrams and flow diagrams may not necessarily be performed in the order shown, or may not necessarily be performed in their entirety. In addition, additional components and/or operations beyond those shown in the block diagrams and flow diagrams may be present in certain embodiments.
Accordingly, blocks of the block diagrams and flowchart illustrations support combinations of means for performing the specified functions, combinations of elements or steps for performing the specified functions and program instruction means for performing the specified functions. It will also be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware-based computer systems that perform the specified functions, elements or steps, or combinations of special purpose hardware and computer instructions.
Program modules, applications, etc. described herein may include one or more software components, including, for example, software objects, methods, data structures, etc. Each such software component may include computer-executable instructions that, in response to execution, cause at least a portion of the functionality described herein (e.g., one or more operations of the illustrative methods described herein) to be performed.
The software components may be encoded in any of a variety of programming languages. An illustrative programming language may be a low-level programming language, such as assembly language associated with a particular hardware architecture and/or operating system platform. Software components that include assembly language instructions may need to be converted by an assembler program into executable machine code prior to execution by a hardware architecture and/or platform. Another exemplary programming language may be a higher level programming language, which may be portable across a variety of architectures. Software components that include higher level programming languages may need to be converted to an intermediate representation by an interpreter or compiler before execution. Other examples of programming languages include, but are not limited to, a macro language, a shell or command language, a job control language, a scripting language, a database query or search language, or a report writing language. In one or more exemplary embodiments, a software component containing instructions of one of the above programming language examples may be executed directly by an operating system or other software component without first being converted to another form.
The software components may be stored as files or other data storage constructs. Software components of similar types or related functionality may be stored together, such as in a particular directory, folder, or library. Software components may be static (e.g., preset or fixed) or dynamic (e.g., created or modified at execution time).
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (10)
1. A human body state identification method is characterized by comprising the following steps:
s100, collecting two-dimensional code information and upper arm vein development information of a subject;
s200, controlling a linear inflation and deflation device to synchronously acquire a Korotkoff sound signal and a cuff pressure signal of the testee through inflation and deflation, and determining systolic pressure and diastolic pressure based on a Korotkoff sound listening method;
s300, dividing the obtained Korotkoff sound dynamic graph into three parts which respectively correspond to the cun-kou, guan-kou and cun-kou of the subject;
s400, short-time Fourier transform is respectively carried out on the three divided Korotkoff sound dynamic images to form a time-frequency joint analysis image;
s500, classifying the time-frequency joint analysis graph by contrasting a comparison template based on a deep learning method to form pulse condition information.
2. The human body state recognition method according to claim 1, wherein the step S100 comprises:
s110, if the subject is measured for the first time, executing the step S120; if the subject is not the first measurement, performing step S130;
s120, responding to the scanned two-dimensional code information, obtaining and storing personal basic information of the testee, collecting upper arm vein development information of the testee and associating the upper arm vein development information with the personal basic information of the testee;
and S130, collecting the upper arm development information of the testee as login confirmation information.
3. The human body state recognition method according to claim 1, wherein the step S300 comprises:
dividing by taking the cuff pressure when the linear inflation and deflation device stops pressurizing and inflating as a starting point, taking 20mmHg as an end point and taking the systolic pressure and the diastolic pressure as dividing points respectively; wherein, the pressure peak corresponds to the size part corresponding to the systolic pressure section, the systolic pressure section corresponds to the close part corresponding to the diastolic pressure section, and the diastolic pressure section corresponds to the inch part corresponding to the 20mmHg section.
4. The human body state recognition method according to claim 1, further comprising:
establishing the comparison template before measurement, comprising the steps of:
step A, recording pulse condition information of cun, guan and chi parts of a left hand and a right hand obtained by a subject through pulse diagnosis by a traditional Chinese medicine expert;
and step B, executing the step S200, the step S300 and the step S400, establishing a corresponding relation between the obtained time-frequency joint analysis graphs of the left hand and the right hand and the pulse condition information obtained in the step A, and generating a comparison template.
5. The human body state recognition method according to claim 1, further comprising:
and recording auxiliary diagnosis suggestions corresponding to the pulse condition information, and outputting the corresponding auxiliary diagnosis suggestions through a display screen based on the obtained pulse condition information.
6. A human body state identification system, comprising:
the signal acquisition subsystem comprises a Korotkoff tone acquisition module, a cuff pressure acquisition module, a two-dimensional code identity recognition module, a vein development identity recognition module, a pressure generation module and a main control module;
the blood pressure judging module is connected with the pulse condition analyzing module;
the two-dimension code identity recognition module is used for collecting the two-dimension code information of the testee;
the vein imaging identity recognition module is used for collecting the vein imaging information of the upper arm of the subject;
the main control module is used for controlling the linear inflation and deflation device of the pressure generation module to inflate and deflate, and controlling the korotkoff sound acquisition module and the cuff pressure acquisition module to synchronously acquire korotkoff sound signals and cuff pressure signals of the testee;
the blood pressure judging module is used for determining systolic pressure and diastolic pressure based on a Korotkoff sound listening method according to the Korotkoff sound signals and the cuff pressure signals of the testee;
the pulse condition analysis module is used for dividing the obtained Korotkoff sound dynamic graph into three parts which respectively correspond to the ulnar part, the guan part and the cun part of the cun-kou of the subject; respectively carrying out short-time Fourier transform on the three-divided Korotkoff sound dynamic images to form a time-frequency joint analysis image; and classifying the time-frequency joint analysis graph by contrasting a comparison template based on a deep learning method to form pulse condition information.
7. The human body state recognition system of claim 6, wherein the pulse condition analysis module comprises a korotkoff sound dynamics graph partitioning unit;
the korotkoff sound dynamic graph dividing unit is used for dividing by taking the cuff pressure when the linear inflation and deflation device stops pressurizing and inflating as a starting point, taking 20mmHg as an end point and respectively taking the systolic pressure and the diastolic pressure as dividing points; wherein, the pressure peak corresponds to the size part corresponding to the systolic pressure section, the systolic pressure section corresponds to the close part corresponding to the diastolic pressure section, and the diastolic pressure section corresponds to the inch part corresponding to the 20mmHg section.
8. The human state recognition system of claim 6, wherein the analysis and display subsystem further comprises a contrast template creation module;
the contrast template establishing module is used for recording pulse condition information of cun, guan and chi parts of the left hand and the right hand obtained by the subject through pulse diagnosis by a traditional Chinese medicine expert; and establishing a corresponding relation between the time-frequency joint analysis graph of each part of the left hand and the right hand obtained by the pulse condition analysis module and pulse condition information of cun, guan and chi parts of the left hand and the right hand obtained by the pulse diagnosis of the traditional Chinese medicine expert by hands to generate a comparison template.
9. The human state recognition system of claim 6, wherein the analysis and display subsystem comprises a display module;
the display module is used for displaying systolic pressure, diastolic pressure, average pressure, pulse rate, pulse condition information and auxiliary diagnosis suggestions.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 1 to 5.
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