CN112071416A - Blood gas analysis and judgment simulation system and method - Google Patents
Blood gas analysis and judgment simulation system and method Download PDFInfo
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Abstract
The invention belongs to the technical field of medical detection, and discloses a blood gas analysis, judgment and simulation system and a method. The invention can collect the blood gas detection data of the patient in time, so that the treatment suggestion can be given in the shortest time, the disease judgment basis can be provided for medical staff under the remote condition, the purpose of quick treatment is realized, and the life of the patient is saved; and the blood gas data can be calculated to obtain the key data of the blood gas analysis of the patient, and the obtained key data of the blood gas analysis is compared and identified with the data of different diseases prestored in the database, so that the corresponding disease types are judged, and accurate reference diagnosis can be quickly made.
Description
Technical Field
The invention belongs to the technical field of medical detection, and particularly relates to a blood gas analysis, judgment and simulation system and method.
Background
Currently, blood gas analysis (BG) refers to the measurement of the presence of gas-exchanging O in blood2And CO2And measuring parameters related to acid-base balance indexes, and analyzing and judging to know the ventilation and air exchange functions of the organism and various acid-base imbalance conditions. The blood gas analysis is carried out by measuring H in human blood with blood gas analyzer+Concentration and dissolved gases in blood (mainly CO)2、O2) The method can directly reflect the lung ventilation function and the acid-base equilibrium state thereof. The specimen used is usually arterial blood. Is suitable for use in: diagnosis of hypoxemia and respiratory failure; differential diagnosis of dyspnea; differential diagnosis of coma; selecting an operation indication; application, adjustment and withdrawal of the breathing machine; observation of respiratory therapy; diagnosis of acid-base imbalance, etc. Arterial oxygen partial Pressure (PO) capable of being directly measured by blood gas analyzer2) Arterial carbon dioxide partial Pressure (PCO)2) And the concentration (pH) of hydrogen ions in the artery, and a series of parameters are calculated, and more than 50 indexes can be measured by developing the method today.
However, most of the existing blood gas analysis systems still operate on site in real time, and cannot meet the situation of improper treatment caused by insufficient doctor number in an emergency state. After the data after blood gas analysis is obtained, medical staff is required to expend energy to judge results, and accurate diagnostic judgment is difficult to make due to the influence of clinical knowledge and complicated indexes of the medical staff.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) most of the existing blood gas analysis systems still operate on site in real time and cannot meet the condition of improper treatment caused by insufficient doctor number in an emergency state.
(2) Medical staff is required to expend energy to judge results, and accurate diagnostic judgment is difficult to make due to the influence of the clinical knowledge and the complicated and variable indexes of the medical staff.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a blood gas analysis, judgment and simulation system and a method.
The invention is realized in such a way that a blood gas analysis, judgment and simulation method comprises the following steps:
the method comprises the following steps that firstly, an acquisition module inputs and acquires blood gas detection data of a patient through external input equipment, or reads and inputs the blood gas detection data in an online reading mode, and the acquired blood gas detection data are stored in a cloud server;
the central processing and control module is respectively connected with the acquisition module, the data screening module, the analysis module, the storage module, the judgment module, the data uploading module and the human-computer interaction module, processes the acquired data through the main controller, and controls the coordination work of each module according to the processing result and preset parameters;
step three, the data screening module screens the collected blood gas detection data to screen out H in blood required by blood gas analysis+Concentration and CO in blood2、O2Gas concentration data of (a);
step four, the analysis module substitutes the screened data required by the blood gas analysis into a preset blood gas analysis program to calculate the blood gas data to obtain key data of the blood gas analysis of the patient,
step five, performing preliminary blood gas analysis according to key data of the blood gas analysis of the patient, and storing the key data of the blood gas analysis of the patient into a cloud server by a storage module;
step six, the judgment module compares and identifies the result obtained by the preliminary blood gas analysis and the key data of the blood gas analysis with the data of different diseases prestored in the database, and judges the corresponding disease types;
step seven, the data uploading module uploads the judged disease types to a local server of the medical system for data sharing, and each consulting room displays and checks the judgment results through an internal network terminal;
in the second step, the screening method adopted when the collected blood gas detection data is screened comprises the following steps:
acquiring blood gas detection data to be screened, and identifying keywords of detection items in the blood gas detection data;
converting the blood gas detection data from unstructured data into semi-structured data according to the keywords;
marking the main features and the secondary features in the converted semi-structured data according to the preset keyword priority;
according to the main features and the secondary features, the semi-structured data are identified and extracted to obtain H in blood required by blood gas analysis+Concentration and CO in blood2、O2Gas concentration data of (a);
in the fifth step, the storage module stores the key data of the blood gas analysis of the patient into the cloud server, and the process of classifying the data is as follows:
establishing a data clustering set by using data corresponding to the acquisition module, the data screening module, the analysis module, the storage module, the judgment module, the data uploading module and the human-computer interaction module;
setting a corresponding data classification standard as a data classification center according to needs;
calculating the distance between each classification center and each data to be classified according to the classification distance model;
classifying the data with the shortest distance into a group which is the same as the classification center according to the minimum distance principle;
and continuously repeating the operations until the data classification in the data clustering set is completed.
Further, in the first step, when the collected blood gas detection data is stored in the cloud server, the blood gas detection data is packaged and stored according to the identity information of the patient, and file naming is performed according to the identification information of the patient.
Further, in step five, the result obtained by the preliminary blood gas analysis includes the ph value of the blood and the partial pressure value generated by dissolved O in the blood.
Further, the blood is judged to be acidemia if the blood pH value is less than 7.35, and is judged to be alkalescence if the blood pH value is more than 7.45;
if the partial pressure value PO of dissolved O in blood is less than 60mmHg, it is determined that the patient is in a respiratory failure stage, if the partial pressure value PO of dissolved O in blood is less than 55mmHg, it is determined that the patient is in respiratory failure, and if the partial pressure value PO of dissolved O in blood is less than 20mmHg, it is determined that the patient is in respiratory failure.
Another object of the present invention is to provide a blood gas analysis and judgment simulation system for implementing the blood gas analysis and judgment simulation method, the blood gas analysis and judgment simulation system including:
the central processing and control module is connected with the acquisition module, the data screening module, the analysis module, the storage module, the judgment module, the data uploading module and the human-computer interaction module, and is used for processing the acquired data through the main controller and controlling the coordination work of each module according to the processing result and preset parameters;
the acquisition module is connected with the central processing and control module and is used for acquiring and inputting the blood gas detection data through external input equipment or online reading; when the collected blood gas detection data are stored in the cloud server, the blood gas detection data are packaged and stored according to the identity information of the patient, and file naming is carried out according to the identification information of the patient;
the data screening module is connected with the central processing and control module, screens the acquired data and screens out H in blood required by blood gas analysis+Concentration and CO in blood2、O2Gas concentration data of (a); acquiring blood gas detection data to be screened, and identifying keywords of detection items in the blood gas detection data; converting the blood gas detection data from unstructured data into semi-structured data according to the keywords; according to the preset keywordMarking the main features and the secondary features in the converted semi-structured data in a first stage; according to the main features and the secondary features, the semi-structured data are identified and extracted to obtain H in blood required by blood gas analysis+Concentration and CO in blood2、O2Gas concentration data of (a);
and the analysis module is connected with the central processing and control module, and substitutes the screened data required by blood gas analysis into a preset blood gas analysis program to calculate the blood gas data so as to obtain key data of the blood gas analysis of the patient.
Further, the blood gas analysis, judgment and simulation system further comprises:
the storage module is connected with the central processing and control module and used for storing and classifying the disease database and the collected blood gas detection data through the cloud server, and establishing a data clustering set by the data corresponding to the collection module, the data screening module, the analysis module, the storage module, the judgment module, the data uploading module and the human-computer interaction module; setting a corresponding data classification standard as a data classification center according to needs; calculating the distance between each classification center and each data to be classified according to the classification distance model; classifying the data with the shortest distance into a group which is the same as the classification center according to the minimum distance principle; continuously repeating the operations until the data classification in the data clustering set is completed;
the judging module is connected with the central processing and control module and is used for comparing and identifying the key data of blood gas analysis obtained by the analyzing module with the data of different diseases prestored in the database and judging the corresponding disease types; the data uploading module is connected with the central processing and control module and is used for uploading the judged disease types to a local server of the medical system for data sharing;
and the human-computer interaction module is connected with the central processing and control module and is used for inputting information through external input equipment and outputting a processing result through display equipment.
Further, the disease database is constructed by collecting blood gas analysis data of known diseases, the blood gas analysis data including a blood pH value, a partial pressure value resulting from O dissolved physically in plasma alone, and a partial pressure value resulting from CO dissolved physically in plasma alone.
Further, the human-computer interaction module comprises:
the data input unit is used for inputting the blood gas detection data according to a laboratory sheet of a patient; the result display unit is used for displaying the judged disease result and the corresponding data through the display terminal; and the printing unit is used for printing and checking the judged disease result and the corresponding data through an external printing device.
Another object of the present invention is to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the blood gas analysis and judgment simulation method when the computer program product is executed on an electronic device.
Another object of the present invention is to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the blood gas analysis judgment simulation method.
By combining all the technical schemes, the invention has the advantages and positive effects that: in the application, the acquisition module acquires and inputs the blood gas detection data through external input equipment or online reading; the data screening module screens the acquired data to screen out H in blood required by blood gas analysis+Concentration and gas concentration data of CO2, O2 in blood; the analysis module substitutes the screened data required by blood gas analysis into a preset blood gas analysis program to calculate the blood gas data to obtain key data of the blood gas analysis of the patient; the storage module stores the disease database and the collected blood gas detection data through the cloud server; the judgment module compares and identifies the key data of blood gas analysis obtained by the analysis module with the data of different diseases prestored in the database, and judges the corresponding disease types; the data uploading module uploads the judged disease types to a local server of the medical system for data sharing; the man-machine interaction module inputs information through an external input device and outputs information through a display deviceAnd (6) processing the result.
The invention can collect the blood gas detection data of the patient in time, so that the treatment suggestion can be given in the shortest time, the disease judgment basis can be provided for medical staff under the remote condition, the purpose of quick treatment is realized, and the life of the patient is saved; and the blood gas data can be calculated to obtain the key data of the blood gas analysis of the patient, and the obtained key data of the blood gas analysis is compared and identified with the data of different diseases prestored in the database, so that the corresponding disease types are judged, and accurate reference diagnosis can be quickly made.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a block diagram of a blood gas analysis and judgment simulation system according to an embodiment of the present invention.
Fig. 2 is a block diagram of a structure of a human-computer interaction module according to an embodiment of the present invention.
Fig. 3 is a flow chart of a blood gas analysis and judgment simulation method according to an embodiment of the present invention.
Fig. 4 is a flowchart of a screening method according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for classifying data by a storage module according to an embodiment of the present invention.
In the figure: 1. a central processing and control module; 2. an acquisition module; 3. a data screening module; 4. an analysis module; 5. a storage module; 6. a judgment module; 7, a data uploading module; 8. and a man-machine interaction module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides a blood gas analysis and judgment simulation system and method, which will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the blood gas analysis and judgment simulation system according to the embodiment of the present invention includes:
the central processing and control module 1 is connected with the acquisition module 2, the data screening module 3, the analysis module 4, the storage module 5, the judgment module 6, the data uploading module 7 and the human-computer interaction module 8, and is used for processing the acquired data through the main controller and controlling the coordination work of each module according to the processing result and preset parameters;
the acquisition module 2 is connected with the central processing and control module and is used for acquiring and inputting the blood gas detection data through external input equipment or online reading;
a data screening module 3 connected with the central processing and control module for screening the collected data and screening out H in blood required by blood gas analysis+Concentration and gas concentration data of CO2, O2 in blood;
the analysis module 4 is connected with the central processing and control module, and is used for substituting the screened data required by the blood gas analysis into a preset blood gas analysis program to calculate the blood gas data so as to obtain key data of the blood gas analysis of the patient;
the storage module 5 is connected with the central processing and control module and used for storing the disease database and the collected blood gas detection data through the cloud server;
the judging module 6 is connected with the central processing and control module and is used for comparing and identifying the key data of blood gas analysis obtained by the analyzing module with the data of different diseases prestored in the database and judging the corresponding disease types;
the data uploading module 7 is connected with the central processing and control module and is used for uploading the judged disease types to a local server of the medical system for data sharing;
and the human-computer interaction module 8 is connected with the central processing and control module and is used for inputting information through external input equipment and outputting a processing result through display equipment.
The disease database in the embodiment of the invention is constructed by collecting blood gas analysis data of known diseases, wherein the blood gas analysis data comprises a blood pH value, a partial pressure value generated by physically dissolved O alone in plasma, and a partial pressure value generated by physically dissolved CO alone in plasma.
As shown in fig. 2, the human-computer interaction module 8 in the embodiment of the present invention includes:
a data input unit 81 for inputting blood gas detection data according to a laboratory sheet of a patient;
a result display unit 82 for displaying the judged disease result and the corresponding data through a display terminal;
and the printing unit 83 is used for printing and checking the judged disease result and the corresponding data through an external printing device.
As shown in fig. 3, the blood gas analysis and judgment simulation method provided by the embodiment of the present invention includes:
s101, inputting and collecting blood gas detection data of a patient through external input equipment, or reading and inputting the blood gas detection data in an online reading mode, and storing the collected blood gas detection data into a cloud server;
s102, screening the collected blood gas detection data to screen out H in blood required by blood gas analysis+Concentration and CO in blood2、O2Gas concentration data of (a);
s103, substituting the screened data required by the blood gas analysis into a preset blood gas analysis program to calculate the blood gas data to obtain key data of the blood gas analysis of the patient,
s104, performing primary blood gas analysis according to key data of the blood gas analysis of the patient, and storing the key data of the blood gas analysis of the patient into a cloud server;
s105, comparing and identifying the result obtained by the preliminary blood gas analysis and the key data of the blood gas analysis with the data of different diseases prestored in the database, and judging the corresponding disease types;
and S106, uploading the judged disease types to a local server of the medical system for data sharing, and displaying and checking the judgment results by each consulting room through an internal network terminal.
In step S101 in the embodiment of the present invention, when the collected blood gas detection data is stored in the cloud server, the blood gas detection data is packaged and stored according to the identity information of the patient, and file naming is performed according to the identification information of the patient.
In step S102 in the embodiment of the present invention, a screening method adopted when screening the collected blood gas detection data includes:
s201, obtaining blood gas detection data to be screened, and identifying keywords of detection items in the blood gas detection data;
s202, converting the blood gas detection data from unstructured data into semi-structured data according to the keywords;
s203, marking the main features and the secondary features in the converted semi-structured data according to the preset keyword priority;
s204, identifying and extracting the semi-structured data according to the main features and the secondary features to obtain H in blood required by blood gas analysis+Concentration and CO in blood2、O2Gas concentration data of (a).
In step S105 in the embodiment of the present invention, the result obtained by the preliminary blood gas analysis includes a blood ph value and a partial pressure value generated by dissolved O in blood. If the blood pH value is less than 7.35, the blood is judged to be acidemia, and if the blood pH value is more than 7.45, the blood is judged to be alkalescence; if the partial pressure value PO of dissolved O in blood is less than 60mmHg, it is determined that the patient is in a respiratory failure stage, if the partial pressure value PO of dissolved O in blood is less than 55mmHg, it is determined that the patient is in respiratory failure, and if the partial pressure value PO of dissolved O in blood is less than 20mmHg, it is determined that the patient is in respiratory failure.
As shown in fig. 5. In step S105 in the embodiment of the present invention, the storage module stores the key data of the blood gas analysis of the patient in the cloud server, and the process of classifying the data is as follows:
s301, establishing a data clustering set by using data corresponding to the acquisition module, the data screening module, the analysis module, the storage module, the judgment module, the data uploading module and the human-computer interaction module;
s302, setting a corresponding data classification standard as a data classification center according to needs;
s303, calculating the distance between each classification center and each data to be classified according to the classification distance model;
s304, grouping the data with the shortest distance into a group which is the same as the classification center according to the minimum distance principle;
and S305, continuously repeating the operations until the data classification in the data clustering set is completed.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. A blood gas analysis and judgment simulation method is characterized by comprising the following steps:
the method comprises the following steps that firstly, an acquisition module inputs and acquires blood gas detection data of a patient through external input equipment, or reads and inputs the blood gas detection data in an online reading mode, and the acquired blood gas detection data are stored in a cloud server;
the central processing and control module is respectively connected with the acquisition module, the data screening module, the analysis module, the storage module, the judgment module, the data uploading module and the human-computer interaction module, processes the acquired data through the main controller, and controls the coordination work of each module according to the processing result and preset parameters;
step three, the data screening module screens the collected blood gas detection data to screen out H in blood required by blood gas analysis+Concentration and CO in blood2、O2Gas concentration data of (a);
step four, the analysis module substitutes the screened data required by the blood gas analysis into a preset blood gas analysis program to calculate the blood gas data to obtain key data of the blood gas analysis of the patient,
step five, performing preliminary blood gas analysis according to key data of the blood gas analysis of the patient, and storing the key data of the blood gas analysis of the patient into a cloud server by a storage module;
step six, the judgment module compares and identifies the result obtained by the preliminary blood gas analysis and the key data of the blood gas analysis with the data of different diseases prestored in the database, and judges the corresponding disease types;
step seven, the data uploading module uploads the judged disease types to a local server of the medical system for data sharing, and each consulting room displays and checks the judgment results through an internal network terminal;
in the second step, the screening method adopted when the collected blood gas detection data is screened comprises the following steps:
acquiring blood gas detection data to be screened, and identifying keywords of detection items in the blood gas detection data;
converting the blood gas detection data from unstructured data into semi-structured data according to the keywords;
marking the main features and the secondary features in the converted semi-structured data according to the preset keyword priority;
according to the main features and the secondary features, the semi-structured data are identified and extracted to obtain H in blood required by blood gas analysis+Concentration and CO in blood2、O2Gas concentration data of (a);
in the fifth step, the storage module stores the key data of the blood gas analysis of the patient into the cloud server, and the process of classifying the data is as follows:
establishing a data clustering set by using data corresponding to the acquisition module, the data screening module, the analysis module, the storage module, the judgment module, the data uploading module and the human-computer interaction module;
setting a corresponding data classification standard as a data classification center according to needs;
calculating the distance between each classification center and each data to be classified according to the classification distance model;
classifying the data with the shortest distance into a group which is the same as the classification center according to the minimum distance principle;
and continuously repeating the operations until the data classification in the data clustering set is completed.
2. The method for simulating blood gas analysis and judgment as claimed in claim 1, wherein in the first step, when the collected blood gas detection data is stored in the cloud server, the blood gas detection data is packed and stored according to the identity information of the patient, and file naming is performed according to the identification information of the patient.
3. The method according to claim 1, wherein in the fifth step, the result of the preliminary blood gas analysis includes a value of pH of the blood and a value of partial pressure generated by dissolved O in the blood.
4. The method of claim 1, wherein the blood gas analysis and judgment simulation method is characterized in that the method is characterized by determining the blood disease if the blood pH value is less than 7.35, and determining the blood disease if the blood pH value is greater than 7.45;
if the partial pressure value PO of dissolved O in blood is less than 60mmHg, it is determined that the patient is in a respiratory failure stage, if the partial pressure value PO of dissolved O in blood is less than 55mmHg, it is determined that the patient is in respiratory failure, and if the partial pressure value PO of dissolved O in blood is less than 20mmHg, it is determined that the patient is in respiratory failure.
5. A blood gas analysis judgment simulation system for executing the blood gas analysis judgment simulation method according to any one of claims 1 to 4, wherein the blood gas analysis judgment simulation system comprises:
the central processing and control module is connected with the acquisition module, the data screening module, the analysis module, the storage module, the judgment module, the data uploading module and the human-computer interaction module, and is used for processing the acquired data through the main controller and controlling the coordination work of each module according to the processing result and preset parameters;
the acquisition module is connected with the central processing and control module and is used for acquiring and inputting the blood gas detection data through external input equipment or online reading; when the collected blood gas detection data are stored in the cloud server, the blood gas detection data are packaged and stored according to the identity information of the patient, and file naming is carried out according to the identification information of the patient;
the data screening module is connected with the central processing and control module, screens the acquired data and screens out H in blood required by blood gas analysis+Concentration and CO in blood2、O2Gas concentration data of (a); acquiring blood gas detection data to be screened, and identifying keywords of detection items in the blood gas detection data; converting the blood gas detection data from unstructured data into semi-structured data according to the keywords; marking the main features and the secondary features in the converted semi-structured data according to the preset keyword priority; according to the main features and the secondary features, the semi-structured data are identified and extracted to obtain H in blood required by blood gas analysis+Concentration and CO in blood2、O2Gas concentration data of (a);
and the analysis module is connected with the central processing and control module, and substitutes the screened data required by blood gas analysis into a preset blood gas analysis program to calculate the blood gas data so as to obtain key data of the blood gas analysis of the patient.
6. The blood gas analysis judgment simulation system according to claim 5, further comprising:
the storage module is connected with the central processing and control module and used for storing and classifying the disease database and the collected blood gas detection data through the cloud server, and establishing a data clustering set by the data corresponding to the collection module, the data screening module, the analysis module, the storage module, the judgment module, the data uploading module and the human-computer interaction module; setting a corresponding data classification standard as a data classification center according to needs; calculating the distance between each classification center and each data to be classified according to the classification distance model; classifying the data with the shortest distance into a group which is the same as the classification center according to the minimum distance principle; continuously repeating the operations until the data classification in the data clustering set is completed;
the judging module is connected with the central processing and control module and is used for comparing and identifying the key data of blood gas analysis obtained by the analyzing module with the data of different diseases prestored in the database and judging the corresponding disease types; the data uploading module is connected with the central processing and control module and is used for uploading the judged disease types to a local server of the medical system for data sharing;
and the human-computer interaction module is connected with the central processing and control module and is used for inputting information through external input equipment and outputting a processing result through display equipment.
7. The system of claim 6, wherein the disease database is constructed by collecting blood gas analysis data of known diseases, the blood gas analysis data including pH value of blood, partial pressure value of physically dissolved O alone in plasma, and partial pressure value of physically dissolved CO alone in plasma.
8. The system of claim 6, wherein the human-machine interaction module comprises:
the data input unit is used for inputting the blood gas detection data according to a laboratory sheet of a patient; the result display unit is used for displaying the judged disease result and the corresponding data through the display terminal; and the printing unit is used for printing and checking the judged disease result and the corresponding data through an external printing device.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing a blood gas analysis judgment simulation method according to any one of claims 1 to 4 when executed on an electronic device.
10. A computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a blood gas analysis judgment simulation method according to any one of claims 1 to 4.
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| CN202010905454.9A CN112071416A (en) | 2020-09-01 | 2020-09-01 | Blood gas analysis and judgment simulation system and method |
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| CN113974578A (en) * | 2021-10-27 | 2022-01-28 | 川北医学院 | Device for estimating physiological heart measurement according to qi and blood analysis |
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