Method and apparatus for establishing a blood pressure model and method and apparatus for determining a blood pressure

• US 10,679,757 B2
• Filed: 08/18/2017
• Issued: 06/09/2020
• Est. Priority Date: 09/14/2016
• Status: Active Grant

• Current Assignee: BOE Technology Group Co., Ltd.
• Original Assignee: BOE Technology Group Co., Ltd.
• Inventors: Li, Hui
• Primary Examiner(s): Jackson, Gary
• Assistant Examiner(s): Kabir, Zahed
• Application Number:
  US15/680,365
• Publication Number:
  US 20180075209A1
• Time in Patent Office: 1,026 Days
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/7235 Details of waveform analysis A61B5/349 takes precedence
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

The embodiments of the present disclosure disclose a method and apparatus for establishing a blood pressure model. The method comprises: acquiring pulse wave data, electrocardiographic data, blood pressure data and body mass indexes of a plurality of subjects to be examined; determining pulse wave transit time and pulse wave intensity ratios based on the pulse wave data and the electrocardiographic data; establishing a blood pressure model based on the blood pressure data, the pulse wave transit time, the pulse wave intensity ratios, and/or the body mass index.

Claims

1. A method for establishing a blood pressure model, comprising:

acquiring pulse wave data, electrocardiographic data, blood pressure data, and body mass indexes of a plurality of subjects to be examined, wherein the blood pressure data comprises systolic blood pressure data and diastolic blood pressure data;

determining pulse wave transit time and pulse wave intensity ratios based on the pulse wave data and the electrocardiographic data;

establishing a systolic blood pressure model indicative of a relationship between systolic blood pressures and the pulse wave transit time and the body mass indexes at least based on the systolic blood pressure data, the pulse wave transit time, and the body mass indexes; and

establishing a diastolic blood pressure model indicative of a relationship between diastolic blood pressures and the pulse wave intensity ratios and the body mass indexes at least based on the diastolic blood pressure data, the pulse wave intensity ratios, and the body mass indexes;

wherein the systolic blood pressure model and the diastolic blood pressure model constitute the blood pressure model.

2. The method according to claim 1, further comprising:

acquiring ages and/or genders of the plurality of subjects to be examined;

wherein the step of establishing the systolic blood pressure model further comprises;

establishing the systolic blood pressure model indicative of a relationship between the systolic blood pressures and the pulse wave transit time, the body mass indexes, and the ages and/or genders based on the systolic blood pressure data, the pulse wave transit time, the body mass indexes, and the ages and/or genders of the plurality of subjects to be examined; and

wherein the step of establishing the diastolic blood pressure model further comprises;

establishing the diastolic blood pressure model indicative of a relationship between the diastolic blood pressures and the pulse wave intensity ratios, the body mass indexes, and the ages and/or genders based on the diastolic blood pressure data, the pulse wave intensity ratios, the body mass indexes, and the ages and/or genders of the plurality of subjects to be examined.

3. The method according to claim 1, further comprising:

acquiring ages and/or genders of the plurality of subjects to be examined;

dividing the plurality of subjects to be examined into a plurality of groups based on the ages and/or genders;

for each of the plurality of groups, establishing a corresponding part of the systolic blood pressure model for the group indicative of a relationship between systolic blood pressures and pulse wave transit time and body mass indexes of subjects to be examined included in the group based on the systolic blood pressure data, the pulse wave transit time, and the body mass indexes; and

for each of the plurality of groups, establishing a corresponding part of the diastolic blood pressure model for the group indicative of a relationship between diastolic blood pressures and pulse wave intensity ratios, and body mass indexes of subjects to be examined included in the group based on the diastolic blood pressure data, the pulse wave intensity ratios and the body mass indexes.

4. The method according to claim 1, wherein

the step of establishing the systolic blood pressure model comprises:

constructing a first training set comprising the systolic blood pressure data, the pulse wave transit time, and the body mass indexes of the plurality of subjects to be examined; and

determining parameters in the systolic blood pressure model by using the first training set with the pulse wave transit time and the body mass indexes being inputs of the systolic blood pressure model and the systolic blood pressure data being an output of the systolic blood pressure model;

and/or

wherein the step of establishing the diastolic blood pressure model comprises;

constructing a second training set comprising the diastolic blood pressure data, the pulse wave intensity ratios, and the body mass indexes of the plurality of subjects to be examined; and

determining parameters in the diastolic blood pressure model by using the second training set with the pulse wave intensity ratios and the body mass indexes being inputs of the diastolic blood pressure model and the diastolic blood pressure data being an output of the diastolic blood pressure model.

5. The method according to claim 4, wherein the parameters are determined by using a least square regression method.

6. The method according to claim 1, further comprising:

constructing a first test set comprising systolic blood pressure data, pulse wave transit time, and body mass indexes of other subjects to be examined;

calculating systolic blood pressure data by using the systolic blood pressure model with the pulse wave transit time and the body mass indexes in the first test set; and

evaluating the systolic blood pressure model based on the calculated systolic blood pressure data and the systolic blood pressure data in the first test set;

and/or the method further comprises;

constructing a second test set comprising diastolic blood pressure data, pulse wave intensity ratios and body mass indexes of other subjects to be examined;

calculating diastolic blood pressure data by using the diastolic blood pressure model with the pulse wave intensity ratios and the body mass indexes in the second test set; and

evaluating the diastolic blood pressure model based on the calculated diastolic blood pressure data and the diastolic blood pressure data in the second test set.

7. A method for determining a blood pressure of a subject to be examined, comprising:

acquiring pulse wave data, electrocardiographic data, and a body mass index of the subject to be examined;

determining pulse wave transit time and a pulse wave intensity ratio based on the pulse wave data and the electrocardiographic data; and

determining the blood pressure of the subject to be examined according to a pre-established blood pressure model based on the pulse wave transit time, the pulse wave intensity ratio, and the body mass index.

8. The method according to claim 7, further comprising:

acquiring an age and/or gender of the subject to be examined; and

determining the blood pressure of the subject to be examined according to a pre-established blood pressure model based on the pulse wave transit time, the pulse wave intensity ratio, the body mass index, and the age and/or gender.

9. The method according to claim 7, further comprising:

acquiring an age and/or gender of the subject to be examined;

selecting a blood pressure model suitable for the subject to be examined from a plurality of pre-established blood pressure models according to the age and/or gender; and

determining the blood pressure of the subject to be examined according to the selected blood pressure model based on the pulse wave transit time, the pulse wave intensity ratio, and the body mass index.

10. The method according to claim 7, wherein the blood pressure model is established by:

acquiring pulse wave data, electrocardiographic data, body mass indexes and blood pressure data of a plurality of subjects to be examined, wherein the blood pressure data comprises systolic blood pressure data and diastolic blood pressure data;

determining pulse wave transit time and pulse wave intensity ratios based on the pulse wave data and the electrocardiographic data;

establishing a systolic blood pressure model indicative of a relationship between systolic blood pressures and the pulse wave transit time and the body mass indexes based on the systolic blood pressure data, the pulse wave transit time, and the body mass index, and

establishing a diastolic blood pressure model indicative of a relationship between diastolic blood pressures and the pulse wave intensity ratios and the body mass indexes based on the diastolic blood pressure data, the pulse wave intensity ratios, and the body mass indexes,

wherein the systolic blood pressure model and the diastolic blood pressure model constitute the blood pressure model.

11. An apparatus for determining a blood pressure of a subject to be examined, comprising:

a processor;

a memory configured to store instructions that, when executed by the processor, cause the processor to perform the method according to claim 7.

12. The apparatus according to claim 11, wherein the instructions, when executed by the processor, further cause the processor to:

acquire a new blood pressure model from a remote server and replace the current blood pressure model with the new blood pressure model.

13. The apparatus according to claim 11, further comprising:

a pulse wave sensor coupled to the processor and configured to measure a pulse wave of the subject to be examined; and

an electrocardiogram sensor coupled to the processor and configured to measure an electrocardiogram of the subject to be examined.

14. The apparatus according to claim 11, wherein the blood pressure model is established by:

acquiring pulse wave data, electrocardiographic data, body mass indexes and blood pressure data of a plurality of subjects to be examined, wherein the blood pressure data comprises systolic blood pressure data and diastolic blood pressure data;

determining pulse wave transit time and pulse wave intensity ratios based on the pulse wave data and the electrocardiographic data;

establishing a systolic blood pressure model indicative of a relationship between systolic blood pressures and the pulse wave transit time and the body mass indexes based on the systolic blood pressure data, the pulse wave transit time, and the body mass index, and

establishing a diastolic blood pressure model indicative of a relationship between diastolic blood pressures and the pulse wave intensity ratios and the body mass indexes based on the diastolic blood pressure data, the pulse wave intensity ratios, and the body mass indexes,

wherein the systolic blood pressure model and the diastolic blood pressure model constitute the blood pressure model.

15. An apparatus for establishing a blood pressure model, comprising:

a processor;

a memory configured to store instructions that, when executed by the processor, cause the processor to;

acquire pulse wave data, electrocardiographic data, body mass indexes and blood pressure data of a plurality of subjects to be examined, wherein the blood pressure data comprises systolic blood pressure data and diastolic blood pressure data;

determine pulse wave transit time and pulse wave intensity ratios based on the pulse wave data and the electrocardiographic data; and

establish a systolic blood pressure model indicative of a relationship between systolic blood pressures and the pulse wave transit time and the body mass indexes at least based on the systolic blood pressure data, the pulse wave transit time, and the body mass index, and establish a diastolic blood pressure model indicative of a relationship between diastolic blood pressures and the pulse wave intensity ratios and the body mass indexes at least based on the diastolic blood pressure data, the pulse wave intensity ratios, and the body mass indexes, wherein the systolic blood pressure model and the diastolic blood pressure model constitute the blood pressure model.

16. The apparatus according to claim 15, wherein the instructions, when executed by the processor, further cause the processor to:

acquire ages and/or genders of the plurality of subjects to be examined;

establish the systolic blood pressure model indicative of a relationship between the systolic blood pressures and the pulse wave transit time, the body mass indexes, and the ages and/or genders based on the systolic blood pressure data, the pulse wave transit time, the body mass indexes, and the ages and/or genders of the plurality of subjects to be examined; and

establish the diastolic blood pressure model indicative of a relationship between the diastolic blood pressures and the pulse wave intensity ratios, the body mass indexes, and the ages and/or genders based on the diastolic blood pressure data, the pulse wave intensity ratios, the body mass indexes, and the ages and/or genders of the plurality of subjects to be examined.

17. The apparatus according to claim 15, wherein the instructions, when executed by the processor, further cause the processor to:

acquire ages and/or genders of the plurality of subjects to be examined;

divide the plurality of subjects to be examined into a plurality of groups based on the ages and/or genders;

for each of the plurality of groups, establish a corresponding part of the systolic blood pressure model for the group indicative of a relationship between systolic blood pressures and pulse wave transit time and body mass indexes of subjects to be examined included in the group based on the systolic blood pressure data, the pulse wave transit time and the body mass indexes; and

for each of the plurality of groups, establish a corresponding part of the diastolic blood pressure model for the group indicative of a relationship between diastolic blood pressures and pulse wave intensity ratios, and body mass indexes of subjects to be examined included in the group based on the diastolic blood pressure data, the pulse wave intensity ratios and the body mass indexes.

18. The apparatus according to claim 15, wherein the instructions, when executed by the processor, further cause the processor to:

construct a first training set comprising the systolic blood pressure data, the pulse wave transit time and the body mass indexes of the plurality of subjects to be examined; and

determine parameters in the systolic blood pressure model by using the first training set with the pulse wave transit time and the body mass indexes being inputs of the systolic blood pressure model and the systolic blood pressure data being an output of the systolic blood pressure model;

and/or,

the instructions, when executed by the processor, further cause the processor to;

construct a second training set comprising the diastolic blood pressure data, the pulse wave intensity ratios and the body mass indexes of the plurality of subjects to be examined; and

determine parameters in the diastolic blood pressure model by using the second training set with the pulse wave intensity ratios and the body mass indexes being inputs of the diastolic blood pressure model and the diastolic blood pressure data being an output of the diastolic blood pressure model.

19. The apparatus according to claim 18, wherein the instructions, when executed by the processor, further cause the processor to:

determine the parameters using a least square regression method.

20. The apparatus according to claim 15, wherein the instructions, when executed by the processor, further cause the processor to:

construct a first test set comprising systolic blood pressure data, pulse wave transit time and body mass indexes of other subjects to be examined;

calculate systolic blood pressure data by using the systolic blood pressure model with the pulse wave transit time and the body mass indexes in the first test set; and

evaluate the systolic blood pressure model based on the calculated systolic blood pressure data and the systolic blood pressure data in the first test set;

and/or,

the instructions, when executed by the processor, further cause the processor to;

construct a second test set comprising diastolic blood pressure data, pulse wave intensity ratios and body mass indexes of other subjects to be examined;

calculate diastolic blood pressure data by using the diastolic blood pressure model with the pulse wave intensity ratios and the body mass indexes in the second test set; and

evaluate the diastolic blood pressure model based on the calculated diastolic blood pressure data and the diastolic blood pressure data in the second test set.