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CN-122004797-A - Method and device for evaluating coronary heart disease risk

CN122004797ACN 122004797 ACN122004797 ACN 122004797ACN-122004797-A

Abstract

The application provides a method and a device for evaluating coronary heart disease risk, and relates to the technical field of terminals. The method comprises the steps of obtaining first electrocardiogram data in a first time period, obtaining second electrocardiogram data and/or second pulse wave data in a second time period, wherein the duration of the second time period is longer than that of the first time period, determining a coronary heart disease risk assessment result according to the first data, wherein the first data comprises the first electrocardiogram data, the second electrocardiogram data and/or the second pulse wave data, and the second pulse wave data comprises pulse wave data of a user in a sleep state and pulse wave data of the user in a non-sleep state. The method provided by the embodiment of the application can improve the accuracy of coronary heart disease risk assessment, thereby improving the user experience.

Inventors

  • REN HUICHAO
  • ZHAO SHUAI
  • XU TENG
  • Kang Dainan
  • HUANG LIZHE
  • CAO YU

Assignees

  • 华为技术有限公司

Dates

Publication Date
20260512
Application Date
20250827

Claims (20)

  1. 1. A method of assessing coronary heart disease risk, comprising: Acquiring first electrocardiogram data during a first period of time; Acquiring second electrocardiogram data and/or second pulse wave data in a second period of time, wherein the duration of the second period of time is longer than that of the first period of time; Determining a coronary heart disease risk assessment result according to first data, wherein the first data comprises the first electrocardiogram data, the second electrocardiogram data and/or the second pulse wave data; the second pulse wave data comprise pulse wave data of a user in a sleep state and pulse wave data of the user in a non-sleep state.
  2. 2. The method of claim 1, wherein the second electrocardiogram data comprises electrocardiogram data of the user in a sleep state and electrocardiogram data of the user in a non-sleep state.
  3. 3. The method according to claim 1 or 2, wherein the first electrocardiogram data is static electrocardiogram data and the second electrocardiogram data is dynamic electrocardiogram data.
  4. 4. A method according to any one of claims 1 to 3, wherein the acquiring first electrocardiographic data at a first time period comprises: Acquiring the first electrocardiogram data and the first pulse wave data in the first period; Wherein the first data further includes the first pulse wave data.
  5. 5. The method according to any one of claims 1 to 4, further comprising: Outputting first information when detecting that the user moves within the second period, wherein the first information is used for reminding the user to carry out electrocardiogram measurement after the user completes the movement; acquiring third electrocardiogram data after the user has completed the exercise; Wherein the first data further comprises the third electrocardiogram data.
  6. 6. The method according to any one of claims 1 to 4, further comprising: Outputting second information at a preset time within the second period, wherein the second information is used for reminding the user of carrying out electrocardiogram measurement; acquiring fourth electrocardiogram data during the second time period; Wherein the first data further comprises the fourth electrocardiogram data.
  7. 7. The method according to any one of claims 1 to 6, further comprising: and outputting third information, wherein the third information is used for indicating the progress of coronary heart disease risk assessment.
  8. 8. The method of claim 7, wherein outputting the third information comprises: And outputting the third information at the first moment after the user falls asleep.
  9. 9. The method of claim 8, wherein the third information is further used to indicate one or more of whether the user is wearing during sleep to meet a criterion, a current overall assessment progress percentage, and an estimated remaining wear duration.
  10. 10. The method of claim 7, wherein outputting the third information comprises: And outputting the third information at a second moment before the user falls asleep.
  11. 11. The method of claim 10, wherein the third information is further used to indicate one or more of whether the user is wearing the wearable device during non-sleep, indicating an estimated remaining wear period, prompting the user to wear the wearable device during sleep.
  12. 12. The method according to any one of claims 1 to 11, further comprising: Outputting fourth information for suggesting the user to carry out coronary heart disease risk assessment again under the condition that the estimated user cannot complete coronary heart disease risk assessment.
  13. 13. The method according to any one of claims 1 to 12, further comprising: acquiring fifth electrocardiogram data and/or third pulse wave data in a third period of time; wherein the second period is located after the first period, the third period is located after the second period or the third period is located within the second period, and the first data further includes the third electrocardiogram data and/or the third pulse wave data.
  14. 14. The method according to any one of claims 1 to 13, further comprising: acquiring second data input by the user, wherein the second data is used for evaluating the health condition of the user; wherein the first data further comprises the second data.
  15. 15. The method of claim 14, wherein the second data comprises one or more of the following information: whether there is a history of coronary heart disease, whether there is a history of cardiovascular and cerebrovascular disease, whether there is hypertension, whether there is hyperlipidemia, whether there is hyperglycemia, whether there is hyperuricemia, whether there is chest distress, and whether there is chest pain.
  16. 16. The method of claim 14, wherein the method further comprises: performing waveform analysis on the first electrocardiogram data to obtain waveform characteristics of the first electrocardiogram data; Outputting fifth information indicating waveform characteristics of the first electrocardiographic data; wherein the coronary heart disease risk assessment result includes waveform characteristics of the first electrocardiographic data.
  17. 17. The method of claim 14, wherein the coronary heart disease risk assessment result comprises a risk level of coronary heart disease for the user.
  18. 18. The method according to any one of claims 1 to 17, further comprising: Acquiring motion data of the user and/or physiological data of the user in a resting state in the second period; Wherein the first data further comprises the movement data and/or the physiological data.
  19. 19. An apparatus for assessing coronary heart disease risk, comprising means or units for performing the method of any one of claims 1 to 18.
  20. 20. An apparatus for assessing coronary heart disease risk, comprising a processor and a memory for storing a computer program which, when executed by the processor, causes the apparatus to perform the method of any one of claims 1 to 18.

Description

Method and device for evaluating coronary heart disease risk Technical Field The application relates to the technical field of terminals, in particular to a method and a device for evaluating coronary heart disease risk. Background Coronary atherosclerotic heart disease (coronary atherosclerotic HEART DISEASE) is a chronic disease caused by atherosclerosis at coronary artery, and the coronary heart disease may cause myocardial infarction and sudden cardiac death, which is a disease with higher risk. There are many methods for detecting coronary heart disease, such as electrocardiographic examination, blood parameter examination, coronary computed tomography (computed tomography, CT) examination, and coronary angiography. However, all the methods need to be checked in hospitals, and home measurement cannot be achieved, wherein some methods are complex to operate, and some methods are invasive and have a certain risk. Disclosure of Invention The application provides a method and a device for evaluating coronary heart disease risk, which can improve user experience. In a first aspect, there is provided a method of assessing coronary heart disease risk comprising: The method comprises the steps of acquiring first electrocardiogram data in a first period, acquiring second electrocardiogram data and/or second pulse wave data in a second period, wherein the duration of the second period is longer than that of the first period, determining a coronary heart disease risk assessment result according to the first data, and the first data comprise the first electrocardiogram data, the second electrocardiogram data and/or the second pulse wave data, wherein the second pulse wave data comprise pulse wave data of a user in a sleep state and pulse wave data of the user in a non-sleep state. In the embodiment of the application, the first electrocardiogram data is acquired in the first period, the second electrocardiogram data and/or the second pulse wave data are acquired in the second period, and the coronary heart disease risk assessment result is determined according to the first electrocardiogram data, the second electrocardiogram data and/or the second pulse wave data. Meanwhile, the time length of the second period is longer than that of the first period, and the second electrocardiographic data comprises electrocardiographic data of the user in a sleep state and electrocardiographic data of the user in a non-sleep state, so that the accuracy of coronary heart disease risk assessment can be further improved by combining data obtained through short-time measurement (such as the first electrocardiographic data) with data obtained through long-time measurement (such as the second electrocardiographic data and/or the second pulse wave data) and electrocardiographic data of the user in the sleep state and the non-sleep state to determine coronary heart disease risk assessment results, and user experience can be further improved. In addition, the method in the embodiment of the application can improve the convenience of coronary heart disease risk assessment without the help of professional medical equipment, thereby improving the user experience. In some possible implementations, the second electrocardiographic data includes electrocardiographic data of the user in a sleep state and electrocardiographic data of the user in a non-sleep state. In the embodiment of the application, the second electrocardiographic data comprises electrocardiographic data of the user in a sleep state and electrocardiographic data of the user in a non-sleep state, so that the accuracy of coronary heart disease risk assessment can be further improved by combining electrocardiographic data of the user in the sleep state and the non-sleep state in the process of determining the coronary heart disease risk assessment result, and further user experience can be improved. In some possible implementations, the first electrocardiogram data is static electrocardiogram data and the second electrocardiogram data is dynamic electrocardiogram data. In the embodiment of the application, the first electrocardiogram data are static electrocardiogram data, and the second electrocardiogram data are dynamic electrocardiogram data, so that the static electrocardiogram data and the dynamic electrocardiogram data are combined in the process of determining the coronary heart disease risk assessment result, the accuracy of coronary heart disease risk assessment can be improved, and the user experience can be improved. In some possible implementations, the acquiring the first electrocardiogram data during the first period of time includes: And acquiring the first electrocardiogram data and the first pulse wave data in the first period, wherein the first data also comprises the first pulse wave data. In the embodiment of the application, the first electrocardiogram data and the first pulse wave data are acquired in the first period, so that the accuracy of coronary heart