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Cardiovascular index detection and model training method and device

A cardiovascular and index technology, applied in the field of intelligent medical care, can solve the problems of single detection method and poor accuracy of cardiovascular index

Active Publication Date: 2019-04-16
天津惊帆科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this detection method is too single. For the cardiovascular conditions of users with great differences, only relying on the matching of the feature points in the preset healthy PPG signal, the accuracy of the cardiovascular index obtained is poor.

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  • Cardiovascular index detection and model training method and device
  • Cardiovascular index detection and model training method and device
  • Cardiovascular index detection and model training method and device

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Embodiment Construction

[0140] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0141] It should be noted that the terms "include" and "have" and any variations thereof in the embodiments of the present invention and the drawings are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally further includes For other steps or units inher...

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Abstract

An embodiment of the invention discloses a cardiovascular index detection and model training method and device. The method comprises acquiring collected photoplethysmographic (PPG) signals of an object to be detected; determining each cardiac cycle in the PPG signals, and performing feature extraction on the signal corresponding to each cardiac cycle based on a pre-trained convolutional neural network (CNN) to obtain a feature vector of each cardiac cycle; regressing each feature vector based on a preset cardiovascular index function to obtain a cardiovascular index corresponding to each cardiac cycle; determining a cardiovascular index of the object to be detected according to the cardiovascular index corresponding to each cardiac cycle, wherein the CNN is obtained by conducting trainingusing a sample cardiac cycle and the corresponding standard cardiovascular index, and the cardiovascular index is used for indicating the cardiovascular health. The method and device can improve the detection accuracy of the cardiovascular index.

Description

technical field [0001] The present invention relates to the field of intelligent medical technology, in particular to a cardiovascular index detection and model training method and device. Background technique [0002] The incidence of cardiovascular and cerebrovascular diseases and the resulting mortality rate are very high in the Chinese population, and cardiovascular and cerebrovascular diseases have become one of the diseases with the highest mortality in the world. Arteriosclerosis accounts for the main part in cardiovascular and cerebrovascular diseases, so it is of great significance to monitor and prevent arteriosclerosis. [0003] The pulse wave contains a wealth of physiological and pathological information. If the information in the pulse wave can be fully mined, the relationship between pulse wave information and cardiovascular physiology and pathology can be explored, so as to establish a non-invasive cardiovascular system based on pulse wave. Monitoring of ind...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/024A61B5/00G06K9/62
CPCA61B5/02416A61B5/02433A61B5/6803A61B5/681A61B5/6898A61B5/7235G06F18/24G06F18/214
Inventor 张进东丁立明崔久莉
Owner 天津惊帆科技有限公司
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