Wearable artery detection device and data processing method thereof

Abstract

The invention discloses a wearable artery detection device comprising an electrocardiogram sensor module, a heart sound sensor module and a pulse wave sensor module all carrying independent relative position sensors inside, as well as a health management module. The health management module is used for giving composite learning indexes. An electrocardiogram sensor is provided with at least three leads located in the lest chest cavity and is packaged in a small patch together with a heart sound sensor, and a reference position sensor is arranged in the small patch to serve as reference coordinates of the relative position sensors. A data processing method of the wearable artery detection device includes: dividing all dynamic physiological parameters obtained by calculation into multiple time windows according to rhythm of dynamic electrocardiograms, inputting high-dimensional feature vectors of the time windows into a deep learning network, and performing supervised deep learning to obtain the composite learning indexes subjected to dimension reducing processing for performing learning processing at the next step prior to obtaining final learning results.

Description

technical field [0001] The invention relates to the field of medical devices, in particular to a wearable artery detection device and a data processing method thereof. Background technique [0002] Arteriosclerosis and related vascular lesions are the main cause of cardiovascular and cerebrovascular events, and are the common pathological basis of common cardiovascular and cerebrovascular diseases such as myocardial infarction and stroke. Therefore, the degree of arteriosclerosis often reflects the potential incidence of cardiovascular diseases in the human body. Early detection of arteriosclerosis and effective treatment can slow down or even reverse the occurrence and development of cardiovascular diseases. In order to realize the early warning of the potential risk of cardiovascular diseases through the detection of arterial sclerosis, it is necessary to be able to know the functional status of arteries in real time, and then to detect the structural and functional lesion...

AI Technical Summary

Problems solved by technology

[0004] However, the existing pulse wave diagnostic instruments are complex to operate, and are only suitable for doctors to operate in hospitals; multiple physiological parameters can be detected at the same time, but it is impossible to form a comprehensive evaluation situation based on the detected parameters, and it is necessary to be diagnosed by a doctor, which is not conducive to Home use; the existing detection equipment is expensive and the system is complicated, which is not suitable for community and family promotion; the existing equipment uses a pressurized sleeve, which makes the user feel bad and is not suitable for long-term wearing, and cannot be continuous, real-time, and dynamic Detection of physiological parameters

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