Pulse condition detection method based on relative intensity pulse condition theory and device

Abstract

The invention discloses a pulse condition detection method based on a relative intensity pulse condition theory. The method comprises the steps of sequentially collecting a plurality of sets of pulsecondition data through a single sensor or a plurality of sensors installed on a detection device; analyzing the pulse condition data according to the relative intensity pulse condition theory to obtain a diagnosis result; presenting the diagnosis result to a user. The invention further discloses the device for detecting the pulse condition data based on the relative intensity pulse condition theory. The device comprises a pulse condition sensor, an MCU and a client side. By means of the embodiment, the pulse condition is analyzed based on the relative intensity pulse condition theory, and thehealth condition of the body can be more accurately obtained; meanwhile, the theoretical system of the method has the advantages of being very simplified and practical, the data can be systematicallyanalyzed, health monitoring and health management schemes are combined, and the convenient and intelligent effects are achieved.

Description

technical field [0001] The invention relates to the field of pulse condition data detection, in particular to the technical field of a pulse condition detection method based on relative intensity pulse condition theory. Background technique [0002] With the acceleration of the pace of modern life, people pay more and more attention to the detection of their own health data. Pulse condition has a very long history, it is a very important health data, through the collection and analysis of pulse condition data, people's health status can be diagnosed. Therefore, the collection and analysis of pulse conditions has very far-reaching value. [0003] At present, the functions of devices for measuring health data are mostly focused on motion change monitoring and communication, and have simple functions in individual health monitoring. Existing personal health monitoring products are mostly used to detect blood pressure, blood sugar, body temperature, etc., and there are relativ...

AI Technical Summary

Problems solved by technology

Existing personal health monitoring products are mostly used to detect blood pressure, blood sugar, body temperature, etc., and there are relatively few health detection products that detect pulse conditions

Medical instruments with accurate functions, such as electrocardiogram monitors, require 12-point or 18-lead leads, which are bulky and complicated to operate, and cannot be easily carried and used correctly by ordinary people.

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