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Noise detection method and device

A noise detection and variance technology, applied in the field of signal analysis, can solve problems affecting the accuracy and reliability of the analysis results of human physiological signs, and achieve the effect of improving accuracy and reliability and reducing noise interference

Active Publication Date: 2021-03-23
ANHUI HUAMI INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, this application provides a noise detection method and device to solve the problem that the noise filtering method in the related art still affects the accuracy and reliability of the analysis results of human physiological signs

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Embodiment Construction

[0027] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0028] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term...

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Abstract

The present application provides a noise detection method and device. The method includes: segmenting the collected PPG signal to obtain a plurality of sub-signal segments; extracting the characteristics of each sub-signal segment; The self-similarity of the sub-signal segment on the PPG signal, if the self-similarity is lower than the threshold, it is determined that the sub-signal segment is noise. By dividing the PPG signal into sub-signal segments, using the characteristics of the sub-signal segments to determine the self-similarity of the sub-signal segments, and judging whether the sub-signal segments are noise. Therefore, different types of noise can be detected through the self-similarity of the signal, and noise interference can be reduced. And because the signals generated by the human body in a relatively short period of time have good self-similarity, the obtained effective signals whose self-similarity is higher than the threshold also conform to the actual characteristics of human physiological signs, and can be used to accurately analyze the data of human physiological signs.

Description

technical field [0001] The present application relates to the field of signal analysis, in particular to a noise detection method and device. Background technique [0002] At present, the analysis of human physiological signs through wearable devices for medical health monitoring and diagnosis is becoming more and more widespread. Among them, wearable devices collect PPG signals through PPG (Photo PlethysmoGraphy, photoplethysmography) sensors, and analyze human physiological signs based on the collected PPG signals. Therefore, it can be seen that the quality of PPG signals is the key to the accuracy of the analysis results of human physiological signs. factor. However, due to interference from factors such as the wearer's skin characteristics, contact distance, ambient light conditions, and body movements, noise will be introduced during the PPG signal acquisition process, which will reduce the quality of the PPG signal. [0003] In related technologies, in order to impro...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/02
CPCA61B5/0059A61B5/02A61B5/7203A61B5/02416A61B5/681A61B5/7207A61B5/7246
Inventor 朱国康赵威汪孔桥
Owner ANHUI HUAMI INFORMATION TECH CO LTD
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