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Heart rate estimation method and device for wearable heart rate monitoring equipment

A heart rate monitoring and heart rate technology, applied in the field of biomedical signal processing, can solve problems such as excessive dependence on rules and unstable performance, and achieve the effect of high heart rate accuracy and low computational complexity

Active Publication Date: 2016-09-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, the heuristic method has the shortcomings that the rules are too dependent on artificial settings and the parameters can be adjusted at will, which will lead to unstable detection performance

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  • Heart rate estimation method and device for wearable heart rate monitoring equipment
  • Heart rate estimation method and device for wearable heart rate monitoring equipment
  • Heart rate estimation method and device for wearable heart rate monitoring equipment

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Embodiment Construction

[0038] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0039] see figure 1 , 2, The wearable heart rate monitoring device of the present invention includes a signal acquisition unit, a signal preprocessing unit, a signal denoising unit, a heart rate calculation unit and an output unit.

[0040] Wherein, the signal acquisition unit includes a photoplethysmography sensor and a motion sensor, which are used to collect source signals (including the original pulse wave signal and the original motion signal of the subject in motion. The source signal used in this embodiment is obtained by photoelectric The sensor and the three-axis acceleration sensor are collected on the wrist of the subject, and the signal sampling frequency is 125Hz), and input to the signal preprocessing unit for signal prepr...

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Abstract

The invention discloses a heart rate estimation method and device for wearable heart rate monitoring equipment. The heart rate estimation method mainly includes: removing motion artifact and tracking heart rate spectrum peak, where motion artifact removing includes: utilizing a nonlinear self-adaptive filter method to capture a nonlinear relation between noise reference signals and motion artifact noise in pulse wave signals so as to effectively eliminate motion artifact interference, adopting a binary decision-making method based on classification to judge whether filtered pulse wave signals still contain a lot of noise or not, and adopting a singular spectrum analysis method to further eliminate noise interference of the pulse wave signals still containing noise; heart rate spectrum peak tracking based on frequency spectra includes: positioning heart rate spectrum peak of each time window, namely positioning the heart rate spectrum peak on the basis of a nonlinear positioning method, and positioning the heart rate spectrum peak on the basis of a classification positioning method if the nonlinear positioning method fails. The heart rate estimation method is used for heart rate estimation and is high in calculating accuracy and low in complexity, so that enforceability of the wearable monitoring equipment is guaranteed.

Description

technical field [0001] The invention relates to the field of biomedical signal processing, in particular to a heart rate estimation method and device for wearable heart rate monitoring equipment. Background technique [0002] Heart rate is a very important indicator of human physiological parameters. At the same time, heart rate can also be used as an effective reference for the objective assessment of human exercise physiological load. Heart rate monitoring based on wearable devices is an important and effective means to control the intensity of human exercise. [0003] At present, there are mainly two methods for heart rate monitoring. One is the traditional heart rate monitoring based on ECG signals. This method requires several electrodes to simultaneously collect physiological electrical signals in different parts of the human body, and then calculate the Heart rate, which is the most commonly used method in clinical medicine. However, its disadvantage is that the acti...

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Application Information

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IPC IPC(8): A61B5/024A61B5/11
CPCA61B5/02416A61B5/11A61B5/6802A61B5/721A61B5/7225A61B5/7235A61B5/725
Inventor 叶娅兰何文文程云飞侯孟书张宇潘郎平徐海津陈天祥
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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