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Feature point detecting method and device, equipment and storage medium

A feature point detection and feature point technology, applied in the field of biomedical signal processing, can solve problems such as low feature point detection accuracy, and achieve the effect of solving missed detection and improving detection accuracy

Active Publication Date: 2020-09-15
INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The embodiment of the present invention provides a feature point detection method, device, equipment and storage medium, which solves the problem of low detection accuracy of feature points

Method used

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  • Feature point detecting method and device, equipment and storage medium
  • Feature point detecting method and device, equipment and storage medium
  • Feature point detecting method and device, equipment and storage medium

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Experimental program
Comparison scheme
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Embodiment 1

[0055] figure 1 It is a flowchart of a feature point detection method provided in Embodiment 1 of the present invention. This embodiment can be applied to the situation of detecting feature points from periodic physiological signals, especially suitable for detecting peak points and / or valley points from pulse wave signals, or detecting R wave peaks from electrocardiographic signals point situation. The method can be executed by the feature point detection device provided by the embodiment of the present invention, the device can be realized by software and / or hardware, and the device can be integrated on various user terminals or servers.

[0056] see figure 1 , the method of the embodiment of the present invention specifically includes the following steps:

[0057] S110. Acquire periodic physiological signals of the subject, determine the initial heart rate of the subject according to the physiological signals, and determine search parameters according to the initial hear...

Embodiment 2

[0086] Figure 4 It is a flowchart of a feature point detection method provided in Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above-mentioned technical solutions. In this embodiment, optionally, determining the search parameter according to the initial heart rate may specifically include: the search parameter k is determined by the following formula: k=O / initial heart rate, and O is pre-calculated by the following steps: according to the obtained multiple The sample signal determines the first time difference point range of the main peak and the second time difference point range of the interference peak in the plurality of sample signals; according to the first time difference point range and the second time difference point range, the relationship between the sample heart rate and k is obtained, and O is calculated according to the relational formula. Wherein, explanations of terms that are the same as or corresponding to the ab...

Embodiment 3

[0101] Figure 7 It is a structural block diagram of a feature point detection device provided in Embodiment 3 of the present invention, and the device is used to implement the feature point detection method provided in any of the above embodiments. The device and the feature point detection method of the above-mentioned embodiments belong to the same inventive concept. For the details not described in detail in the embodiment of the feature point detection device, you can refer to the above-mentioned embodiment of the feature point detection method. see Figure 7 , the device may specifically include: a search parameter determination module 310 , a second maximum point determination module 320 , a search parameter re-determination module 330 and a feature point detection module 340 .

[0102] Wherein, the search parameter determination module 310 is used to acquire the periodic physiological signal of the subject, determine the initial heart rate of the subject according to ...

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Abstract

The embodiment of the invention discloses a feature point detecting method and device, equipment and a storage medium. The method comprises the steps of obtaining periodical physiology signals of a testee, according to the physiology signals, determining the initial heart rate of the testee, and according to the initial heart rate, determining search parameters; based on a preset time sliding window detection strategy, detecting first limit valve points from the physiology signals, and if the first limit valve points are the neighbouring limit valve points in a search neighbouring region, determined by the first limit valve points and the search parameters, using the first limit valve points as second limit valve points; after the second limit valve points of a first preset number are obtained, according to the second limit valve points, calculating the target heart rate, and based on the target heart rate, determining the search parameter newly; and repeating the step for detecting the first limit valve points from the physiology signals based on the preset time sliding window detection strategy, until the physiology signal detection is complete, and according to the second limitvalve points, detecting feature points. According to the technical scheme of the embodiment of the invention, the effect of pinpoint detection of the feature point is achieved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of biomedical signal processing, and in particular to a feature point detection method, device, equipment, and storage medium. Background technique [0002] Accurate division of pulse wave cycle is an important prerequisite for accurate calculation of heart rate, heart rate variability and other indicators. The existing pulse wave cycle division scheme is based on the amplitude threshold scheme to detect the peak point or trough point in the pulse wave signal, and then according to The pulse wave period is divided by the time interval between adjacent peak points or adjacent valley points, wherein both the peak points and the valley points are characteristic points of the pulse wave signal. [0003] In the process of realizing the present invention, the inventor found the following technical problems in the prior art: the existing amplitude threshold scheme uses the maximum point in the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/024A61B5/0402A61B5/0456A61B5/00A61B5/352
CPCA61B5/02405A61B5/7203
Inventor 王磊王琳琳张晓阳
Owner INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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