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An adaptive multi-modal fusion pulse position precise positioning method

A precise positioning, multi-modal technology, applied in applications, medical science, diagnosis, etc., can solve problems such as inability to accurately locate and adapt to scene changes, and achieve the effect of eliminating pulse position differences

Active Publication Date: 2022-02-18
FUDAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention is carried out in order to solve the above problems, and the purpose is to provide an adaptive multi-modal fusion pulse position precise positioning method, which integrates machine vision and iPPG physiological signals, and uses convolutional neural network to train the model, aiming to solve the single Modal sensing cannot adapt to scene changes and cannot be accurately positioned
When the sensor is far away, the output of iPPG is more consistent with the tag, which solves the problem of precise positioning of the adaptive pulse position

Method used

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  • An adaptive multi-modal fusion pulse position precise positioning method

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Embodiment Construction

[0027] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the following embodiments will specifically explain the pulse position precise positioning method of adaptive multi-modal fusion of the present invention in conjunction with the accompanying drawings.

[0028] figure 1 It is a flow chart of a method for accurately locating a pulse position by adaptive multimodal fusion in an embodiment of the present invention.

[0029] Such as figure 1 As shown, an adaptive multi-sensor fusion technology pulse position precise positioning method is characterized in that the multi-modal fusion of machine vision, biological signals, and deep learning architecture, the specific steps are as follows:

[0030] Step S1, set up a data acquisition system, place the camera vertically above the experimenter’s wrist, set the frame rate to 40fps, control the distance at 5, 15, 20, 25, 30, 35, 40cm, continuously collect ...

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Abstract

The present invention relates to an adaptive multi-modal fusion pulse position precise positioning method, using machine vision, biological signals and multi-modal fusion technology of deep learning architecture, including the following steps: step S1, building a data acquisition system, using a camera to Take photos at the wrist pulse of volunteers to obtain multiple wrist pulse photos; step S2, perform pixel processing on the RGB three-channel pixels of multiple wrist pulse photos to obtain the fourth PPG signal, and then process the fourth PPG signal to obtain iPPG signal; step S3, the iPPG signal is processed by a model to obtain the wrist pulse.

Description

technical field [0001] The invention relates to the field of biological signal detection, in particular to an adaptive multi-modal fusion pulse position precise positioning method. Background technique [0002] Pulse diagnosis is a key link in TCM diagnosis. The "cun", "guan" and "ruler" usually detected are the pulse information of the radial artery. TCM doctors can find the location and palpate with experience. [0003] The existing Chinese medicine auxiliary diagnostic equipment still needs human positioning, even through the machine vision detection method, it only realizes the position calibration by identifying the wrist and calculating the relative position of the "gate" and the reference point. The following problems cannot be eliminated: [0004] 1. In the process of human-computer interaction, the robot recognizes human body parts, continuously tracks the target, and the robot behavior adaptive communication and control problems in the dynamic interaction process....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/02
CPCA61B5/02A61B5/0077A61B5/489A61B5/7246A61B5/7253
Inventor 罗静静欧阳春林锋路红郭玉柱
Owner FUDAN UNIV