Personalized cardiac impact signal cardiac beat detection method
The invention discloses a personalized heart beat detection method for heart impact signals, and belongs to the technical field of machine learning and time sequence signal processing. The invention provides a method for monitoring heart beats one by one by combining an MVO algorithm and a template...
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| Main Authors | , |
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| Format | Patent |
| Language | Chinese English |
| Published |
30.04.2024
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| Subjects | |
| Online Access | Get full text |
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| Abstract | The invention discloses a personalized heart beat detection method for heart impact signals, and belongs to the technical field of machine learning and time sequence signal processing. The invention provides a method for monitoring heart beats one by one by combining an MVO algorithm and a template matching algorithm to construct an optimal heart beat template to construct an optimal heart beat template to solve the problems that the effect of a heart beat detection method based on a J peak of a ballistocardiogram signal is not obvious and the accuracy rate of heart beat detection is poor due to preset parameters of a template matching method. Preliminarily detecting a heart beat segment by using the wave group characteristics of the heart impact signal and constructing a heart beat template, and performing sliding matching on the heart beat template to accurately detect the heart beat; and the MVO algorithm updates the two preset parameters of the heart beat length and the sliding step length by using the bl |
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| AbstractList | The invention discloses a personalized heart beat detection method for heart impact signals, and belongs to the technical field of machine learning and time sequence signal processing. The invention provides a method for monitoring heart beats one by one by combining an MVO algorithm and a template matching algorithm to construct an optimal heart beat template to construct an optimal heart beat template to solve the problems that the effect of a heart beat detection method based on a J peak of a ballistocardiogram signal is not obvious and the accuracy rate of heart beat detection is poor due to preset parameters of a template matching method. Preliminarily detecting a heart beat segment by using the wave group characteristics of the heart impact signal and constructing a heart beat template, and performing sliding matching on the heart beat template to accurately detect the heart beat; and the MVO algorithm updates the two preset parameters of the heart beat length and the sliding step length by using the bl |
| Author | LIN HONGBO YAN ZHIKAI |
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| Discipline | Medicine Chemistry Sciences Physics |
| DocumentTitleAlternate | 一种个性化心冲击信号心拍检测方法 |
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| RelatedCompanies | JILIN UNIVERSITY |
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| Snippet | The invention discloses a personalized heart beat detection method for heart impact signals, and belongs to the technical field of machine learning and time... |
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| Title | Personalized cardiac impact signal cardiac beat detection method |
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