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Estimation method of heart rate from ballistocardiography signal based on cross-modality mapping

A ballistocardiogram and cross-modal technology, applied in the field of biomedical information processing, can solve the problem of low accuracy of heart rate estimation

Active Publication Date: 2021-05-04
XIDIAN UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies in the prior art above, and propose a method for estimating the heart rate of the ballistocardiogram signal based on cross-modal mapping, which is used to solve the technical problem of low heart rate estimation accuracy existing in the prior art

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  • Estimation method of heart rate from ballistocardiography signal based on cross-modality mapping

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[0035] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0036] refer to figure 1 , the present invention comprises steps as follows:

[0037] Step 1) collect the ballistocardiogram signal and the cardiac pulse signal:

[0038] Adopt finger clip type pulse sensor and hydraulic pressure sensor, and use f s Collect the subject’s heart pulse signal B and M ballistocardiogram signals A={A 1 ,A 2 ,...,A m ,...,A M}, where f s ≥100Hz, A m denote the mth ballistocardiogram signal, B and A m The length of each is T, where M=4, T=60000, f s = 100Hz; n and T too small will lead to a significant decrease in heart rate estimation accuracy, M, T and f s When it is too large, not only the accuracy of heart rate estimation is not significantly improved, but also the complexity of the algorithm will be greatly increased; the use of a finger-clip pulse sensor with the same sampling frequency as th...

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Abstract

The present invention proposes a method for estimating the heart rate of the ballistocardiogram signal based on cross-modal mapping, which is used to solve the technical problem of low heart rate estimation accuracy existing in the prior art. The implementation steps are: collecting the ballistocardiogram signal and heart pulse signal; filter the ballistocardiogram signal; use the periodic prior knowledge of the ballistocardiogram signal to obtain the training sample set and test sample set; construct a cross-modal mapping model based on the periodicity and amplitude characteristics of the ballistocardiogram signal; A cross-modal mapping model is trained; a peak search algorithm and an average heart rate method compute heart rate estimates from the ballistocardiogram signal. The present invention introduces the idea of ​​cross-modal mapping in the heart rate estimation problem of the ballistocardiogram signal, and uses a one-dimensional convolutional neural network to map the ballistocardiogram signal into a heart pulse signal, so as to reduce the difficulty of heartbeat detection and avoid the corresponding problems of the prior art. The problem of large differences in the ballistocardiogram signal of the same heart rate value greatly improves the accuracy of heart rate estimation.

Description

technical field [0001] The invention belongs to the technical field of biomedical information processing, and relates to a method for estimating the heart rate of a ballistocardiogram signal, in particular to a method for estimating the heart rate of a ballocardiogram signal based on cross-modal mapping, which is used for assisting human health monitoring. Background technique [0002] With the continuous improvement of living standards, more and more people pay attention to their own heart health problems. Changes in heart rhythm beyond the normal range usually indicate the occurrence of a certain disease, such as sudden cardiac death, asphyxia, arrhythmia, etc. Therefore, heart rate monitoring in daily life is of great significance for the early detection and treatment of people's own diseases. [0003] Currently, electrocardiogram (ECG) is widely used in heart rate monitoring clinically, but this requires close contact of electrodes or heart probes with the human body, w...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/11A61B5/024
CPCA61B5/024A61B5/1102
Inventor 缑水平刘源洁刘宁涛沙毓焦昶哲海栋毛莎莎程家馨
Owner XIDIAN UNIV
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