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从非标准心冲击图数据中提取J峰:一项初步研究。

J peak extraction from non-standard ballistocardiography data: a preliminary study.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:688-691. doi: 10.1109/EMBC.2016.7590795.

Abstract

In recent years, several advanced algorithms based on clustering, multi-method or data fusion approaches have been proposed to estimate heartbeat intervals from non-standard ballistocardiography (BCG) data. These advanced algorithms generally have higher computational complexity than J-peak based algorithms. This fact motivated us to study the problem of extracting J peaks from non-standard BCG data, because if this extraction can be realized, then a low-complexity J-peak based algorithm can be used to fast estimate heartbeat intervals from non-standard BCG data. We found that most of the energy in J peaks is contained in a relatively narrow frequency band, called J-peak band, and that the heartbeat harmonics outside the J-peak band can cause the non-standard BCG waveform. According to these findings, a FIR linear phase filter with the J-peak band as its pass-band is proposed. The experimental result demonstrates the ability of the proposed filter to extract J peaks from non-standard BCG data.

摘要

近年来,人们提出了几种基于聚类、多方法或数据融合方法的先进算法,用于从非标准心冲击图(BCG)数据中估计心跳间期。这些先进算法的计算复杂度通常比基于J峰的算法更高。这一事实促使我们研究从非标准BCG数据中提取J峰的问题,因为如果能够实现这种提取,那么就可以使用低复杂度的基于J峰的算法来快速从非标准BCG数据中估计心跳间期。我们发现,J峰中的大部分能量包含在一个相对较窄的频带中,称为J峰频带,并且J峰频带之外的心跳谐波会导致非标准BCG波形。基于这些发现,提出了一种以J峰频带为通带的FIR线性相位滤波器。实验结果证明了所提出的滤波器从非标准BCG数据中提取J峰的能力。

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