Model-Based Verification of a Non-Linear Separation Scheme for Ballistocardiography

被引：22

作者：

Yao, Yu ^{[1
,2
]}

Brueser, Christoph ^{[3
]}

Pietrzyk, Uwe ^{[2
,4
]}

Leonhardt, Steffen ^{[3
]}

van Waasen, Stefan ^{[1
]}

Schiek, Michael ^{[1
]}

机构：

[1] Res Ctr Julich, Cent Inst ZEA Elect Syst 2, D-52425 Julich, Germany

[2] Univ Wuppertal, Dept Math & Nat Sci, D-42119 Wuppertal, Germany

[3] Rhein Westfal TH Aachen, Helmholtz Inst Biomed Engn, Philips Chair Med Informat Technol, D-52074 Aachen, Germany

[4] Res Ctr Julich, Inst Neurosci & Med INM 4, D-52425 Julich, Germany

来源：

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS | 2014年 / 18卷 / 01期

关键词：

Ballistocardiography (BCG); biomedical signal processing; nonlinear filters; source separation; NOISE-REDUCTION; HEART-RATE; SIGNALS; ELECTROCARDIOGRAM; PROJECTIONS; SYSTEM;

D O I：

10.1109/JBHI.2013.2261820

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The current rise in popularity of ballistocardiography-related research has led to the development of new sensor concepts and recording methods. Measuring the ballistocardiogram using bed mounted pressure sensors opens up new possibilities for home monitoring applications. The signals measured with these sensors contain a mixture of cardiac and respiratory components, which can be used for detection of comorbidities of heart failure like apnea or arrhythmia. However, the separation of the cardiac and respiratory components has proven to be difficult, since there is significant overlap in the spectra of both components. In this paper, an algorithm for the separation task is presented, which can overcome the problem of overlapping spectra. Additionally, a model has been developed for the generation of artificial ballistocardiograms, which are used to analyze the separation performance. Furthermore, the algorithm is tested on preliminary data from a clinical study.

引用

页码：174 / 182

页数：9

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