Adaptive Beat-to-Beat Heart Rate Estimation in Ballistocardiograms

被引：139

作者：

Brueser, Christoph ^{[1
]}

Stadlthanner, Kurt ^{[2
]}

de Waele, Stijn ^{[3
]}

Leonhardt, Steffen ^{[1
]}

机构：

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

[2] Philips Res Europe, D-52074 Aachen, Germany

[3] Philips Res Labs, NL-5600 JA Eindhoven, Netherlands

来源：

IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE | 2011年 / 15卷 / 05期

关键词：

Ballistocardiography (BCG); beat-to-beat heart rate estimation; clustering; BODY MOVEMENTS; RESPIRATION; SENSOR; BED;

D O I：

10.1109/TITB.2011.2128337

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A ballistocardiograph records the mechanical activity of the heart. We present a novel algorithm for the detection of individual heart beats and beat-to-beat interval lengths in ballistocardiograms (BCGs) from healthy subjects. An automatic training step based on unsupervised learning techniques is used to extract the shape of a single heart beat from the BCG. Using the learned parameters, the occurrence of individual heart beats in the signal is detected. A final refinement step improves the accuracy of the estimated beat-to-beat interval lengths. Compared to many existing algorithms, the new approach offers heart rate estimates on a beat-to-beat basis. The agreement of the proposed algorithm with an ECG reference has been evaluated. A relative beat-to-beat interval error of 1.79% with a coverage of 95.94% was achieved on recordings from 16 subjects.

引用

页码：778 / 786

页数：9

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