Ballistocardiography Signal Processing by Wavelet Transform

被引：0
|
作者：
Martinek, Radek [1 ]
Jaros, Rene [1 ]
Bilik, Petr [1 ]
Lancova, Jana [1 ]
Fajkus, Marcel [2 ]
Nedoma, Jan [2 ]
机构：
[1] VSB Tech Univ Ostrava, Fac Elect Engn & Comp Sci, Dept Cybernet & Biomed Engn, Ostrava, Czech Republic
[2] VSB Tech Univ Ostrava, Fac Elect Engn & Comp Sci, Dept Telecommun, Ostrava, Czech Republic
来源：
2018 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS (IS) | 2018年
关键词：
Ballistocardiography; Wavelet Transform; Signal-to-Noise Ratio; HEART-RATE;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work deals with ballistocardiography signal (BCG) processing by wavelet transform (WT). BCG signals were obtained by generating an ideal synthetic waveform with the addition of certain noise and by measuring real data using a three axis accelerometer attached to the chest of the subject under test. The experiment conducted in MATLAB was based on an attempt to change the WT parameter settings and to determine the output signal-to-noise ratio (SNR). The results showed that sym4 and coifl and the ideal decomposition degree 6 were determined as the most appropriate wavelet. In addition to the SNR assessment, heart rate (HR) determination and subjective observation of the resulting waveforms were performed.
引用
收藏
页码：45 / 49
页数：5
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