A method for measuring waveform parameters of electrocardiogram based on heartbeats extraction.
- Author:
Yanjun LI
1
;
Hong YAN
;
Xianglin YANG
Author Information
1. Laboratory of Biomedical Information Processing, China Astronaut Research and Training Center, Beijing 100094, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Electrocardiography;
methods;
Heart Rate;
Humans;
Pattern Recognition, Automated;
methods;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2010;27(2):288-291
- CountryChina
- Language:Chinese
-
Abstract:
Usually all heartbeats contribute to the calculation of electrocardiogram (ECG) waveform parameters, such as amplitude and interval, in which those low signal-to-noise-ratio (SNR) heartbeats actually produce a negative effect. In this paper is presented an approach for measuring ECG waveform parameters using template-based methods. Compared with Karhunen-Loeve (KL) template, average template has an advantage over KL template both on speediness and accuracy. Experimental results proved that this approach improved the statistical precision of ECG waveform parameters. In conclusion, this method makes the result of ECG auto analysis more accurate and reliable.
