The problem of the cardiac signal extraction from a low-amplitude high-frequency component invisible on conventional electrocardiography (ECG) is considered. For this purpose, the original ECG model, which includes a highamplitude component, a low-amplitude component, and random noise, is used. We have proposed the method to extract the orthogonal high-amplitude and low-amplitude components from the recorded cardiac pulse sequence in the form of the first two components of the matrix singular decomposition composed of a set of cardiac pulses. In contrast to Simson's method, the proposed method does not assume cardiac signal averaging over a large (about several hundred cardiac pulses) sequence as well as the averaged signal filtering. The low-amplitude component is extracted from a short (about 10 s) ECG recording. We have used a mathematical model to examine the stability of the proposed method to the correlation of the high-amplitude and low-amplitude components of the cardiac signal as well as to the influence of random noise. It is shown that the high-amplitude component is steadily extracted in the entire range of the change in noise level and correlation of the regular components of the cardiac signal. At the same time, the low-amplitude component is significantly distorted when the pair correlation coefficient with the high-amplitude component is greater than 0.2 or noise level is greater than 0.4.
|Журнал||European Journal of Physical and Health Education|
|Состояние||Опубликовано - 2014|
ASJC Scopus subject areas
- Physical Therapy, Sports Therapy and Rehabilitation
- Orthopedics and Sports Medicine