Methods of program analysis of high-resolution electrocardiogram recorded using hardware-software complex based on nanosensors

Abstract

The paper aims to consider the software methods used for detection of elements of high-resolution electrocardiographic (ECG) signals recorded using a nanosensor-based hardware and software complex. To achieve the aim, the study employed the following methods: correlation analysis, bi-directional filtering, first-order derivative, and correction algorithms. For cases when the automatic detection of elements was made with an error, an additional algorithm for manual correction of QRS elements has been developed.

Keywords

• qrs complex detection
• ecg analysis
• adaptive filtering