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Research on acquisition and analysis of ECG signal based on LabVIEW and HHT
Author: AnJiaZuo
Tutor: SunJing; WangWeiLian
School: Yunnan University
Course: Circuits and Systems
Keywords: ECG LabVIEW HHT EMD
CLC: TN911.7
Type: Master's thesis
Year: 2012
Downloads: 79
Quote: 1
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Abstract
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Recently, Cardiovascular disease is one of the most dangerous threats to human health. The application of dynamic electrocardiogram (DCG) is essential for the clinical diagnosis of cardiovascular disease that has great significance for exact diagnosis. However, analysis of electrocardiogram is mainly depend on public health workers professional background knowledge of subjective judgement make electrocardiogram is provided with subjectivity at present. Therefore, electrocardiogram automatic diagnosis technology is of great social value.Detection of ECG signal waveform is the key in electrocardiogram automatic diagnosis technology. The detection of QRS complex is the primary issue.LabVIEW has excellent control interface, and in field of test and mesurement has its advantage. Hilbert—Huang transform in nonlinear, the non-stationary signal processing has its advantages. Hilbert—Huang transform consist of empirical mode decomposition (EMD) and Hilbert spectral analysis two part.In this paper, a platform by calling LabVIEW dynamic link library read data in the USB, and complete the data collection, read, save, etc. And using the system collected many cases clinical ecg data. And then, the MATLAB script node in LabVIEW call m language to complete the writing of the waveform detection algorithm. EMD take advantage of the conversion of HHT to break electrocardiogram signal into limited intrinsic mode function adaptively. Then constructed respectively to QRS complex and P.T wave detection signal detection. EMD use corresponding relation of modulus maxima and QRS complex,P. T wave, the paper realize their detection, realize detection for them. EMD use MIT_BIH arrhythmia database and collected clinical cases in the algorithm was validated, proves the feasibility and efficiency of the algorithm.
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