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ECG detection algorithm

Author: ZhangFei
Tutor: HeJiShan
School: Central South University
Course: Biomedical Engineering
Keywords: ECG (ECG) ECG detection Wavelet Analysis Wavelet Neural Network
CLC: R318
Type: Master's thesis
Year: 2005
Downloads: 490
Quote: 7
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Abstract


Cardiovascular disease is one of the major diseases that threaten human life , and the ECG (electrocardiogram, ECG) is the main basis of the evaluation of cardiac function , Therefore , the research on the detection processing of the ECG has been to all parties concerned . With the advances in computer technology , the methods used also being improved . ECG by the effect of rendering the complex morphology of the physiological state , and individual differences also vary widely, the ECG random interference of the measurement system will be coupled to the degradation of the ECG waveform . ECG from the perspective of signal processing has the following properties : a quasi- periodic signal ; 2 low-frequency narrow-band signals , the biological mechanisms of cardiac decided the ECG spectral distribution in the range of 0.5 ~ 50Hz ; 3 non-stationary signals , heart stroke by the combined effects of various physiological state ; 4 nonlinear time-varying signal . ECG signal detection caused some difficulties ! Firstly, a brief overview of the current situation of the ECG waveform detection processing algorithms , and currently has some ECG detection algorithm are compared , they are each representative several algorithms describe , analyze its characteristics and inadequacies . For the lack of detection processing algorithm of the ECG in the past , the ECG detection algorithm based on wavelet neural network . Wavelet neural network algorithm has the characteristics of self-learning adaptive , real-time updates to the heart beat waveform morphology information . Four parameters and then select the article detection by MIT / BIH ECG database data, experimental studies have shown that the sensitivity of detection accuracy and atrial fibrillation up to 99.51% and 96.84% , respectively , feature detection algorithm can not be achieved . Detection rule because of its characteristics , the algorithm in the analysis speed has reached a satisfactory result.

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CLC: > Medicine, health > Basic Medical > Medical science in general > Biomedical Engineering
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