The Design of a Portable ECG Detector
Hu, Wenping (2016-10-06)
The Design of a Portable ECG Detector
Hu, Wenping
(06.10.2016)
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Turun yliopisto
Kuvaus
Siirretty Doriasta
Tiivistelmä
Nowadays in worldwide, cardiovascular disease has become the biggest threat to human health. Its incidence and mortality is increasing year by year. Electrocardiogram (ECG) is an effective method to make diagnosis of patients with cardiovascular disease. The acquisition and analysis of ECG signal can prevent and treat cardiovascular diseases, which have a significate value in clinical medicine. In addition, with the development of the society, people start paying more attention to their health, and this leads to a growing demand for portable ECG detection devices. This thesis focuses on the research of R-wave detection at the beginning. Then a simple and rapid method to detect ECG is proposed. ADS1298 is used in this paper for ECG acquisition and the feasibility of this method is verified.
The ADS1298 integrates a 24-bit ΔΣ ADC with 8 channels, and all the functional modules are integrated in a small-size chip, with all the features that EEG/ECG medical systems need. It is a chip of great portability and low cost. The ECG acquisition in this paper is based on TI's ADS1298ECG-FE platform through a single-channel in different ADS1298 modes.
ECG signal is one of the important biomedical signals, which is a weak signal with low-frequency, and vulnerable to interference. There are many noises in ECG signal, such as power frequency interference, baseline drift and myoelectricity interference. By reviewing and comparing various de-noising methods, this paper designs a step by step ECG signal preprocessing scheme as following: remove power frequency interference by IIR notch filter; take DB5 as wavelet base to perform discrete wavelet transform, and decompose the ECG signal into three levels; use median filter to remove baseline drift in the signal and then get the preprocessed ECG signal.
QRS complex is the main characteristic in ECG signal. It is important because that R-wave detection influences the detection of other waveforms. In this paper, several R-wave detection methods are introduced. They are differential threshold method, template matching method and wavelet transform method. A combination of differential threshold method and template matching method is adopted as R-wave detection algorithm, which realizes the precise detection of R wave.
ECG signal preprocessing and R-wave detection is realized in this thesis based on Matlab platform. The MIT - BIH arrhythmia database and human ECG signal collected by ADS1298 are processed for demonstration.
Finally, a simple and rapid ECG detection method is discussed by introducing a reference point. Preprocess the collected ECG signals first and locate the R wave for further analysis. Statistical experiment of correlation analysis is designed to demonstrate the feasibility. And the results show that ECG acquisition system based on ADS1298 meets the test requirement and can realize the portable detection of ECG.
The ADS1298 integrates a 24-bit ΔΣ ADC with 8 channels, and all the functional modules are integrated in a small-size chip, with all the features that EEG/ECG medical systems need. It is a chip of great portability and low cost. The ECG acquisition in this paper is based on TI's ADS1298ECG-FE platform through a single-channel in different ADS1298 modes.
ECG signal is one of the important biomedical signals, which is a weak signal with low-frequency, and vulnerable to interference. There are many noises in ECG signal, such as power frequency interference, baseline drift and myoelectricity interference. By reviewing and comparing various de-noising methods, this paper designs a step by step ECG signal preprocessing scheme as following: remove power frequency interference by IIR notch filter; take DB5 as wavelet base to perform discrete wavelet transform, and decompose the ECG signal into three levels; use median filter to remove baseline drift in the signal and then get the preprocessed ECG signal.
QRS complex is the main characteristic in ECG signal. It is important because that R-wave detection influences the detection of other waveforms. In this paper, several R-wave detection methods are introduced. They are differential threshold method, template matching method and wavelet transform method. A combination of differential threshold method and template matching method is adopted as R-wave detection algorithm, which realizes the precise detection of R wave.
ECG signal preprocessing and R-wave detection is realized in this thesis based on Matlab platform. The MIT - BIH arrhythmia database and human ECG signal collected by ADS1298 are processed for demonstration.
Finally, a simple and rapid ECG detection method is discussed by introducing a reference point. Preprocess the collected ECG signals first and locate the R wave for further analysis. Statistical experiment of correlation analysis is designed to demonstrate the feasibility. And the results show that ECG acquisition system based on ADS1298 meets the test requirement and can realize the portable detection of ECG.