Novel method for real-time detection of QRS complex in the presence of strong noise

Author(s):  
M. Neelakantan ◽  
P. Janardhanan
Author(s):  
Santipriya N ◽  
Venkateswara Rao M ◽  
Arun V ◽  
R Karthik

<p>Real-time detection of R peaks in QRS complex of ECG signal is the first step in the processing of ECG waveform. Based on this, various other ECG parameters can be extracted. These parameters provide substantial information about various heart diseases. In this paper, we are proposing a method to detect R – peaks of ECG signal dynamically. The most prominent role in the R – peak detector is executed by the microcontroller. This method originates by acquiring signal from the subject and necessary pre-processing is carried out on the signal in order to achieve the denoised signal. Subsequently, this filtered signal is handed over to microcontroller where a pulse is generated for each R – peak that is found in the QRS complex of ECG signal. The microcontroller is embedded with a signal processing algorithm. The algorithm used to determine the R – peaks is double differentiation method which is straightforward and robust.  </p>


Author(s):  
Fuen Chen ◽  
◽  
Xiaoming Liang ◽  
Longhan Chen ◽  
Baoyuan Liu ◽  
...  

Author(s):  
Fatima Yasmeen ◽  
Mohammad Arifuddin Mallick ◽  
Yusuf Uzzaman Khan

<p><span lang="EN-IN">This paper presents a novel method for QRS detection. To accomplish this task ECG signal was first filtered by using a third order Savitzky Golay filter. The filtered ECG signal was then preprocessed by a Wavelet based denoising in a real-time fashion to minimize the undefined noise level. R-peak was then detected from denoised signal after wavelet denoising. Windowing mechanism was also applied for finding any missing R-peaks. All the 48 records have been used to test the proposed method. During this testing, 99.97% sensitivity and 99.99% positive predictivity is obtained for QRS complex detection.</span></p>


2012 ◽  
Author(s):  
Anthony D. McDonald ◽  
Chris Schwarz ◽  
John D. Lee ◽  
Timothy L. Brown

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