A robust method for QRS detection based on modified p-spectrum

In this paper, we propose a robust method based on the modi ed p-spectrum to detect heart beats in ECG signals, which is also referred as QRS detection in the literature. QRS detection is an old problem that has been studied for several decades. In the literature, there are many methods based on various forms of transformations and thresholding, which require predetermined or ne-tuned thresholds. Another class of existing methods are based on machine learning, which require carefully labeled training data. In our study, we propose the modi ed p-spectrum for QRS detection, which does not require either predetermined thresholds or training data, and can operate in real-time. The proposed method is evaluated using the MIT-BIH arrhythmia database.

• Type: Conference
• Year: 2008
• Where: ICASSP
• Authors: Peng Qiu, K. J. Ray Liu
• Keywords: ICASSP 2008, Modi Ed P-spectrum, QRS Detection, Signal Processing, Training Data