tailieunhanh - Báo cáo hóa học: " Research Article Hardware Implementation of a Modified Delay-Coordinate Mapping-Based QRS Complex Detection Algorithm"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Hardware Implementation of a Modified Delay-Coordinate Mapping-Based QRS Complex Detection Algorithm | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 57286 13 pages doi 2007 57286 Research Article Hardware Implementation of a Modified Delay-Coordinate Mapping-Based QRS Complex Detection Algorithm Matej Cvikl 1 Franc Jager 2 and Andrej Zemva3 1 Iskra Sistemi . Stegne21 1000 Ljubljana Slovenia 2 Laboratory of Biomedical Computer Systems and Imaging Faculty of Computer and Information Science University of Ljubljana Trzaska25 1000 Ljubljana Slovenia 3 Laboratory for Integrated Circuit Design Faculty of Electrical Engineering University of Ljubljana Trzaska 25 1000 Ljubljana Slovenia Received 30 April 2006 Revised 23 January 2007 Accepted 23 January 2007 Recommended by David Hamilton We present a modified delay-coordinate mapping-based QRS complex detection algorithm suitable for hardware implementation. In the original algorithm the phase-space portrait of an electrocardiogram signal is reconstructed in a two-dimensional plane using the method of delays. Geometrical properties of the obtained phase-space portrait are exploited for QRS complex detection. In our solution a bandpass filter is used for ECG signal prefiltering and an improved method for detection threshold-level calculation is utilized. We developed the algorithm on the MIT-BIH Arrhythmia Database sensitivity of and positive predictivity of and tested it on the long-term ST database sensitivity of and positive predictivity of . Our algorithm outperforms several well-known QRS complex detection algorithms including the original algorithm. Copyright 2007 Matej Cvikl et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Detecting QRS complexes is the most important task in electrocardiogram ECG signal analysis. Physiological variability of QRS