Title :
A biomedical signal segmentation algorithm for event detection based on slope tracing
Author :
Kim, Jungkuk ; Kim, Minkyu ; Won, Injae ; Yang, Seungyhul ; Lee, Kiyoung ; Huh, Woong
Author_Institution :
Electron. Eng. Dept., Myongji Univ., Yongin, South Korea
Abstract :
In this paper a simple signal segmentation algorithm is introduced. The algorithm determines the epochs of signal components of interest based on signal characteristic such as amplitude, slope, deflection width, or distance between neighboring deflections. The epochs are segmented indirectly by means of a slope trace wave that traces a signal with its average slope and predetermined delay. The algorithm is applied to ECG and electrogram to show its practical applicability and efficiency. It is found that the algorithm can be used to choose particular signal components appropriately without significant signal preprocessing or complexity.
Keywords :
electrocardiography; medical signal detection; medical signal processing; ECG; biomedical signal segmentation algorithm; electrogram; event detection; signal amplitude; signal deflection width; slope tracing; Algorithms; Data Compression; Electrocardiography; Heart Atria; Humans; Image Enhancement; Models, Statistical; Nerve Net; Pattern Recognition, Automated; Signal Transduction;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5333874