학술논문

An efficient approach for heartbeat classification
Document Type
Conference
Source
2010 Computing in Cardiology Computing in Cardiology, 2010. :991-994 Sep, 2010
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Components, Circuits, Devices and Systems
Signal Processing and Analysis
Classification algorithms
Heart beat
Electrocardiography
Computational modeling
Artificial neural networks
Mobile communication
Algorithm design and analysis
Language
ISSN
0276-6574
2325-8853
Abstract
In this paper an efficient heart beat classification algorithm for mobile devices is presented. A simplified ECG model is used for feature extraction in the time domain. QRS complex is modeled by two straight lines while P and T waves are modeled by parabolas. The T wave asymmetry is achieved using a fourth degree parabola, whereas the P wave is modeled by the second degree parabola. The model parameters are estimated using the linear least squares fitting technique.