Title :
Detection of the Cardiovascular Diseases by Using a Linearly Modeling System with the PSO-Based Classification Scheme
Author :
Shen, Meng-Cheng ; Chen, Heng-Chou ; Chen, Chih-Hui
Author_Institution :
Dept. of Comput. & Commun. Eng., Chienkuo Technol. Univ., Changhua
Abstract :
In general, the detection of cardiovascular disease is performed by ECG, Electrocardiogram, to dynamically monitor and analyze the disease status. Additionally, ECG is also used to diagnose the latent disease to proceed with a further treatment. Therefore, it is very important to give a reasonable judgement from the ECG diagnosis information. In this paper, a linearly modeling system is presented to characterize both the measured ECG data and Blood Pressure Wave (BPW) information. After that, the PSO algorithm, Particle Swarm Optimization, is proposed to classify the frequency responses which are derived from the linear modeling system. From the simulation result, the successful hit rate for identifying the cardiovascular samples can reach to 80%. Meanwhile, the PSO training iterations can converge under an acceptable requirement.
Keywords :
biology computing; cardiovascular system; diseases; electrocardiography; medical image processing; particle swarm optimisation; ECG diagnosis information; PSO algorithm; PSO-based classification; blood pressure wave information; cardiovascular diseases; cardiovascular samples; disease status; electrocardiogram; frequency response classification; latent disease; linear modeling system; particle swarm optimisation; Biomedical monitoring; Blood pressure; Cardiac disease; Cardiology; Cardiovascular diseases; Electrocardiography; Frequency; Particle swarm optimization; Performance analysis; Pressure measurement;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.240