title: Time-frequency analysis for arrhythmia discrimination using human atrium electrogram.
abstract: Detection methods for atrial tachycardia and fibrillation on the time axis have the advantages of light operational load and are easy to apply to various applications. Despite these advantages, arrhythmia detection algorithm on the time axis cannot stand much noise such as motion artifacts, moreover the peak detection algorithm has high complexity. In this paper, we use a spectrum analysis method for the detection of atrial tachycardia and fibrillation. By applying spectrum analysis and digital filtering on obtained electrogram signals, we can diagnose cardiac arrhythmia without using peak detection algorithm.
authors.affiliation: Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul.
authors.forename: Hangsik
authors.initials: H
authors.lastname: Shin
authors.forename: Chungkeun
authors.initials: C
authors.lastname: Lee
authors.forename: Benjamin Youngmin
authors.initials: BY
authors.lastname: Choo
authors.forename: Myoungho
authors.initials: M
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D001281:Atrial Fibrillation / Q000175:diagnosis* / Q000503:physiopathology; D003199:Computer Systems; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D016002:Discriminant Analysis; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013612:Tachycardia, Ectopic Atrial / Q000175:diagnosis* / Q000503:physiopathology*; D013997:Time Factors