title: Multiple ECG beats recognition in the frequency domain using grey relational analysis.
abstract: This paper proposes a method for multiple ECG beats recognition using novel grey relational analysis (GRA). Converts each QRS complex to a Fourier spectrum from ECG signals, the spectrum varies with the rhythm origin and conduction path. The variations of power spectra are observed in the range of 0 Hz-20 Hz in the frequency domain. According to the frequency-domain parameters, GRA performs to recognize the cardiac arrhythmias including the supraventricular ectopic beat, bundle branch ectopic beat, ventricular ectopic beat, and fusion beat. The method was tested on MIT-BIH arrhythmia database. The results demonstrate the efficiency of the proposed non-invasive method, and also show high accuracy for detecting electrocardiogram (ECG) signals.
authors.affiliation: Dept. of Electr. Eng., Kao-Yuan Univ., Kaohsiung 821, Taiwan.
authors.forename: Chia-Hung
authors.initials: CH
authors.lastname: Lin
authors.forename: Yi-Chun
authors.initials: YC
authors.lastname: Du
authors.forename: Yung-Fu
authors.initials: YF
authors.lastname: Chen
authors.forename: Tain-Song
authors.initials: TS
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D018879:Ventricular Premature Complexes / Q000175:diagnosis* / Q000503:physiopathology*