title: [The method of wavelet transformation used for extracting the characteristic of the exercise ECG].
abstract: This article introduces the basic rationale of wavelet transformation and the algorithm of typical dyadic wavelet transformation with mother wavelet of the first derivative of a Gaussian smoothing function, this wavelet transformation is used to recognize the characteristic parameters of the exercise ECG, it is concluded that this method make significant effects on restricting base line drifting and lessening noisy component in the exercise ECG, it provides a new way to do further research on characteristic recognition of the exercise ECG in the exercise test.
authors.affiliation: Xi'an Jiaotong University.
authors.forename: J
authors.initials: J
authors.lastname: Ye
authors.forename: C
authors.initials: C
authors.lastname: Zheng
authors.forename: S
authors.initials: S
authors.lastname: Guo
authors.forename: L
authors.initials: L
authors.lastname: Wang
authors.forename: Y
authors.initials: Y
authors.lastname: Huang
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D005080:Exercise Test; D005583:Fourier Analysis; D006801:Humans; D012815:Signal Processing, Computer-Assisted