title: [A new technique for noise reduction using adaptive wavelet shrinkage and its application to ECG denoising].
abstract: Noise reduction or cancellation is important for getting a clear and useful signal. Some signals such as Electrocardiogram (ECG) signals are nonstationary, and the noise statistical property is complicated because of the complexity Abstract Noise reduction or cancellation is important for getting a clear and useful signal. Some signals such as Electrocardiogram (ECG) signals are nonstationary, and the noise statistical property is complicated because of the complexity of the real world. In this paper, via a hybrid approach using wavelet denoising and B-Spline noise reduction, we propose a new denoising technique for the signal whose waveform morphology is important, and the details and features of the signal must be preserved after the denoising procedure. Experiments show that the technique proposed in this paper can suppress the noise and preserve the detailed features of the signal at the same time.
authors.affiliation: Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Zhao
authors.forename: Peng
authors.initials: P
authors.lastname: Guo
mesh_terms: D000465:Algorithms; D016477:Artifacts; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted