- Abstract:
-
Accurate performance metrics for removing noise from the electrocardiogram (ECG) are difficult to define due to the inherently complicated nature of the noise and the absence of knowledge about the underlying dynamical processes. By using a previously published model for generating realistic artificial ECG signals and adding both stochastic and deterministic noise, a method for assessing the performance of noise reduction techniques is presented. Independent component analysis (ICA) and nonli...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1117/12.548726
-
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- Volume:
- 5467
- Pages:
- 78-88
- Publication date:
- 2004
- DOI:
- ISSN:
-
0277-786X
- URN:
-
uuid:8c85fce3-dc0d-42a1-845f-2d793164a82c
- Source identifiers:
-
64620
- Local pid:
- pubs:64620
- ISBN:
- 0-8194-5390-0
- Copyright date:
- 2004
Conference
A comparison of nonlinear noise reduction and independent component analysis using a realistic dynamical model of the electrocardiogram
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