A method to extract realistic artifacts from electrocardiogram recordings for robust algorithm testing.

ABSTRACT:

Objective

Recordings of signal noise and artifacts can be added to clean electrocardiogram (ECG) records to assess the performance of ECG and arrhythmia analysis algorithms in the presence of noise. We present a method to estimate device-specific signal noise and artifacts from ECG records. This method can be applied to obtain noise estimates from healthy subjects on any ECG lead, allowing a simple device-specific recording. The proposed approach is assessed using the MIT-BIH Noise Stress Test Database recordings combined with simulated ECGs.

Methods

The proposed noise-estimation method is based on the subtraction of a time-aligned median beat from a noisy ECG recording. To test our method, electrode motion and muscle artifact noise from MIT-BIH Noise Stress Test database we

SUBMITTER: Galeotti L 

PROVIDER: S-EPMC7771512 | biostudies-literature | 2018 Nov - Dec

REPOSITORIES: biostudies-literature