Normalizing for Noise Removal from Electrocardiogram Signals
2012
- 747Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage747
- Downloads385
- Abstract Views362
Article Description
Electrocardiography (ECG) measures the electrical impulse of the heart over time using electrodes that attached to the body. Designing a computational program using a synthetic ECG to test Normalized Least Mean Square (NLMS) filter serves as a basis to remove noise from the signal.
Bibliographic Details
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