AI Article Synopsis
- A general method is introduced to calculate differentiator coefficients that enhance signal-to-noise ratio or reduce errors in digital low-pass filters, given known signal and noise spectra.
- Various digital filter examples are provided, specifically aimed at processing the QRS complex and P-T wave in ECG signals.
- The text highlights the importance of digital low-pass filtering and differentiation in the real-time analysis of biomedical signals.
Article Abstract
Digital low-pass filtering and differentiation (LPD) are useful in real-time processing of many biomedical signals. A general method is presented for determining the coefficients of a differentiator that maximizes the signal-to-noise ratio or minimizes the error between actual and ideal LPD filters, when signal and noise spectra are known. Several examples of digital filters suitable for QRS complex and P-T wave processing in ECG are presented.
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| http://dx.doi.org/10.1109/10.52350 | DOI Listing |
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