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| Article Name : | | | DESIGN AN ADAPTIVE FILTER USING LMS TO DENOISE ECG SIGNAL ON RECONFIGURABLE PLATFORM | | Author Name : | | | Somnath K. Bagale | | Publisher : | | | Ashok Yakkaldevi | | Article Series No. : | | | GRT-5595 | | Article URL : | |  | Author Profile View PDF In browser | | Abstract : | | | Signal Processing has a rich history and i t s importance in bio medical engineering is known to all. ECG analysis and processing can be used to extract some characteristic parameters. The noise removal from Electrocardiogram (ECG) signal is very complex problem. In ECG signal baseline wander noise distorts the low frequency segments. The low frequency segment in ECG is ST segment. Heart attack related information is retrained from ST segment, so it is very necessary to have a noise free ECG signal. Baseline drift noise occurs due to respiratory signal and body movements. Respiratory signal wanders between 0.15Hz and 0.5Hz frequencies. One of the most common methods to remove baseline drift interference is Adaptive filtering. | | Keywords : | | |
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