2008 Third International Conference on Convergence and Hybrid Information Technology 2008
DOI: 10.1109/iccit.2008.393
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ECG Signal De-noising with Signal Averaging and Filtering Algorithm

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Cited by 14 publications
(9 citation statements)
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“…The pre-processing stage was finalized by averaging of the heartbeat templates extracted from a single recording to improve signal-to-noise ratio [14]. Additionally, parameters referring to the heart rate (mean duration and standard deviation of R-to-R intervals) were derived.…”
Section: Data Pre-processingmentioning
confidence: 99%
“…The pre-processing stage was finalized by averaging of the heartbeat templates extracted from a single recording to improve signal-to-noise ratio [14]. Additionally, parameters referring to the heart rate (mean duration and standard deviation of R-to-R intervals) were derived.…”
Section: Data Pre-processingmentioning
confidence: 99%
“…Since the poor signal to noise ratio (SNR) in signal fading leads to unreliable reconstruction, the SNR value will be used to detect signal fading. To estimate the SNR value in the SMS, we apply the method used in SNR calculation of ECG signals [16].…”
Section: Sensor Diversity Techniquementioning
confidence: 99%
“…It can achieve a depressed average error w.r.t a template deduced from each ECG signal. e. ECG signal has been de-noised using signal averaging and filtering method [9]. This method gets rid of baseline wandering and EMG noises but it is unable to remove motion artifact incorporated with desired ECG signal.…”
Section: Literature Surveymentioning
confidence: 99%