2017
DOI: 10.3329/bjmp.v8i1.33932
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Removal of ECG Baseline Wander using Savitzky-Golay Filter Based Method

Abstract: ECG (Electrocardiogram) is a measure of heart's electrical activity. As the body is a volume conductor, ECG signal can be recorded from the body surface. The signal while being recorded from the body surface gets corrupted by various types of noise or artifact. Among these, baseline wander is a type of noise that severely hampers the ECG signal. Baseline wander is particularly of very low frequency; it causes the ECG signal to deviate from its isoelectric line and causes the signal to ride on the lower frequen… Show more

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Cited by 10 publications
(7 citation statements)
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“…We extracted 30‐min selections representing each situation and preprocessed the BP and ECG signals into three time series: SBP, HR, and R‐wave amplitude (Figure 1). Baseline wander was removed from the ECG signals by applying a Savitzky–Golay smoothing filter before further analyses (Nahiyan & Amin, 2017). We defined the SBP and the R‐wave amplitude as the maxima of the BP and ECG, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…We extracted 30‐min selections representing each situation and preprocessed the BP and ECG signals into three time series: SBP, HR, and R‐wave amplitude (Figure 1). Baseline wander was removed from the ECG signals by applying a Savitzky–Golay smoothing filter before further analyses (Nahiyan & Amin, 2017). We defined the SBP and the R‐wave amplitude as the maxima of the BP and ECG, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…There were sudden changes of baseline from hand movement or muscle contraction artifacts, as well as gradual changes caused by internal noise such as power line interference of the sensor in the raw data. To overcome this instability, baseline correction based on the Savitzky–Golay algorithm was implemented in the time domain (Figure 2) by subtracting the polynomial equation obtained according to neighbor values [23,24].…”
Section: Methodsmentioning
confidence: 99%
“…The main goal of the analysis is to achieve the status when low demand computational resources for filtration are combined with high filtration effectiveness and no false axle counts. The most common approaches to smoothing the real signals with limited resources are presented in other studies (see [31][32][33][34]). The cost of the algorithm is crucial; for example, the outcome decision for fast train passage in specific hardware conditions (limited sampling frequency, microcontroller clock speed) must be taken within a short period of time and filtration cannot change the relationship of signals from both detector heads (neither delay nor amplitude can be unsynchronized).…”
Section: Filters Under Analysismentioning
confidence: 99%
“…The Savitzky-Golay filter [31][32][33] is a generalization of the moving average filter. During the calculation each sample is multiplied by coefficients, which are products of the polynomial (Equations ( 6) and ( 7)).…”
Section: Savitzky-golay (Sg)mentioning
confidence: 99%