An Empirical Evaluation of Savitzky-Golay (SG) Filter for Denoising ST Segment

Roopa, C. K.; Harish, B. S.

doi:10.1007/978-981-10-9059-2_3

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Authors in [15] applied low-pass filters to remove high frequency noise. Author in [8] used SG filter with order 5. While in [26] author used Butterworth filter without specifying frequency and order of the filter.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The basic outline of the proposed methodology for detection of thrombus is as follows: ECG signal from the database is fed to the Savitzky-Golay filter [8] for smoothing. The feature parameters required to classify are measured using Stockwell Transform (starting point, peak point, end point), Nearest-Neighbor Interpolation (time interval between points) and measurement of peak amplitude (peak amplitude).…”

Section: Introductionmentioning

confidence: 99%

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Automated ECG Analysis for Localizing Thrombus in Culprit Artery Using Rule Based Information Fuzzy Network

Roopa¹,

Harish²

2020

IJIMAI

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Cardio-vascular diseases are one of the foremost causes of mortality in today's world. The prognosis for cardiovascular diseases is usually done by ECG signal, which is a simple 12-lead Electrocardiogram (ECG) that gives complete information about the function of the heart including the amplitude and time interval of P-QRS-T-U segment. This article recommends a novel approach to identify the location of thrombus in culprit artery using the Information Fuzzy Network (IFN). Information Fuzzy Network, being a supervised machine learning technique, takes known evidences based on rules to create a predicted classification model with thrombus location obtained from the vast input ECG data. These rules are well-defined procedures for selecting hypothesis that best fits a set of observations. Results illustrate that the recommended approach yields an accurateness of 92.30%. This novel approach is shown to be a viable ECG analysis approach for identifying the culprit artery and thus localizing the thrombus.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%