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Design and Development of Intelligent System For Detecting ECG Signal Abnormalities

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Document pages: 8 pages

Abstract: The significance intention of this research work is to design a structure for predicting ECG signal abnormalities. This proposed model incorporates three-section pre-processing, feature extraction, and structural designing. The novelty of this work lies in structural designing done with Biomedical Toolkit to improve its prediction accuracy. The structural design happens with the aid of optimization techniques to precise its predicting accuracy. The preliminary research carried out with a benchmark dataset to design and validate the designed optimal structure. The developed system does the preliminary investigation and predicts the heart abnormalities of a person. Hence anyone skeptic of heart problem can analyze his her ECG using this efficient technique. The entire implementation executes in the working platform LabVIEW (Laboratory Virtual Instrument Engineering Workbench) to process the system to ECG signal abnormalities prediction.

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