Design and Simulation of Electrocardiogram Circuit with Automatic Analysis of ECG Signal

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Design and Simulation of Electrocardiogram Circuit with Automatic Analysis of ECG Signal

Journal Title: Analele Universitatii "Eftimie Murgu" Resita. Fascicula de Inginerie - Year 2016, Vol 23, Issue 1

Abstract

An electrocardiogram (ECG) is the graphical record of bioelectric signal generated by the human body during cardiac cycle, it tells a lot about the medical status of an individual. A typical ECG waveform consist of the P, Q, R, S and T wave. The automatic ECG signal analysis comprises of using computational method/approach in extracting important features and classification of ECG waveform. This paper presents a concise ECG circuit design using an instrumentation amplifier and a band-pass passive filter. It also present the process involved in analysis of ECG signal. The first stage is the pre-filtering stage, followed by feature extraction of the signal. QRS complex is first extracted followed by P and T wave detection, also the FFT of the signal is also extracted. These features are fed into the classifier for proper classification. A pattern recognition neural network is used for classification, prior to the full deployment of the neural network, it is trained by pre-recorded ECG signal downloaded from the MIT/BIH Arrhythmias database. The neural network gave a satisfactory result with accuracy of around 87%.The whole ECG signal analysis is packaged into a MATLAB GUI for ease of use.

Authors and Affiliations

Tosin Jemilehin, Michael Adu

Keywords

Electrocardiogram. ECG circuit. feature extraction. neural network. heart rate detection

EP ID EP446989
DOI -
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