Electrocardiogram (ECG) classification systems have the potential to benefit from the inclusion of the automated measurement capabilities. The first stage in computerized processing of the ECG is beat detection. The accuracy of the beat detector is very important for the overall system performance hence there is a benefit in improving the accuracy. In present study we introduce the concept of Discrete Wavelet Transform which is suitable for the non stationary ECG signals as it has adequate scale values and shifting in time. As baseline Wander and different types of noise elimination are considered as classical problem in ECG analysis we present a wavelet based search algorithm in different scales for Denoising and subtractive procedure to isolate baseline wander from noisy ECG signal(to remove the noise). This algorithm is tested using the data record from MIT-BIH database and excellent results are obtained.

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The aim of this paper is to introduce a new multipurpose human machine interface (HMI) designed using higher level language. Unlike any other software, wherein if hardware is changed; there is a need to bring subsequent change in the software; this HMI can be used as a general purpose software for ECG analysis with any kind of hardware. The same analyzing system can be used to perform allied other functions. It is used to filter the signal coming from the hardware so as to eradicate any kind of noise present. It not only displays the 12 lead ECG signals on the LCD screen but simultaneously stores it in the memory of the system. Further the ECG analysis system analyzes the stored signal to calculate heart rate, P wave and T wave interval, QRS complex interval, presence of PVCs and other abnormalities, and display the arrhythmia. Finally this software makes use of the GSM module or internet protocol defined so as to send SMS to medical expert, giving details of the possible arrhythmia and asking for possible remark. Keywords-Heart Rate (HR), QRS complex, low pass and high pass filters, arrhythmia(s), internet protocol, transmission (SMS).