An Efficient Noise Reduction Technique for ECG Signal Using Model SIM

Electrocardiogram (ECG) signal can be used to count the heart rate beat for various diagnostic purposes in medicine. There are many research are related to the ECG signal such as fatigue driver detection using ECG signal. However, most of the captured ECG signal will be distorted by the noise that cause by the measurement instrument. Sometimes, the noise will totally mask the ECG signal. The signal is hardly to be processed for further analysis. Therefore, it is essential that the ECG signal must be filtered to avoid the failure detection of the signal. In QRS complex detection, R peak detection and to reduce the noise for ECG signals have been designed using windowed filter. By using FIR filter the noise removed in ECG Signals compared to windowed filter. The ECG signal will be generate without noise, detect the QRS complex and R peak. There are some advantages that the FIR filter is chosen. Due to all zero structures of filters, it is guaranteed to be stable. Moreover, FIR filter is simple to design and it has linear phase characteristics. The output of ECG signal is compared with the ECG signal before filtering by plotting the signal in time domain and frequency domain using MODEL SIM. The power is reduced.