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标题：An Efficient Noise Reduction Technique for ECG Signal Using Model SIM
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作者：R.Suja ; J.Ashok kumar ; V.Rajeshkumar 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：3
页码：4252
DOI：10.15680/IJIRSET.2016.0503223
出版社：S&S Publications
摘要：Electrocardiogram (ECG) signal can be used to count the heart rate beat for various diagnostic purposesin 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 QRScomplex detection, R peak detection and to reduce the noise for ECG signals have been designed using windowedfilter. By using FIR filter the noise removed in ECG Signals compared to windowed filter. The ECG signal will begenerate 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 haslinear phase characteristics. The output of ECG signal is compared with the ECG signal before filtering by plotting thesignal in time domain and frequency domain using MODEL SIM. The power is reduced.
关键词：ECG; Electro Myo Graph; And Fast Fourier Transform; FPGA; HRV; IFFT; and LEPS.