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  • 标题:Study and Review of the Biomedical Signals With Respect To Different Methodologies
  • 本地全文:下载
  • 作者:Zainab Mizwan ; Hemant kasturiwale
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:1307-1309
  • 出版社:TechScience Publications
  • 摘要:Biomedical signals are described as the collection of electrical signal acquired from any organ that represents a physical variable of interest. This signal is normally a function of time .It is described in terms of its amplitude, frequency, and phase. The analysis of these signals is important both for research and for medical diagnosis and treatment. If the signals are not properly diagnosed and analyzed it will lead to wrong diagnosis and can be fatal to life. Biomedical signals such as ECG, EMG, and EEG are extremely important in the diagnosis of patients. These signals have noise as well as artifacts which have to be removed for proper treatment of a patient. Different methodologies are used to remove noise and artifacts .This paper describes the different filtering techniques like IIR, FIR and Wavelet
  • 关键词:ECG; EEG; EMG; artifact; noise; IIR; FIR; and Wavelet
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