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文章基本信息

  • 标题:Embedded Hardware for Online Monitoring of ECG Signal
  • 本地全文:下载
  • 作者:Bhagyashree K Patil ; Seema H Rajput ; Durgaprasad K Kamat
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2015
  • 卷号:4
  • 期号:5
  • 页码:771-779
  • 出版社:IJCSN publisher
  • 摘要:The proposed work presents the principle of low cost embedded system which gives essential ECG monitoring system. For ECG signal in real time, embedded C is used for programming the proposed system hardware. Embedded system consists of 32bit ARM LPC2138, MAX232, Amplifier circuit block, ECG electrodes. System gives essential real time ECG signal values. ECG signal related parameters are analyzed like wave’s amplitude, heart beats, blood pressure and RR interval. It also gives normal and abnormal status of ECG signal. Different algorithms like wavelet transform, extended kalman filter, extended kalman smoother and linear discriminant analysis classifier are used for filtering and analysis of the ECG signal and its parameters respectively. Wavelet Transform gives better Accuracy of 97.20% and Detection error ratio of 0.064, Positive Prediction of 93.91% as compared with EKF and EKS. System have advantages like low cost, better results in real time, versatility
  • 关键词:Embedded ECG Monitoring System;Detects Normal and Abnormal Status;Wavelet Transform;Extended Kalman Filter;Extended Kalman Smoother and LDA
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