Detection of the electrocardiogram P-wave using wavelet analysis

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Since wavelet analysis is an effective tool for analyzing transient signals, we studied its feature extraction and representation properties for events in electrocardiogram (EKG) data. Significant features of the EKG include the P-wave, the QRS complex, and the T-wave. For this paper the feature that we chose to focus on was the P-wave. Wavelet analysis was used as a pre-processor for a backpropagation neural network with conjugate gradient learning. The inputs to the neural network were the wavelet transforms of EKGs at a particular scale. The desired output was the location of the P-wave. The results were compared to results … continued below

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8 p.

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Anant, K. S.; Rodrigue, G. H. & Dowla, F. U. January 1, 1994.

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Since wavelet analysis is an effective tool for analyzing transient signals, we studied its feature extraction and representation properties for events in electrocardiogram (EKG) data. Significant features of the EKG include the P-wave, the QRS complex, and the T-wave. For this paper the feature that we chose to focus on was the P-wave. Wavelet analysis was used as a pre-processor for a backpropagation neural network with conjugate gradient learning. The inputs to the neural network were the wavelet transforms of EKGs at a particular scale. The desired output was the location of the P-wave. The results were compared to results obtained without using the wavelet transform as a pre-processor.

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8 p.

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OSTI as DE94010791; Paper copy available at OSTI: phone, 865-576-8401, or email, reports@adonis.osti.gov

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  • Society of Photo-Optical Instrumentation Engineers conference on intelligent information systems,Orlando, FL (United States),4-8 Apr 1994

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  • Other: DE94010791
  • Report No.: UCRL-JC--115855
  • Report No.: CONF-940449--7
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 10146126
  • Archival Resource Key: ark:/67531/metadc1314827

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  • January 1, 1994

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  • Nov. 3, 2018, 11:47 a.m.

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  • Nov. 12, 2018, 7:12 p.m.

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Anant, K. S.; Rodrigue, G. H. & Dowla, F. U. Detection of the electrocardiogram P-wave using wavelet analysis, article, January 1, 1994; California. (https://digital.library.unt.edu/ark:/67531/metadc1314827/: accessed July 27, 2021), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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