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An automatic method for holter ECG denoising using ICA

Published: 26 October 2011 Publication History

Abstract

Our work aims at processing of holter ECG recordings using Independent Component Analysis (ICA). This powerful tool enables us to create a adapting and robust method for detection and estimation of noise in records. Our method is fully automatic and it is easily modifiable for any type of noise. It also preserves enough information for estimation of ECG beat type, which is a desirable feature.

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Cited By

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  • (2019)Algorithm for detecting QRS-complex on the electrocardiogram in real-time modeEngineering Journal: Science and Innovation10.18698/2308-6033-2019-5-1877Online publication date: May-2019
  • (2015)An Experimental Investigation of Wavelets for ECG Signal DenoisingProceedings of the The International Conference on Engineering & MIS 201510.1145/2832987.2833033(1-7)Online publication date: 24-Sep-2015

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  1. An automatic method for holter ECG denoising using ICA

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      cover image ACM Other conferences
      ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
      October 2011
      949 pages
      ISBN:9781450309134
      DOI:10.1145/2093698
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • Universitat Pompeu Fabra
      • IEEE
      • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
      • River Publishers: River Publishers
      • CTTC: Technological Center for Telecommunications of Catalonia
      • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 26 October 2011

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      Author Tags

      1. ICA
      2. classification
      3. holter ECG
      4. noise reduction

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      • Technical University of Catalonia Spain
      • River Publishers
      • CTTC
      • CTIF

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      Cited By

      View all
      • (2019)Algorithm for detecting QRS-complex on the electrocardiogram in real-time modeEngineering Journal: Science and Innovation10.18698/2308-6033-2019-5-1877Online publication date: May-2019
      • (2015)An Experimental Investigation of Wavelets for ECG Signal DenoisingProceedings of the The International Conference on Engineering & MIS 201510.1145/2832987.2833033(1-7)Online publication date: 24-Sep-2015

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