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Advances in Processing and Pattern Analysis of Biological Signals pp 251–272Cite as

ECG Arrythmia Analysis: Design and Evaluation Strategies

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Abstract

Cardiac arrhythmias are a major cause of morbidity and mortality. Long-term ECG analysis is an important diagnostic technique for characterizing arrhythmias and documenting response to therapy. This paper reviews the technology of real-time automated ECG arrhythmia analysis, including principles of algorithm design, and the use of standard ECG databases in development and evaluation.

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References

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Author information

Authors and Affiliations

  1. Massachusetts Institute of Technology, Harvard-MIT Division of Health Sciences and Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139, USA

    Roger G. Mark & George B. Moody

Authors
  1. Roger G. Mark
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  2. George B. Moody
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Editor information

Editors and Affiliations

  1. Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel

    Isak Gath

  2. Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel

    Gideon F. Inbar

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© 1996 Springer Science+Business Media New York

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Mark, R.G., Moody, G.B. (1996). ECG Arrythmia Analysis: Design and Evaluation Strategies. In: Gath, I., Inbar, G.F. (eds) Advances in Processing and Pattern Analysis of Biological Signals. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9098-6_18

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  • DOI: https://doi.org/10.1007/978-1-4757-9098-6_18

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-9100-6

  • Online ISBN: 978-1-4757-9098-6

  • eBook Packages: Springer Book Archive

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