Statistical analysis of ECG signals for arrhythmia detection

G. S. Nayak, C. Puttamadappa, A. Surekha Kamatha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Electrocardiogram is one important physiological signal, which is used in assessing cardiac health. The extraction of features used for identification of the state of ECG is discussed in this paper. Using MAT LAB programs/tools, different statistical features are extracted from both normal and arrhythmia spectra. These features include differentiation and count of spikes for different thresholds, mean, standard deviation, energy, residuals on curve fitting, LPC coefficients etc. The values of the feature vector reveal information regarding cardiac health state. These parameters have been analyzed for discrimination between normal and arrhythmia conditions. For analysis a specific data set has been considered.

Original languageEnglish
Title of host publication4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008
Pages251-253
Number of pages3
Volume21 IFMBE
Edition1
DOIs
Publication statusPublished - 2008
Event4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008 - Kuala Lumpur, Malaysia
Duration: 25-06-200828-06-2008

Conference

Conference4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008
CountryMalaysia
CityKuala Lumpur
Period25-06-0828-06-08

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All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Bioengineering

Cite this

Nayak, G. S., Puttamadappa, C., & Kamatha, A. S. (2008). Statistical analysis of ECG signals for arrhythmia detection. In 4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008 (1 ed., Vol. 21 IFMBE, pp. 251-253) https://doi.org/10.1007/978-3-540-69139-6-65