Statistical Analysis of ECG signals for Arrhythmia detection

Nayak, Subramanya G and Puttamadappa, C and Kamath, Surekha (2008) Statistical Analysis of ECG signals for Arrhythmia detection. In: 4th Kuala Lumpur International Conference on Biomedical 2008, Kuala Lumpur, Malaysia.

[img] PDF
C_BIOMED_2008.pdf - Published Version
Restricted to Registered users only

Download (160kB) | Request a copy


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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > MIT Manipal > Electronics and Communication
Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 13 Apr 2013 08:43
Last Modified: 15 Jan 2014 10:35

Actions (login required)

View Item View Item