Characterization of ECG signals using multiscale approach

Saiveena, K and Gupta, P and Amarnath, M and Challa, Subrahmanya Sastry (2012) Characterization of ECG signals using multiscale approach. In: 9th International Conference on Signal Processing and Communications, 22-25, July 2012, Bangalore; India.

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Electrocardiogram signals are examined for accurately diagnosing the heart abnormalities. Different signal processing techniques have been applied on these signals to interpret and detect the heart diseases. Considering the inherent self similar pattern of ECG signals as a signature for normal behaviour, the present work explores the usefulness of the associated Hurst exponent as a means for characterizing the ECG signals for their normal, anomalous behaviours. The paper applies on ECG data sets various methods that detect Hurst exponent with and without wavelet transform. Our experimental observations present the ranges of Hurst exponents that signify the presence of anomalous behaviour in ECG data

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IITH Creators:
IITH CreatorsORCiD
Challa, Subrahmanya SastryUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: ECG data; ECG signals; Electrocardiogram signal; Experimental observation; Heart disease; Hurst exponents; Multi-scale approaches; Self-similar patterns; Signal processing technique
Subjects: Mathematics
Divisions: Department of Mathematics
Depositing User: Team Library
Date Deposited: 07 Nov 2014 04:44
Last Modified: 01 Sep 2017 10:20
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