Why the study?
Does discrete wavelet transform of ECG signals provide accurate personal identity verification in normal subjects and arrhythmia patients?
Population
45 individuals, comprising 35 normal subjects and 10 arrhythmia patients
Design
Other
Authors
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Accuracy adequate in normals but reduced in arrhythmia; leaves open clinical validation of ECG biometrics.
Does discrete wavelet transform of ECG signals provide accurate personal identity verification in normal subjects and arrhythmia patients?
ECG signals processed with discrete wavelet transform can be feasibly used as a biometric measure for personal identity verification, particularly in individuals without arrhythmias.
Chiu et al. (2009) studied this question.
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