ECG signals for human identification based on fiducial and non-fiducial approaches
نویسندگان
چکیده
منابع مشابه
Human Identification Using ECG Feature Extracted From Fiducial and Non-Fiducial Approach
Electrocardiogram (ECG) will be employed in clinical identification for cardiac perform. Also, because people have completely different electrocardiogram traces, therefore, they can be non-inheritable as promising biometric options for human identification. According to the utilized options, the existing ECG based mostly biometric systems is classified to fiducial and nonfiducial systems. The i...
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This study proposes electrocardiogram (ECG) identification based on non-fiducial feature extraction using window removal method, nearest neighbor (NN), support vector machine (SVM), and linear discriminant analysis (LDA). In the pre-processing stage, Daubechies 4 is used to remove the baseline wander and noise of the original signal. In the feature extraction and selection stage, windows are se...
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Computer vision solutions such as face detection and recognition, facial reenactment, facial expression analysis and gender detection have seen fruitful applications in various domains such as security, surveillance, social media and animation. Many of the above solutions have common pre-processing steps such as fiducial detection, appearance modeling, face structural modelings etc. These steps...
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Identity recognition faces several challenges especially in extracting an individual's unique features from biometric modalities and pattern classifications. Electrocardiogram (ECG) waveforms, for instance, have unique identity properties for human recognition, and their signals are not periodic. At present, in order to generate a significant ECG feature set, nonfiducial methodologies based on ...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Research
سال: 2020
ISSN: 2249-7277,2277-7970
DOI: 10.19101/ijacr.2019.940129