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Biosignals have had an increasingly important role in the research and development of new applications for healthcare, sports, quality of life, and many other fields. Still, researchers are often faced with problems related with the ease-of-use and practicality of software tools for rapid prototyping of applications that involve biosignal acquisition and processing. Typically, there are either highly...
Electrocardiography (ECG) biometrics is emerging as a viable biometric trait. Recent developments at the sensor level have shown the feasibility of performing signal acquisition at the fingers and hand palms, using one-lead sensor technology and dry electrodes. These new locations lead to ECG signals with lower signal to noise ratio and more prone to noise artifacts; the heart rate variability is...
Over the past few years, the evaluation of Electrocardio-graphic (ECG) signals as a prospective biometric modality has revealed promising results. Given the vital and continuous nature of this information source, ECG signals offer several advantages to the field of biometrics; yet, several challenges currently prevent the ECG from being adopted as a biometric modality in operational settings. These...
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