ORCID Profile
0000-0002-0025-863X
Current Organisations
Universidade de Lisboa Faculdade de Ciências
,
Assistant Professor
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Publisher: MDPI AG
Date: 29-01-2023
DOI: 10.3390/S23031507
Abstract: In the last decades, researchers have shown the potential of using Electrocardiogram (ECG) as a biometric trait due to its uniqueness and hidden nature. However, despite the great number of approaches found in the literature, no agreement exists on the most appropriate methodology. This paper presents a systematic review of data acquisition methods, aiming to understand the impact of some variables from the data acquisition protocol of an ECG signal in the biometric identification process. We searched for papers on the subject using Scopus, defining several keywords and restrictions, and found a total of 121 papers. Data acquisition hardware and methods vary widely throughout the literature. We reviewed the intrusiveness of acquisitions, the number of leads used, and the duration of acquisitions. Moreover, by analyzing the literature, we can conclude that the preferable solutions include: (1) the use of off-the-person acquisitions as they bring ECG biometrics closer to viable, unconstrained applications (2) the use of a one-lead setup and (3) short-term acquisitions as they required fewer numbers of contact points, making the data acquisition of benefit to user acceptance and allow faster acquisitions, resulting in a user-friendly biometric system. Thus, this paper reviews data acquisition methods, summarizes multiple perspectives, and highlights existing challenges and problems. In contrast, most reviews on ECG-based biometrics focus on feature extraction and classification methods.
Location: Portugal
Location: Portugal
Location: Portugal
Location: Portugal
Location: United Kingdom of Great Britain and Northern Ireland
Location: Portugal
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2016
End Date: 2017
Funder:
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