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Yi Zhao and Song-Kyoo Kim
This paper addresses the enhancement of modern security through the integration of electrocardiograms (ECGs) into biometric authentication systems. As technology advances, the demand for reliable identity authentication systems has grown, given the rise ...
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Jin Su Kim, Cheol Ho Song, Jae Myung Kim, Jimin Lee, Yeong-Hyeon Byeon, Jaehyo Jung, Hyun-Sik Choi, Keun-Chang Kwak, Youn Tae Kim, EunSang Bak and Sungbum Pan
Current advancements in biosignal-based user recognition technology are paving the way for a next-generation solution that addresses the limitations of face- and fingerprint-based user recognition methods. However, existing biosignal benchmark databases ...
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Maria Louro da Silva, Carolina Gouveia, Daniel Filipe Albuquerque and Hugo Plácido da Silva
Bio-Radar (BR) systems have shown great promise for biometric applications. Conventional methods can be forged, or fooled. Even alternative methods intrinsic to the user, such as the Electrocardiogram (ECG), present drawbacks as they require contact with...
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Khaled M. Abdelgaber, Mostafa Salah, Osama A. Omer, Ahmed E. A. Farghal and Ahmed S. Mubarak
In this paper, a beat-based autoencoder is proposed for mapping photoplethysmography (PPG) to a single-lead electrocardiogram (single-lead ECG) signal. The main limiting factors represented in uncleaned data, subject dependency, and erroneous beat segmen...
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Allam Jaya Prakash, Kiran Kumar Patro, Saunak Samantray, Pawel Plawiak and Mohamed Hammad
An electrocardiogram (ECG) is a unique representation of a person?s identity, similar to fingerprints, and its rhythm and shape are completely different from person to person. Cloning and tampering with ECG-based biometric systems are very difficult. So,...
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Krittapat Bannajak, Nipon Theera-Umpon and Sansanee Auephanwiriyakul
In this paper, we propose a lossless electrocardiogram (ECG) compression method using a prediction error-based adaptive linear prediction technique. This method combines the adaptive linear prediction, which minimizes the prediction error in the ECG sign...
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Anfal Ahmed Aleidan, Qaisar Abbas, Yassine Daadaa, Imran Qureshi, Ganeshkumar Perumal, Mostafa E. A. Ibrahim and Alaa E. S. Ahmed
User authentication has become necessary in different life domains. Traditional authentication methods like personal information numbers (PINs), password ID cards, and tokens are vulnerable to attacks. For secure authentication, methods like biometrics h...
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Mohammad Mahbubur Rahman Khan Mamun and Tarek Elfouly
Contemporary methods used to interpret the electrocardiogram (ECG) signal for diagnosis or monitoring are based on expert knowledge and rule-centered algorithms. In recent years, with the advancement of artificial intelligence, more and more researchers ...
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Roberta Avanzato, Francesco Beritelli, Alfio Lombardo and Carmelo Ricci
Today?s healthcare facilities require new digital tools to cope with the rapidly increasing demand for technology that can support healthcare operators. The advancement of technology is leading to the pervasive use of IoT devices in daily life, capable o...
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Yeong-Hyeon Byeon and Keun-Chang Kwak
When acquiring electrocardiogram (ECG) signals, the placement of electrode patches is crucial for acquiring electrocardiographic signals. Constant displacement positions are essential for ensuring the consistency of the ECG signal when used for individua...
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