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Yubing Yuan, Yicai Ji, Shengbo Ye, Xiaojun Liu and Guangyou Fang
Life detection is important in earthquake rescue, but weak vital signal is susceptible to interference by clutters. Due to the undesirable characteristics of the hardware, there are two main types of clutter generated by the frequency modulation continuo...
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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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Jyoti Gondane and Meena S. Panse
Self-mixing optical coherent detection is a non-contact measurement technique which provides accurate information about the vibration frequency of any test subject. In this research, novel designs of optical homodyne and heterodyne detection techniques a...
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Eko Ihsanto, Kalamullah Ramli, Dodi Sudiana and Teddy Surya Gunawan
The electrocardiogram (ECG) is relatively easy to acquire and has been used for reliable biometric authentication. Despite growing interest in ECG authentication, there are still two main problems that need to be tackled, i.e., the accuracy and processin...
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Matej Istvanek, Zdenek Smekal, Lubomir Spurny and Jiri Mekyska
Beat detection systems are widely used in the music information retrieval (MIR) research field for the computation of tempo and beat time positions in audio signals. One of the most important parts of these systems is usually onset detection. There is an...
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Agostino Giorgio, Maria Rizzi and Cataldo Guaragnella
The analysis of cardiac signals is still regarded as attractive by both the academic community and industry because it helps physicians in detecting abnormalities and improving the diagnosis and therapy of diseases. Electrocardiographic signal processing...
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J. G. Kempf, J. A. Marohn, P. J. Carson, D. A. Shykind, J. Y. Hwang, M. A. Miller, and D. P. Weitekamp
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