Zobrazeno 1 - 10
of 175
pro vyhledávání: '"MIT-BIH database"'
Autor:
Alba Vadillo-Valderrama, Rebeca Goya-Esteban, Raul P. Caulier-Cisterna, Arcadi Garcia-Alberola, Jose Luis Rojo-Alvarez
Publikováno v:
IEEE Access, Vol 10, Pp 129362-129381 (2022)
Holter systems record the electrocardiogram (ECG), which is used to identify beat families according to their origin and severity. Many systems have been proposed using signal conditioning and machine learning (ML) classification algorithms for beat
Externí odkaz:
https://doaj.org/article/df563130c3464dd8ad6ba85d8c02f505
Publikováno v:
工程科学学报, Vol 42, Iss 5, Pp 654-662 (2020)
Applying a steep pulse voltage of appropriate amplitude to a cell membrane can induce transient and reversible breakdown of the membrane, which has broad application prospects in biomedicine and clinical fields. However, the noise generated by the st
Externí odkaz:
https://doaj.org/article/311a820f7e7d4947919557194afd7f04
Publikováno v:
IEEE Access, Vol 7, Pp 111662-111677 (2019)
Today, the Internet of Things (IOT) concept is gaining much attention and popularity; The related technologies as spacesuits and embedded ECG acquisition device is already existed. However, there are important issues to be resolved when an applicatio
Externí odkaz:
https://doaj.org/article/6b1ce7aad9c14192a785c134aed331bf
Publikováno v:
Applied Sciences, Vol 10, Iss 9, p 3304 (2020)
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 proce
Externí odkaz:
https://doaj.org/article/b3ecdb6e117e4feaa88b94bcb5cfd651
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 483 (2020)
Many algorithms have been developed for automated electrocardiogram (ECG) classification. Due to the non-stationary nature of the ECG signal, it is rather challenging to use traditional handcraft methods, such as time-based analysis of feature extrac
Externí odkaz:
https://doaj.org/article/89b206b282164538b946113aba52fa8e
Publikováno v:
Sensors, Vol 15, Iss 8, Pp 20730-20751 (2015)
It is known that cardiac and respiratory rhythms in electrocardiograms (ECGs) are highly nonlinear and non-stationary. As a result, most traditional time-domain algorithms are inadequate for characterizing the complex dynamics of the ECG. This paper
Externí odkaz:
https://doaj.org/article/cd6a68eae5d54ea280b18fb391b4d053
Publikováno v:
Sensors, Vol 19, Iss 14, p 3214 (2019)
Cardiovascular disease (CVD) has become one of the most serious diseases that threaten human health. Over the past decades, over 150 million humans have died of CVDs. Hence, timely prediction of CVDs is especially important. Currently, deep learning
Externí odkaz:
https://doaj.org/article/412f78e21fea401585b732aa57e6c369
Publikováno v:
IETE Journal of Research. :1-10
The electrocardiogram (ECG) signal consists of vital information that can be used in detecting various heart diseases. R-peaks in ECG signal play a major role in the diagnosis of the heart disorder...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c77ad72c1c68ec35f3ef6e42f152499
https://doi.org/10.1080/03772063.2021.1893229
https://doi.org/10.1080/03772063.2021.1893229
Akademický článek
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Autor:
Haider J. Abd, Zena Mohammed
Publikováno v:
Journal of Advanced Research in Dynamical and Control Systems. 12:571-581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d068e63658c1b8410500b80b041864e
https://doi.org/10.5373/jardcs/v12i7/20202040
https://doi.org/10.5373/jardcs/v12i7/20202040