Low-Pass Filtering Approach via Empirical Mode Decomposition Improves Short-Scale Entropy-Based Complexity Estimation of QT Interval Variability in Long QT Syndrome Type 1 Patients

Author： Bari Vlasta   Marchi Andrea   De Maria Beatrice   Girardengo Giulia   George Alfred L.   Brink Paul A.   Cerutti Sergio   Crotti Lia   Schwartz Peter J.   Porta Alberto  

Publisher： MDPI

E-ISSN： 1099-4300|16|9|4839-4854

ISSN： 1099-4300

Source： Entropy, Vol.16, Iss.9, 2014-09, pp. : 4839-4854

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Refined Multiscale Self-Entropy Approach for the Assessment of Cardiac Control Complexity: Application to Long QT Syndrome Type 1 Patients

By Bari Vlasta   Girardengo Giulia   Marchi Andrea   De Maria Beatrice   Brink Paul A.   Crotti Lia   Schwartz Peter J.   Porta Alberto  

Entropy, Vol. 17, Iss. 11, 2015-11 ,pp. : 7768-7785

MDPI

Access to resources Recommend Favorite

Entropy Analysis of RR and QT Interval Variability during Orthostatic and Mental Stress in Healthy Subjects

By Baumert Mathias   Czippelova Barbora   Ganesan Anand   Schmidt Martin   Zaunseder Sebastian   Javorka Michal  

Entropy, Vol. 16, Iss. 12, 2014-12 ,pp. : 6384-6393

MDPI

Access to resources Recommend Favorite

Analysis of EEG via Multivariate Empirical Mode Decomposition for Depth of Anesthesia Based on Sample Entropy

By Wei Qin   Liu Quan   Fan Shou-Zhen   Lu Cheng-Wei   Lin Tzu-Yu   Abbod Maysam F.   Shieh Jiann-Shing  

Entropy, Vol. 15, Iss. 9, 2013-08 ,pp. : 3458-3470

MDPI

Access to resources Recommend Favorite

A Noise Reduction Method for Dual-Mass Micro-Electromechanical Gyroscopes Based on Sample Entropy Empirical Mode Decomposition and Time-Frequency Peak Filtering

By Shen Chong   Li Jie   Zhang Xiaoming   Shi Yunbo   Tang Jun   Cao Huiliang   Liu Jun  

Sensors, Vol. 16, Iss. 6, 2016-05 ,pp. : 796-796

MDPI

Access to resources Recommend Favorite

Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia

By Huang Jeng-Rung   Fan Shou-Zen   Abbod Maysam F.   Jen Kuo-Kuang   Wu Jeng-Fu   Shieh Jiann-Shing  

Entropy, Vol. 15, Iss. 9, 2013-08 ,pp. : 3325-3339

MDPI

Access to resources Recommend Favorite