scholarly journals Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters

2015 ◽  
Vol 62 (9) ◽  
pp. 2125-2134 ◽  
Author(s):  
Julien Oster ◽  
Joachim Behar ◽  
Omid Sayadi ◽  
Shamim Nemati ◽  
Alistair E. W. Johnson ◽  
...  
Keyword(s):  
Kalman Filters ◽  
Novelty Detection ◽  
Beat Classification ◽  
Ventricular Beat

Examining cross-database global training to evaluate five different methods for ventricular beat classification

2009 ◽  
Vol 30 (7) ◽  
pp. 661-677 ◽  
Author(s):  
V Chudáček ◽  
G Georgoulas ◽  
L Lhotská ◽  
C Stylios ◽  
M Petrík ◽  
...  
Keyword(s):  
Beat Classification ◽  
Global Training ◽  
Ventricular Beat

Identifying lake longer-term dynamics via fuzzy relations and non-linear Kalman filters

1999 ◽  
Author(s):  
Tatjana D. Kolemishevska-Gugulovska ◽  
Georgi M. Dimirovski ◽  
A. Talha Dinibutun ◽  
Norman E. Gough
Keyword(s):  
Kalman Filters ◽  
Fuzzy Relations ◽  
Non Linear

Development of the navigation complex structure for a high-precision unmanned aerial vehicle for flight in the atmosphere

2020 ◽  
Keyword(s):  
Mathematical Modeling ◽  
Unmanned Aerial Vehicle ◽  
High Precision ◽  
Kalman Filters ◽  
Inertial Navigation System ◽  
Complex Structure ◽  
Navigation Systems ◽  
Aerial Vehicle ◽  
Low Altitude ◽  
System Errors

The navigation systems as part of the navigation complex of a high-precision unmanned aerial vehicle in conditions of different altitude flight are investigated. The working contours of the navigation complex with correction algorithms for an unmanned aerial vehicle during high-altitude and low-altitude flights are formed. Mathematical models of inertial navigation system errors used in non-linear and linear Kalman filters are presented. The results of mathematical modeling demonstrate the effectiveness of the working contours effectiveness of the navigation complex with correction algorithms. Keywords high-precision unmanned aerial vehicle; navigation complex; multi-altitude flight; work circuit; passive noises; Kalman filter; correction

Wireless indoor tracking network based on Kalman filters with an application to monitoring dairy cows

2010 ◽  
Vol 72 (2) ◽  
pp. 119-126 ◽  
Author(s):  
Frede Aakmann Tøgersen ◽  
Flemming Skjøth ◽  
Lene Munksgaard ◽  
Søren Højsgaard
Keyword(s):  
Dairy Cows ◽  
Kalman Filters ◽  
Indoor Tracking
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