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Adam Gacek

Showing results (1-10 of 12) with videos related to

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Artificial Intelligence in Medicine|December 26, 2013
Data structure-guided development of electrocardiographic signal characterization and classificationAdam Gacek
IEEE Transactions on Bio-Medical Engineering|October 6, 2006
A granular description of ECG signalsAdam Gacek, Witold Pedrycz
IEEE Transactions on Bio-Medical Engineering|October 17, 2003
A genetic segmentation of ECG signalsAdam Gacek, Witold Pedrycz
Artificial Intelligence in Medicine|October 18, 2011
A characterization of electrocardiogram signals through optimal allocation of information granularityAdam Gacek, Witold Pedrycz
IEEE Transactions on Bio-Medical Engineering|July 14, 2004
Computationally effective algorithm for robust weighted averagingJacek M Leski, Adam Gacek
Sensors (Basel, Switzerland)|December 23, 2022
An Effective Method of Detecting Characteristic Points of Impedance Cardiogram Verified in the Clinical Pilot StudyIlona Karpiel, Monika Richter-Laskowska, Daniel Feige, et al.
Medical & Biological Engineering & Computing|August 29, 2006
The influence of coincidence of fetal and maternal QRS complexes on fetal heart rate reliabilityAdam Matonia, Janusz Jezewski, Tomasz Kupka, et al.
IEEE Transactions on Cybernetics|April 20, 2021
Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy ClusteringXingchen Hu, Yinghua Shen, Witold Pedrycz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
New approach to quantitative description of deceleration of fetal heart rate for the patterns classificationPawel Labaj, Michal Jezewski, Adam Matonia, et al.
JMIR Mhealth and Uhealth|May 5, 2021
Noninvasive Bioimpedance Methods From the Viewpoint of Remote Monitoring in Heart FailurePawel Krzesinski, Aleksander Sobotnicki, Adam Gacek, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Artificial Intelligence in Medicine|December 26, 2013
Data structure-guided development of electrocardiographic signal characterization and classificationAdam Gacek
IEEE Transactions on Bio-Medical Engineering|October 6, 2006
A granular description of ECG signalsAdam Gacek, Witold Pedrycz
IEEE Transactions on Bio-Medical Engineering|October 17, 2003
A genetic segmentation of ECG signalsAdam Gacek, Witold Pedrycz
Artificial Intelligence in Medicine|October 18, 2011
A characterization of electrocardiogram signals through optimal allocation of information granularityAdam Gacek, Witold Pedrycz
IEEE Transactions on Bio-Medical Engineering|July 14, 2004
Computationally effective algorithm for robust weighted averagingJacek M Leski, Adam Gacek
Sensors (Basel, Switzerland)|December 23, 2022
An Effective Method of Detecting Characteristic Points of Impedance Cardiogram Verified in the Clinical Pilot StudyIlona Karpiel, Monika Richter-Laskowska, Daniel Feige, et al.
Medical & Biological Engineering & Computing|August 29, 2006
The influence of coincidence of fetal and maternal QRS complexes on fetal heart rate reliabilityAdam Matonia, Janusz Jezewski, Tomasz Kupka, et al.
IEEE Transactions on Cybernetics|April 20, 2021
Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy ClusteringXingchen Hu, Yinghua Shen, Witold Pedrycz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
New approach to quantitative description of deceleration of fetal heart rate for the patterns classificationPawel Labaj, Michal Jezewski, Adam Matonia, et al.
JMIR Mhealth and Uhealth|May 5, 2021
Noninvasive Bioimpedance Methods From the Viewpoint of Remote Monitoring in Heart FailurePawel Krzesinski, Aleksander Sobotnicki, Adam Gacek, et al.
Pageof 2