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Richard C Hendriks

Showing results (1-10 of 13) with videos related to

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The Journal of the Acoustical Society of America|November 18, 2011
An evaluation of objective measures for intelligibility prediction of time-frequency weighted noisy speechCees H Taal, Richard C Hendriks, Richard Heusdens, et al.
Computers in Biology and Medicine|March 17, 2022
Joint cardiac tissue conductivity and activation time estimation using confirmatory factor analysisMiao Sun, Natasja M S de Groot, Richard C Hendriks
Computers in Biology and Medicine|July 4, 2021
Cardiac tissue conductivity estimation using confirmatory factor analysisMiao Sun, Natasja M S de Groot, Richard C Hendriks
Computers in Biology and Medicine|May 27, 2021
Analyzing the effect of electrode size on electrogram and activation map propertiesBahareh Abdi, Mathijs S van Schie, Natasja M S de Groot, et al.
Computers in Biology and Medicine|December 31, 2019
Improved local activation time annotation of fractionated atrial electrograms for atrial mappingBahareh Abdi, Richard C Hendriks, Alle-Jan van der Veen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Local Activation Time Estimation in Fractionated Electrograms of Cardiac MappingsBahareh Abdi, Alle-Jan van der Veen, Natasja M S de Groot, et al.
Computers in Biology and Medicine|March 23, 2019
A compact matrix model for atrial electrograms for tissue conductivity estimationBahareh Abdi, Richard C Hendriks, Alle-Jan van der Veen, et al.
Computers in Biology and Medicine|March 1, 2022
An accurate and efficient method to train classifiers for atrial fibrillation detection in ECGs: Learning by asking better questionsFons J Wesselius, Mathijs S van Schie, Natasja M S de Groot, et al.
Computers in Biology and Medicine|May 5, 2021
Digital biomarkers and algorithms for detection of atrial fibrillation using surface electrocardiograms: A systematic reviewFons J Wesselius, Mathijs S van Schie, Natasja M S De Groot, et al.
Computers in Biology and Medicine|December 28, 2020
Assessing the signal quality of electrocardiograms from varied acquisition sources: A generic machine learning pipeline for model generationAdnan Albaba, Neide Simões-Capela, Yuyang Wang, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
The Journal of the Acoustical Society of America|November 18, 2011
An evaluation of objective measures for intelligibility prediction of time-frequency weighted noisy speechCees H Taal, Richard C Hendriks, Richard Heusdens, et al.
Computers in Biology and Medicine|March 17, 2022
Joint cardiac tissue conductivity and activation time estimation using confirmatory factor analysisMiao Sun, Natasja M S de Groot, Richard C Hendriks
Computers in Biology and Medicine|July 4, 2021
Cardiac tissue conductivity estimation using confirmatory factor analysisMiao Sun, Natasja M S de Groot, Richard C Hendriks
Computers in Biology and Medicine|May 27, 2021
Analyzing the effect of electrode size on electrogram and activation map propertiesBahareh Abdi, Mathijs S van Schie, Natasja M S de Groot, et al.
Computers in Biology and Medicine|December 31, 2019
Improved local activation time annotation of fractionated atrial electrograms for atrial mappingBahareh Abdi, Richard C Hendriks, Alle-Jan van der Veen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Local Activation Time Estimation in Fractionated Electrograms of Cardiac MappingsBahareh Abdi, Alle-Jan van der Veen, Natasja M S de Groot, et al.
Computers in Biology and Medicine|March 23, 2019
A compact matrix model for atrial electrograms for tissue conductivity estimationBahareh Abdi, Richard C Hendriks, Alle-Jan van der Veen, et al.
Computers in Biology and Medicine|March 1, 2022
An accurate and efficient method to train classifiers for atrial fibrillation detection in ECGs: Learning by asking better questionsFons J Wesselius, Mathijs S van Schie, Natasja M S de Groot, et al.
Computers in Biology and Medicine|May 5, 2021
Digital biomarkers and algorithms for detection of atrial fibrillation using surface electrocardiograms: A systematic reviewFons J Wesselius, Mathijs S van Schie, Natasja M S De Groot, et al.
Computers in Biology and Medicine|December 28, 2020
Assessing the signal quality of electrocardiograms from varied acquisition sources: A generic machine learning pipeline for model generationAdnan Albaba, Neide Simões-Capela, Yuyang Wang, et al.
Pageof 2