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Nicole D Aranoff

Showing results (1-10 of 6) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
A Binary Classification of Cardiovascular Abnormality Using Time-Frequency Features of Cardio-mechanical SignalsChenxi Yang, Nicole D Aranoff, Philip Green, et al.
IEEE Transactions on Bio-Medical Engineering|September 24, 2019
Classification of Aortic Stenosis Using Time-Frequency Features From Chest Cardio-Mechanical SignalsChenxi Yang, Nicole D Aranoff, Philip Green, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Classification of Aortic Stenosis Before and After Transcatheter Aortic Valve Replacement Using Cardio-mechanical Modalities<sup>.</sup>Chenxi Yang, Banish Ojha, Nicole D Aranoff, et al.
Scientific Reports|December 11, 2021
Efficient detection of aortic stenosis using morphological characteristics of cardiomechanical signals and heart rate variability parametersArash Shokouhmand, Nicole D Aranoff, Elissa Driggin, et al.
Scientific Reports|October 17, 2020
Classification of aortic stenosis using conventional machine learning and deep learning methods based on multi-dimensional cardio-mechanical signalsChenxi Yang, Banish D Ojha, Nicole D Aranoff, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Mean Pressure Gradient Prediction Based on Chest Angular Movements and Heart Rate Variability ParametersArash Shokouhmand, Chenxi Yang, Nicole D Aranoff, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
A Binary Classification of Cardiovascular Abnormality Using Time-Frequency Features of Cardio-mechanical SignalsChenxi Yang, Nicole D Aranoff, Philip Green, et al.
IEEE Transactions on Bio-Medical Engineering|September 24, 2019
Classification of Aortic Stenosis Using Time-Frequency Features From Chest Cardio-Mechanical SignalsChenxi Yang, Nicole D Aranoff, Philip Green, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Classification of Aortic Stenosis Before and After Transcatheter Aortic Valve Replacement Using Cardio-mechanical Modalities<sup>.</sup>Chenxi Yang, Banish Ojha, Nicole D Aranoff, et al.
Scientific Reports|December 11, 2021
Efficient detection of aortic stenosis using morphological characteristics of cardiomechanical signals and heart rate variability parametersArash Shokouhmand, Nicole D Aranoff, Elissa Driggin, et al.
Scientific Reports|October 17, 2020
Classification of aortic stenosis using conventional machine learning and deep learning methods based on multi-dimensional cardio-mechanical signalsChenxi Yang, Banish D Ojha, Nicole D Aranoff, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Mean Pressure Gradient Prediction Based on Chest Angular Movements and Heart Rate Variability ParametersArash Shokouhmand, Chenxi Yang, Nicole D Aranoff, et al.
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