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Daniela Tuninetti

Showing results (1-10 of 14) 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|January 9, 2015
Towards closed-loop deep brain stimulation: decision tree-based essential tremor patient's state classifier and tremor reappearance predictorPitamber Shukla, Ishita Basu, Daniela Tuninetti
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
On the need for adaptive learning in on-demand Deep Brain Stimulation for Movement DisordersNivedita Khobragade, Daniela Tuninetti, Daniel Graupe
Entropy (Basel, Switzerland)|January 21, 2023
The Strongly Asynchronous Massive Access ChannelSara Shahi, Daniela Tuninetti, Natasha Devroye
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Towards fully automated closed-loop Deep Brain Stimulation in Parkinson's disease patients: A LAMSTAR-based tremor predictorNivedita Khobragade, Daniel Graupe, Daniela Tuninetti
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Stochastic modeling of the neuronal activity in the thalamus of Essential Tremor patientIshita Basu, Daniela Tuninetti, Daniel Graupe, 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 19, 2012
Adaptive control of deep brain stimulator for essential tremor: entropy-based tremor prediction using surface-EMGIshita Basu, Daniela Tuninetti, Daniel Graupe, et al.
Journal of Neurosurgery|July 19, 2014
Closed-loop electrochemical feedback system for DBSDaniel Graupe, Daniela Tuninetti, Konstantin V Slavin, et al.
Biological Cybernetics|June 30, 2010
Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient dataIshita Basu, Daniel Graupe, Daniela Tuninetti, et al.
Entropy (Basel, Switzerland)|December 30, 2020
Cache-Aided General Linear Function RetrievalKai Wan, Hua Sun, Mingyue Ji, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disordersPitamber Shukla, Ishita Basu, Daniel Graupe, et al.
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Showing results (1-10 of 14) with videos related to

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Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Towards closed-loop deep brain stimulation: decision tree-based essential tremor patient's state classifier and tremor reappearance predictorPitamber Shukla, Ishita Basu, Daniela Tuninetti
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
On the need for adaptive learning in on-demand Deep Brain Stimulation for Movement DisordersNivedita Khobragade, Daniela Tuninetti, Daniel Graupe
Entropy (Basel, Switzerland)|January 21, 2023
The Strongly Asynchronous Massive Access ChannelSara Shahi, Daniela Tuninetti, Natasha Devroye
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Towards fully automated closed-loop Deep Brain Stimulation in Parkinson's disease patients: A LAMSTAR-based tremor predictorNivedita Khobragade, Daniel Graupe, Daniela Tuninetti
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Stochastic modeling of the neuronal activity in the thalamus of Essential Tremor patientIshita Basu, Daniela Tuninetti, Daniel Graupe, 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 19, 2012
Adaptive control of deep brain stimulator for essential tremor: entropy-based tremor prediction using surface-EMGIshita Basu, Daniela Tuninetti, Daniel Graupe, et al.
Journal of Neurosurgery|July 19, 2014
Closed-loop electrochemical feedback system for DBSDaniel Graupe, Daniela Tuninetti, Konstantin V Slavin, et al.
Biological Cybernetics|June 30, 2010
Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient dataIshita Basu, Daniel Graupe, Daniela Tuninetti, et al.
Entropy (Basel, Switzerland)|December 30, 2020
Cache-Aided General Linear Function RetrievalKai Wan, Hua Sun, Mingyue Ji, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disordersPitamber Shukla, Ishita Basu, Daniel Graupe, et al.
Pageof 2