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Daniel Graupe

Showing results (1-10 of 19) with videos related to

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Neurological Research|August 26, 2004
The role of neuroengineering in neurological research and in neurological practiceDaniel Graupe
Neurological Research|July 16, 2002
An overview of the state of the art of noninvasive FES for independent ambulation by thoracic level paraplegicsDaniel Graupe
Neurological Research|August 26, 2004
Brain tumor demarcation by applying a LAMSTAR neural network to spectroscopy dataAnusha Sivaramakrishnan, Daniel Graupe
International Journal of Neural Systems|September 4, 2008
A modified LAMSTAR neural network and its applicationsNathan C Schneider, Daniel Graupe
Neurological Research|February 24, 2004
A neural-network-based detection of epilepsyVivek Prakash Nigam, Daniel Graupe
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
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
Sleep & Breathing = Schlaf & Atmung|May 9, 2014
Real-time prediction of disordered breathing events in people with obstructive sleep apneaJonathan A Waxman, Daniel Graupe, David W Carley
American Journal of Respiratory and Critical Care Medicine|December 19, 2009
Automated prediction of apnea and hypopnea, using a LAMSTAR artificial neural networkJonathan A Waxman, Daniel Graupe, David W Carley
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.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Neurological Research|August 26, 2004
The role of neuroengineering in neurological research and in neurological practiceDaniel Graupe
Neurological Research|July 16, 2002
An overview of the state of the art of noninvasive FES for independent ambulation by thoracic level paraplegicsDaniel Graupe
Neurological Research|August 26, 2004
Brain tumor demarcation by applying a LAMSTAR neural network to spectroscopy dataAnusha Sivaramakrishnan, Daniel Graupe
International Journal of Neural Systems|September 4, 2008
A modified LAMSTAR neural network and its applicationsNathan C Schneider, Daniel Graupe
Neurological Research|February 24, 2004
A neural-network-based detection of epilepsyVivek Prakash Nigam, Daniel Graupe
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
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
Sleep & Breathing = Schlaf & Atmung|May 9, 2014
Real-time prediction of disordered breathing events in people with obstructive sleep apneaJonathan A Waxman, Daniel Graupe, David W Carley
American Journal of Respiratory and Critical Care Medicine|December 19, 2009
Automated prediction of apnea and hypopnea, using a LAMSTAR artificial neural networkJonathan A Waxman, Daniel Graupe, David W Carley
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.
Pageof 2