Adam O. Hebb

According to our database1, Adam O. Hebb authored at least 11 papers between 2012 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2018
Studying the Effects of Deep Brain Stimulation and Medication on the Dynamics of STN-LFP Signals for Human Behavior Analysis.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
An FFT-based synchronization approach to recognize human behaviors using STN-LFP signal.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
A Multiple Kernel Learning approach for human behavioral task classification using STN-LFP signal.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Suppression of neurostimulation artifacts and adaptive clustering of Parkinson's patients behavioral tasks using EEG.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Motor task event detection using Subthalamic Nucleus Local Field Potentials.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A new approach for automated detection of behavioral task onset for patients with Parkinson's disease using subthalamic nucleus local field potentials.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Causality graph learning on cortical information flow in Parkinson's disease patients during behaviour tests.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Single trial behavioral task classification using subthalamic nucleus local field potential signals.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Time-frequency analysis of brain electrical Signals for behvior recognition in patients with Parkinson's disease.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms.
PLoS Comput. Biol., 2012


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