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Prediction of the Timing and the Rhythm of the Parkinsonian Subthalamic Nucleus Neural Spikes Using the Local Field Potentials.

, , and . IEEE Trans. Inf. Technol. Biomed., 16 (2): 190-197 (2012)

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Comparison of fractal dimension estimation algorithms for epileptic seizure onset detection., , , , , , , , and . BIBE, page 1-6. IEEE, (2008)Beta-Band Frequency Peaks Inside the Subthalamic Nucleus as a Biomarker for Motor Improvement After Deep Brain Stimulation in Parkinson's Disease., , , , and . IEEE J. Biomed. Health Informatics, 19 (1): 174-180 (2015)Modelling strategic management for the development of competitive advantage, based on technology., , and . J. Systems and IT, 16 (3): 187-209 (2014)Classification and Prediction of Clinical Improvement in Deep Brain Stimulation From Intraoperative Microelectrode Recordings., , , , , and . IEEE Trans. Biomed. Eng., 64 (5): 1123-1130 (2017)A population level computational model of the basal ganglia that generates parkinsonian local field potential activity., , , and . Biol. Cybern., 102 (2): 155-176 (2010)Parameter identification for a local field potential driven model of the Parkinsonian subthalamic nucleus spike activity., , and . Neural Networks, (2012)Prediction of the Timing and the Rhythm of the Parkinsonian Subthalamic Nucleus Neural Spikes Using the Local Field Potentials., , and . IEEE Trans. Inf. Technol. Biomed., 16 (2): 190-197 (2012)Υπολογιστικές μέθοδοι για την αριθμητική επίλυση συνήθων διαφορικών εξισώσεων. University of Peloponesse, Greece, (2006)National Archive of PhD Theses: oai:10442/14370.Developing and managing digital service ecosystems: a service science viewpoint., , , and . J. Syst. Inf. Technol., 16 (3): 233-248 (2014)Prediction of the Parkinsonian subthalamic nucleus spike activity from local field potentials using nonlinear dynamic models., , , , , and . BIBE, page 298-302. IEEE Computer Society, (2012)