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Revealing the dynamic causal interdependence between neural and muscular signals in Parkinsonian tremor.

, , , , , , and . J. Franklin Institute, 344 (3-4): 180-195 (2007)

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Dynamic synchronization state identification., , , , , and . NER, page 525-258. IEEE, (2017)A new approach to the fusion of EEG and MEG signals using the LCMV beamformer., , , , and . ICASSP, page 1202-1206. IEEE, (2013)Parkinson's Disease tremor classification - A comparison between Support Vector Machines and neural networks., , , and . Expert Syst. Appl., 39 (12): 10764-10771 (2012)Characteristics of thalamic local field potentials in patients with disorders of consciousness., , , , , and . EMBC, page 3779-3782. IEEE, (2015)Tremor dependant nonlinear interaction in deep brain local field potentials of Parkinson's disease., , , , , and . BMEI, page 399-404. IEEE, (2014)Non-Linear Dynamical Analysis of Resting Tremor for Demand-Driven Deep Brain Stimulation., , , , , and . Sensors, 19 (11): 2507 (2019)Revealing the dynamic causal interdependence between neural and muscular signals in Parkinsonian tremor., , , , , , and . J. Franklin Institute, 344 (3-4): 180-195 (2007)Brainjacking in deep brain stimulation and autonomy., , , , and . Ethics Inf. Technol., 20 (3): 219-232 (2018)Resting tremor classification and detection in Parkinson's disease patients., , , , , , and . Biomed. Signal Proc. and Control, (2015)A Fuzzy Inference System for Closed-Loop Deep Brain Stimulation in Parkinson's Disease., , , , , and . J. Medical Systems, 39 (11): 155 (2015)