Demand driven deep brain stimulation: regimes and autoregressive hidden Markov implementation.

Journal article

Deep brain stimulation is an increasingly prevalent surgical option in the treatment of a multitude of neurological conditions, most notably Parkinson's disease. The development of a neurofeedback device is driven primarily by stimulator habituation, surgical risk factors, the cost of battery replacement, and reported neuropsychiatric side-effects under prolonged chronic administration. Here we present two distinct regimes for stimulation delivery in chronic and acute symptomatic conditions, ...

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Authors: Brittain, J; Probert-Smith, P; Aziz, T

• Publication status: Published
• Journal: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
• Volume: 2010
• Pages: 158-161
• Publication date: 2010-01-01
• DOI: 10.1109/iembs.2010.5627242
• ISSN: 1557-170X
• Language: English
• Keywords: Signal Processing, Computer-Assisted; Deep Brain Stimulation; Regression Analysis; Markov Chains; Parkinsonian Disorders; Tomography, X-Ray Computed; Subthalamic Nucleus; Movement; Hypokinesia; Algorithms; Computer Simulation; Models, Neurological; Humans; Tremor