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Programming Deep Brain Stimulation for the treatment of Essential Tremor can be a time intensive process. Using an atlas created using functional tremor responses in the operating room to determine the optimal settings would lead to a faster response for the patient and improved quality of life.
Allocation: Randomized, Intervention Model: Crossover Assignment, Masking: Double Blind (Subject, Outcomes Assessor), Primary Purpose: Treatment
DBS programming, DBS programming
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Published on BioPortfolio: 2016-02-09T19:38:22-0500
This thesis project proposes to investigate the "state of the art" of the programming of the cochlear implant. In the center of audiophonologie Brussels, the classic 'manual programming' h...
The purpose of this clinical trial is to determine whether periodic therapy programming reports illustrating physician usage of shock reduction programming can increase utilization of reco...
The purpose of this clinical investigation is to assess the programming behavior of the physicians in the patient cohort. Furthermore, the acceptance level of specific programming recommen...
Participants will undergo DBS programming guided by the DBS-Expert system and by a clinician per standard care.
Remote programming has significant advantages over conventional programming methods on some issues. This research will test the safety of SceneRay remote and wireless DBS programming syste...
Many factors affect an individual's outcomes with a cochlear implant (CI); however, quality of device programming and consistency of follow-up appointments have been shown to be crucial contributors. ...
Caffeine can exacerbate tremor. Reducing caffeine intake or switching to decaffeinated beverages can lessen tremor. Unaffected relatives of essential tremor (ET) cases often have mild, subclinical tre...
Hand tremor is one of the most frequent symptoms in movement disorders, and differential diagnoses for hand tremor include Parkinson's disease (PD) and essential tremor (ET). However, accurately diffe...
There is accumulating evidence that aging phenotype and longevity may be developmentally programmed. Main mechanisms linking developmental conditions to later-life health outcomes include persistent c...
Thalamic ventralis intermedius deep brain stimulation (VIM-DBS) is generally effective in treating refractory tremor in Parkinson's disease (PD) and in essential tremor (ET), but some patients do not ...
A set of models of how communication impacts and is impacted by subjective experience. Techniques are generated from these models by sequencing of various aspects of the models in order to change someone's internal representations. Neurolinguistic programming is concerned with the patterns or programming created by the interactions among the brain, language, and the body, that produce both effective and ineffective behavior.
A technique of operations research for solving certain kinds of problems involving many variables where a best value or set of best values is to be found. It is most likely to be feasible when the quantity to be optimized, sometimes called the objective function, can be stated as a mathematical expression in terms of the various activities within the system, and when this expression is simply proportional to the measure of the activities, i.e., is linear, and when all the restrictions are also linear. It is different from computer programming, although problems using linear programming techniques may be programmed on a computer.
Specific languages used to prepare computer programs.
A relatively common disorder characterized by a fairly specific pattern of tremors which are most prominent in the upper extremities and neck, inducing titubations of the head. The tremor is usually mild, but when severe may be disabling. An autosomal dominant pattern of inheritance may occur in some families (i.e., familial tremor). (Mov Disord 1988;13(1):5-10)
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.