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Query: UMLS:C0040822 (tremor)
 18,428 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Since 25 years electrical stimulation has become an established and widely acknowledged therapy option. Today, FES is widely employed, e.g. for cardiostimulation, diaphragm stimulation, kinetotherapy, for treatment of tremor in Parkinson patients, and finally for bladder stimulation in patients with bladder voiding dysfunctions. Brindley was the first researcher who succeeded in stimulating the spinal nerves via implanted electrodes in an animal model. In the years 1978/79 Brindley implanted five paraplegic patients with so-called sacral anterior root stimulators; all of them were able to void under stimulation. This method of sacral anterior root stimulation (SARS) proved an alternative to frequent one-way catheterisation for patients with severe voiding dysfunctions, without achieving complete continence, however. The following study is to provide an overview over the latest insights in the context of implanting sacral anterior root stimulators; it discusses the preconditions required for such interventions and presents criteria to decide in which cases there is a contraindication for sacral deafferentation of the posterior roots. Moreover, it contrasts advantages and disadvantages of the intradural and extradural implantation methods and presents the currently available long-term follow-up results with SDAF and SARS for treatment of bladder voiding dysfunctions.
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PMID:Deafferentation of the urinary bladder and implantation of a sacral anterior root stimulator (SARS) for treatment of the neurogenic bladder in paraplegic patients. 1575 68

This paper focus on SFIT platforms for rehabilitations and FES therapy. Two systems will be described, one developed to support patients during motor therapy, when they are still hospitalized, and after discharge, at home; the other is a sleeve integrating multi-electrodes patches, designed to allow FES therapy and EMG acquisition for patients affected by tremor. These examples prove that it is possible to combine fabric electrodes and biomechanical textile sensors to conceive systems where gesture recognition function can be combined with EMG detection and FES capability. These platforms can be easily used at home for daily therapy, as well as for telemedicine services.
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PMID:E-Textile platforms for rehabilitation. 2109 22

Tremor is the most common movement disorder encountered during daily neurological practice. Tremor in the upper limbs causes functional disability and social inconvenience, impairing daily life activities. The response of tremor to pharmacotherapy is variable. Therefore, a combination of drugs is often required. Surgery is considered when the response to medications is not sufficient. However, about one third of patients are refractory to current treatments. New bioengineering therapies are emerging as possible alternatives. Our study was carried out in the framework of the European project "Tremor" (ICT-2007-224051). The main purpose of this challenging project was to develop and validate a new treatment for upper limb tremor based on the combination of functional electrical stimulation (FES; which has been shown to reduce upper limb tremor) with a brain-computer interface (BCI). A BCI-driven detection of voluntary movement is used to trigger FES in a closed-loop approach. Neurological tremor is detected using a matrix of EMG electrodes and inertial sensors embedded in a wearable textile. The identification of the intentionality of movement is a critical aspect to optimize this complex system. We propose a multimodal detection of the intentionality of movement by fusing signals from EEG, EMG and kinematic sensors (gyroscopes and accelerometry). Parameters of prediction of movement are extracted in order to provide global prediction plots and trigger FES properly. In particular, quality parameters (QPs) for the EEG signals, corticomuscular coherence and event-related desynchronization/synchronization (ERD/ERS) parameters are combined in an original algorithm which takes into account the refractoriness/responsiveness of tremor. A simulation study of the relationship between the threshold of ERD/ERS of artificial EEG traces and the QPs is also provided. Very interestingly, values of QPs were much greater than those obtained for the corticomuscular module alone.
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PMID:Quality parameters for a multimodal EEG/EMG/kinematic brain-computer interface (BCI) aiming to suppress neurological tremor in upper limbs. 2533 86

Tremor is the most common movement disorder encountered during daily neurological practice. Tremor in the upper limbs causes functional disability and social inconvenience, impairing daily life activities. The response of tremor to pharmacotherapy is variable. Therefore, a combination of drugs is often required. Surgery is considered when the response to medications is not sufficient. However, about one third of patients are refractory to current treatments. New bioengineering therapies are emerging as possible alternatives. Our study was carried out in the framework of the European project "Tremor" (ICT-2007-224051). The main purpose of this challenging project was to develop and validate a new treatment for upper limb tremor based on the combination of functional electrical stimulation (FES; which has been shown to reduce upper limb tremor) with a brain-computer interface (BCI). A BCI-driven detection of voluntary movement is used to trigger FES in a closed-loop approach. Neurological tremor is detected using a matrix of EMG electrodes and inertial sensors embedded in a wearable textile. The identification of the intentionality of movement is a critical aspect to optimize this complex system. We propose a multimodal detection of the intentionality of movement by fusing signals from EEG, EMG and kinematic sensors (gyroscopes and accelerometry). Parameters of prediction of movement are extracted in order to provide global prediction plots and trigger FES properly. In particular, quality parameters (QPs) for the EEG signals, corticomuscular coherence and event-related desynchronization/synchronization (ERD/ERS) parameters are combined in an original algorithm which takes into account the refractoriness/responsiveness of tremor. A simulation study of the relationship between the threshold of ERD/ERS of artificial EEG traces and the QPs is also provided. Very interestingly, values of QPs were much greater than those obtained for the corticomuscular module alone.
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PMID:Quality parameters for a multimodal EEG/EMG/kinematic brain-computer interface (BCI) aiming to suppress neurological tremor in upper limbs. 0