1,721,054 research outputs found
Condition monitoring of parkinson pathological tremor for functional electrical stimulation control
No full textThe aim of this work is to identify the correlation of accelerometric and electromyographic signals and the difference between healthy patients (control group) and patients affected by Parkinson disease (PD) and essential tremor (ET). The vibrational phenomena studied in this work regards the forearm and hand vibration that are monitored by means of SEMG (surface electro-myographic) sensor and accelerometer sensor with the purpose to detect and recognize the dynamic properties of onset of pathological tremor in patients affected by (PD) and (ET). PD and ET present a typical characteristic vibration frequency between 3Hz and 12Hz, this property is monitored in out-patient tests. Two condition monitoring systems have been developed and deep described to monitor the tremor: the former system allows data monitoring with a portable lightweight microcontroller board powered with low voltage batteries (5Volt); and the latter is based on a CompactRio data acquisition system with a chassis controller module designed for data input, controlling and output generation, powered by 12 Volt battery. The CRio System provide an algorithm to generate functional electrical stimulation signals for control purpose. Experimental measurement data on healthy control subjects are presented. Data are analyzed, and results are presented
Classification of early-mild subjects with Parkinson's disease by using sensor-based measures of posture, gait, and transitions
No full textEvaluation of posture, gait, turning, and different kind of transitions, are key components of the clinical evaluation of Parkinson's disease (PD). The aim of this study is to assess the feasibility of using accelerometers to classify early PD subjects (two evaluations over a 1-year follow-up) with respect to age-matched control subjects. Classifying PD subjects in an early stage would permit to obtain a tool able to follow the progression of the disease from the early phases till the last ones and to evaluate the efficacy of different treatments. Two functional tests were instrumented by a single accelerometer (quiet standing, Timed Up and Go test); such tests carry quantitative information about impairments in posture, gait, and transitions (i.e. Sit-to-Walk, and Walk-to-Sit, Turning). Satisfactory accuracies are obtained in the classification of PD subjects by using an ad hoc wrapper feature selection technique. © 2013 Springer-Verlag
Botulin toxin type A (BTA) for esophageal achalasia: a double-edged sword.
No full textBotulin toxin in esophageal achalasi
Quantification of motor impairment in Parkinson's disease using an instrumented timed up and go test.
No full textThe Timed Up and Go (TUG) test is a clinical test to assess mobility in Parkinson's disease (PD). It consists of rising from a chair, walking, turning, and sitting. Its total duration is the traditional clinical outcome. In this study an instrumented TUG (iTUG) was used to supplement the quantitative information about the TUG performance of PD subjects: a single accelerometer, worn at the lower back, was used to record the acceleration signals during the test and acceleration-derived measures were extracted from the recorded signals. The aim was to select reliable measures to identify and quantify the differences between the motor patterns of healthy and PD subjects; in order to do so, besides comparing each measure individually to find significant group differences, feature selection and classification were used to identify the distinctive motor pattern of PD subjects. A subset of three features (two from Turning, one from the Sit-to-Walk component), combined with an easily-interpretable classifier (Linear Discriminant Analysis), was found to have the best accuracy in discriminating between healthy and early-mild PD subjects. These results suggest that the proposed iTUG can characterize PD motor impairment and, hence, may be used for evaluation, and, prospectively, follow-up, and monitoring of disease progression
False positive absent somatosensory evoked potentials in cardiac arrest with therapeutic hypothermia.
No full textN
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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