Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0598853 (forgetting)
 3,232 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A case of unilateral infarct in the territory of the left internal cerebral vein, severely disturbing cognitive processes, and more especially recall in verbal memory, is reported. This 22-year-old patient survived a left thalamic and striato-capsular infarct related to a straight sinus and left internal cerebral vein thrombosis. Motor and functional recovery was fair, despite late dystonia. At the secondary phase post-stroke, cognitive disorders were severe, including increased short-term forgetting and episodic (anterograde and retrograde) and semantic amnesia. One year later, a residual deficit of verbal recall was observed, which participated in the anterograde and retrograde amnesia. Recognition was well preserved. This case showed that: (1) internal cerebral vein thrombosis can have severe consequences on cognition and memory, and that late prognosis is not as fair as has been previously reported in selected patients, and (2) left diencephalic structures are specifically associated with recollection of verbal information from long-term memory.
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PMID:[Residual deficit of verbal recall after a left internal cerebral vein infarct]. 977 71

Surface electromyograms (EMGs) are valuable in the pathophysiological study and clinical treatment for dystonia. These recordings are critically often contaminated by cardiac artefact. Our objective of this study was to evaluate the performance of an adaptive noise cancellation filter in removing electrocardiogram (ECG) interference from surface EMGs recorded from the trapezius muscles of patients with cervical dystonia. Performance of the proposed recursive-least-square adaptive filter was first quantified by coherence and signal-to-noise ratio measures in simulated noisy EMG signals. The influence of parameters such as the signal-to-noise ratio, forgetting factor, filter order and regularization factor were assessed. Fast convergence of the recursive-least-square algorithm enabled the filter to track complex dystonic EMGs and effectively remove ECG noise. This adaptive filter procedure proved a reliable and efficient tool to remove ECG artefact from surface EMGs with mixed and varied patterns of transient, short and long lasting dystonic contractions.
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PMID:Removing ECG noise from surface EMG signals using adaptive filtering. 1955 51