M. Norymberg

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The TELAVIV system for computerised arrhythmia detection and identification in ambulatory ECGs has been extended to include a reliable and rapid computerised method for ST-segment analysis. It now incorporates self-learning analysis and classification of ST-segment changes. Some advantages for ST-segment analysis present in this algorithm are: (a) it(More)
BACKGROUND Epidemiologic studies on the effects of ambient temperature or industrial noise on the cardiovascular system have usually focused on blood pressure. However, the ambulatory ECG may be a sensitive instrument for evaluating transient changes in the myocardium associated with exposure to such environmental stressors. In particular, the presence of(More)
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