Predicting neurally mediated @entity1163 based on XXXX : algorithm development and preliminary results.

@entity1 @entity135 @entity1605 @entity907 @entity1163 @entity909 @entity1296 @entity1054
BACKGROUND: @entity907 ( @entity907 ) is a common disorder that is triggered by orthostatic stress. The circulatory adjustments to orthostatic stress occur just prior to a @entity909 . @entity907 prediction would protect @entity1 from falls or accidents. METHODS AND RESULTS: Based on simultaneously recorded heart rate (HR) and pulse wave during 70   @entity135 ( @entity135 ) table testing we investigated a @entity1163 warning system. In 14 @entity1 with a history of suspected @entity907 we tested 2 algorithms based on HR and/or @entity1054 ( @entity1605 ). When the cumulative risk exceeded the threshold, which was calculated during the first 2 minutes following the posture change to upright position, a @entity1163 prediction alarm was triggered. All @entity1163 (n = 7) were detected more than 16 seconds before the onset of @entity1296 or @entity909 by using a prediction alarm based on HR and @entity1605 ( @entity1163 @entity1605 ). No false alarm was generated in @entity1 with negative @entity135 (n = 7). Syncope prediction was improved by detecting the slope of HR changes as compared with monitoring @entity1605 changes alone ( @entity1163 prediction algorithm 1). The duration between the prediction alarm and the occurrence of @entity1163 was 99    108 seconds. CONCLUSION: Predicting @entity907 is feasible by monitoring HR and the onset of the pulse wave at the periphery. This approach might improve @entity907 management.
