NDLI: Prediction of neurally mediated syncope based on heart rate and pulse arrival time

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Prediction of neurally mediated syncope based on heart rate and pulse arrival time

Content Provider	Semantic Scholar
Author	Eickholt, Christian Drexel, Thomas Muehlsteff, Jens Ritz, Anita Siekiera, Markus Kirmanoglou, Kiriakos Shin, Dong-In Blazer, Jennifer Rassaf, Tienush Kelm, Malte Meyer, Christian P. De
Copyright Year	2012
Abstract	Prediction of neurally mediated syncope based on heart rate and pulse arrival time Christian Eickholt1, Thomas Drexel1, Jens Muhlsteff2,Anita Ritz1, Markus Siekiera1, Kiriakos Kirmanoglou1, Dong-In Shin1, Jan Balzer1, Tienush Rassaf1, Malte Kelm1, Christian Meyer1 Background: We previously presented a novel approach based on body-worn sensors to predict neurally mediated syncope (NMS). The aim of the present study was to prospectively validate this syncope warning system during head-up tilt table testing. Methods and Results: Simultaneous heart rate (HR) and pulse wave changes in 19 consecutive syncopepatients undergoing 70° head-up tilt table testing, generated a syncope risk score that triggered a syncope prediction alarm. The pulsearrival time (PAT) was defined as the time between the R-peak in theelectrocardiogram and the onset of the pulse wave in the photoplethysmogram. With a syncope prediction alarm based on HR and PAT, all syncopes were detected. No false alarm was generated in patients withnegative HUT. The mean duration between the syncope prediction alarm and the occurrence of syncope was 97±48s. Conclusions: PredictingNMS is feasible based on continous heart rate and pulse arrival timeanalysis. This approach might improve NMS management.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://repository.tudelft.nl/assets/uuid:741e4ee5-d781-4eda-b996-b6121b3e80f5/MS-32.751.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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