Báo cáo hóa học: " On the feasibility of tilt test outcome early prediction using ECG and pressure parameters"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: On the feasibility of tilt test outcome early prediction using ECG and pressure parameters | Gimeno-Blanes et al. EURASIP Journal on Advances in Signal Processing 2011 2011 33 http content 2011 1 33 o EURASIP Journal on Advances in Signal Processing a SpringerOpen Journal RESEARCH Open Access On the feasibility of tilt test outcome early prediction using ECG and pressure parameters FJ Gimeno-Blanes 1 JL Rojo-Álvarez3 AJ Caamano3 JA Flores-Yepes1 and A García-Alberola2 Abstract The tilt test is a valuable clinical tool for vasovagal syncope VVS diagnostic and its early prediction from simple ECG and blood pressure-based parameters has widely been studied in the literature. However no practical system is currently used in the clinical setting for the early prediction of the tilt test outcome. The objectives of this study were 1 to benchmark the early prediction performance of all the previously proposed parameters when nonlinearly combined 2 to try to improve this performance with the inclusion of additional information and processing techniques. We analyzed a database of 727 consecutive cases of tilt test. Previously proposed features were measured from heart rate and systolic diastolic pressure tachograms in several representative signal segments. We aimed to improve the prediction performance first using new nonlinear features detrended fluctuation analysis and sample entropy second using a multivariable nonlinear classifier support vector machine and finally including additional physiological signals stroke volume . The predictive performance of the nonlinearly combined previously proposed features was limited area under receiver operating characteristic curve ROC especially at the beginning of the test which is the most clinically relevant period. The improvement with additional available physiological information was limited too. We conclude that the use of a system for tilt test outcome prediction with current knowledge and processing should be considered with caution and that further effort has to be devoted to .

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