Med Biol Eng Comput - Multivariate short-term heart rate variability: a pre-diagnostic tool for screening heart disease.

Tópicos

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Resumo

This study has aimed to develop a novel pre-diagnostic tool for primary care screening of heart disease based on multivariate short-term heart rate variability (HRV) analyzed by linear (time and frequency domain) and nonlinear methods (compression entropy (CE), detrended fluctuation analysis (DFA), Poincar? plot analysis, symbolic dynamics) applied to 5-min ECG segments. Firstly, we applied HRV analysis to separate healthy subjects (REF) from heart disease patients (PAT). Then to optimize the results, we subdivided both groups according to gender: REF ( = 78, = 53) versus PAT ( = 378, = 115). Finally, we divided REF and PAT into two age subgroups (30-50 years vs. 51-70 years of age) to consider the influence of age on HRV. Heart disease patients were classified using a scoring system based on cut-off values calculated from all HRV indices obtained from the REF. After combining the optimum indices from all different analyzing methods, sensitivities of more than 72% and a specificity of 100% in all subgroups were revealed. Nonlinear indices proved to be better for discriminating heart disease patients from healthy subjects. Multivariate short-term HRV, analyzed by both linear and nonlinear methods appears to be a suitable pre-diagnostic tool for screening heart disease in primary care settings.

Resumo Limpo

studi aim develop novel prediagnost tool primari care screen heart diseas base multivari shortterm heart rate variabl hrv analyz linear time frequenc domain nonlinear method compress entropi ce detrend fluctuat analysi dfa poincar plot analysi symbol dynam appli min ecg segment first appli hrv analysi separ healthi subject ref heart diseas patient pat optim result subdivid group accord gender ref versus pat final divid ref pat two age subgroup year vs year age consid influenc age hrv heart diseas patient classifi use score system base cutoff valu calcul hrv indic obtain ref combin optimum indic differ analyz method sensit specif subgroup reveal nonlinear indic prove better discrimin heart diseas patient healthi subject multivari shortterm hrv analyz linear nonlinear method appear suitabl prediagnost tool screen heart diseas primari care set

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