Comput. Biol. Med. - Reducing sojourn points from recurrence plots to improve transition detection: Application to fetal heart rate transitions.

Tópicos

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Resumo

The analysis of biomedical signals demonstrating complexity through recurrence plots is challenging. Quantification of recurrences is often biased by sojourn points that hide dynamic transitions. To overcome this problem, time series have previously been embedded at high dimensions. However, no one has quantified the elimination of sojourn points and rate of detection, nor the enhancement of transition detection has been investigated. This paper reports our on-going efforts to improve the detection of dynamic transitions from logistic maps and fetal hearts by reducing sojourn points. Three signal-based recurrence plots were developed, i.e. embedded with specific settings, derivative-based and m-time pattern. Determinism, cross-determinism and percentage of reduced sojourn points were computed to detect transitions. For logistic maps, an increase of 50% and 34.3% in sensitivity of detection over alternatives was achieved by m-time pattern and embedded recurrence plots with specific settings, respectively, and with a 100% specificity. For fetal heart rates, embedded recurrence plots with specific settings provided the best performance, followed by derivative-based recurrence plot, then unembedded recurrence plot using the determinism parameter. The relative errors between healthy and distressed fetuses were 153%, 95% and 91%. More than 50% of sojourn points were eliminated, allowing better detection of heart transitions triggered by gaseous exchange factors. This could be significant in improving the diagnosis of fetal state.

Resumo Limpo

analysi biomed signal demonstr complex recurr plot challeng quantif recurr often bias sojourn point hide dynam transit overcom problem time seri previous embed high dimens howev one quantifi elimin sojourn point rate detect enhanc transit detect investig paper report ongo effort improv detect dynam transit logist map fetal heart reduc sojourn point three signalbas recurr plot develop ie embed specif set derivativebas mtime pattern determin crossdetermin percentag reduc sojourn point comput detect transit logist map increas sensit detect altern achiev mtime pattern embed recurr plot specif set respect specif fetal heart rate embed recurr plot specif set provid best perform follow derivativebas recurr plot unembed recurr plot use determin paramet relat error healthi distress fetus sojourn point elimin allow better detect heart transit trigger gaseous exchang factor signific improv diagnosi fetal state

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