Methods Inf Med - Time-varying methods for characterizing nonstationary dynamics of physiological systems.

Tópicos

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Resumo

CKGROUND: Accurate and early diagnosis of various diseases and pathological conditions require analysis techniques that can capture time-varying (TV) dynamics. In the pursuit of promising TV signal processing methods applicable to real-time clinical monitoring applications, nonstationary spectral techniques are of great significance.OBJECTIVES: We present two potential practical applications of such techniques in quantifying TV physiological dynamics concealed in photoplethysmography (PPG) signals: early detection of blood-volume loss using a nonparametric approach known as variable frequency complex demodulation (VFCDM), and accurate detection of abrupt changes in respiratory rates using a parametric approach known as combined optimal parameter search and multiple mode particle filtering (COPS-MPF).METHODS: The VFCDM technique has been tested using ear-PPG signals in two study models: mechanically ventilated patients undergoing surgery in operating room settings and spontaneously breathing conscious healthy subjects subjected to lower body negative pressure (LBNP) in laboratory settings. Extraction of respiratory rates has been tested using COPS-MPF technique in finger-PPG signals collected from healthy volunteers with abrupt changes in respiratory rate ranging from 0.1 to 0.4 Hz.RESULTS: VFCDM method showed promise to detect the blood loss noninvasively in mechanical ventilated patients well before blood losses become apparent to the physician. In spontaneously breathing subjects during LBNP experiments, the early detection and quantification of blood loss was possible at 40% of LBNP tolerance. COPS-MPF showed high accuracy in detecting the constant as well as sudden changes in respiratory rates as compared to other time-invariant methods.CONCLUSION: Integration of such robust algorithms into pulse oximeter device may have significant impact in real-time clinical monitoring and point-of-care healthcare settings.

Resumo Limpo

ckground accur earli diagnosi various diseas patholog condit requir analysi techniqu can captur timevari tv dynam pursuit promis tv signal process method applic realtim clinic monitor applic nonstationari spectral techniqu great significanceobject present two potenti practic applic techniqu quantifi tv physiolog dynam conceal photoplethysmographi ppg signal earli detect bloodvolum loss use nonparametr approach known variabl frequenc complex demodul vfcdm accur detect abrupt chang respiratori rate use parametr approach known combin optim paramet search multipl mode particl filter copsmpfmethod vfcdm techniqu test use earppg signal two studi model mechan ventil patient undergo surgeri oper room set spontan breath conscious healthi subject subject lower bodi negat pressur lbnp laboratori set extract respiratori rate test use copsmpf techniqu fingerppg signal collect healthi volunt abrupt chang respiratori rate rang hzresult vfcdm method show promis detect blood loss noninvas mechan ventil patient well blood loss becom appar physician spontan breath subject lbnp experi earli detect quantif blood loss possibl lbnp toler copsmpf show high accuraci detect constant well sudden chang respiratori rate compar timeinvari methodsconclus integr robust algorithm puls oximet devic may signific impact realtim clinic monitor pointofcar healthcar set

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