Application of impedance cardiographic ambulatory monitoring device for analysis of central hemodynamic variability in atrial fibrillation

Cybulski, Gerard; Ziółkowska, Ewa; Książkiewicz, Andrzej; Lukasik, W.; Niewiadomski, Wiktor; Kodrzycka, A.; Pałko, T.

doi:10.1109/cic.1999.826033

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…Hemodynamic signals were recorded using the ambulatory monitor together with simultaneous collection of ECG signals to demonstrate the hemodynamic efficiency of pacing in arrhythmic patients (Cybulski et al 1997). Using the ambulatory monitor hemodynamic variability was also studied for patients with atrial fibrillation, and the results showed that these patients had increased variability of stroke volume than that of healthy adults (Cybulski et al 1999). …”

Section: Impedance Cardiographmentioning

confidence: 99%

Reduction of Skin Stretch Induced Motion Artifacts in Electrocardiogram Monitoring Using Adaptive Filtering

Liu

Pecht

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

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Cardiovascular disease (CVD) is the leading cause of death in many regionsworldwide, accounting for nearly one third of global deaths in 2001. Wearable electrocardiographic cardiovascular monitoring devices have contributed to reduce CVD mortality and cost by enabling the diagnosis of conditions with infrequent symptoms, the timely detection of critical signs that can be precursor to sudden cardiac death, and the long-term assessment/monitoring of symptoms, risk factors, and the effects of therapy. However, the effectiveness of ambulatory electrocardiography to improve the treatment of CVD can be significantly impaired by motion artifacts which can cause misdiagnoses, inappropriate treatment decisions, and trigger false alarms. Skin stretch associated with patient motion is a main source of motion artifact in current ECG monitors. A promising approach to reduce motion artifact is the use of adaptive filtering that utilizes a measured reference input correlated with the motion artifact to extract noise from the ECG signal. Previous attempts to apply adaptive filtering to electrocardiography have employed either electrode deformation or acceleration, body acceleration, or skin/electrode impedance as a reference input, and were not successful at reducing motion artifacts in a consistent and reproducible manner. This has been essentially attributed to the lack of correlation between the reference input selected and the induced noise.In this study, motion artifacts are adaptively filtered by using skin strain as the reference signal. Skin strain is measured non-invasively using a light emitting diode (LED) and an optical sensor incorporated in an ECG electrode. The optical strain sensor is calibrated on animal skin samples and finally in-vivo, in terms of sensitivity and measurement range. Skin stretch induced artifacts are extracted in-vivo using adaptive filters. The system and method are tested for different individuals and under various types of ambulatory conditions with the noise reduction performance quantified.

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Section: Impedance Cardiographmentioning

confidence: 99%

Reduction of Skin Stretch Induced Motion Artifacts in Electrocardiogram Monitoring Using Adaptive Filtering

Liu

Pecht

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

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“…These data were originally collected for other studies in order to analyse cardiac haemodynamics in atrial fibrillation patients [3] and in young healthy subjects participating in bedrest studies which were not included in the final paper [7].…”

Section: Methodsmentioning

confidence: 99%

“…Cybulski et al [3] analysed central haemodynamic variability in a small group of subjects who either had atrial fibrillation or were healthy. It was concluded that the variability of SV, estimated by the coefficient of variation, was mainly caused by changes in the amplitude of the signal and that variation in ET had a smaller effect.…”

Section: Motivationmentioning

confidence: 99%

Central Hemodynamic Variability During Sleep in Subjects with and without Atrial Fibrillation

Sitarek¹,

Cybulski

Gąsiorowska

et al. 2017

Computing in Cardiology Conference (CinC)

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The aim of this study was to develop a Matlab programme for quantitative evaluation and graphical presentation of haemodynamic variability parameters calculated from electrocardiography (ECG) and impedance cardiography (ICG) signals. We also sought to identify and compare patterns of variability in healthy subjects (N) and subjects with atrial fibrillation (AF).We analysed 3000 seconds of ECG and ICG signals acquired continuously during overnight, home recordings of six healthy male subjects (20-22, group N)

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“…However, limited data are available regarding fluctuations of hemodynamic parameters, especially during orthostatic tests. Cybulski et al [3] analysed central hemodynamic variability in a small group of subjects who either had atrial fibrillation or were healthy. It was concluded that the variability of SV, estimated by the coefficient of variation, was mainly caused by changes in the amplitude of the signal and that variation in ET has a smaller effect.…”

Section: Introductionmentioning

confidence: 99%

Short:term Hemodynamic Variability in Supine and Tilted Position in Young Women

Cybulski¹,

Koźluk²,

Piątkowska³

et al. 2016

2016 Computing in Cardiology Conference (CinC)

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The aim of the study was to evaluate short-term changes in hemodynamic parameters observed in supine and tilted positions. Six young women (age: 21-25) participated in the study. The cardiac inter-beat interval (RR), stroke volume (SV), ejection time (ET) and pre-ejection period (PEP) parameters were followed over two six-minute periods, in supine position and 10 minutes after a 60-degree head-up tilting manoeuvre, using continuously recorded impedance cardiography (ICG) and electrocardiography (ECG) signals. Hemodynamic variability was evaluated using standard deviation (SD), coefficient of variation (CV) and quartile deviation (QD). For the supine position, the mean (M), SD, CV and QD of the observed parameters were as follows.

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Application of impedance cardiographic ambulatory monitoring device for analysis of central hemodynamic variability in atrial fibrillation

Cited by 3 publications

References 7 publications

Reduction of Skin Stretch Induced Motion Artifacts in Electrocardiogram Monitoring Using Adaptive Filtering

Reduction of Skin Stretch Induced Motion Artifacts in Electrocardiogram Monitoring Using Adaptive Filtering

Central Hemodynamic Variability During Sleep in Subjects with and without Atrial Fibrillation

Short:term Hemodynamic Variability in Supine and Tilted Position in Young Women

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