Measurement of cardiovascular state using attractor reconstruction analysis

@article{Charlton2015MeasurementOC,
  title={Measurement of cardiovascular state using attractor reconstruction analysis},
  author={P. Charlton and L. Camporota and J. Smith and M. Nandi and Mark Christie and P. Aston and R. Beale},
  journal={2015 23rd European Signal Processing Conference (EUSIPCO)},
  year={2015},
  pages={444-448}
}
Attractor reconstruction (AR) analysis has been used previously to quantify the variability in arterial blood pressure (ABP) signals. Since ABP signals are only available in a minority of clinical scenarios, we sought to determine whether AR could also be performed on more widely available pho-toplethysmogram (PPG) signals. AR analysis was performed on simultaneous ABP and PPG signals before, during and after a change in cardiovascular state. A novel quality metric was used to eliminate windows… Expand
Attractor Reconstruction Analysis for Blood Flow Signals
TLDR
This study shows that ARA of BF signals can identify different microvascular functional states and thus has a potential for the clinical assessment and diagnosis of pathophysiological condition. Expand
Beyond HRV: attractor reconstruction using the entire cardiovascular waveform data for novel feature extraction
TLDR
A new method for analysing blood pressure data is developed and analysed that uses all of the waveform data and hence can detect changes in the wave form shape that HRV methods cannot, and hence goes ‘beyond HRV’. Expand
A novel method to quantify arterial pulse waveform morphology: attractor reconstruction for physiologists and clinicians
TLDR
A new mathematical method, attractor reconstruction, which enables the quantification of arterial waveform shape and variability in real-time, which may supplement and potentially enhance the sensitivity of detecting cardiovascular disturbances, to aid with biomedical research and clinical decision making. Expand
Beyond HRV: Analysis of ECG signals using attractor reconstruction
TLDR
It is shown that theractor reconstruction analysis method gives high accuracy in identifying gender from ECG signals, performing significantly better than the same classification by interval measures. Expand
Investigating the Response to Dofetilide with Symmetric Projection Attractor Reconstruction of the Electrocardiogram
TLDR
It is shown that the SPAR technique correlates with standard assessment, and is also able to discriminate gender from the ECG response to dofetilide more accurately than the standard metrics. Expand
Investigating the Response to Dofetilide with Symmetric Projection Attractor Reconstruction of the Electrocardiogram
The aim of this study is a preliminary investigation into the application of our novel Symmetric Projection Attractor Reconstruction (SPAR) method to the electrocardiogram (ECG) signals ofExpand
Symmetric Projection Attractor Reconstruction analysis of murine electrocardiograms: Retrospective prediction of Scn5a+/- genetic mutation attributable to Brugada syndrome
TLDR
A new method for ECG analysis that uses all the waveform data with machine learning to improve detection of genetic mutations from short ECG signals in a mouse model, and detects consequences of Na+ channel deficiencies known to compromise action potential conduction using the Symmetric Projection Attractor Reconstruction method. Expand

References

SHOWING 1-10 OF 11 REFERENCES
Comparison of attractor reconstruction and HRV methods for analysing blood pressure data
TLDR
This work reviews a recently proposed new approach for analysing high frequency blood pressure or ECG data based on attractor reconstruction and compares it to heart rate variability that analyses the beat-to-beat intervals. Expand
Optimising the Windkessel model for cardiac output monitoring during changes in vascular tone
TLDR
It is found that the most accurate algorithms assumed a constant compliance for the duration of the beat by maintaining the compliance and outflow terms in the Windkessel model. Expand
Do heart and respiratory rate variability improve prediction of extubation outcomes in critically ill patients?
TLDR
A predictive model using RRV during the last SBT provided optimal accuracy of prediction in all patients, with improved accuracy when combined with clinical impression or RSBI, and requires a validation cohort to evaluate accuracy and generalizability. Expand
Heart rate variability predicts trauma patient outcome as early as 12 h: implications for military and civilian triage.
TLDR
Dense physiological data capture allows calculation of HRV, which independently predicts hospital death in trauma patients at 12 h and shows early differences by mortality in groups of patients when viewed in a moving window, which may have implications for military and civilian triage. Expand
Embedding Nonlinear Dynamical Systems: A Guide to Takens' Theorem
The embedding theorem forms a bridge between the theory of nonlinear dynamical systems and the analysis of experimental time series. This memorandum describes the theorem and gives a detailed accountExpand
A comparison of Antecedents to Cardiac Arrests, Deaths and EMergency Intensive care Admissions in Australia and New Zealand, and the United Kingdom—the ACADEMIA study
TLDR
The data confirm antecedents are common before death, cardiac arrest, and unanticipated ICU admission, and the study shows differences in patterns of primary events, the provision of ICU/HDU beds and resuscitation teams, between the UK and ANZ. Expand
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
TLDR
An alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability. Expand
fects of norepinephrine - driven change in arterial blood pressure on four different continuous cardiac output systems in critically ill patients
  • Intensive Care Medicine
  • 1993
...
1
2
...