A novel method to quantify arterial pulse waveform morphology: attractor reconstruction for physiologists and clinicians.
Authors of this article are:
Nandi M Venton J Aston PJ.
A summary of the article is shown below:
Current arterial pulse monitoring systems capture data at high frequencies (100-1000Hz). However, they typically report averaged or low frequency summary data such as heart rate and systolic, mean and diastolic blood pressure. In doing so, a potential wealth of information contained in the high fidelity waveform data is discarded, data which has long been known to contain useful information on cardiovascular performance. Here we summarise a new mathematical method, attractor reconstruction, which enables the quantification of arterial waveform shape and variability in real-time. The method can handle long streams of non-stationary data and does not require preprocessing of the raw physiological data by the end user. Whilst the detailed mathematical proofs have been described elsewhere (Aston et al., 2018), the authors were motivated to write a summary of the method and its potential utility for biomedical researchers, physiologists and clinician readers. Here we illustrate how this new method may supplement and potentially enhance the sen- sitivity of detecting cardiovascular disturbances, to aid with biomedical research and clinical decision making.
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This article is a good source of information and a good way to become familiar with topics such as: Attractor reconstruction;Morphology;Variability;arterial pulse waveform;cardiovascular physiology.
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