ArticlePhysiological measurement2018
Beyond HRV: attractor reconstruction using the entire cardiovascular waveform data for novel feature extraction.
Article in Physiological measurement, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Harmonic-Selective Gaussian Filtering for Morphology and Timing Preservation in PPG Signals.Sensors (Basel, Switzerland) · 2026Article
- Classification of paroxysmal atrial fibrillation using sinus rhythm electrocardiograms using the symmetric projection attractor reconstruction method.Scientific reports · 2026Article
- Assessment of Physiological Signals from Photoplethysmography Sensors Compared to an Electrocardiogram Sensor: A Validation Study in Daily Life.Sensors (Basel, Switzerland) · 2024Article
- Article
- Photoplethysmogram beat detection using Symmetric Projection Attractor Reconstruction.Frontiers in physiology · 2024Article
- Novel breathing pattern analysis: Symmetric Projection Attractor Reconstruction improves identification of impending COPD re-exacerbations - a retrospective cohort analysis.ERJ open research · 2023Article
- Attractor Reconstruction for Quantifying the Arterial Pulse Wave Morphology During Device-Guided Slow Breathing.Cardiovascular engineering and technology · 2022Article
- Detecting beats in the photoplethysmogram: benchmarking open-source algorithms.Physiological measurement · 2022Article
- Detecting paroxysmal atrial fibrillation from normal sinus rhythm in equine athletes using Symmetric Projection Attractor Reconstruction and machine learning.Cardiovascular digital health journal · 2022Article
- Wearable Photoplethysmography for Cardiovascular Monitoring.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022Article
- Robustness of convolutional neural networks to physiological electrocardiogram noise.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Article
- Attention-based multi-scale features fusion for unobtrusive atrial fibrillation detection using ballistocardiogram signal.Biomedical engineering online · 2021Article
- Symmetric Projection Attractor Reconstruction: Sex Differences in the ECG.Frontiers in cardiovascular medicine · 2021Article
- Symmetric Projection Attractor Reconstruction analysis of murine electrocardiograms: Retrospective prediction of Scn5aHeart rhythm O2 · 2020Article
- Rethinking animal models of sepsis - working towards improved clinical translation whilst integrating the 3Rs.Clinical science (London, England : 1979) · 2020Review
- A novel method to quantify arterial pulse waveform morphology: attractor reconstruction for physiologists and clinicians.Physiological measurement · 2018Article
- Advanced waveform analysis of the photoplethysmogram signal using complementary signal processing techniques for the extraction of biomarkers of cardiovascular function.JRSM cardiovascular diseaseArticle
- Cardiovascular waveforms - can we extract more from routine signals?JRSM cardiovascular diseaseArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Advances in monitoring technology allow blood pressure waveforms to be collected at sampling frequencies of 250-1000 Hz for long time periods. However, much of the raw data are under-analysed. Heart rate variability (HRV) methods, in which beat-to-beat interval lengths are extracted and analysed, have been extensively studied. However, this approach discards the majority of the raw data.
objectiveOur aim is to detect changes in the shape of the waveform in long streams of blood pressure data. APPROACH: Our approach involves extracting key features from large complex data sets by generating a reconstructed attractor in a three-dimensional phase space using delay coordinates from a window of the entire raw waveform data. The naturally occurring baseline variation is removed by projecting the attractor onto a plane from which new quantitative measures are obtained. The time window is moved through the data to give a collection of signals which relate to various aspects of the waveform shape. MAIN
resultsThis approach enables visualisation and quantification of changes in the waveform shape and has been applied to blood pressure data collected from conscious unrestrained mice and to human blood pressure data. The interpretation of the attractor measures is aided by the analysis of simple artificial waveforms. SIGNIFICANCE: We have developed and analysed a new method for analysing blood pressure data that uses all of the waveform data and hence can detect changes in the waveform shape that HRV methods cannot, which is confirmed with an example, and hence our method goes 'beyond HRV'.
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