Hemodynamic Parameters and Cardiovascular Changes

Editorial

03 January 2025

Editorial: Hemodynamic parameters and cardiovascular changes

Tania Pereira

Kais Gadhoumi

and

Ran Xiao

655 views

0 citations

Editors

Tania Pereira

Institute for Systems and Computer Engineering, Technology and Science, Faculty of Engineering, University of Porto

Impact

Review

05 September 2024

Risk factors and predictive indicators of rupture in cerebral aneurysms

Xiguang Wang

and

Xu Huang

2,640 views

3 citations

Original Research

10 June 2024

Robust arterial compliance estimation with Katz’s fractal dimension of photoplethysmography

Xiaoman Xing

, 4 more and

Wen-Fei Dong

2,392 views

0 citations

Histograms of the dynamical metrics of preoperative SBP. Normal distributions with the same mean and SD as the data (red lines) are overlaid on each histogram. Abbreviations: ARV, average real variability; BPF, blood pressure fragmentation; SBP, systolic blood pressure; SD, standard deviation.

Original Research

09 February 2024

Blood pressure fragmentation as a new measure of blood pressure variability: association with predictors of cardiac surgery outcomes

Madalena D. Costa

, 5 more and

Balachundhar Subramaniam

2,769 views

1 citations

Original Research

09 September 2020

Continuous Blood Pressure Estimation From Electrocardiogram and Photoplethysmogram During Arrhythmias

ZengDing Liu

, 3 more and

Fen Miao

Objective: Continuous blood pressure (BP) provides valuable information for the disease management of patients with arrhythmias. The traditional intra-arterial method is too invasive for routine healthcare settings, whereas cuff-based devices are inferior in reliability and comfortable for long-term BP monitoring during arrhythmias. The study aimed to investigate an indirect method for continuous and cuff-less BP estimation based on electrocardiogram (ECG) and photoplethysmogram (PPG) signals during arrhythmias and to test its reliability for the determination of BP using invasive BP (IBP) as reference.

Methods: Thirty-five clinically stable patients (15 with ventricular arrhythmias and 20 with supraventricular arrhythmias) who had undergone radiofrequency ablation were enrolled in this study. Their ECG, PPG, and femoral arterial IBP signals were simultaneously recorded with a multi-parameter monitoring system. Fifteen features that have the potential ability in indicating beat-to-beat BP changes during arrhythmias were extracted from the ECG and PPG signals. Four machine learning algorithms, decision tree regression (DTR), support vector machine regression (SVR), adaptive boosting regression (AdaboostR), and random forest regression (RFR), were then implemented to develop the BP models.

Results: The results showed that the mean value ± standard deviation of root mean square error for the estimated systolic BP (SBP), diastolic BP (DBP) with the RFR model against the reference in all patients were 5.87 ± 3.13 and 3.52 ± 1.38 mmHg, respectively, which achieved the best performance among all the models. Furthermore, the mean error ± standard deviation of error between the estimated SBP and DBP with the RFR model against the reference in all patients were −0.04 ± 6.11 and 0.11 ± 3.62 mmHg, respectively, which complied with the Association for the Advancement of Medical Instrumentation and the British Hypertension Society (Grade A) standards.

Conclusion: The results indicated that the utilization of ECG and PPG signals has the potential to enable cuff-less and continuous BP estimation in an indirect way for patients with arrhythmias.

11,510 views

30 citations

Overview of the method for analyzing the response characteristics of the peripheral arterial stiffness index to sensory stimuli. The method comprises three parts: Measurements and stimuli, biosignal processing, and transient analyses. I: stimulus current intensity; T: stimulus temperature; ABP: arterial blood pressure; S(s): the Laplace transform of stimulus intensity; Hβ(s) and HP(s): transfer functions of peripheral arterial stiffness index β and palm sweat rate P, respectively.

Original Research

08 January 2024

Noninvasive characterization of peripheral sympathetic activation across sensory stimuli using a peripheral arterial stiffness index

Ziqiang Xu

, 3 more and

Toshio Tsuji

1,399 views

0 citations

Methods

22 September 2017

How Nonlinear-Type Time-Frequency Analysis Can Help in Sensing Instantaneous Heart Rate and Instantaneous Respiratory Rate from Photoplethysmography in a Reliable Way

Antonio Cicone

and

Hau-Tieng Wu

Despite the population of the noninvasive, economic, comfortable, and easy-to-install photoplethysmography (PPG), it is still lacking a mathematically rigorous and stable algorithm which is able to simultaneously extract from a single-channel PPG signal the instantaneous heart rate (IHR) and the instantaneous respiratory rate (IRR). In this paper, a novel algorithm called deppG is provided to tackle this challenge. deppG is composed of two theoretically solid nonlinear-type time-frequency analyses techniques, the de-shape short time Fourier transform and the synchrosqueezing transform, which allows us to extract the instantaneous physiological information from the PPG signal in a reliable way. To test its performance, in addition to validating the algorithm by a simulated signal and discussing the meaning of “instantaneous,” the algorithm is applied to two publicly available batch databases, the Capnobase and the ICASSP 2015 signal processing cup. The former contains PPG signals relative to spontaneous or controlled breathing in static patients, and the latter is made up of PPG signals collected from subjects doing intense physical activities. The accuracies of the estimated IHR and IRR are compared with the ones obtained by other methods, and represent the state-of-the-art in this field of research. The results suggest the potential of deppG to extract instantaneous physiological information from a signal acquired from widely available wearable devices, even when a subject carries out intense physical activities.

6,075 views

30 citations

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