Noninvasive assessment of cardiovascular health by Xiao, Xinshu

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Computational Analysis of Cardiovascular Hemodynamics by Shim, Eun Bo, Heldt, Thomas, Amano, Akira, Rhee, Kyehan

“…Over the past 50 years, mathematical modeling has become a powerful adjunct to such studies, as modeling provides a rational framework within which to analyze the cardiovascular system.…”
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Identification of Multichannel Cardiovascular Dynamics Using Dual Laguerre Basis Functions for Noninvasive Cardiovascular Monitoring by McCombie, D. B., Asada, Harry, Reisner, Andrew T., Hahn, Jin-Oh, Hojman, H. M.

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Computational models of cardiovascular response to orthostatic stress by Heldt, Thomas, 1972-

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CVSim: An Open-Source Cardiovascular Simulator for Teaching and Research by Heldt, Thomas, Mukkamala, Ramakrishna, Moody, George B., Mark, Roger Greenwood

“…CVSim is a lumped-parameter model of the human cardiovascular system that has been developed and used for research and for teaching quantitative physiology courses at MIT and Harvard Medical School since 1984. …”
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Detection and characterization of translational research in cancer and cardiovascular medicine by Jones, David Shumway, Cambrosio, Alberto, Andrei, Mogoutov

“…Methods We downloaded bibliographic and citation data from all articles published in 2009 in the 75 leading journals in cancer and in cardiovascular medicine (roughly 15,000 articles for each field). …”
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Physiological homology between Drosophila melanogaster and vertebrate cardiovascular systems by Choma, Michael A., Suter, Melissa J., Vakoc, Benjamin, Bouma, Brett E., Tearney, Guillermo J.

“…The physiology of the Drosophila melanogaster cardiovascular system remains poorly characterized compared with its vertebrate counterparts. …”
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Harnessing the Mesenchymal Stem Cell Secretome for the Treatment of Cardiovascular Disease by Ranganath, Sudhir H., Levy, Oren, Inamdar, Maneesha S., Karp, Jeffrey Michael, Ranganath, Sudhir H.

“…The broad repertoire of secreted trophic and immunomodulatory cytokines produced by mesenchymal stem cells (MSCs), generally referred to as the MSC secretome, has considerable potential for the treatment of cardiovascular disease. However, harnessing this MSC secretome for meaningful therapeutic outcomes is challenging due to the limited control of cytokine production following their transplantation. …”
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Braveheart, a Long Noncoding RNA Required for Cardiovascular Lineage Commitment by Klattenhoff, Carla A., Scheuermann, Johanna C., Surface, Lauren E., Bradley, Robert K., Fields, Paul A., Steinhauser, Matthew L., Ding, Huiming, Torrey, Lillian, Haas, Simon, Abo, Ryan, Tabebordbar, Mohammadsharif, Lee, Richard T., Burge, Christopher B., Klattenhoff, Carla A., Scheuermann, Johanna C., Bradley, Robert K., Fields, Paul A., Butty, Vincent L G, Boyer, Laurie Ann, Surface, Lauren Elizabeth, Burge, Christopher B

“…We find that Bvht is necessary for activation of a core cardiovascular gene network and functions upstream of mesoderm posterior 1 (MesP1), a master regulator of a common multipotent cardiovascular progenitor. …”
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Use of Pressure-volume Conductance Catheters in Real-time Cardiovascular Experimentation by Wei, Abraham E., Maslov, Mikhail Y., Pezone, Matthew J., Lovich, Mark A., Edelman, Elazer R

“…Background: Most applications of pressure-volume conductance catheter measurements assess cardiovascular function at a single point in time after genetic, pharmacologic, infectious, nutritional, or toxicologic manipulation. …”
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Amniotic Fluid-Derived Stem Cells for Cardiovascular Tissue Engineering Applications by Petsche Connell, Jennifer, Camci-Unal, Gulden, Khademhosseini, Ali, Jacot, Jeffrey G.

“…These applications show great promise in the treatment of congenital cardiovascular defects, and further studies of isolation, culture, and differentiation of AFSC will help to develop their use for tissue engineering, regenerative medicine, and cardiovascular therapies.…”
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A Unified Point Process Framework for Assessing Heartbeat Dynamics and Cardiovascular Control by Chen, Zhe, Brown, Emery N., Barbieri, Riccardo

“…We present a unified probabilistic point process framework to estimate and monitor the instantaneous heartbeat dynamics as related to specific cardiovascular control mechanisms and hemodynamics. Assessment of the model's statistics is established through the Wiener-Volterra theory and a multivariate autoregressive (AR) structure. …”
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Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing by Chen, Zhe, Barbieri, Riccardo

“…With cardiovascular diseases being among the main causes of death in the world, quantitative modeling, assessment and monitoring of cardiovascular dynamics, and functioning play a critical role in bringing important breakthroughs to cardiovascular care. …”
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Longitudinal Genome-Wide Association of Cardiovascular Disease Risk Factors in the Bogalusa Heart Study by Peltonen, Leena, Smith, Erin N., Chen, Wei, Kahonen, Mika, Kettunen, Johannes, Lehtimaki, Terho, Raitakari, Olli T., Salem, Rany M., Schork, Nicholas J., Shaw, Marian, Srinivasan, Sathanur R., Topol, Eric J., Viikari, Jorma S., Berenson, Gerald S., Murray, Sarah S.

“…Cardiovascular disease (CVD) is the leading cause of death worldwide. …”
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Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndrome by Scirica, Benjamin M., Liu, Yun, Stultz, Collin M, Guttag, John V

“…Relative to frequency, beatquency improved the ability of LF/HF to predict cardiovascular death within one year (Area Under the Curve, or AUC, of 0.730 vs. 0.704, p < 0.001). …”
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Atrial fibrillation and risks of cardiovascular disease, renal disease, and death: systematic review and meta-analysis by Odutayo, Ayodele, Wong, Christopher X, Hopewell, Sally, Altman, Douglas G, Emdin, Connor A, Hsiao, Allan

“…Objective: To quantify the association between atrial fibrillation and cardiovascular disease, renal disease, and death. Design: Systematic review and meta-analysis. …”
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A unified point process probabilistic framework to assess heartbeat dynamics and autonomic cardiovascular control by Chen, Zhe, Purdon, Patrick Lee, Brown, Emery N., Barbieri, Riccardo

“…In recent years, time-varying inhomogeneous point process models have been introduced for assessment of instantaneous heartbeat dynamics as well as specific cardiovascular control mechanisms and hemodynamics. Assessment of the model’s statistics is established through the Wiener-Volterra theory and a multivariate autoregressive (AR) structure. …”
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Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data by Syed, Zeeshan, Guttag, John V.

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A 58 nW ECG ASIC With Motion-Tolerant Heartbeat Timing Extraction for Wearable Cardiovascular Monitoring by He, David Da, Sodini, Charles G.

“…An ASIC for wearable cardiovascular monitoring is implemented using a topology that takes advantage of the electrocardiogram's (ECG) waveform to replace the traditional ECG instrumentation amplifier, ADC, and signal processor with a single chip solution. …”
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Blood Pressure Variability: Can Nonlinear Dynamics Enhance Risk Assessment During Cardiovascular Surgery? A Feasibility Study by Subramaniam, Balachundhar, Khabbaz, Kamal R., Heldt, Thomas, Lerner, Adam B., Mittleman, Murray A., Davis, Roger B., Goldberger, Ary L., Costa, Madalena D.

“…We propose that complex (nonlinear) fluctuations of hemodynamic variables including systemic blood pressure parameters) during cardiovascular surgery contain information relevant to risk assessment and intraoperative management. …”
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