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that could not be viewed or printed properly, the Conference elected to only publish the abstract of the paper in the Proceedings. All conference papers were peer-reviewed by experts chosen by the Conference Editorial Board for all contributed, invited and minisymposia papers. AUTHOR NO SHOW POLICy: EMBS enforces a " no show " policy. Any accepted paper(More)
The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract Intracranial pressure (ICP) is affected in many neurological conditions. Clinical measurement of pressure on the brain currently requires placing a probe in the cerebrospinal fluid compartment, the brain tissue, or other(More)
  • Fm Kashif, T Heldt, Gc Verghese
  • 2008
Monitoring cerebrovascular state, including intracra-nial pressure (ICP) and the ability to regulate cerebral blood flow, is important for patient care in stroke, traumatic brain injury and other such conditions. However, current methodologies for direct measurement of ICP are highly invasive, and expose patients to the risk of infection. In addition,(More)
Modern intensive care units (ICUs) employ an impressive array of technologically sophisticated instrumentation to provide detailed measurements of the pathophysiological state of each patient. Providing life support in the ICU is becoming an increasingly complex task, however, because of the growing volume of relevant data from clinical observations,(More)
To understand the sequence of hemodynamic events elicited by active (stand-up) and passive (head-up tilt, HUT) changes in posture, we monitored heart rate and arterial blood pressure continuously in ten healthy volunteers at rest, during rapid tilts (75 • HUT over 2 secs), slow tilts (75 • HUT over 50 secs), and stand tests. A marked initial transient drop(More)
Preface This user guide is intended for clinicians with some knowledge of programming and/or graduate-level researchers with knowledge of biomedical signal processing. The user is expected to have a working knowledge of SQL. Basic knowledge of a statistical (signal processing) package such as Matlab or R is useful. Knowledge of C/C++ and/or Java may also(More)
—Lumped-parameter time-varying electrical circuit analogs for the cardiovascular system are frequently used in medical research and teaching for simulating and analyzing hemo-dynamic data. Pulsatile models provide details of the intracycle dynamics of each heart beat. In some settings, however, such as when tracking a hospital patient's hemodynamic state(More)
Time-varying elastance models have been used extensively in the past to simulate the pulsatile nature of cardiovascular waveforms. Frequently, however, one is interested in dynamics that occur over longer time scales, in which case a detailed simulation of each cardiac contraction becomes computationally burdensome. In this paper, we apply circuit-averaging(More)
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. We present a brief historical background of lumped-parameter cardiovascular system models, followed by an overview of the development of the major(More)