Research Topics
| Thomas HeldtSummaryAffiliation: Massachusetts Institute of Technology Country: USA Publications
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Detail Information
Publications
Continuous quantitative monitoring of cerebral oxygen metabolism in neonates by ventilator-gated analysis of NIRS recordingsThomas Heldt
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Acta Neurochir Suppl 114:177-80. 2012..The resultant estimates compare very favorably to previously reported data obtained by non-continuous and invasive means from preterm infants in neonatal critical care...
Model-based data integration in clinical environmentsThomas Heldt
Computational Physiology and Clinical Inference Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Conf Proc IEEE Eng Med Biol Soc 2010:5209-12. 2010..We outline some of the challenges and opportunities, and propose strategies for model-based integration of physiological data to improve patient monitoring...
Cycle-averaged dynamics of a periodically driven, closed-loop circulation modelT Heldt
Harvard MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Control Eng Pract 13:1163-71. 2005..It is also amenable to systematic order reduction methods that lead to further efficiencies. Despite its simplicity, the averaged model captures the dynamics relevant to the representation of a range of cardiovascular reflex mechanisms...- Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit databaseMohammed Saeed
Massachusetts Institute of Technology, Cambridge, MA, USA
Crit Care Med 39:952-60. 2011..This freely available database is intended to support epidemiologic research in critical care medicine and serve as a resource to evaluate new clinical decision support and monitoring algorithms... - Model-based noninvasive estimation of intracranial pressure from cerebral blood flow velocity and arterial pressureFaisal M Kashif
Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Sci Transl Med 4:129ra44. 2012..5 mmHg and SDE to 5.9 mmHg. This accuracy is already comparable to that of some invasive ICP measurement methods in current clinical use... - Distilling clinically interpretable information from data collected on next-generation wearable sensorsBryan Haslam
Computational Physiology and Clinical Inference Group, ResearchLaboratory of Electronics, Massachusetts Institute of Technology, CambridgeMA, USA
Conf Proc IEEE Eng Med Biol Soc 2011:1729-32. 2011..Data was collected on 10 healthy subjects. The derived quantities vary in a manner that is consistent with known physiology. Further work remains to correlate these values with the cardiac health state... - The ear as a location for wearable vital signs monitoringDavid Da He
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Conf Proc IEEE Eng Med Biol Soc 2010:6389-92. 2010..Furthermore, the ear provides a discreet and natural anchoring point that reduces device visibility and the need for adhesives... - A computational model of hemorrhage and dehydration suggests a pathophysiological mechanism: Starling-mediated protein trappingAndrew T Reisner
Division of Health Sciences and Technology, Massachusetts Institute of Technology, Boston, MA, USA
Am J Physiol Heart Circ Physiol 304:H620-31. 2013..In conclusion, the model appears valid for a range of blood loss patterns and prehydration states. Further investigation into the in vivo relevance of interstitial protein trapping is justified... - The cardiac output from blood pressure algorithms trialJames X Sun
Division of Health Sciences and Technology, Massachusetts Institute of Technology, Massachusetts General Hospital, Boston, MA, USA
Crit Care Med 37:72-80. 2009..We employed this data set to evaluate a set of investigational algorithms, and to establish a public resource for the meaningful comparison of alternative CO-from-ABP algorithms... - Model-based parameter estimation using cardiovascular response to orthostatic stressT Heldt
Massachusetts Institute of Technology, Cambridge, MA, USA
Comput Cardiol 28:337-40. 2001..We apply the estimation algorithm to both simulated and real data and showed that restriction to the 20 most important parameters does not impair our ability to match the data... - Integrating data, models, and reasoning in critical careThomas Heldt
Laboratory for Electromagntic and Electronic Systems, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Conf Proc IEEE Eng Med Biol Soc 1:350-3. 2006..In this paper, we present our recent efforts towards the development of such an advanced patient monitoring system that aims to improve the efficiency, accuracy, and timeliness of clinical decision making in intensive care... - Computational model of cardiovascular function during orthostatic stressT Heldt
Massachusetts Institute of Technology, Cambridge, MA, USA
Comput Cardiol 27:777-80. 2000..Furthermore, we explore the effects of a potential countermeasure... - Computational models of cardiovascular function for analysis of post-flight orthostatic intoleranceT Heldt
Massachusetts Institute of Technology, Cambridge, MA, USA
Comput Cardiol 26:213-6. 1999..Simulations are compared to astronaut stand test data pre - and post-flight in an effort to quantitatively evaluate alternative hypotheses...