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SCH: INT: Mapping the Cardiac Acousteome: Biosensing and Computational Modeling Applied to Smart Diagnosis and Monitoring of Heart Conditions
The goal of the project is to develop fundamental science, knowledge, tools, and technologies for smart diagnosis and monitoring of heart conditions based on automated cardiac auscultation. An innovative wearable multimodal acoustic array (the StethoVest) is proposed. This sensory array localizes and separates acoustic broadband sources in space by measuring spatial and temporal derivatives of the acoustic field. Using this StethoVest, first-of-their-kind maps of the cardiac acousteome are generated. These maps include not only 4D (3D space and time) measurements of heart sounds; they are accompanied by high-fidelity hemoacoustic simulations that delineate cause-and-effect, as well as simulation-guided source-identification algorithms that provide unprecedented diagnostic sensitivity and specificity. The simulations take cardiac imaging data as input, and simulate cardiac blood flow as well as the associated heart sounds. The latter part of this four-year project focuses on investigating the physics of aortic valve murmurs as well as StethoVest based screening for hypertrophic obstructive cardiomyopathy.
Annual national expenditure on heart disease exceeds half a trillion dollars with over half a million deaths attributed to this disease each year. The proposed research leverages emerging capabilities in biosensing, computational modeling, imaging and signal processing, to produce a diagnostic technology that moves us away from management of heart disease that is mostly reactive, expensive and hospital-centric, towards an approach that is smart, proactive, patient-centric and cost-effective. The sound inventory generated from continuous, automated monitoring and interpretation of heart sounds has the potential to generate unprecedented understanding of human physiology. The project promotes interdisciplinary education and workforce development through involvement of undergraduates, graduate students, and postdocs in the research, development of courses and clinical training tools, and local and international outreach activities .
Project Overview
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Presentations, Talks and Future Events
- Mittal, R., Seo, J. H., Bakshaee, H., Zhu, C., Andreou, A., Tognetti, G., Garreau, G., Thompson, W. R., Abraham, T, “Mapping the Cardiac Acousteome: Biosensing and Computational Modeling Applied to Smart Diagnosis and Monitoring of Heart Conditions”, NSF Smart & Connected Health PI Meeting, Arlington, VA, June 30 – July 1, 2015.
- Bakhshaee, H., Garreau, G., Tognetti G., Shoele, K., Carrero, R., Kilmar, T., Zhu, C., Thompson, W.R., Seo, J. H., Mittal R., Andreou, A. G., “Mechanical Design, Instrumentation and Measurements from a Hemoacoustic Cardiac Phantom”, 49th Conference on Information Sciences and Systems, JOHNS HOPKINS UNIVERSITY, Baltimore, MD, March 18-20, 2015.
- Mittal, R., Seo, J. H., Bakshaee, H., Andreou, A., Tognetti, G., Garreau, G., Thompson, W. R., Abraham, T., “Mapping the Cardiac Acousteome: Biosensing and Computational Modeling Applied to Smart Diagnosis and Monitoring of Heart Conditions”, NSF Smart & Connected Health PI Meeting, Arlington, VA, Aug 6-8, 2014.
- Seo, J. H., Shoele, K., Vedula, V., and Mittal, R., “Simulation of Intraventricular Flows with Physiological Mitral Valve Models,” 7th World Congress of Biomechanics, Boston, MA, July 6-11, 2014.
- Seo, J. H., George, R., and Mittal, R., “Computational Modeling of Flow-Mediated Thrombogenesis in Infarcted Left Ventricles,” 7th World Congress of Biomechanics, Boston, MA, July 6-11, 2014.
- Seo, J. H., Vedula, V., George, R., and Mittal, R., “Coupled Hemodynamics-Biochemical Modeling of Thrombus Formation in Infarcted Left Ventricles,” 66th Annual Meeting of the APS Division of Fluid Dynamics, Vol. 58, No. 18, November 24-26, 2013, Pittsburgh, PA.
- Seo, J. H., Vedula, V., Lardo, A.C., Abraham, T., and Mittal, R., “Modeling of Blood Flow in Normal and Diseased Left Ventricles,” SIAM Conference on Computational Science and Engineering 2013, Boston, MA, Feb. 25-Mar. 1, 2013.
- Seo, J. H., Vedula, V., and Mittal, R., “Multiphysics Computational Models for Cardiac Flow and Virtual Cardiography,“ European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2012), J. Eberhardsteiner et al. (eds.) Vienna, Austria, Sept. 10-14, 2012.
- Seo, J. H., Mittal, R., and Abraham, T., “Investigation of Systolic Heart Murmurs with Computational Hemo-Acoustic Modeling,“ 64th Annual Meeting of the APS Division of Fluid Dynamics, Vol. 56, No. 18, November 20–22, 2011; Baltimore, Maryland.
Research Team
Rajat Mittal , Ph.D. (PI):
Fluid dynamics, biomedical engineering, computation, cardiac biophysics
Andreas Andeou, Ph.D. (Co-PI):
Acoustic sensing, signal processing and pattern recognition
William Reid Thompson, M.D. (Co-PI):
Pediatric cardiology, auscultation
Theodore Abraham M.D. (Co-PI):
Cardiology, echocardiography, hypertrophic cardiomyopathy
Jung Hee Seo , Ph.D. (Co-PI):
Computational acoustics, flow modeling, cardiovascular physics
Hani Bakhshaee, Ph.D.:
Phantom testing, experimental studies
Pedro Julian, Ph.D.:
Signal processing and source localization
Guillaume Garreau, Ph.D.:
Acoustic sensing, signal processing and pattern recognition
Gaspar Tognetti (Graduate Student):
Acoustic sensing, signal processing and pattern recognition
Chi Zhu (Graduate Student):
Computational acoustics, flow modeling
Nate Welsh (Undergraduate):
Phantom testing
Useful Information
Heart Disease Facts and Statistics