David M. White
Johns Hopkins University
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Publication
Featured researches published by David M. White.
IEEE Transactions on Biomedical Circuits and Systems | 2007
Tia Gao; Tammara Massey; Leo Selavo; David Crawford; Bor-rong Chen; Konrad Lorincz; Victor Shnayder; Logan Hauenstein; Foad Dabiri; James C. Jeng; Arjun Chanmugam; David M. White; Majid Sarrafzadeh; Matt Welsh
Advances in semiconductor technology have resulted in the creation of miniature medical embedded systems that can wirelessly monitor the vital signs of patients. These lightweight medical systems can aid providers in large disasters who become overwhelmed with the large number of patients, limited resources, and insufficient information. In a mass casualty incident, small embedded medical systems facilitate patient care, resource allocation, and real-time communication in the advanced health and disaster aid network (AID-N). We present the design of electronic triage tags on lightweight, embedded systems with limited memory and computational power. These electronic triage tags use noninvasive, biomedical sensors (pulse oximeter, electrocardiogram, and blood pressure cuff) to continuously monitor the vital signs of a patient and deliver pertinent information to first responders. This electronic triage system facilitates the seamless collection and dissemination of data from the incident site to key members of the distributed emergency response community. The real-time collection of data through a mesh network in a mass casualty drill was shown to approximately triple the number of times patients that were triaged compared with the traditional paper triage system.
Journal of The American College of Radiology | 2010
Daniel J. Mollura; Ezana M. Azene; Anna Starikovsky; Aduke Thelwell; Sarah Iosifescu; Cary Kimble; Ann Polin; Brian S. Garra; Kristen K. DeStigter; Brad Short; Benjamin L. Johnson; Christian Welch; Ivy Walker; David M. White; Mehrbod S. Javadi; Matthew P. Lungren; Atif Zaheer; Barry B. Goldberg; Jonathan S. Lewin
The RAD-AID Conference on International Radiology for Developing Countries was an assembly of individuals and organizations interested in improving access to medical imaging services in developing countries where the availability of radiology has been inadequate for both patient care and public health programs. The purpose of the meeting was to discuss data, experiences, and models pertaining to radiology in the developing world and to evaluate potential opportunities for future collaboration. Conference participants included radiologists, technologists, faculty members of academic medical institutions, and leadership of nongovernmental organizations involved in international health care and social entrepreneurship. Four main themes from the conference are presented in this white paper as important factors for the implementation and optimization of radiology in the developing world: (1) ensuring the economic sustainability of radiologic services through financial and administrative training support of health care personnel; (2) designing, testing, and deploying clinical strategies adapted for regions with limited resources; (3) structuring and improving the role of American radiology residents interested in global health service projects; and (4) implementing information technology models to support digital imaging in the developing world.
2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors | 2006
Tia Gao; Tammara Massey; Will Bishop; Daniel Bernstein; Leo Selavo; Alex Alm; David M. White; Majid Sarrafzadeh
We have developed a patient triage and monitoring system to facilitate effectiveness patient care during emergency medical situations. This system includes: 1) electronic triage tags, 2) location sensors, 3) vital sign sensors, and 4) robust ad-hoc mesh networking software. This paper summarizes our development of continuous, automated, real-time biomedical sensors and software for use by emergency responders during chaotic pre-hospital settings.
Geophysics | 1999
Yanping Guo; Harvey W. Ko; David M. White
The work described in our paper is an inverse source problem using a back propagation approach to reconstruct the field distribution below the surface based on surface field measurements. The algorithm we developed is consistent with quasi‐static diffusion field conditions and uses spatial transforms to reconstruct the below surface image. The result is an efficient method of identifying the location and orientation of underground objects within the near field of excitation coils on the surface.
Archive | 2001
Daniel G. Jablonski; Harvey W. Ko; Douglas A. Oursler; Dexter G. Smith; David M. White
Archive | 2007
Tia Gao; William Bishop; Radford Juang; Alexander M. Alm; David M. White; David A. Crawford; Steven M. Babin; Jeffrey S. Chavis
Archive | 2001
Yanping Guo; Harvey W. Ko; Carl V. Nelson; David M. White
Johns Hopkins Apl Technical Digest | 2006
Tia Gao; Logan Hauenstein; Alex Alm; David Crawford; Cassius K. Sims; Azmat Husain; David M. White
Archive | 1997
Yanping Guo; Harvey W. Ko; Carl V. Nelson; David M. White
american medical informatics association annual symposium | 2006
Alexander M. Alm; Tia Gao; David M. White