Medical Automation Research Center
I currently work at the Medical Automation Research Center (MARC),
University of Virginia HealthSystem.
I am the lead software engineer and am responsible for most of the software development on all our projects which involve technology, software and web portals for medical and clinical applications.
Additionally, I develop and maintain the MARC website along with a couple of other websites.
Some Projects
Here are some of the projects I am involved with. All the technology is designed for extremely low cost and the prime target is eldercare and aiding elders living independently.
The In-Home Monitoring System
I work on developing software and a web portal (Hand Coded PHP+HTML+CSS) for our
Smart House technologies which are designed to monitor a persons activities non-invasively and unobtrusively,
without the use of any video or audio devices or compromising the privacy of the user. I developed the client side application (.NET) that runs on each system,
monitors the data and generates alerts (by phone/pager) in case of custom programmable alert conditions. I also run the webserver (Apache2+PHP+SSL) and the database server (mySQL) for the
systems and develop the server side analysis software (VB.NET+PHP4/5). Our first set of systems was installed at a Volunteers of America facility in St. Paul, Mn.
We now have systems at another VOA facility and two Good Samaritan Society facilities. One of the Good Sam facilities has systems installed our in the community.
The Gait Monitor
I also work on a gait monitor,
which is designed to analyze human gait in-home unobtrusively. I design filters for analysing gait characteristics from floor vibrations. Future research involves
obtiaining data from this system and comparing it to data obtained from a gait lab. We have applied for a Patent for the Gait Monitor (International Patent Application Serial No. PCT/US04/09098).
Electronic Patient Registration
I am developing a test system to aid electronic patient registration for the department of family medicine.
Handheld Smoking Cessation and Diet Control Software
I am also developing and enhancing a handheld (PocketPC and Palm) 'Modular Lifestyle Intervention Tool' for clinicians to aid in smoking cessation and obesity for the department of family medicine.
Here is a paper about this software.
Funding for this study is provided by a grant from the Robert Wood Johnson Foundation. The previous version of this software was called HCSIT and was featured on the PalmOne website and can be downloaded from
Smokefree.gov
Web Development Projects
Publications based on some of my work at MARC
A Rule-Based Approach to the Analysis of Elders' Activity Data: Detection of Health and Possible Emergency Conditions
American Association for Artificial Intelligence (AAAI) 2005 Fall Symposium on Caring Machines: AI in Eldercare.
Impact of Monitoring Technology in Assisted Living: Outcome Pilot.
Accepted for publication in the IEEE Transactions on Information Technology in Biomedicine.
Validation of Rule-Based Inference of Selected Independent ADLs
Journal of Telemedicine and E-Health, Oct. 2005.
In-Home Monitoring System and Objective ADL Assessment: Validation Study.
International Conference on Independence, Aging and Disability, Dec. 2003.
Derivation Of Basic Human Gait Characteristics From Floor Vibrations (pdf)
2003 Summer Bioengineering Conference.
ROP: A Network Model for Heterogeneous Sensor Networks (pdf)
2003 Virginia Tech Symposium on Wireless Communication.
Passive Unobtrusive Gait Monitor (pdf)
CBI Steps to Success (2002)
Wireless Sensor Network Model And Protocol: Secure Data Communication Between Fixed And Mobile Sensors (pdf)
CBI Steps to Success (2002)
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