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Research Spending & Results

Award Detail

Awardee:FLORIDA INTERNATIONAL UNIVERSITY
Doing Business As Name:Florida International University
PD/PI:
  • Naphtali D Rishe
  • (305) 348-2025
  • rishen@cs.fiu.edu
Co-PD(s)/co-PI(s):
  • Malek Adjouadi ~000365625
Award Date:07/24/2012
Estimated Total Award Amount: $ 100,000
Funds Obligated to Date: $ 100,000
  • FY 2012=$100,000
Start Date:08/01/2012
End Date:07/31/2014
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:I/UCRC: Collaborative Research: Data Correlation and Fusion for Medical Monitoring
Federal Award ID Number:1230661
DUNS ID:071298814
Parent DUNS ID:159621697
Program:IUCRC FUNDAMENTAL RESEARCH

Awardee Location

Street:11200 SW 8TH ST
City:Miami
State:FL
ZIP:33199-0001
County:Miami
Country:US
Awardee Cong. District:26

Primary Place of Performance

Organization Name:Florida International University
Street:11200 SW 8th ST
City:Miami
State:FL
ZIP:33199-0001
County:Miami
Country:US
Cong. District:26

Abstract at Time of Award

The proposed projects objective is to develop a system level framework for patient monitoring. This framework is intended to allow the interoperability of various patient monitoring devices; data preprocessing and fusion to detect the data inconsistencies and determine session and data prioritization; and bandwidth-adaptive data and video transmission driven by real-time prioritization. The proposed research will lead to the evolution of protocols that can be used for providing interoperability among various physiological measurement devices/sensors, and will have applications in numerous healthcare domains such as home healthcare, post-operative care, preventive care, adult care and nursing homes. The outcomes of the proposed work have the potential to impact the medical sciences, healthcare and computer science, enabling an information rich environment with which medical care and outcomes may be significantly improving. The work is supported by the Industry Advisory Board as well as an individual industry member of the center and has the potential to extend the centers portfolio. The PIs will disseminate the results of the work using the already established TerraFly web-based data dissemination tool.

Publications Produced as a Result of this Research

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Harry S Glauber, Naphtali Rishe, Eddy Karnieli "Introduction to Personalized Medicine in Diabetes Mellitus" Rambam Maimonides Medical Journal, v.5,, 2014, p..

Jaime Ballesteros, Bogdan Carbunar, Mahmudur Rahman, Naphtali Rishe, Sundararaj S. Iyengar "Towards Safe Cities: A Mobile and Social Networking Approach" Online Extended Edition of IEEE Transactions on Parallel and Distributed Systems, v., 2013, p..

Yun Lu, Ming Zhao, Lixi Wang, Naphtali Rishe "v-TerraFly: Large Scale Distributed Spatial Data Visualization with Autonomic Resource Management" Springer Journal Of Big Data, v., 2013, p..


Project Outcomes Report

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The ability of healthcare providers to effectively and efficiently monitor the current health status of patients can save lives and dramatically improve mortality rates. Through cutting-edge research and development of advanced patient monitoring and related healthcare tools, improved patient care can be provided while keeping costs down. Currently, the communication protocols and networking capabilities of medical devices are very limited in functionality and are proprietary of their vendors. Our work is leading the way to the evolution of protocols that can be used for providing interoperability among various physiological measurement devices/sensors that can also have applications in various healthcare settings such as home-healthcare, post-operative care, preventive care, adult care and nursing homes among others.

The ultimate goal of this project is to transform the way patient health status is monitored via the discovery and development of advanced, easy-to-use technologies that can seamlessly integrate currently used instruments, provide new and innovative monitoring technologies and easily be integrated into current healthcare settings. We succeeded in making critical steps toward our goal of developing a system level framework which allows (a) the interoperability of various patient monitoring devices, (b) data preprocessing and fusion engine to detect the data inconsistencies, and determine session and data prioritization, and (c) bandwidth adaptive data and video transmission driven by the real-time prioritization. This unified framework has provided interoperability of heterogeneous medical monitoring devices, remote data collection from any environment, development of communication protocols and algorithms to optimally manage various data streams, and algorithm development and data visualization that effectively employs geo-location information and advanced fuzzy data handling techniques in personalized medicine and healthcare settings. The system will continuously mine data in real-time to detect data inconsistencies, and the intelligent system engine will automatically detect any alarming issues.

By providing an easy to use, standardized framework that enables interoperability of heterogeneous medical monitoring devices, remote data collection of patient health status, and the creation of advanced patient tracking and data compression algorithms, the project outcomes impact the medical sciences, healthcare and computer science nationwide. The system also provides new techniques and technologies that can transform how patients are monitored and improve the quality of patient care while limiting costs, greatly benefiting broader society. Therefore, such system helps promote better health and better care at reduced healthcare cost.

 


Last Modified: 10/27/2014
Modified by: Naphtali D Rishe

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