Adaptive and fault tolerant medical vest for life-critical medical monitoring

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Adaptive and fault tolerant medical vest for life-critical medical monitoring

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Symposium on Applied Computing archive
Proceedings of the 2005 ACM symposium on Applied computing table of contents

Santa Fe, New Mexico

SESSION: Computer applications in health care (CAHC) table of contents

Pages: 272 - 279

Year of Publication: 2005

ISBN:1-58113-964-0

Authors

Roozbeh Jafari	University of California, Los Angeles, CA
Foad Dabiri	University of California, Los Angeles, CA
Philip Brisk	University of California, Los Angeles, CA
Majid Sarrafzadeh	University of California, Los Angeles, CA

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 8, Downloads (12 Months): 80, Citation Count: 2

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ABSTRACT

In recent years, exciting technological advances have been made in development of flexible electronics. These technologies offer the opportunity to weave computation, communication and storage into the fabric of the every clothing that we wear, therefore, creating intelligent fabric. This paper presents a medical vest which has sensors for physiological readings and software-controlled, electrically-actuated trans-dermal drug delivery elements. Furthermore, computational elements are embedded in the vest for collecting data from sensors, processing them and driving actuation elements. Since this vest will be used for medical, life-critical applications, the single most critical requirement of such a vest is an extremely high level of robustness and fault tolerance. Meantime, the key technological constraint for these mobile systems is their power consumption. Our target application for our medical vest is the detection of possibly fatal heart problems, specifically unstable angina pectoris or ischemia. We illustrate the design stages of our medical vest as well as the technical details of both software and network reconfiguration schemes (to enhance the robustness and the performance of our system). We also discuss the details of ischemia detection algorithm employed in our vest. Moreover, we evaluate the robustness of our system with existence of various faults. Finally we measure the performance of our algorithm as well the power consumption of several configurations of our vest.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Atmegal128 manual. http://www.atmel.com.
	2	Midmark diagnostics group. http://midmarkdiagnostics.com
	3	Physiobank - physiologic signal archives for biomedical research. http://www.physionet.org/physiobank/.
	4	Physiotoolkit - open source software for biomedical science and engineering. http://www.physionet.org/physiotools/.
	5	Sensatex. http://www.sensatex.com.
	6	Diana Marculescu , Radu Marculescu , Pradeep K. Khosla, Challenges and opportunities in electronic textiles modeling and optimization, Proceedings of the 39th conference on Design automation, June 10-14, 2002, New Orleans, Louisiana, USA [doi>10.1145/513918.513962]
	7	José García , Paul Lander , Leif Sörnmo , Salvador Olmos , Galen Wagner , Pablo Laguna, Comparative study of local and Karhunen-Loe´ve-based ST-T indexes in recordings from human subjects with induced myocardial ischemia, Computers and Biomedical Research, v.31 n.4, p.271-292, Aug. 1998 [doi>10.1006/cbmr.1998.1481]
	8	M. J. MW Zimmerman, RJ Povinelli and K. Ropella. A reconstructed phase space approach for distinguishing ischemic from non-ischemic st changes using holter ecg data. Computers in Cardiology, 30, 2003.
	9	H. M. P. Singh. Iontophoresis in drug delivery: basic principles and applications. Crit Rev Ther Drug Carrier Syst., 11:161--213.
	10	Rich DeVaul , Michael Sung , Jonathan Gips , Alex Sandy Pentland, MIThril 2003: Applications and Architecture, Proceedings of the 7th IEEE International Symposium on Wearable Computers, p.4, October 21-23, 2003
	11	L. V. S. Papadimitriou, S. Mavroudi and A. Bezerianos. Ischemia detection with a self-organizing map supplemented by supervised learning. IEEE Trans. on Neural Networks, 12(3), 2001
	12	Sungmee Park , Kenneth Mackenzie , Sundaresan Jayaraman, The wearable motherboard: a framework for personalized mobile information processing (PMIP), Proceedings of the 39th conference on Design automation, June 10-14, 2002, New Orleans, Louisiana, USA [doi>10.1145/513918.513961]
	13	Thomas Martin , Mark Jones , Josh Edmison , Ravi Shenoy, Towards a design framework for wearable electronic textiles, Proceedings of the 7th IEEE International Symposium on Wearable Computers, p.190, October 21-23, 2003

CITED BY 2

	Majid Sarrafzadeh , Foad Dabiri , Roozbeh Jafari , Tammara Massey , Ani Nahapetan, Low power light-weight embedded systems, Proceedings of the 2006 international symposium on Low power electronics and design, October 04-06, 2006, Tegernsee, Bavaria, Germany
	Yun Liang , Lei Ju , Samarjit Chakraborty , Tulika Mitra , Abhik Roychoudhury, Cache-aware optimization of BAN applications, Proceedings of the 6th IEEE/ACM/IFIP international conference on Hardware/Software codesign and system synthesis, October 19-24, 2008, Atlanta, GA, USA