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Wearable wireless sensor network to assess clinical status in patients with neurological disorders

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Matt WelshAuthors Info & Claims

IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks

Pages 563 - 564

https://doi.org/10.1145/1236360.1236441

Published: 25 April 2007 Publication History

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Abstract

The goal of this project is to develop wireless sensors and analysis methods to monitor patients with various motor dysfunctions. We are currently targeting two specific applications: facilitating medication titration in patients with Parkinson's disease and assessing motor recovery in stroke survivors undergoing rehabilitation. In our vision, the treatment and rehabilitation hospital of the future will allow clinicians to continuously monitor motor activity in patients via miniature sensor technology in order to better design interventions on an individual basis. Two key points toward developing the tools necessary to achieve continuous monitoring of motor function are (1) development of a robust and deployable wearable wireless network of sensors and (2) the development of analysis techniques to derive clinically relevant information from miniature sensor data.

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Pincus SM, "Approximate entropy as a measure of system complexity", Proc Natl Acad Sci, 88:2297--2301, 1991.

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Hester, T., Hughes, R., Sherrill, D. M., Knorr, B., Akay, M., Stein, J., and Bonato, P. 2006. "Using Wearable Sensors to Measure Motor Abilities following Stroke." In Proceedings of the international Workshop on Wearable and Implantable Body Sensor Networks (Bsn'06) - Volume 00 (April 03 - 05, 2006). BSN. IEEE Computer Society, Washington, DC, 5-8. DOI= http://dx.doi.org/10.1109/BSN.2006.57

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Shyamal Patel, Delsey Sherrill, Richard Hughes, Todd Hester, Theresa Lie-Nemeth, Paolo Bonato, David Standaert, Nancy Huggins, "Analysis of the Severity of Dyskinesia in Patients with Parkinson's Disease via Wearable Sensors," bsn, pp. 123--126, 2006.

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Sharieh SFranek FFerworn AAbhari A(2012)Using cloud computing for medical applicationsProceedings of the 15th Communications and Networking Simulation Symposium10.5555/2331762.2331777(1-7)Online publication date: 26-Mar-2012
https://dl.acm.org/doi/10.5555/2331762.2331777
Kaveh-Yazdy FZare-Mirakabad MXia FTian JChin AChen E(2012)A novel neighbor selection approach for KNNProceedings of the 1st International Workshop on Context Discovery and Data Mining10.1145/2346604.2346607(1-7)Online publication date: 12-Aug-2012
https://dl.acm.org/doi/10.1145/2346604.2346607
Donnelly NHarper RMcCAnderson JBranagh DKennedy ACaulfield MMcLaughlin J(2012)Development of a ubiquitous clinical monitoring solution to improve patient safety and outcomes2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/EMBC.2012.6347378(6068-6073)Online publication date: Aug-2012
https://doi.org/10.1109/EMBC.2012.6347378
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Wearable wireless sensor network to assess clinical status in patients with neurological disorders
1. Information systems
  1. Information retrieval
  2. Information storage systems

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Published In

IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks

April 2007

592 pages

ISBN:9781595936387

DOI:10.1145/1236360

General Chair:
Tarek Abdelzaher
University of Illinois at Urbana-Champaign
,
Program Chairs:
Leo Guibas
Stanford University
,
Matt Welsh
Harvard University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 25 April 2007

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IPSN07: The 6th International Conference on Information Processing in Sensor Networks

April 25 - 27, 2007

Massachusetts, Cambridge, USA

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Sharieh SFranek FFerworn AAbhari A(2012)Using cloud computing for medical applicationsProceedings of the 15th Communications and Networking Simulation Symposium10.5555/2331762.2331777(1-7)Online publication date: 26-Mar-2012
https://dl.acm.org/doi/10.5555/2331762.2331777
Kaveh-Yazdy FZare-Mirakabad MXia FTian JChin AChen E(2012)A novel neighbor selection approach for KNNProceedings of the 1st International Workshop on Context Discovery and Data Mining10.1145/2346604.2346607(1-7)Online publication date: 12-Aug-2012
https://dl.acm.org/doi/10.1145/2346604.2346607
Donnelly NHarper RMcCAnderson JBranagh DKennedy ACaulfield MMcLaughlin J(2012)Development of a ubiquitous clinical monitoring solution to improve patient safety and outcomes2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/EMBC.2012.6347378(6068-6073)Online publication date: Aug-2012
https://doi.org/10.1109/EMBC.2012.6347378
Sharieh SFranek FFerworn AAbhari A(2011)Mobile medical application model for heterogeneous networksProceedings of the 14th Communications and Networking Symposium10.5555/2048416.2048423(51-55)Online publication date: 3-Apr-2011
https://dl.acm.org/doi/10.5555/2048416.2048423
Loseu VMannil JJafari RJacobs ISoon-Shiong PTopol EToumazou C(2011)Lightweight power aware and scalable movement monitoring for wearable computersProceedings of the 2nd Conference on Wireless Health10.1145/2077546.2077554(1-10)Online publication date: 10-Oct-2011
https://dl.acm.org/doi/10.1145/2077546.2077554
Leuenberger KGassert R(2011)Low-power sensor module for long-term activity monitoring2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/IEMBS.2011.6090424(2237-2241)Online publication date: Aug-2011
https://doi.org/10.1109/IEMBS.2011.6090424
Nabar SBanerjee AGupta SPoovendran RJacobs ISoon-Shiong PTopol EToumazou C(2010)Evaluation of body sensor network platformsWireless Health 201010.1145/1921081.1921096(118-127)Online publication date: 5-Oct-2010
https://dl.acm.org/doi/10.1145/1921081.1921096
Sharieh SSartipi KFerworn AMcGraw RImsand EChinni M(2010)Light-weight protocol simulation for binary data exchange over heterogeneous networksProceedings of the 2010 Spring Simulation Multiconference10.1145/1878537.1878646(1-5)Online publication date: 11-Apr-2010
https://dl.acm.org/doi/10.1145/1878537.1878646
Harper RDonnelly NMcCullough IFrancey JAnderson JMcLaughlin JCatherwood P(2010)Evaluation of a CE approved ambulatory patient monitoring device in a general medical ward2010 Annual International Conference of the IEEE Engineering in Medicine and Biology10.1109/IEMBS.2010.5626132(94-97)Online publication date: Aug-2010
https://doi.org/10.1109/IEMBS.2010.5626132
Rahman MAlhamid MEl Saddik AGueaieb W(2009)A framework to bridge social network and body sensor networkProceedings of the 2009 IEEE international conference on Multimedia and Expo10.5555/1698924.1699357(1720-1723)Online publication date: 28-Jun-2009
https://dl.acm.org/doi/10.5555/1698924.1699357
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Wearable wireless sensor network for the monitorisation of Parkinsonian patients using a novel mobility algorithm

An efficient cluster-based communication protocol for wireless sensor networks

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