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Body sensor data processing using stream computing

Authors:

Olivier VerscheureAuthors Info & Claims

MIR '10: Proceedings of the international conference on Multimedia information retrieval

Pages 449 - 458

https://doi.org/10.1145/1743384.1743465

Published: 29 March 2010 Publication History

Abstract

Advances in sensor technologies have accelerated the instrumentation of medical institutions. Today, modern intensive care units use sophisticated patient monitoring systems able to produce massive amounts of physiological streaming data. While these monitoring systems aim at improving patient care and staff productivity, they have the potential of introducing a data explosion problem. We address this problem by developing an open infrastructure upon which healthcare analytics can be built, managed, and deployed to analyze in real time physiological streaming data and turn this data into meaningful information for medical professionals. This infrastructure incorporates feature extraction and data mining functionalities for the discovery of clinical rules capable of identifying medically significant events. The system is based on a state of the art stream computing middleware. This paper presents this infrastructure from a programming model perspective. An exemplar application for arrhythmia detection is also described to illustrate its capabilities.

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Cited By

Duarte EGomes DCampos DAguiar R(2020)Scalable Architecture, Storage and Visualization Approaches for Time Series Analysis SystemsData Management Technologies and Applications10.1007/978-3-030-54595-6_4(59-82)Online publication date: 30-Jul-2020
https://doi.org/10.1007/978-3-030-54595-6_4
Masood AGulzar Ahmad SUllah Khan HUllah Munir E(2019)Network Reconfiguration Algorithm (NRA) for scheduling communication-intensive graphs in heterogeneous computing environmentCluster Computing10.1007/s10586-019-03002-3Online publication date: 1-Nov-2019
https://doi.org/10.1007/s10586-019-03002-3
Rajabi Shishvan OZois DSoyata T(2018)Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A SurveyIEEE Access10.1109/ACCESS.2018.28660496(46419-46494)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2866049
Show More Cited By

Index Terms

Body sensor data processing using stream computing
1. Information systems
  1. Information retrieval
    1. Search engine architectures and scalability
      1. Distributed retrieval
      2. Peer-to-peer retrieval
  2. Information storage systems
    1. Storage architectures
      1. Distributed storage

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Published In

cover image ACM Conferences

MIR '10: Proceedings of the international conference on Multimedia information retrieval

March 2010

600 pages

ISBN:9781605588155

DOI:10.1145/1743384

General Chairs:
James Z. Wang
The Pennsylvania State University, USA
,
Nozha Boujemaa
INRIA, France
,
Program Chairs:
Nuria Oliver Ramirez
Telefonica Research, Spain
,
Apostol Natsev
IBM Research, USA

Copyright © 2010 ACM.

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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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 March 2010

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MIR '10: International Conference on Multimedia Information Retrieval

March 29 - 31, 2010

Pennsylvania, Philadelphia, USA

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Cited By

Duarte EGomes DCampos DAguiar R(2020)Scalable Architecture, Storage and Visualization Approaches for Time Series Analysis SystemsData Management Technologies and Applications10.1007/978-3-030-54595-6_4(59-82)Online publication date: 30-Jul-2020
https://doi.org/10.1007/978-3-030-54595-6_4
Masood AGulzar Ahmad SUllah Khan HUllah Munir E(2019)Network Reconfiguration Algorithm (NRA) for scheduling communication-intensive graphs in heterogeneous computing environmentCluster Computing10.1007/s10586-019-03002-3Online publication date: 1-Nov-2019
https://doi.org/10.1007/s10586-019-03002-3
Rajabi Shishvan OZois DSoyata T(2018)Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A SurveyIEEE Access10.1109/ACCESS.2018.28660496(46419-46494)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2866049
ISODA TNOHARA YINOUE SSHIROUZU MSUGIYAMA YHIRATA MMACHIDA KNAKASHIMA N(2016)Nursing Activity Sensing Using Mobile Sensors and Proximity SensorsProceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications10.5687/sss.2016.1962016(196-203)Online publication date: 2016
https://doi.org/10.5687/sss.2016.196
Nguyen HWoon YNg W(2015)A survey on data stream clustering and classificationKnowledge and Information Systems10.1007/s10115-014-0808-145:3(535-569)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1007/s10115-014-0808-1
Dallachiesa MJacques-Silva GGedik BWu KPalpanas T(2015)Sliding windows over uncertain data streamsKnowledge and Information Systems10.1007/s10115-014-0804-545:1(159-190)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.1007/s10115-014-0804-5
Huang GZhang YCao JSteyn MTaraporewalla K(2014)Online mining abnormal period patterns from multiple medical sensor data streamsWorld Wide Web10.1007/s11280-013-0203-y17:4(569-587)Online publication date: 1-Jul-2014
https://dl.acm.org/doi/10.1007/s11280-013-0203-y
Christopoulou S(2013)A smart citizen healthcare assistant frameworkHealth and Technology10.1007/s12553-013-0058-33:3(249-265)Online publication date: 29-May-2013
https://doi.org/10.1007/s12553-013-0058-3
Sow DSun JBiem AHu JBlount MEbadollahi S(2012)Real-time analysis for short-term prognosis in intensive careIBM Journal of Research and Development10.1147/JRD.2012.219795256:5(458-467)Online publication date: 1-Sep-2012
https://dl.acm.org/doi/10.1147/JRD.2012.2197952
Raghavendra BBera DBopardikar ANarayanan R(2011)Cardiac arrhythmia detection using dynamic time warping of ECG beats in e-healthcare systemsProceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks10.1109/WoWMoM.2011.5986196(1-6)Online publication date: 20-Jun-2011
https://dl.acm.org/doi/10.1109/WoWMoM.2011.5986196

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