Poster Abstract: Constructing a bio-signal repository from an intensive care unit for effective big-data analysis

Sukhoon Lee, Jaeyeon Park, Doyeop Kim, Tae Young Kim, Rae Woong Park, Dukyong Yoon, Jeonggil Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Analyzing large quantities of bio-signal data can lead to new findings in patient status diagnosis and medical emer-gency event prediction. Specifically, improvements in ma-chine learning schemes suggest that by inputting clinical waveforms, designing mechanisms to predict medical emer-gencies, such as ventricular arrhythmia or sepsis, can soon be possible. However, we are still lacking the data-vaults that provide such clinically useful bio-signal data. With the goal of providing such an environment, this work focuses on developing a data repository for bio-signals collected from a hospital's intensive care init (ICU). Specifically, we design our data collection system to effectively store data from at-bed patient monitors and also integrate sensing information from bed-embedded sensing platforms, which allow filtering of noisy bio-signal samples caused by motion artifacts.

Original languageEnglish
Title of host publicationProceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016
PublisherAssociation for Computing Machinery, Inc
Pages372-373
Number of pages2
ISBN (Electronic)9781450342636
DOIs
Publication statusPublished - 2016 Nov 14
Event14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 - Stanford, United States
Duration: 2016 Nov 142016 Nov 16

Publication series

NameProceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016

Conference

Conference14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016
CountryUnited States
CityStanford
Period16/11/1416/11/16

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Lee, S., Park, J., Kim, D., Kim, T. Y., Park, R. W., Yoon, D., & Ko, J. (2016). Poster Abstract: Constructing a bio-signal repository from an intensive care unit for effective big-data analysis. In Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 (pp. 372-373). (Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016). Association for Computing Machinery, Inc. https://doi.org/10.1145/2994551.2996712