Literature DB >> 29295356

Constructing an Open-Access Bio-Signal Repository from Intensive Care Units.

Doyeop Kim1, Sukhoon Lee2, Tae Young Kim1, Sanghyung Jin1, JaeYeon Park3, JeongGil Ko3, Rae Woong Park1, Dukyong Yoon1.   

Abstract

Bio-signals can be crucial evidence in detecting urgent clinical events. However, until now, access to this data was limited. We aim to construct and provide a new open bio-signal repository with data gathered from more than 40 intensive care unit (ICU) beds. For doing so, we completed the interfacing system with the patient monitors at the target beds and plan to expand this data set to more than 100 ICU beds. Once completed, we plan to publicly open the data to catalyze interesting clinical-event detection research.

Entities:  

Keywords:  Biomimetics; Intensive Care Unit; MIMIC

Mesh:

Year:  2017        PMID: 29295356

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder.

Authors:  Jong-Hwan Jang; Tae Young Kim; Hong-Seok Lim; Dukyong Yoon
Journal:  PLoS One       Date:  2021-12-01       Impact factor: 3.240

  1 in total

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