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Remote health monitoring of heart failure with data mining via CART method on HRV features
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Pecchia, Leandro, Melillo, Paolo and Bracale, Marcello (2011) Remote health monitoring of heart failure with data mining via CART method on HRV features. IEEE Transactions on Biomedical Engineering, Volume 58 (Number 3). pp. 800-804. doi:10.1109/TBME.2010.2092776 ISSN 0018-9294.
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Official URL: http://dx.doi.org/10.1109/TBME.2010.2092776
Abstract
Disease management programs, which use no advanced information and computer technology, are as effective as telemedicine but more efficient because less costly. We proposed a platform to enhance effectiveness and efficiency of home monitoring using data mining for early detection of any worsening in patient's condition. These worsenings could require more complex and expensive care if not recognized. In this letter, we briefly describe the remote health monitoring platform we designed and realized, which supports heart failure (HF) severity assessment offering functions of data mining based on the classification and regression tree method. The system developed achieved accuracy and a precision of 96.39% and 100.00% in detecting HF and of 79.31% and 82.35% in distinguishing severe versus mild HF, respectively. These preliminary results were achieved on public databases of signals to improve their reproducibility. Clinical trials involving local patients are still running and will require longer experimentation.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
Journal or Publication Title: | IEEE Transactions on Biomedical Engineering | ||||
Publisher: | IEEE | ||||
ISSN: | 0018-9294 | ||||
Official Date: | March 2011 | ||||
Dates: |
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Volume: | Volume 58 | ||||
Number: | Number 3 | ||||
Page Range: | pp. 800-804 | ||||
DOI: | 10.1109/TBME.2010.2092776 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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