Remote Health Monitoring of Heart Failure With Data Mining via CART Method on HRV Features
Autor: | Leandro Pecchia, Paolo Melillo, Marcello Bracale |
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Přispěvatelé: | Pecchia, Leandro, P., Melillo, Bracale, Marcello, Pecchia, L, Melillo, Paolo, Bracale, M. |
Rok vydání: | 2011 |
Předmět: |
Telemedicine
Remote patient monitoring Biomedical Engineering Decision tree computer.software_genre Home Monitoring HRV Heart Failure worsening early detection CHF diseases management program data mining CART telemedicine Electrocardiography home monitoring (HM) Heart Rate heart failure (HF) Data Mining Humans Heart rate variability Medicine Disease management (health) Monitoring Physiologic Heart Failure Data processing business.industry Reproducibility of Results Home Care Services data mining (DM) Clinical trial ROC Curve Regression Analysis Data mining business computer heart rate variability (HRV) Classification and regression tree (CART) Computer technology |
Zdroj: | IEEE Transactions on Biomedical Engineering. 58:800-804 |
ISSN: | 1558-2531 0018-9294 |
DOI: | 10.1109/tbme.2010.2092776 |
Popis: | 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. |
Databáze: | OpenAIRE |
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