Remote Health Monitoring of heart failure with data mining via CART method on HRV features
Disease Management Programs (DMPs), which use no advanced ICT, 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. The...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
IEEE
2011
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/1580/ |
| _version_ | 1848790634257711104 |
|---|---|
| author | Pecchia, Leandro Melillo, Paolo Marcello, Bracale |
| author_facet | Pecchia, Leandro Melillo, Paolo Marcello, Bracale |
| author_sort | Pecchia, Leandro |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Disease Management Programs (DMPs), which use no advanced ICT, 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 worsening could require more complex and expensive care if not recognized. In this paper, we briefly describe the Remote Health Monitoring (RHM) platform we designed and realized, which supports Heart Failure (HF) severity assessment offering functions of data mining based on Classification and Regression Tree (CART) method. The system developed achieved accuracy and a precision respectively of 96.39% and 100.00% in detecting HF and of 79.31% and 82.35% in distinguish severe versus mild HF. 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. |
| first_indexed | 2025-11-14T18:15:44Z |
| format | Article |
| id | nottingham-1580 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:15:44Z |
| publishDate | 2011 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-15802020-05-04T20:24:28Z https://eprints.nottingham.ac.uk/1580/ Remote Health Monitoring of heart failure with data mining via CART method on HRV features Pecchia, Leandro Melillo, Paolo Marcello, Bracale Disease Management Programs (DMPs), which use no advanced ICT, 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 worsening could require more complex and expensive care if not recognized. In this paper, we briefly describe the Remote Health Monitoring (RHM) platform we designed and realized, which supports Heart Failure (HF) severity assessment offering functions of data mining based on Classification and Regression Tree (CART) method. The system developed achieved accuracy and a precision respectively of 96.39% and 100.00% in detecting HF and of 79.31% and 82.35% in distinguish severe versus mild HF. 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. IEEE 2011 Article PeerReviewed Pecchia, Leandro, Melillo, Paolo and Marcello, Bracale (2011) Remote Health Monitoring of heart failure with data mining via CART method on HRV features. IEEE Transactions on Biomedical Engineering, 58 (3). pp. 800-804. ISSN 0018-9294 Home Monitoring HRV Heart Failure worsening early detection CHF diseases management program data mining CART telemedicine. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5638128 doi:10.1109/TBME.2010.2092776 doi:10.1109/TBME.2010.2092776 |
| spellingShingle | Home Monitoring HRV Heart Failure worsening early detection CHF diseases management program data mining CART telemedicine. Pecchia, Leandro Melillo, Paolo Marcello, Bracale Remote Health Monitoring of heart failure with data mining via CART method on HRV features |
| title | Remote Health Monitoring of heart failure with data mining via CART method on HRV features |
| title_full | Remote Health Monitoring of heart failure with data mining via CART method on HRV features |
| title_fullStr | Remote Health Monitoring of heart failure with data mining via CART method on HRV features |
| title_full_unstemmed | Remote Health Monitoring of heart failure with data mining via CART method on HRV features |
| title_short | Remote Health Monitoring of heart failure with data mining via CART method on HRV features |
| title_sort | remote health monitoring of heart failure with data mining via cart method on hrv features |
| topic | Home Monitoring HRV Heart Failure worsening early detection CHF diseases management program data mining CART telemedicine. |
| url | https://eprints.nottingham.ac.uk/1580/ https://eprints.nottingham.ac.uk/1580/ https://eprints.nottingham.ac.uk/1580/ |