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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ge, D. Beuchee, A. Carrault, G. Pladys, P. Hernandez, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: U1099, INSERM, Rennes, France (Ge, D.; Beuchee, A.; Carrault, G.; Pladys, P.; Hernandez, A.) |
| Abstract | This study aims to detect apnea-bradycardia (AB) episodes from preterm newborns, based on the analysis of electrocardiographic signals (ECG). We propose the use of an auto-regressive (AR) model with undetermined orders to capture all possible linear dependency of the RR interval time series extracted from ECG. An on-line algorithm inspired from the Kalman filtering technique is designed to follow the evolution of the AR model's order distribution. The detection sensitivity (TP/(TP + FN)) reaches 91:5% over a total of 50 episodes with perfect specificity (TN/(FP+TN)=100%). From the clinical point of view, it is essential to achieve reliable early stage detection of AB episodes to enable the initiation of quick nursing actions. Our proposed method achieves a delay of 5.08s ± 2.90 compared with the experts' off-line annotations, knowing that the mean intervention time (duration from the generation of the alarm to the initiation of manual stimulation) is reported to be 33 seconds from a recent study [5]. |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 1247 |
| Ending Page | 1250 |
| File Size | 751181 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479908844 |
| ISSN | 2325887X |
| e-ISBN | 9781479908868 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-22 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Creative Commons Attribution License 2.5 (CCAL) |
| Subject Keyword | Kalman filters Abstracts Maldistribution Physiology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Cardiology and Cardiovascular Medicine |
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