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| Titel: |
Detection of premature ventricular contractions using the RR-interval signal: A simple algorithm for mobile devices |
| Auteur: |
Cuesta, Pedro Lado, María J. Vila, Xosé A. Alonso, Raúl |
| Verschenen in: |
Technology & health care |
| Paginering: | Jaargang 22 (2014) nr. 4 pagina's 651-656 |
| Jaar: |
2014-06-04 |
| Inhoud: |
BACKGROUND: Premature ventricular contractions (PVCs) are cardiac abnormalities that may occur in subjects with/without cardiovascular disorder. Detection is usually performed from electrocardiograms (ECGs); heart activity for a long period of time must be recorded at hospital or with ambulatory electrocardiography. An alternative with a common mobile device would be very interesting, because a simple heart rate sensor should be sufficient. OBJECTIVE: To develop an algorithm to detect PVCs using the RR-interval (distance between consecutive beats) extracted from ECGs or from the heart rate signal captured by mobile devices. METHODS: Feature extraction and classification techniques were included: 1) two timing interval features (prematurity and compensatory pause) were extracted. 2) A linear classifier was applied. To validate the method, the MIT-BIH Arrhythmia Database was used. Considering the existence of unbalanced classes (normal beats and PVCs) at different decision costs, validation was performed with receiver operating characteristic (ROC) analysis. RESULTS: A sensitivity of 90.13% and a specificity percentage of 82.52% were achieved. The area under the ROC curve (AUC) was 0.928. CONCLUSIONS: The method is advantageous since it only uses the RR-interval signal for PVC detection, and results compare well with more complex methods that use ECG recording. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 3 van 14 gevonden artikelen
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