Institutional-Repository, University of Moratuwa.
Detecting atrial fibrillation from short single lead ECGs using statistical and morphological features
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| dc.contributor.author | Athif, M | |
| dc.contributor.author | Yasawardene, PC | |
| dc.contributor.author | Daluwatte, C | |
| dc.date.accessioned | 2023-04-19T09:28:30Z | |
| dc.date.available | 2023-04-19T09:28:30Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | Athif, M., Yasawardene, P. C., & Daluwatte, C. (2018). Detecting atrial fibrillation from short single lead ECGs using statistical and morphological features. Physiological Measurement, 39(6), 064002. https://doi.org/10.1088/1361-6579/aac552 | en_US |
| dc.identifier.issn | 1361-6579 | en_US |
| dc.identifier.uri | http://dl.lib.uom.lk/handle/123/20886 | |
| dc.description.abstract | Objective: Point of care ECG devices can improve the early detection of atrial fibrillation (AF). The efficiency of such devices depends on the capability of automatic AF detection against normal sinus rhythm and other arrhythmias from a short single lead ECG record in the presence of noise and artifacts. The objective of this study was to develop an algorithm that classifies a short single lead ECG record into 'Normal', 'AF', 'Other' and 'Noisy' classes, and identify the challenges in developing such algorithms and potential mitigation steps. | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | Natural fractured bituminous coal | en_US |
| dc.subject | Coal matrix swelling | en_US |
| dc.subject | Super-critical CO2 | en_US |
| dc.subject | N2 saturation | en_US |
| dc.subject | Permeability recovery | en_US |
| dc.title | Detecting atrial fibrillation from short single lead ECGs using statistical and morphological features | en_US |
| dc.type | Article-Full-text | en_US |
| dc.identifier.year | 2018 | en_US |
| dc.identifier.journal | Physiological Measurement | en_US |
| dc.identifier.volume | 39 | en_US |
| dc.identifier.database | National Library of Medicine | en_US |
| dc.identifier.pgnos | 064002 | en_US |
| dc.identifier.doi | 10.1088/1361-6579/aac552. | en_US |
