Signal Quality Indices and Data Fusion for Determining Acceptability of Electrocardiograms Collected in Noisy Ambulatory Environments
An algorithm to detect poor quality ECGs collected in low-resource environments is described (and was entered in the PhysioNet/Computing in Cardiology Challenge 2011 'Improving the quality of ECGs collected using mobile phones'). The algorithm is based on previously published signal qualit...
Үндсэн зохиолчид: | Clifford, G, Lopez, D, Li, Q, Rezek, I, IEEE |
---|---|
Формат: | Journal article |
Хэл сонгох: | English |
Хэвлэсэн: |
2011
|
Ижил төстэй зүйлс
-
Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms.
-н: Clifford, G, зэрэг
Хэвлэсэн: (2012) -
An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance
-н: Ziti Fariha Mohd Apandi, зэрэг
Хэвлэсэн: (2020-06-01) -
Two solutions for the processing of ambulatory electrocardiogram
-н: Carlos R. Vázquez Seisdedos
Хэвлэсэн: (2015-06-01) -
An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals
-н: Hongzu Li, зэрэг
Хэвлэсэн: (2021-12-01) -
New approach for T-wave end detection on electrocardiogram: Performance in noisy conditions
-н: Marañón Reyes Enrique J, зэрэг
Хэвлэсэн: (2011-09-01)