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...
Главные авторы: | Clifford, G, Lopez, D, Li, Q, Rezek, I, IEEE |
---|---|
Формат: | Journal article |
Язык: | English |
Опубликовано: |
2011
|
Схожие документы
-
Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms.
по: Clifford, G, и др.
Опубликовано: (2012) -
An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance
по: Ziti Fariha Mohd Apandi, и др.
Опубликовано: (2020-06-01) -
Two solutions for the processing of ambulatory electrocardiogram
по: Carlos R. Vázquez Seisdedos
Опубликовано: (2015-06-01) -
An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals
по: Hongzu Li, и др.
Опубликовано: (2021-12-01) -
Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors
по: Hyun-Soo Choi, и др.
Опубликовано: (2016-01-01)