Peer-Reviewed Journal Details
Mandatory Fields
Craven, D,McGinley, B,Kilmartin, L,Glavin, M,Jones, E
2015
February
Electronics Letters
Impact of compressed sensing on clinically relevant metrics for ambulatory ECG monitoring
Published
WOS: 5 ()
Optional Fields
51
323
324
Recent research has examined the combination of compressed sensing with over-complete dictionaries for the lossy compression of electrocardiogram (ECG) signals. The application of dictionary learning to automatically create the dictionary is described. A novel analysis of the reconstructed signals using a range of clinical metrics based around QRS feature extraction and heart rate variability is employed. Two methods for dictionary creation are proposed: patient specific and patient agnostic. A detailed comparison of each approach is described. Considering ambulatory ECG monitoring as an application, each methodology is analysed for a wide range of compression ratios.
10.1049/el.2014.4188
Grant Details
Publication Themes