Output details
15 - General Engineering
University of Hull
Article title
Principal component analysis as a tool for analyzing beat-to-beat changes in ECG features: Application to ECG-derived respiration
Type
D - Journal article
Title of journal
Ieee Transactions On Biomedical Engineering
Article number
-
Volume number
57
Issue number
4
First page of article
821
ISSN of journal
0018-9294
Year of publication
2010
Number of additional authors
2
Additional information
This work presents a novel signal processing algorithm to enable beat-to-beat changes in ECG features to be quantified automatically. The method was successfully demonstrated by application to a surrogate respiratory signal from the ECG. A further important potential application of the algorithm is the detection of electrical instability as a surrogate for arrhythmia risk. The work is currently being applied in a study with cardiac electrophysiology device manufacturer Boston Scientific to quantify the effect of ablation therapy in patients with atrial fibrillation.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
