Detection of ectopic beats in the electrocardiogram using an auto-associative neural network
Abnormal rhythms of the heart are often preceded by the occurrence of ectopic beats. These are difficult to detect as their shape is not very different from that of a normal QRS complex, the main feature in the electrocardiogram. We show how an auto-associative multi-layer perception can be trained...
Κύριοι συγγραφείς: | Tarassenko, L, Clifford, G, Townsend, N |
---|---|
Μορφή: | Journal article |
Γλώσσα: | English |
Έκδοση: |
2001
|
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
One-pass training of optimal architecture auto-associative neural network for detecting ectopic beats
ανά: Clifford, G, κ.ά.
Έκδοση: (2001) -
Fusing conventional ECG QRS detection algorithms with an auto-associative neural network for the detection of ectopic beats
ανά: Clifford, G, κ.ά.
Έκδοση: (2000) -
Beat-wise segmentation of electrocardiogram using adaptive windowing and deep neural network
ανά: S. M. Isuru Niroshana, κ.ά.
Έκδοση: (2023-07-01) -
Ventricular beat detection in single channel electrocardiograms
ανά: Stoyanov Todor V, κ.ά.
Έκδοση: (2004-01-01) -
VERB: VFCDM-Based Electrocardiogram Reconstruction and Beat Detection Algorithm
ανά: Syed Khairul Bashar, κ.ά.
Έκδοση: (2019-01-01)