Name
Abstract | ||
|---|---|---|
Accuracy in detection of electrocardiographic (ECG) heart beats can be vastly improved with the aid of blood pressure (BP) monitoring. Cross validation between ECG and BP signals is used to identify the part of signals not contaminated by large, high frequency noises, where we can extract accurately the delay between the QRS peaks and BP peaks (defined in the “Methods” section). The delay is used to identify the QRS peaks even when the signal is very noisy. We also present a simple noise detection algorithm for the ECG signals. This complementary algorithm leads to high success rate in identifying aberrant ECG beats including the supraventricular premature beats (SVPB), premature ventricular contraction (PVC) and other unclassifiable beats. |
Year | Venue | Keywords |
|---|---|---|
2014 | CinC | blood pressure measurement,electrocardiography,medical signal detection,medical signal processing,patient monitoring,bp monitoring,bp signals,ecg signals,pvc,qrs,svpb,aberrant ecg beats,blood pressure monitoring,blood pressure signals,electrocardiographic heart beat detection,premature ventricular contraction,simple noise detection algorithm,supraventricular premature beats,noise,prediction algorithms,blood pressure,noise measurement |
Field | DocType | Volume |
Noise measurement,Supraventricular premature beats,Blood pressure,Artificial intelligence,QRS complex,Noise detection,Electrocardiography,Medicine,Heart beat,Pattern recognition,Internal medicine,Cardiology,Cross-validation | Conference | 41 |
ISSN | Citations | PageRank |
2325-8861 | 1 | 0.38 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| bo yang | 1 | 1 | 0.38 |
| Soo Kng Teo | 2 | 14 | 6.97 |
| bart hoeben | 3 | 1 | 0.38 |
| C. Monterola | 4 | 5 | 3.43 |
| Y. Su | 5 | 20 | 10.55 |