Abstract
Empirical mode decomposition is used as a low latency method of recovering the cardiac ventricular activity QRS biopotential signals recorded from the upper arm. The recovery technique is tested and compared with the industry accepted technique of signal averaging using a database of “normal” rhythm traces from bipolar ECG leads along the left arm, recorded from patient volunteers at a cardiology day procedure clinic. The same partial recomposition technique is applied to recordings taken using an innovative dry electrode technology supplied by Plessey Semiconductors. In each case, signal to noise ratio (SNR) is used as a metric for comparison.
Original language | English |
---|---|
Pages (from-to) | 409-418 |
Number of pages | 10 |
Journal | Electronics |
Volume | 3 |
Issue number | 3 |
DOIs | |
Publication status | Published (in print/issue) - 16 Jul 2014 |
Keywords
- empirical mode decomposition
- ECG
- arrhythmia
- filter
- noise
- SAECG