Abstract
A real-time high-resolution ECG (HRECG) system was developed to study ventricular late potentials (VLP). In the denoising method, the SFP alignment technique was embedded in a pre-processing micro-controller to support the signal averaging process. This system is intended for screening subjects at cardiac risk in the out-of-hospital environment. It uses the fractal dimension of VLP (LPδ) as the diagnostic parameter. Performance of the SFP technique was tested by systematic 50Hz and EMG additive noise onto a noiseless ECG signal model of known spectrum. Spectral degradation due to the SFP based averaging, indicated a negligible beat alignment jitter SD under worst case of noise levels: ±2.6ms SD for 340µV (rms) of 50Hz noise, and ±1.3ms SD for 71µV (rms) of EMG noise type. In the LPδ verification method, the mean value of LPδ in five healthy volunteers was of 1.204 ±0.0526. A synthetic, coherent, and orthogonal LP signal injection at the body surface (with LPδ >1.36) indicated satisfactory LPδ parameter reproducibility
Original language | English |
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Title of host publication | Unknown Host Publication |
Publisher | Computing in Cardiology |
Pages | 789-792 |
Number of pages | 4 |
Volume | 38 |
Publication status | Published (in print/issue) - 29 Dec 2011 |
Event | Computing in Cardiology - Hangzhou, China Duration: 29 Dec 2011 → … |
Conference
Conference | Computing in Cardiology |
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Period | 29/12/11 → … |
Keywords
- ECG
- HRECG
- SAECG
- SFP alignment
- ventricular late potentials
- real-time systems
- SCD
- vectorcardiography
- fractal dimension
- chaos
- 3D attractor
- at-risk patients
- Brugada syndrome