Real-time System for High-resolution ECG Diagnosis Based on 3D Late Potential Fractal Dimension Estimation

OJ Escalona, M Mendoza, G Villegas, C Navarro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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 languageEnglish
Title of host publicationUnknown Host Publication
PublisherComputing in Cardiology
Pages789-792
Number of pages4
Volume38
Publication statusPublished - 29 Dec 2011
EventComputing in Cardiology - Hangzhou, China
Duration: 29 Dec 2011 → …

Conference

ConferenceComputing in Cardiology
Period29/12/11 → …

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Keywords

  • ECG
  • HRECG
  • SAECG
  • SFP alignment
  • ventricular late potentials
  • real-time systems
  • SCD
  • vectorcardiography
  • fractal dimension
  • chaos
  • 3D attractor
  • at-risk patients
  • Brugada syndrome

Cite this

Escalona, OJ., Mendoza, M., Villegas, G., & Navarro, C. (2011). Real-time System for High-resolution ECG Diagnosis Based on 3D Late Potential Fractal Dimension Estimation. In Unknown Host Publication (Vol. 38, pp. 789-792). Computing in Cardiology.