Low-frequency detection in ECG signals and joint EEG-Ergospirometric measurements for precautionary diagnosis

A. Lay-Ekuakille, P. Vergallo, A. Trabacca, M. De Rinaldis, F. Angelillo, F. Conversano, S. Casciaro

Research output: Contribution to journalArticlepeer-review

Abstract

HRV (Heart Rate Variability) is an indicator that can be related to different human organs and systems: breathing, heart, brain, pulmonary system, etc. In cardiac clinic, physical exertion can be pre-assessed thanks to HR (Heart Rate) response using appropriate tests to rule out eventual cardiac dysfunction prior to undergo patient to further exams, surgical operations and rehabilitation activities. HR assessment must determine the capability of patient to continue exertion up to a certain level without having angina pain symptoms and brain dysfunctions. The variability of HR is a marker of dynamic load because it is sensitive and responsive to acute stress. Moreover it is also a marker of a cumulative wear and tear because it declines with advancing age. In this paper we propose combined measurements of EEG-Ergospirometry and ECG for patient's cardio-pulmonary condition assessment for allowing doctors to make a decision on rehabilitation or surgical operation for people suspected of suffering from epilepsy seizures. Measurements assessed using frequency domain parameters have permitted the determination of low and high frequencies that are related to sympathetic and parasympathetic activities respectively.

Original languageEnglish
Pages (from-to)97-107
Number of pages11
JournalMeasurement: Journal of the International Measurement Confederation
Volume46
Issue number1
DOIs
Publication statusPublished - Jan 2013

Keywords

  • ECG
  • EEG
  • Epilepsy monitoring
  • Ergospirometric measurements
  • Heart rate variability

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Applied Mathematics

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