Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database

Benjamin M. Brandwood, Ganesh R. Naik, Upul Gunawardana, Gaetano D. Gargiulo

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
36 Downloads (Pure)

Abstract

This study proposes a novel method for obtaining the electrocardiogram (ECG) derived respiration (EDR) from a single lead ECG and respiration-derived cardiogram (RDC) from a respiratory stretch sensor. The research aims to reconstruct the respiration waveform, determine the respiration rate from ECG QRS heartbeat complexes data, locate heartbeats, and calculate a heart rate (HR) using the respiration signal. The accuracy of both methods will be evaluated by comparing located QRS complexes and inspiration maxima to reference positions. The findings of this study will ultimately contribute to the development of new, more accurate, and efficient methods for identifying heartbeats in respiratory signals, leading to better diagnosis and management of cardiovascular diseases, particularly during sleep where respiration monitoring is paramount to detect apnoea and other respiratory dysfunctions linked to a decreased life quality and known cause of cardiovascular diseases. Additionally, this work could potentially assist in determining the feasibility of using simple, no-contact wearable devices for obtaining simultaneous cardiology and respiratory data from a single device.

Original languageEnglish
Article number7401
Number of pages16
JournalSensors
Volume23
Issue number17
Early online date25 Aug 2023
DOIs
Publication statusPublished - 1 Sept 2023

Keywords

  • cardiology
  • electrocardiogram
  • fantasia
  • MATLAB
  • plethysmography
  • respiration
  • signal processing

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