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Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database.
Brandwood, Benjamin M; Naik, Ganesh R; Gunawardana, Upul; Gargiulo, Gaetano D.
Afiliación
  • Brandwood BM; School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia.
  • Naik GR; Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia.
  • Gunawardana U; School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia.
  • Gargiulo GD; School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia.
Sensors (Basel) ; 23(17)2023 Aug 25.
Article en En | MEDLINE | ID: mdl-37687857
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Australia