Coronary artery disease diagnosis by means of heart rate variability analysis using respiratory information
| Autor: | David Hernando, Raquel Bailon, Jari Viik, Terho Lehtimäki, Jesus Lazaro, Mika Kähönen, R. Lehtinen, Kjell Nikus, Tuomo Nieminen |
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| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
Framingham Risk Score Respiratory rate business.industry 0206 medical engineering 02 engineering and technology 030204 cardiovascular system & hematology medicine.disease 020601 biomedical engineering Coronary artery disease 03 medical and health sciences 0302 clinical medicine Internal medicine Respiration Heart rate medicine Cardiology Heart rate variability In patient Respiratory system business |
| Zdroj: | IFMBE Proceedings ISBN: 9789811051210 |
| DOI: | 10.1007/978-981-10-5122-7_68 |
| Popis: | Heart rate variability (HRV) analysis during exercise has been used to evaluate cardiovascular response to the stress of exercise, which may offer additional value than in rest condition. To properly analyze HRV during exercise, several challenges need to be addressed, such as including respiratory information and removing the dependance with the mean heart rate (HR) level. The objective of this work is to extract parameters from HRV analysis and respiratory information during exercise to evaluate their capability of diagnose coronary artery disease (CAD). Significant differences in mean HR were found due to medication effect in patients with CAD. By correcting the HRV parameters by mean HR, this effect is minimized. Power related to high frequency, when guided by respiration, results to have the best diagnosis capability (AUC > 0.7). |
| Databáze: | OpenAIRE |
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