Wearable-based assessment of heart rate response to physical stressors in patients after open-heart surgery with frailty

Sokas, D. ; Tamuleviciute-Prasciene, E. ; Beigiene, A. ; Barasaite, V. ; Marozas, J. ; Kubilius, R. ; Bailón, R. (Universidad de Zaragoza) ; Petrenas, A.

Resumen: Due to frailty, cardiac rehabilitation in older patients after open-heart surgery must be carefully tailored, thus calling for informative and convenient tools to assess the effectiveness of exercise training programs. The study investigates whether heart rate (HR) response to daily physical stressors can provide useful information when parameters are estimated using a wearable device. The study included 100 patients after open-heart surgery with frailty who were assigned to intervention and control groups. Both groups attended inpatient cardiac rehabilitation however only the patients of the intervention group performed exercises at home according to the tailored exercise training program. While performing maximal veloergometry test and submaximal tests, i.e., walking, stair-climbing, and stand up and go, HR response parameters were derived from a wearable-based electrocardiogram. All submaximal tests showed moderate to high correlation ( r = 0.59–0.72) with veloergometry for HR recovery and HR reserve parameters. While the effect of inpatient rehabilitation was only reflected by HR response to veloergometry, parameter trends over the entire exercise training program were also well followed during stair-climbing and walking. Based on study findings, HR response to walking should be considered for assessing the effectiveness of home-based exercise training programs in patients with frailty.

Idioma: Inglés

DOI: 10.1109/JBHI.2023.3244005

Año: 2023

Publicado en: IEEE journal of biomedical and health informatics 27, 4 (2023), 1825-1834
ISSN: 2168-2194

Factor impacto JCR: 6.7 (2023)

Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 26 / 250 = 0.104 (2023) - Q1 - T1
Categ. JCR: MATHEMATICAL & COMPUTATIONAL BIOLOGY rank: 5 / 66 = 0.076 (2023) - Q1 - T1
Categ. JCR: MEDICAL INFORMATICS rank: 3 / 44 = 0.068 (2023) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 21 / 170 = 0.124 (2023) - Q1 - T1

Factor impacto CITESCORE: 13.6 - Computer Science Applications (Q1) - Electrical and Electronic Engineering (Q1) - Health Information Management (Q1) - Health Informatics (Q1)

Factor impacto SCIMAGO: 1.964 - Electrical and Electronic Engineering (Q1) - Biotechnology (Q1) - Health Information Management (Q1) - Health Informatics (Q1) - Computer Science Applications (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R
Financiación: info:eu-repo/grantAgreement/ES/MICIU/RTI2018-097723-B-I00

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)