| Página principal > Artículos > Wearable-based assessment of heart rate response to physical stressors in patients after open-heart surgery with frailty > MARC |
000126844 001__ 126844 000126844 005__ 20241125101153.0 000126844 0247_ $$2doi$$a10.1109/JBHI.2023.3244005 000126844 0248_ $$2sideral$$a133753 000126844 037__ $$aART-2023-133753 000126844 041__ $$aeng 000126844 100__ $$aSokas, D. 000126844 245__ $$aWearable-based assessment of heart rate response to physical stressors in patients after open-heart surgery with frailty 000126844 260__ $$c2023 000126844 5060_ $$aAccess copy available to the general public$$fUnrestricted 000126844 5203_ $$aDue 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. 000126844 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R$$9info:eu-repo/grantAgreement/ES/MICIU/RTI2018-097723-B-I00 000126844 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000126844 590__ $$a6.7$$b2023 000126844 592__ $$a1.964$$b2023 000126844 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b26 / 250 = 0.104$$c2023$$dQ1$$eT1 000126844 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b5 / 66 = 0.076$$c2023$$dQ1$$eT1 000126844 591__ $$aMEDICAL INFORMATICS$$b3 / 44 = 0.068$$c2023$$dQ1$$eT1 000126844 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b21 / 170 = 0.124$$c2023$$dQ1$$eT1 000126844 593__ $$aElectrical and Electronic Engineering$$c2023$$dQ1 000126844 593__ $$aBiotechnology$$c2023$$dQ1 000126844 593__ $$aHealth Information Management$$c2023$$dQ1 000126844 593__ $$aHealth Informatics$$c2023$$dQ1 000126844 593__ $$aComputer Science Applications$$c2023$$dQ1 000126844 594__ $$a13.6$$b2023 000126844 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000126844 700__ $$aTamuleviciute-Prasciene, E. 000126844 700__ $$aBeigiene, A. 000126844 700__ $$aBarasaite, V. 000126844 700__ $$aMarozas, J. 000126844 700__ $$aKubilius, R. 000126844 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, R.$$uUniversidad de Zaragoza 000126844 700__ $$aPetrenas, A. 000126844 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac. 000126844 773__ $$g27, 4 (2023), 1825-1834$$pIEEE j. biomed. health inform.$$tIEEE journal of biomedical and health informatics$$x2168-2194 000126844 8564_ $$s817471$$uhttps://zaguan.unizar.es/record/126844/files/texto_completo.pdf$$yPostprint 000126844 8564_ $$s3631195$$uhttps://zaguan.unizar.es/record/126844/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000126844 909CO $$ooai:zaguan.unizar.es:126844$$particulos$$pdriver 000126844 951__ $$a2024-11-22-12:07:48 000126844 980__ $$aARTICLE
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