000168203 001__ 168203
000168203 005__ 20260128162436.0
000168203 0247_ $$2doi$$a10.1088/1361-6579/aa72b0
000168203 0248_ $$2sideral$$a100971
000168203 037__ $$aART-2017-100971
000168203 041__ $$aeng
000168203 100__ $$0(orcid)0000-0003-0226-4950$$aMartín-Yebra, A.$$uUniversidad de Zaragoza
000168203 245__ $$aEvaluation of respiratory- and postural-induced changes on the ballistocardiogram signal by time warping averaging
000168203 260__ $$c2017
000168203 5060_ $$aAccess copy available to the general public$$fUnrestricted
000168203 5203_ $$aObjective: The aim of this work was to evaluate the potential changes in the ballistocardiogram (BCG) signal induced by different respiratory patterns and posture, by using the dynamic time warping (DTW) technique. Approach: BCG signals were recorded in a group of 20 healthy volunteers, simultaneously with an electrocardiogram (ECG). Two recordings, one in a supine (SUP) and one in a standing (ST) position, including spontaneous breathing, two 1 min apneas (at full and empty-lungs, respectively) and 30 s of Valsalva, were analyzed. A warped averaged waveform was computed for each phase, from which amplitude and temporal parameters were extracted to characterize each condition. Main results: Variations were found in both amplitude and duration of BCG-derived parameters among manoeuvres, especially when compared to spontaneous breathing, suggesting a complex interaction between intra-thoracic pressure changes acting on venous return, together with the autonomic nervous system modulation on heart rate. The effect of a hydrostatic pressure gradient elicited by postural conditions was also evident. Significance: Posture and respiratory manoeuvres affect the BCG signal in different ways, probably as a result of changes induced in preload and afterload. This supports the need to define separate normality ranges for each posture and/or breathing conditions, as well as the importance of applying specific manoeuvres to highlight any pathological response in the computed BCG parameters.
000168203 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000168203 590__ $$a2.006$$b2017
000168203 591__ $$aENGINEERING, BIOMEDICAL$$b39 / 77 = 0.506$$c2017$$dQ3$$eT2
000168203 591__ $$aPHYSIOLOGY$$b55 / 83 = 0.663$$c2017$$dQ3$$eT3
000168203 591__ $$aBIOPHYSICS$$b45 / 72 = 0.625$$c2017$$dQ3$$eT2
000168203 592__ $$a0.731$$b2017
000168203 593__ $$aBiomedical Engineering$$c2017$$dQ2
000168203 593__ $$aBiophysics$$c2017$$dQ2
000168203 593__ $$aPhysiology$$c2017$$dQ3
000168203 593__ $$aPhysiology (medical)$$c2017$$dQ3
000168203 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000168203 700__ $$aLandreani, F.
000168203 700__ $$aCasellato, C.
000168203 700__ $$aPavan, E.
000168203 700__ $$aMigeotte, P.-F.
000168203 700__ $$aFrigo, C.
000168203 700__ $$0(orcid)0000-0002-7503-3339$$aMartínez, J.P.$$uUniversidad de Zaragoza
000168203 700__ $$aCaiani, E.G.
000168203 7102_ $$15008$$2X$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cProy. investigación JBA
000168203 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000168203 773__ $$g38, 7 (2017), 1426-1440$$pPhysiol. meas.$$tPHYSIOLOGICAL MEASUREMENT$$x0967-3334
000168203 8564_ $$s1392313$$uhttps://zaguan.unizar.es/record/168203/files/texto_completo.pdf$$yPostprint
000168203 8564_ $$s822842$$uhttps://zaguan.unizar.es/record/168203/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000168203 909CO $$ooai:zaguan.unizar.es:168203$$particulos$$pdriver
000168203 951__ $$a2026-01-28-15:37:46
000168203 980__ $$aARTICLE