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1 stole (5.1 mm +/- 1.8) (32% variation during cardiac cycle).
2 during atrial contraction (40% variation per cardiac cycle).
3 rief muscle contractions ( approximately 4-7 cardiac cycles).
4 The TA was traced during a cardiac cycle.
5 data at &75% of the R-R interval during the cardiac cycle.
6 n with sympathetic nerve activity and/or the cardiac cycle.
7 anical, and electrical properties during the cardiac cycle.
8 the channel during the resting phase of the cardiac cycle.
9 red with one respiratory cycle performed per cardiac cycle.
10 of each two successive image frames over the cardiac cycle.
11 equally incremented time points through the cardiac cycle.
12 n be imposed during a specified phase of the cardiac cycle.
13 the period of minimal cardiac motion in the cardiac cycle.
14 hase) or last third (diastolic phase) of the cardiac cycle.
15 ons of influx vs. efflux via NCX during each cardiac cycle.
16 d in the plane of acquisition throughout the cardiac cycle.
17 wall during the predetermined phases of the cardiac cycle.
18 es in length and force that occur during the cardiac cycle.
19 culation eddies oscillate in size during the cardiac cycle.
20 cardial isopotential mapping during a single cardiac cycle.
21 values are quantified, for all frames in the cardiac cycle.
22 be attributed to the cortical control of the cardiac cycle.
23 ty of 30 miles per hour and was timed to the cardiac cycle.
24 haracterizing contractile changes during the cardiac cycle.
25 uced by impacts at any other time during the cardiac cycle.
26 delivered during the vulnerable phase of the cardiac cycle.
27 appearance of the myocardium throughout the cardiac cycle.
28 ver the entire epicardial surface during the cardiac cycle.
29 delivered during the vulnerable phase of the cardiac cycle.
30 8 versus 3.6 +/- 0.7 cm2, P = NS) during the cardiac cycle.
31 netium-99m sestamibi, using eight frames per cardiac cycle.
32 essment of phasic events associated with the cardiac cycle.
33 extremes of the pressure waveform during the cardiac cycle.
34 on at the best theoretical moment within the cardiac cycle.
35 ting cardiac wall deformation throughout the cardiac cycle.
36 ates changes in PLB-SERCA binding during the cardiac cycle.
37 cording compositional changes throughout the cardiac cycle.
38 pulsation of the arterial wall caused by the cardiac cycle.
39 g in three spatial dimensions throughout the cardiac cycle.
40 ntricular pressure and volume throughout the cardiac cycle.
41 ivalent spatial resolution and timing in the cardiac cycle.
42 show morphological changes during the entire cardiac cycle.
43 try and its metabolic activity vary over the cardiac cycle.
44 ates of segmental wall displacement during a cardiac cycle.
45 this myosin ATPase cycle and the macroscopic cardiac cycle.
46 s acquired during diastole of the subsequent cardiac cycle.
47 ts in a cyclical manner, consistent with the cardiac cycle.
48 and magnitude of calcium reuptake during the cardiac cycle.
49 fails to demonstrate similar modulations by cardiac cycle.
50 ges of luminal Ca(2+) that occur through the cardiac cycle.
51 ponents (PCs) representing breathing and the cardiac cycle.
52 changes in flow over different phases of the cardiac cycle.
53 were monitored during balloon deflation and cardiac cycle.
54 ), with dynamics severalfold slower than the cardiac cycle.
55 , and change in vascular blood volume over a cardiac cycle.
56 cast short-lived LLSTs in human blood during cardiac cycle.
57 perties of the aortic annulus throughout the cardiac cycle.
58 RVOT diameters (RVOTD max and min) during a cardiac cycle.
59 was reconstructed in 10% increments over the cardiac cycle.
60 trocardiogram at specific time points in the cardiac cycle.
61 re exposed to shear/fluid forces during each cardiac cycle.
62 arteriolar endothelium throughout the entire cardiac cycle.
63 and does not occur on the time scale of the cardiac cycle.
64 direction observed during each phase of the cardiac cycle.
65 unaffected by calcium during the course of a cardiac cycle.
66 observed contracting during one or multiple cardiac cycles.
67 ergy FLASH frames destroyed bubbles every 15 cardiac cycles.
68 ingle image from data acquired over multiple cardiac cycles.
69 ary views only with one frame every multiple cardiac cycles.
70 he transmission rate was once every multiple cardiac cycles.
71 Measurements were averaged over 10 cardiac cycles.
72 er diastolic pressures resulting from longer cardiac cycles.
73 sations originating from the respiratory and cardiac cycles.
74 R-R interval were tracked for 15 subsequent cardiac cycles.
75 by under 20% (p = 1) and 2% (p = 2) after 20 cardiac cycles.
76 -per-second (FPS) capable of resolving mouse cardiac cycles.
77 table biotic/abiotic interface during normal cardiac cycles.
78 orm from skin displacement images during the cardiac cycle.).
79 assessments were obtained in three different cardiac cycles (0.92-0.98), rather than in one (0.79-0.9
80 2.2 uW/mL 1.6; P = .03), and summed over the cardiac cycle (2.4 uJ/mL 1.0 vs 1.9 uJ/mL 0.6; P = .02)
81 m the left ventricle to end organs with each cardiac cycle (200 million litres of blood transported i
82 pattern in cardiogram waveform over a single cardiac cycle (~200 ms) of a mouse, which has not been o
83 All 82 subjects had 2 contrast-enhanced full cardiac cycle 4-dimensional computed tomography scans: a
84 ges with acquisition window that covered two cardiac cycles (acquisition time, 10-12 min; temporal re
85 edical imaging data, pulsatile flow to mimic cardiac cycles, adjustable parameters for various hydroc
87 , digestive activity, respiratory sounds and cardiac cycles, all with clinical grade accuracy and ind
88 of each marker every 16.7 ms throughout the cardiac cycle, allowing calculation of three-dimensional
89 gated MRI of the fetal heart throughout the cardiac cycle, allowing for immediate data reconstructio
91 ration to simulate in vivo conditions of the cardiac cycle and found that I-O forces decrease with in
93 e WT-Parv sequesters Ca(2+) too early in the cardiac cycle and prematurely truncates sarcomere shorte
94 ped to detect five key frames throughout the cardiac cycle and respective dense deformation fields, a
98 ce-area product (RAP) were obtained for each cardiac cycle and their dynamic response to a step chang
99 o estimate all cardiac time intervals from 1 cardiac cycle and thereby obtain the myocardial performa
100 12 min; temporal resolution, 60 msec) or one cardiac cycle and time-of-flight (TOF) MR angiographic i
101 hase (45+/-15% of the R-R interval) of their cardiac cycle and underwent assessments of oxygen uptake
102 area of each burst were determined for each cardiac cycle and were placed into 3 mmHg intervals of d
103 paired both during the systolic phase of the cardiac cycle and when heartbeats evoke stronger cortica
104 ac function focuses on a limited sampling of cardiac cycles and has considerable inter-observer varia
106 ndividual characteristic ("core") pattern of cardiac cycles and then tracks the changes in the patter
107 e (i.e. number of sympathetic bursts per 100 cardiac cycles) and the area of each burst were determin
108 motion-artifact-free imaging throughout the cardiac cycle, and a fluorescent membrane staining proto
109 tically track the endocardium throughout the cardiac cycle, and show myocardial perfusion defects whe
110 ) greater variation in neural specificity to cardiac cycles, and (iii) neural network activity and ca
111 ge, binarizing and separating the image into cardiac cycles, and extracting data values from each of
112 ally induced vasodilatation peaks within 1-2 cardiac cycles, and thus is dissociated from the tempora
113 based cine sequences, acquisition over three cardiac cycles appears to be the optimal compromise, wit
114 ating or reducing the problems caused by the cardiac cycle are discussed, including electrocardiogram
115 d-point of the diagram (T50) at which 50% of cardiac cycles are associated with bursts, was inversely
116 ith a peak and trough that correlates with a cardiac cycle as revealed by a reference pulse oximeter
117 mensional blood-flow patterns throughout the cardiac cycle at the widest diameter of the Fontan pathw
122 lumes were thus reconstructed throughout the cardiac cycle by combining transverse cardiac image sect
123 fy the role of isovolumic intervals during a cardiac cycle by in vivo visualization of left ventricul
125 g into account valve plane motion during the cardiac cycle by using Fourier-guided, dual-ROI analysis
126 be reliably estimated in humans from single cardiac cycles by a new method that has a potential for
128 nce (Y: 26 +/- 8 vs. A: 50 +/- 7 bursts (100 cardiac cycles (CC))(-1) , P </= 0.01) were greater in t
130 dinates of 3DE and CMR geometries across the cardiac cycle decreased from 7 +/- 1 to 4 +/- 1 mm for t
131 baseline buffer perfusion, maximal dP/dt per cardiac cycle decreased on average by 30.4%, 40.9%, and
132 es and the plots of dV/dt values through the cardiac cycle demonstrated more gradual developments of
133 had a significant reduction in MRI-assessed cardiac cycle-dependent change in aortic area and disten
134 lder patients with isolated DHF have reduced cardiac cycle-dependent changes in proximal thoracic aor
135 The goal of this study was to determine if cardiac cycle-dependent changes in proximal thoracic aor
137 ant changes in mean thickness throughout the cardiac cycle, despite the inherent unsteadiness of the
139 aging at pulsing intervals (PIs) of <1 to 30 cardiac cycles during an intravenous infusion of microbu
143 eir prediction error representations between cardiac cycles exhibited higher learning rates and great
144 racterize beat-by-beat changes in FVC for 15 cardiac cycles following each MSNA burst and a peak resp
145 terize changes in left and right ventricular cardiac cycles following induction of experimental, stre
147 f local myocardial count variations over the cardiac cycle for each patient, and then unpaired t test
149 ional imaging of the heart tube over various cardiac cycles for the measurement of cardiac structural
150 erves) was intact, rhythms correlated to the cardiac cycle frequency were found in 20/34 (59 %) of un
152 quantify thoracic aortic area throughout the cardiac cycle from cardiac magnetic resonance images and
153 s of maximum elastic myofiber stretch over a cardiac cycle from its corresponding local homeostatic s
155 ion of LV endocardial surface throughout the cardiac cycle, from which global and regional LV volume
156 f the mouse heart and for the animal's rapid cardiac cycle has proven to be a formidable challenge, r
157 cardial perfusion images obtained from whole cardiac cycles have lower myocardial intensity and great
158 -PH, RA pressure was elevated throughout the cardiac cycle (HFpEF-PH: 10 [8-14] versus PAH: 7 [5-10]
159 d permits analysis of events during a single cardiac cycle; however, at present, RT3-D imaging has po
161 at 14 time points evenly spaced through the cardiac cycle in 10 volunteers and eight patients with C
163 istent through all twelve time points of the cardiac cycle in all five experimental groups and agreed
164 tricle from 3D MR-tagged images for the full cardiac cycle in dogs with cardiac failure and a left bu
165 In vivo DT-CMR was acquired throughout the cardiac cycle in healthy swine, followed by in situ and
166 b) to measure the ASA and VSA throughout the cardiac cycle in healthy volunteers using cardiovascular
169 r distances remained constant throughout the cardiac cycle in normal hearts, during ischemia, and aft
170 changes in the left ventricle throughout the cardiac cycle in normal Wistar Kyoto rats (WKY) and also
172 ed to measure arterial distension during the cardiac cycle in the brachial arteries of 361 children f
173 ation task, and effects of timing within the cardiac cycle) in twenty-six non-clinical participants a
174 e sequence (without DL, performed over 10-12 cardiac cycles) in regard to acquisition time, subjectiv
175 astolic cranial CSF flow velocity across the cardiac cycle, in HD (caudal flow: 0.17 +/- 0.07 mL/s, c
176 trasound transmission rate was one frame per cardiac cycle; in secondary and tertiary views, the tran
177 eformations during the various phases of the cardiac cycle, including aortoventricular and sinotubula
179 ses are interrupted (delivered only once per cardiac cycle) instead of conventional 25- to 30-Hz fram
181 We increased information by dividing the cardiac cycle into fewer bins, excluding cycles without
184 The average blood velocity throughout the cardiac cycle is strongly correlated with pulmonary pres
185 resolved SL MR angiographic imaging over two cardiac cycles is a reliable clinical tool for cerebral
186 ements included blood pressure, body height, cardiac cycle length, carotid to femoral artery pulse wa
187 chords, which remain taut during the entire cardiac cycle, limit the motion of the anterior mitral l
188 A digital echocardiogram (often several one cardiac cycle loops) can be stored at one site and forwa
189 ior with intravascular ultrasound during the cardiac cycle may help to evaluate and quantify the seve
191 rgely to the immediate vasodilatation (first cardiac cycle) observed in response to a brief, single c
192 tical flow analysis allows us to explore the cardiac cycle of the zebrafish and determine the changes
193 diminishes minimally or not at all during 3 cardiac cycles of the washout phase); and TMP grade 3 in
196 that distinct time windows exist across the cardiac cycle, optimizing either perception or action.
197 By leveraging information across multiple cardiac cycles, our model can rapidly identify subtle ch
198 ith time-resolved SL MR angiography over one cardiac cycle (P < .001) and TOF MR angiography (P < .00
201 eart rate (HR) and HR variability (HRV), and cardiac cycle phase shifts triggered by the processing o
203 AVA) measured during the ejection phase of a cardiac cycle predicts the rate of hemodynamic progressi
204 ly applying this test to activity during the cardiac cycle proved ineffective because subjects-by-tre
205 resolved SL MR angiographic imaging over two cardiac cycles provided a median diagnostic confidence i
207 find that synchronizing imaging scans to the cardiac cycle reduces motion artifacts, significantly im
208 eart rate, a measure of the frequency of the cardiac cycle, reflects the health of the cardiovascular
209 tor neurones in the RVL, identified by their cardiac cycle-related probability of discharge, by the d
214 ow is shifted into the latter portion of the cardiac cycle, resulting in apparent prolongation of sys
215 data obtained at multiple time points in the cardiac cycle show that the glycocalyx remains hydrodyna
216 olite ratios and pH remained stable over the cardiac cycle, signal amplitudes correlated strongly wit
218 n, and protein synthesis is regulated by the cardiac cycle, suggesting that mechanotransduction at th
219 ith time-resolved SL MR angiography over two cardiac cycles than with time-resolved SL MR angiography
220 uron showed hyperpolarizations locked to the cardiac cycle that started during late diastole and ende
221 longation of the QT interval, a phase of the cardiac cycle that underlies myocyte repolarization dete
225 in the control condition were coupled to the cardiac cycle, their length did not vary as a function o
227 aves in the novel signals, and confirm their cardiac-cycle timings in consistency with established ca
228 d relaxation (expressed as percentage of the cardiac cycle to adjust for differences in heart rate) s
231 somatosensory stimuli is altered across the cardiac cycle to evoke differential changes in bodily st
232 ography was reviewed for CSF, defined as >=3 cardiac cycles to opacify distal vessels with contrast.
233 tes are subjected to shear stress during the cardiac cycle under physiological or pathological condit
235 xel intensity fluctuations generated by each cardiac cycle using a robust image processing routine, a
237 nd the stimulation mechanisms throughout the cardiac cycle using the pinwheel protocol, and the resul
238 lows for nanoparticle tracking over multiple cardiac cycles using a conventional laptop, providing a
239 13 ms), with typically 12 time frames in the cardiac cycle, using a short echo time (5 ms) multislice
241 The rest period for coronary arteries in the cardiac cycle varies substantially from patient to patie
245 at systole and stretch variation during one cardiac cycle was greater in symptomatic group than thos
247 hese data, epicardial deformation during the cardiac cycle was quantified by computing finite strain
251 ed early event-related potentials across the cardiac cycle, we conclude that these effects are not a
255 their variation during balloon deflation and cardiac cycles were measured to describe the 3D strut, c
256 (25 to 130 microm), in focus throughout the cardiac cycle, were recorded after infusion of acridine
257 le-shape depth) were measured throughout the cardiac cycle with dedicated quantification software.
258 assess isovolumic PEC and PFR phases of the cardiac cycle with high-frame-rate cine MR images, and P
260 l arteries changed systematically during the cardiac cycle, with the flattest profile occurring durin
261 ain pulsations driven by the respiration and cardiac cycles, with more pronounced effects in gray and