ライフサイエンスコーパス: electrogram

1 evelopment of a completely positive unipolar electrogram.

2 nalization exhibited new noise on near-field electrogram.

3 te shock caused by noise, verified by stored electrogram.

4 baseline of values for each intramyocardial electrogram.

5 QRS onset to the first large peak of the LV electrogram.

6 edle electrograms in relation to endocardial electrograms.

7 om the ablation catheter captured 70% of all electrograms.

8 quality (LQ) was compared with high-quality electrograms.

9 ventional and novel methods was larger in LQ electrograms.

10 ethods was comparable in LQ and high-quality electrograms.

11 ng accuracy with increasing percentage of LQ electrograms.

12 ns of nonuniform conduction and fractionated electrograms.

13 modification of complex fractionated atrial electrograms.

14 m ICDs with stored, retrievable intracardiac electrograms.

15 reas of slow conduction and display abnormal electrograms.

16 apies were adjudicated based on intracardiac electrograms.

17 pathic VT served to define normal epicardial electrograms.

18 o assessed for wide (>80 ms), split, or late electrograms.

19 uniformly marked by multicomponent and late electrograms.

20 ic imaging-reconstructed epicardial unipolar electrograms.

21 actionation and decreased organization of AF electrograms.

22 can be determined accurately with omnipolar electrograms.

23 ecrease in AF and increased complexity of AF electrograms.

24 sed on a combination of bipolar and unipolar electrograms.

25 in atrial reentries and complex fractionated electrograms.

26 odes per patient showed interpretable atrial electrograms.

27 ionation, or repolarization abnormalities on electrograms.

28 tified using phase maps constructed from 112 electrograms.

29 Ablating fractionated electrograms (117+/-18 ms; 44+/-13% of tachycardia cycle

30 The majority of abnormal electrograms (130 of 151) were associated with transmura

31 nt elevation and inverted T wave of unipolar electrograms (2.21+/-0.67 versus 0 mV); (2) delayed righ

32 electrograms during VA preceded endocardial electrograms (-29+/-34 versus -15+/-21 ms; P=0.001).

33 PV trigger sites than a complex fractionated electrogram (33+/-9 versus 22+/-9; P<0.001).

34 ed in a significant increase in fractionated electrograms (7.9%+/- 7.0% versus -0.4 +/- 3.3; P=0.004)

35 <0.001), but not complex fractionated atrial electrogram ablation (OR, 0.64; 95% CI, 0.35-1.18; P=0.1

36 l isolation with complex fractionated atrial electrogram ablation (persistent and longstanding persis

37 PVI followed by complex fractionated atrial electrogram ablation and linear ablation (Substrate-modi

38 1 in addition to complex-fractionated atrial electrogram ablation while in AF (group 2).

39 ation during continuous complex fractionated electrogram ablation.

40 with additional complex-fractionated atrial electrogram ablation.

41 ion have a more extensive epicardial area of electrogram abnormalities and frequently have basal righ

42 The reconstructed unipolar AF electrograms acquired at bedside from multiple windows (

43 thesis that late potentials and fractionated electrogram activity are due to delayed depolarization w

44 enotype or of late potential or fractionated electrogram activity.

45 olar EVM unmasked >/=1 region of low-voltage electrogram affecting 26.2% (11.6-38.2) of RV wall.

46 In LR, electrograms along the carousel encompassed the full tac

47 nd decrease in conduction velocity (13%) and electrogram amplitude (21%) at MI borders compared with

48 discontinuity=0.45, r for collagen=0.26) and electrogram amplitude (r for adipose=0.73, r for contigu

49 LV endocardial unipolar electrogram amplitude and area of unipolar amplitude abn

50 Intramural bipolar electrogram amplitude and duration correlated closely wi

51 the relationship between endocardial contact electrogram amplitude and histological composition of my

52 Endocardial electrogram amplitude correlated significantly with IMAT

53 Reduced electrogram amplitude has been shown to correlate with d

54 plateauing from 500 g.s, a reduction in the electrogram amplitude of 20%.

55 car types were independently associated with electrogram amplitude, duration, and deflections in line

56 f predicting CF and lesion size by measuring electrogram amplitude, impedance, and electrode temperat

57 Notably, source regions showed mixed electrogram amplitudes and CFAE grades that did not diff

58 ies including humans, while most traditional electrogram analyses of AF do not.

59 dynamically stable, and voltage mapping with electrogram analysis and pacemapping.

60 Shock delivery and electrogram analysis could be ascertained from patients

61 low-voltage areas were compared, and direct electrogram analysis was performed in regions where disc

62 oach of PVI plus complex fractionated atrial electrogram and linear ablation.

63 ss of a capturing electrogram (P<0.001), but electrogram and pacing markers of slow conduction were d

64 lly correlated with the area of fractionated electrograms and activation delay at the RVOT epicardium

65 ology studies with recording of intracardiac electrograms and atrial and ventricular pacing were perf

66 Complex-fractionated atrial electrograms and atrial fibrosis are associated with mai

67 em event by 2 physicians after reviewing the electrograms and clinical data.

68 rrent-to-load mismatch, whereas fractionated electrograms and conduction delay are expected to be cau

69 The system automatically acquires electrograms and location information based on electrogr

70 theter ablation, we retrospectively analyzed electrograms and pacing at 546 separate low bipolar volt

71 hanced cardiac magnetic resonance with local electrograms and ventricular tachycardia circuit sites i

72 s (action potentials and unipolar or bipolar electrograms) and rotor stability on resolution requirem

73 et) and center of mass (B-LATCoM) of bipolar electrogram, and maximal negative slope of unipolar elec

74 ing of PVI, ablation of complex fractionated electrograms, and additional linear ablation lines in th

75 Although the majority of epicardial abnormal electrograms are associated with transmural scar with lo

76 ssarily identify the same sites and (2) some electrograms are far-field potentials that can be recogn

77 Because AF electrograms are thought to reflect AF substrate, we fur

78 Electrogram artifacts related to the MR imaging gradient

79 on recovery intervals measured from unipolar electrograms as a surrogate for APD (n=19) were recorded

80 ardial mapping to identify areas of abnormal electrograms as target for radiofrequency ablation.

81 ation increased the region with fractionated electrograms, as well as ST-segment elevation.

82 The characteristics of atrial electrograms associated with atrial fibrillation (AF) te

83 Ripple mapping (RM) displays each electrogram at its 3-dimensional coordinate as a bar cha

84 ferential response of the SVE and the atrial electrogram at the initiation of continuous right ventri

85 in identification of all epicardial abnormal electrograms at sites with <1.0 mm fat.

86 and 5 was difficult because of indiscernible electrograms at usual amplifier settings or presence of

87 that these correlate with impedance drop and electrogram attenuation.

88 on time (LAT) detect the peak of the bipolar electrogram (B-LATPeak) or the maximal negative slope of

89 hes adding the placement of linear lines and electrogram-based ablation after circumferential PVI iso

90 y, or AV delay optimized with SmartDelay, an electrogram-based algorithm.

91 (47 men; aged 54 +/- 9 years), who underwent electrogram-based catheter ablation in the left atrium a

92 n those patients in whom assessment of local electrogram-based criteria is not feasible because of in

93 roaden the amplitude distribution of bipolar electrograms because of directional information encoded

94 nd decreased duration of induced AF, with AF electrograms being more fractionated and less organized

95 ld left atrium from the local coronary sinus electrograms besides appropriate adjustments in catheter

96 r location on LGE-CMR, and local endocardial electrogram bipolar/unipolar voltage, duration, and defl

97 endent predictor was the bipolar low-voltage electrogram burden (hazard ratio=1.6 per 5%; 95% confide

98 pping, including complex fractionated atrial electrogram but not spectral parameter mapping, CF and c

99 duration correlated closely with endocardial electrograms, but were greater in amplitude and duration

100 +linear ablation+complex fractionated atrial electrogram (CFAE) ablation (CFAE arm) in patients with

101 lation guided by complex fractionated atrial electrogram (CFAE) mapping in 674 high-risk AF patients.

102 ared generalized complex fractionated atrial electrograms (CFAE) ablation versus a selective CFAE abl

103 Complex fractionated atrial electrograms (CFAE) are targets of atrial fibrillation (

104 voltage and (2) complex fractionated atrial electrograms (CFAE), using CFAE mean (the mean interval

105 tures, including complex fractionated atrial electrograms (CFAE).

106 ther ablation of complex fractionated atrial electrograms (CFAEs) after antral pulmonary vein isolati

107 tegies targeting complex fractionated atrial electrograms (CFAEs) are commonly employed to identify a

108 Ablation of complex fractionated atrial electrograms (CFAEs) has been proposed as a strategy to

109 lesions and ablation of complex fractionated electrograms (CFE).

110 Combining analysis of electrogram characteristics and assessment of pace captu

111 However, it is advisable to incorporate electrogram characteristics and the time-domain activati

112 or sites did not exhibit quantitative atrial electrogram characteristics expected from rotors and did

113 We investigated the electrogram characteristics that indicate procedural AF

114 age distribution, conduction velocities, and electrogram characteristics were analyzed during atrial

115 age and abnormal (fragmented/late potential) electrogram characteristics.

116 During AF, unipolar atrial electrograms collected from a 64-pole basket catheter we

117 y demonstrated that positive unipolar atrial electrogram completion, when applying radiofrequency ene

118 Inverse epicardial electrograms computed using individualized torso/epicard

119 driver regions harboured long, fractionated electrograms covering most of the fibrillatory cycle len

120 aims of this study were to establish normal electrogram criteria for 1-mm multielectrode-mapping cat

121 aims of this study were to establish normal electrogram criteria in the atria for both 3.5-mm electr

122 Multichannel ventricular fibrillation electrogram data from 7 isolated human hearts using Lang

123 Rotor localization errors are larger for electrogram data than for action potential data.

124 omprising 8-s contact force (CF) and bipolar electrogram data were analyzed.

125 Ripple mapping (RM) displays every electrogram deflection as a bar moving from the cardiac

126 rotors occur at locations where the bipolar electrogram demonstrates continuous activities during ve

127 mplantable cardioverter-defibrillator stored electrograms/diagnostics and clinical data as an LSE or

128 1-28.5) of radiofrequency ablation, abnormal electrograms disappeared, whereas low-voltage areas were

129 s tagged and ablated only regions displaying electrogram dispersion during AF.

130 irtual PentaRay recordings demonstrated that electrogram dispersion is mostly recorded in the vicinit

131 intact human heart, carbenoxolone prolonged electrogram duration in the right atrium (39.7+/-4.2 to

132 Antiarrhythmic drug use was associated with electrogram duration.

133 measured T-wave timing using an intracardiac electrogram during a ventricular pacing train.

134 Intramural electrograms during VA preceded endocardial electrograms

135 A major limitation to contemporary bipolar electrogram (EGM) analysis in AF is the resultant lower

136 Rigorously adjudicated electrogram (EGM) data were correlated with adjudicated

137 e impact of activation direction and rate on electrogram (EGM) fractionation.

138 The noise of bipolar electrogram (EGM) was systematically measured at 10 pres

139 ct the reentrant pattern characterization in electrogram (EGM), body surface potential mapping, and e

140 Because AF electrograms (EGMs) are thought to reflect the underlyin

141 ar-field (NF) bipolar right ventricular (RV) electrograms (EGMs) during induced ventricular fibrillat

142 High-resolution electrograms (EGMs) from the split-tip electrode allowed

143 implantable cardioverter-defibrillator (ICD) electrograms (EGMs) in identifying clinically documented

144 magnetic resonance imaging (MRI) and atrial electrograms (Egms) in persistent atrial fibrillation (A

145 RV pacing on left ventricular septal bipolar electrograms (EGMs); and (3) establish criteria for the

146 g-rank P = 0.013) and those with complete CC-electrogram elimination (log-rank P = 0.013).

147 Incomplete CC-electrogram elimination was the only independent predict

148 urrences are mainly related to incomplete CC-electrogram elimination.

149 The clustering of intracardiac electrograms exhibiting spatiotemporal dispersion is ind

150 Unipolar electrogram extracted modulation index-based detection o

151 Electrogram features are associated with scar morphology

152 The association of local electrogram features with scar morphology and distributi

153 sms for AF and allow interpretation of local electrogram features, including complex fractionated atr

154 ifficult so that ablation has often targeted electrogram features, with mixed results.

155 se and rotor modulation mapping), but not by electrogram footprints.

156 ted VT and pacemapping/targeting of abnormal electrograms for unmappable VT.

157 atrial, P=0.0002), and higher prevalence of electrogram fractionation (P=0.0001).

158 Animals receiving AdCx43 had less electrogram fractionation and faster conduction velocity

159 , we measured bi-atrial conduction time (CT) electrogram fractionation at 64 or 128 electrodes with b

160 We describe the generation of electrogram fractionation from changes in activation wav

161 he mechanisms underlying infarct border zone electrogram fractionation may be helpful to identify arr

162 was characterized by conduction slowing and electrogram fractionation transversely across the PV-LA

163 ce of activation wavefront discontinuity and electrogram fractionation, with the degree of fractionat

164 tics of low voltages, altered SR activation, electrogram fragmentation, and presence of late potentia

165 The ECM consisted of recording body surface electrograms from a 252-electrode-vest placed on the tor

166 Stored ICD electrograms from all shock episodes were adjudicated ce

167 t that enabled the computation of epicardial electrograms from body surface potentials.

168 imultaneously registered with 15 endocardial electrograms from both atria including the highest DF si

169 We recorded extracellular electrograms from hESC-CMs and iPSC-CMs under stable con

170 Electrograms from omnipolar mapping were derived and val

171 tored implantable cardioverter-defibrillator electrograms from spontaneous VT episodes.

172 Electrograms from the implantable cardioverter-defibrill

173 Bipolar and unipolar electrograms from the needle and catheter tip were analy

174 Electrogram-gated ablations created consistent lesions a

175 mized to conventional (nongated) 30 W versus electrogram-gated at 20% duty cycle (30 W average power)

176 lateral catheter sliding movements using an electrogram-gated pulsed power ablation.

177 r degrees of lateral catheter movements; (2) electrogram-gated pulsed radiofrequency delivery negated

178 depths were reached significantly faster in electrogram-gated than in conventional ablations.

179 Deeper lesions were created in electrogram-gated versus conventional ablations at 3 mm

180 ning 17 focal ATs had localized fractionated electrograms (>/=35% of tachycardia cycle length) at the

181 ally in suspected sarcoidosis, by the use of electrogram guidance to target regions of abnormal signa

182 derwent pulmonary vein isolation followed by electrogram-guided ablation.

183 ablation approach (pulmonary vein isolation, electrogram-guided, and linear ablation) with the desire

184 Eighty-six percent of abnormal epicardial electrograms had corresponding endocardial sites with BV

185 versely associated with complex fractionated electrogram; however, there was no relationship at the s

186 Previous knowledge of electrogram image associations may optimize procedural s

187 We prospectively analyzed intracardiac electrograms in 125 explanted ICDs.

188 was confirmed via recording of intracardiac electrograms in both patients.

189 We analyzed intramural needle electrograms in relation to endocardial electrograms.

190 must be differentiated by interpretation of electrograms in the candidate circuit and activation in

191 roterenol, entrainment in some, and abnormal electrograms in the periaortic area.

192 eater activation delay and more fractionated electrograms in the RVOT region than controls.

193 The electrograms in these areas are not only small (<1.0 mV)

194 Similarly, areas with abnormal electrograms increased after flecainide from 19.0 (17.5-

195 ment, conduction abnormalities, fractionated electrograms, increased profibrotic TGF-beta1 expression

196 trated by a long stimulus to upstream atrial electrogram interval (S-Au) >75% TCL and was consistent

197 increase in the complex fractionated atrial electrogram interval confidence level score, but only if

198 ms, resulting in complex fractionated atrial electrogram-like activity.

199 n 237) beats and 833 to 12 412 (median 3589) electrograms (</=2 to </=5 mm from surface geometry), re

200 The LP were defined as low voltage electrograms (<1.5 mV) with onset after the QRS interval

201 During left atrial electrogram mapping, including complex fractionated atri

202 Conduction restitution, but not fractionated electrograms, may thus track the functional milieu enabl

203 tes and with respect to complex fractionated electrogram mean.

204 Sites showing complex, fractionated electrograms (mean FI </= 60 ms) were targeted, and AF w

205 8]; P=0.024) and higher complex fractionated electrogram-mean interval (102.7 +/- 19.8 versus 87.7 +/

206 asting 30 seconds irrespective of the atrial electrogram modification.

207 us mapping capability), a method to identify electrogram morphologies colocalizing to rotors that can

208 ear measurement of the repetitiveness of the electrogram morphology>6 seconds).

209 EBW electrograms most often consisted of double and fraction

210 ing to rotors that can be implemented on few electrograms needs to be devised.

211 During AF, multiple foci (QS unipolar atrial electrograms) of different cycle lengths (mean, 175 +/-

212 diac magnetic resonance (LGE-CMR) with local electrograms on electroanatomic mapping has been investi

213 layed pace-related advancement of the atrial electrogram, once the local septal parahisian ventricula

214 sinus rhythm focuses on sites with abnormal electrograms or pace-mapping findings of QRS morphology

215 uring pacing and the lateness of a capturing electrogram (P<0.001), but electrogram and pacing marker

216 ogeneity (p < 0.001); increased fractionated electrograms (p < 0.001); decreased posterior LA voltage

217 Electrogram parameters and initial impedance are poor pr

218 ssion system that analyzes 9 intramyocardial electrogram parameters recorded from 4 or 6 configuratio

219 Features were extracted from the unipolar electrogram patterns, which corroborated well with the s

220 nted by action potentials while fibrillatory electrograms poorly represent repolarization.

221 ICD electrograms preceding the first shock were adjudicated.

222 beginning of the QRS complex to the local LV electrogram (QLV), was found in previous studies to be a

223 assessed as the time from QRS onset to LVLP electrogram (QLV).

224 DFs were determined for 5-second-long electrograms (QRST subtracted) during AF in vivo and in

225 he negative component of the unipolar atrial electrogram (R morphology completion) during radiofreque

226 owed 49.7% wide (>80 ms), split, and/or late electrograms rarely seen in the reference patients (2.3%

227 er compared with fractionated multicomponent electrogram recorded with the 3.5-mm electrode catheter.

228 entials and fractionated activity on bipolar electrograms recorded in the epicardium of the RV outflo

229 Careful evaluation of electrograms recorded on the multipolar coronary sinus a

230 Noncontact electrograms recorded simultaneously from 256 left atria

231 The intracardiac bipolar atrial electrogram recordings were characterized by (1) fractio

232 Bipolar electrogram recordings were studied in 4 systems: (1) co

233 he negative component of the unipolar atrial electrogram reflects, in general, irreversible transmura

234 ICNA might contaminate local atrial electrograms, resulting in complex fractionated atrial e

235 Analysis of in vivo electrograms revealed longer APD in LV than RV (207.8 +/

236 Among a total of 13 060 electrograms reviewed in the whole study population, 538

237 olarization times were derived from unipolar electrograms sampling the ventricular myocardium.

238 ut no changes in complex fractionated atrial electrogram scores, dominant frequency or organization i

239 Importantly, 27% of these dense scar electrograms showed distinct triphasic electrograms when

240 The analysis of bipolar electrogram signatures in the vicinity of the rotor loca

241 urtosis, and higher degree of a beat-to-beat electrogram similarity than areas without or outside the

242 id repetitive activity with a high degree of electrogram similarity.

243 The conventional complex fractionated electrogram sites (mean </= 120 ms) in patients with AF

244 ablation of left atrial complex fractionated electrogram sites.

245 ectrograms and location information based on electrogram stability and respiration phase.

246 0.16 versus 3.74+/-1.60 mV) and fractionated electrograms, suggesting slow discontinuous conduction;

247 chniques may diverge in fibrillation because electrograms summate non-coherent waves within an undefi

248 once the local septal parahisian ventricular electrogram (SVE) has been advanced, may help in this di

249 Termination site needle electrograms tended to be earlier than nontermination si

250 ed with 1-mm electrode catheter had distinct electrograms that allowed annotation of local activation

251 The electrograms that displayed the greatest decrement in ea

252 During pace-mapping, electrograms that exhibit MES and PMI may be specific fo

253 ocardiographic imaging constructs epicardial electrograms that have characteristics of reduced amplit

254 Here, we introduce omnipolar electrograms that originate from the natural direction o

255 m underlying spatiotemporal dispersion of AF electrograms, the authors conducted realistic numerical

256 In LQ atrial and ventricular electrograms, the novel LAT methods (B-LATOnset, B-LATCo

257 pple mapping displays every deflection of an electrogram, thereby providing fully informative activat

258 cteristic curves were used to derive optimal electrogram thresholds for IMAT delineation during endoc

259 e may allow us to record nodal and perinodal electrograms to better understand these complex arrhythm

260 We aimed to evaluate scar electrograms to determine their local delay (activation

261 The use of intracardiac electrograms to guide atrial fibrillation (AF) ablation

262 r the maximal negative slope of the unipolar electrogram (U-LATSlope).

263 itude of the bipolar or unipolar ventricular electrogram, unipolar injury current, and impedance.

264 yzing quantitative characteristics of atrial electrograms used to identify rotors and describe acute

265 hip was assessed between wall stress and (1) electrogram voltage and (2) complex fractionated atrial

266 Electrogram voltage showed an inverse relationship acros

267 l endoscopic catheter correlate with bipolar electrogram voltage.

268 ff for identification of abnormal epicardial electrogram was 3.7 mV (area under the curve, 0.88; sens

269 (<1.5 mV) and unipolar (<6.0 mV) low-voltage electrograms was estimated using the CARTO-incorporated

270 Isolated spikes on electrogram were associated more often with LF in St.

271 In vivo electrograms were acquired at 240 sites covering the epi

272 Electrograms were acquired from 10 LV and 10 RV endocard

273 To test the model, bipolar electrograms were acquired from infarct border zone site

274 Electrograms were analyzed for repeating patterns and di

275 Scar electrograms were analyzed in time and voltage domains t

276 In vivo epicardial border zones electrograms were broad and fragmented in sham, narrower

277 Electrograms were characterized as showing evidence of s

278 density bipolar left ventricular endocardial electrograms were collected using CARTO3v4 in sinus rhyt

279 duction velocities calculated from omnipolar electrograms were compared with wavefront propagation fr

280 acteristics of model-generated versus actual electrograms were compared.

281 In 32/49 (67%) ATs, electrograms were nonfractionated, and <50% of tachycard

282 Complex fractionated atrial electrograms were observed during ICNA discharges that p

283 Electrograms were obtained weekly from an RA lead and an

284 Nonuniform conduction and fractionated electrograms were present in the early concealed phase o

285 Action potential and bipolar electrograms were recorded at epicardial and endocardial

286 Real-time intracardiac electrograms were recorded during MRI.

287 perfused pig hearts, 180 intramural unipolar electrograms were recorded during sinus rhythm and ectop

288 During AF, electrograms were recorded from both atria simultaneousl

289 Sites with abnormal electrograms were tagged, stimulated (bipolar 10 mA at 2

290 ion sites (initial r or R in unipolar atrial electrograms) were also found.

291 scar electrograms showed distinct triphasic electrograms when mapped using a 1-mm multielectrode cat

292 lation targeting complex-fractionated atrial electrograms while in AF.

293 (FTI) correlated with the attenuation of the electrogram with ablation (Spearman rho, -0.14; P=0.02):

294 g parietal band VAs, a far-field ventricular electrogram with an early activation was always recorded

295 Very late potentials (vLP) were defined as electrograms with onset >100 ms after the QRS.

296 ; P=0.001); (2) evidence of early/pre-QRS LV electrograms with Purkinje potentials; (3) rapid propaga

297 A combination of scar electrograms with the latest mean activation time and mi

298 gram, and maximal negative slope of unipolar electrogram within a predefined bipolar window (U-LATSlo

299 , left vagal nerve activity, and left atrial electrogram without pacing for 24 hours.

300 over the epicardium or endocardium; abnormal electrograms would be identified at this location, which