ライフサイエンスコーパス: electrogram

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

2 evelopment of a completely positive unipolar electrogram.

3 nalization exhibited new noise on near-field electrogram.

4 ecrease in AF and increased complexity of AF electrograms.

5 sed on a combination of bipolar and unipolar electrograms.

6 in atrial reentries and complex fractionated electrograms.

7 odes per patient showed interpretable atrial electrograms.

8 ionation, or repolarization abnormalities on electrograms.

9 tified using phase maps constructed from 112 electrograms.

10 edle electrograms in relation to endocardial electrograms.

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

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

13 ventional and novel methods was larger in LQ electrograms.

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

15 ng accuracy with increasing percentage of LQ electrograms.

16 modification of complex fractionated atrial electrograms.

17 m ICDs with stored, retrievable intracardiac electrograms.

18 reas of slow conduction and display abnormal electrograms.

19 icantly improved classification of AF driver electrograms.

20 implantable cardioverter-defibrillator (ICD) electrograms.

21 n of ECGI and contact-mapping system (CARTO) electrograms.

22 ns of nonuniform conduction and fractionated electrograms.

23 ic imaging-reconstructed epicardial unipolar electrograms.

24 actionation and decreased organization of AF electrograms.

25 can be determined accurately with omnipolar electrograms.

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

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

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

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

30 V, P=0.04), and more frequently fractionated electrograms (67% versus 24%, P=0.0004).

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

32 <0.001), but not complex fractionated atrial electrogram ablation (OR, 0.64; 95% CI, 0.35-1.18; P=0.1

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

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

35 1 in addition to complex-fractionated atrial electrogram ablation while in AF (group 2).

36 ation during continuous complex fractionated electrogram ablation.

37 with additional complex-fractionated atrial electrogram ablation.

38 een LA LGE on cardiac magnetic resonance and electrogram abnormalities in patients with atrial fibril

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

40 LA electrogram activation delay was associated with SI-Z in

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

42 enotype or of late potential or fractionated electrogram activity.

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

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

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

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

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

48 Intramural bipolar electrogram amplitude and duration correlated closely wi

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

50 Endocardial electrogram amplitude correlated significantly with IMAT

51 Reduced electrogram amplitude has been shown to correlate with d

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

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

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

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

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

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

58 nderwent ablation using the RADAR (Real-Time Electrogram Analysis for Drivers of Atrial Fibrillation)

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

60 Change of the local CS atrial electrogram and LA activation sequence to early activati

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

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

63 After pulmonary vein isolation, electrogram and spatial information was streamed to the

64 cally challenging and is currently guided by electrograms and 2-dimensional fluoroscopy.

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

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

67 agmentation/fractionation of the endocardial electrograms and by 3-dimensional anatomic location of t

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

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

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

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

72 Intracardiac electrograms and pacing parameters were recorded.

73 ce ECG and conscious telemetry, intracardiac electrograms and pacing, and optical mapping studies.

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

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

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

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

78 pping of atrial tachycardia (AT) that avoids electrogram annotation.

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

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

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

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

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

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

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

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

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

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

89 The intracardiac electrograms atrial/ventricular ratio at the lead deploy

90 Intracardiac electrograms atrial/ventricular ratio at the lead deploy

91 that these correlate with impedance drop and electrogram attenuation.

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

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

94 (47 men; aged 54 +/- 9 years), who underwent electrogram-based catheter ablation in the left atrium a

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

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

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

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

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

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

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

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

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

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

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

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

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

108 Combining analysis of electrogram characteristics and assessment of pace captu

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

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

111 We investigated the electrogram characteristics that indicate procedural AF

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

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

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

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

116 ECGI and contact electrogram correlation is sensitive to electrode apposi

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

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

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

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

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

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

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

124 ctivation maps annotated to the latest local electrogram deflection were created with high-density mu

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

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

127 nd intermediate forms, which are multiphasic electrograms different from an ideal MAP.

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 apted for sequentially acquired intracardiac electrograms during human persistent atrial fibrillation

133 Intramural electrograms during VA preceded endocardial electrograms

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

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

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

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

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

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

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

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

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

143 Incomplete CC-electrogram elimination was the only independent predict

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

145 The clustering of intracardiac electrograms exhibiting spatiotemporal dispersion is ind

146 Unipolar electrogram extracted modulation index-based detection o

147 Electrogram features are associated with scar morphology

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

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

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

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

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

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

154 The association of LGE with electrogram fractionation and delay remains to be examin

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

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

157 aive patients, atrial LGE is associated with electrogram fractionation even in the absence of voltage

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

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

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

161 In contrast, increased LA electrogram fractionation was associated with SI-Z (coef

162 Electrogram fractionation was significantly higher in th

163 y correlated with slowed conduction, greater electrogram fractionation, increased fibrosis, and later

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

165 Compared with analysis of single electrogram frequency features, averaging the features f

166 ized that application of machine learning to electrogram frequency spectra may accurately automate dr

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

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

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

170 Electrograms from omnipolar mapping were derived and val

171 Electrograms from the implantable cardioverter-defibrill

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

173 Electrogram-gated ablations created consistent lesions a

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

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

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

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

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

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

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

181 apping based on stored ICD-electrograms (ICD-electrogram-guided ablation group).

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

183 recurred in 5 patients (15%) in whom the ICD-electrogram-guided approach was performed and in 13 pati

184 t VT was higher (log-rank P=0.04) in the ICD-electrogram-guided group, but there was no difference in

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

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

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

188 targeted by pace-mapping based on stored ICD-electrograms (ICD-electrogram-guided ablation group).

189 Previous knowledge of electrogram image associations may optimize procedural s

190 We prospectively analyzed intracardiac electrograms in 125 explanted ICDs.

191 (GMC)-allowing for bipolar recordings of the electrograms in each orthogonal direction-became availab

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

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

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

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

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

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

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

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

200 ble postinfarction clinical VTs based on ICD-electrograms is feasible and reduces the risk of recurre

201 lation during sinus rhythm or LA pacing, and electrogram locations were coregistered with cardiac mag

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

203 diac magnetic resonance was performed before electrogram mapping and ablation in atrial fibrillation

204 Electrogram mapping was performed pre-ablation during si

205 During left atrial electrogram mapping, including complex fractionated atri

206 tes and with respect to complex fractionated electrogram mean.

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

208 ine electrodes recorded unipolar and bipolar electrograms; microwave ablation caused reductions in vo

209 asting 30 seconds irrespective of the atrial electrogram modification.

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

211 caused reductions in voltage and changes in electrogram morphology with loss of pace-capture.

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

213 ight) in 8 patients was performed to compare electrogram morphology, activation time (AT), and repola

214 EBW electrograms most often consisted of double and fraction

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

216 Bi-atrial intracardiac electrograms of 47 patients with AF at ablation (30 pers

217 Filtered unipolar and bipolar electrograms of continuous 2-minute AF recordings and el

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

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

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

221 ns that either delayed the subsequent atrial electrogram or terminated the tachycardia (n=3), and by

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

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

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

225 Electrogram parameters and initial impedance are poor pr

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

227 ation (age, 63.2+/-9.2 years; 1312.3+/-767.3 electrogram points per patient), lower bipolar voltage w

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

229 ICD electrograms preceding the first shock were adjudicated.

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

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

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

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

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

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

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

237 features allows efficient classification of electrograms recordings as AF driver or nondriver compar

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

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

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

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

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

243 ptum was mapped via EAM, and His bundle (HB) electrograms, selective, and nonselective HB capture sit

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

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

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

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

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

249 0.16 versus 3.74+/-1.60 mV) and fractionated electrograms, suggesting slow discontinuous conduction;

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

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

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

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

254 The electrograms that displayed the greatest decrement in ea

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

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

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

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

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

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

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

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

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

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

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

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

267 Electrogram voltage showed an inverse relationship acros

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

269 The duration of the longest diastolic electrogram was inversely correlated with the dimensions

270 orphological similarity between the unipolar electrograms was equal to 0.71 (0.65-0.74) for the entir

271 (<1.5 mV) and unipolar (<6.0 mV) low-voltage electrograms was estimated using the CARTO-incorporated

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

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

274 Electrograms were acquired from 10 LV and 10 RV endocard

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

276 Electrograms were analyzed for repeating patterns and di

277 Unipolar AF electrograms were analyzed from 64-pole baskets to recon

278 Scar electrograms were analyzed in time and voltage domains t

279 Electrograms were characterized as showing evidence of s

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

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

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

283 Complex fractionated electrograms were defined as bipolar electrograms with >

284 Long, continuous electrograms were indicative of spatially confined isthm

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

286 Electrograms were obtained weekly from an RA lead and an

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

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

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

290 During AF, electrograms were recorded from both atria simultaneousl

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

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

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

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

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

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

297 ionated electrograms were defined as bipolar electrograms with >=5 directional changes occupying at l

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

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

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