Med Biol Eng Comput - Spatial complexity and spectral distribution variability of atrial activity in surface ECG recordings of atrial fibrillation.

Tópicos

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{ data(1737) use(1416) pattern(1282) }
{ imag(2675) segment(2577) method(1081) }
{ studi(1410) differ(1259) use(1210) }
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{ activ(1138) subject(705) human(624) }
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{ group(2977) signific(1463) compar(1072) }
{ time(1939) patient(1703) rate(768) }
{ imag(2830) propos(1344) filter(1198) }
{ studi(2440) review(1878) systemat(933) }
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Resumo

Considerable research effort has been devoted to the estimation of the degree of organisation of atrial fibrillation (AF), to potentially support clinical decision making. The aims of this study were to: (1) analyse the temporal variability of spatial organisation (complexity) and spectral distribution of AF in body surface potential maps (BSPM), proposing an automated implementation of the analysis and (2) assess the applicability to reduced lead-sets. Twenty-one persistent AF recordings of 3 min each (64 BSPM: 32 anterior, 32 posterior) were analysed. The relationship between spatial organisation (C) and its variability (CV) was quantified on automatically delineated TQ segments. The relationship between spectral concentration (SC) and spectral variability (SV) was quantified on the atrial activity (AA) extracted using principal component analysis. Three different lead-sets: 64, 32 anterior and 10 anterior channels were considered. Significant (p < 0.001) correlation () was found: (CV, C) = 0.80, (SC, SV) =-0.83 for all lead-sets. The results suggest that a higher degree of spatial organisation is associated with reduced variability of spatial organisation over time, and lower spectral variability associated with more prominent spectral peak in the AF frequency band (4-10 Hz).

Resumo Limpo

consider research effort devot estim degre organis atrial fibril af potenti support clinic decis make aim studi analys tempor variabl spatial organis complex spectral distribut af bodi surfac potenti map bspm propos autom implement analysi assess applic reduc leadset twentyon persist af record min bspm anterior posterior analys relationship spatial organis c variabl cv quantifi automat delin tq segment relationship spectral concentr sc spectral variabl sv quantifi atrial activ aa extract use princip compon analysi three differ leadset anterior anterior channel consid signific p correl found cv c sc sv leadset result suggest higher degre spatial organis associ reduc variabl spatial organis time lower spectral variabl associ promin spectral peak af frequenc band hz

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